Education

India Trains 2,500 Artisans in AI

India's MSME Ministry has trained over 2,500 artisans in AI tools under the PM Vishwakarma Scheme, aiming to enhance digital skills and market competitiveness.

Teacher v chatbot: my journey into the classroom in the age of AI – podcast

I was a newcomer, negotiating all of the usual classroom difficulties for the first time. Throwing AI into the mix felt like downing a coffee in the middle of a panic attack By Peter C Baker. Read by Adam Sims Continue reading...

India Trains 2,500 Artisans in AI for Inclusive Digital Transformation Under PM Vishwakarma Scheme

India's MSME Ministry has trained over 2,500 artisans in AI tools under the PM Vishwakarma Scheme, aiming to enhance digital skills and market competitiveness.

Economists Are Changing Their New Minds on Why AI’s Threat Jobs Now Seriously - Linkdood Technologies

This challenges the traditional ... and job creation. Economists are now focusing on the risk of structural displacement—a scenario where: ... One of the most alarming trends is the erosion of entry-level jobs. ... AI is now automating many of these positions, creating a bottleneck for new workers entering the labor market...

Alpha Signal Community Growth

At Alpha Signal, our mission is to build a sharp, engaged community focused on AI, machine learning, and cutting-edge language models, helping over 200,000 developers stay informed and ahead.

Vantage in Google Labs

Practice & assess future-ready skills with AI-simulated team.

How fears of AI disruption are reshaping career choices and increasing interest in graduate education among youth - The Times of India

News News: As artificial intelligence reshapes hiring patterns and disrupts traditional entry-level roles, a growing number of young graduates are rethinking the.

Punjab Leads AI Education Revolution with Google and Intel Workshops, PSEB Embeds AI in Curriculum

Punjab's education system is set to integrate AI and robotics into its curriculum, starting this academic session, as announced at a recent conference.

Opinion | AI detectors are hurting honest students. Schools should ban them. - The Washington Post

Increasingly, teachers and schools fretting over students using artificial intelligence to complete their assignments are turning to AI detectors to catch would-be cheaters. That may sound like a smar.

Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving

arXiv:2512.10159v2 Announce Type: replace Abstract: LLMs have demonstrated strong performance in data-rich domains such as programming, yet their reliability in engineering tasks remains limited. Circuit analysis--requiring multimodal understanding and precise mathematical reasoning--highlights these challenges. Although Gemini 2.5 Pro shows improved capabilities in diagram interpretation and analog-circuit reasoning, it still struggles to consistently produce correct solutions when given both textual problem descriptions and circuit diagrams. Meanwhile, engineering education demands scalable AI tools capable of generating accurate solutions for applications such as automated homework feedback. This paper presents an enhanced end-to-end circuit problem-solving framework built upon Gemini. We first conduct a systematic benchmark on undergraduate circuit problems and identify two key failure modes: 1) circuit-recognition hallucinations, particularly incorrect source polarity detection, and 2) reasoning-process hallucinations, such as incorrect current direction assumptions. To address recognition errors, we integrate a fine-tuned YOLO detector and OpenCV-based processing to isolate voltage and current sources, enabling Gemini to accurately re-identify source polarities from cropped images. To mitigate reasoning errors, we introduce an ngspice-driven verification loop, in which simulation discrepancies trigger iterative solution refinement with optional HITL feedback. Experimental results demonstrate that the proposed pipeline achieves 97.59% accuracy, substantially outperforming Gemini's baseline of 79.52%. Furthermore, on four variations of hand-drawn circuit diagrams, accuracy improves from 56.06%--71.21% to 93.94%--95.45% with statistically significant gains. These results highlight the robustness, scalability, and practical applicability of the proposed framework for engineering education and real-world circuit analysis tasks.

Generative AI in Higher Education: Evidence from an Elite College

arXiv:2508.00717v2 Announce Type: replace Abstract: Generative AI is transforming higher education, yet systematic evidence on student adoption, usage patterns, and perceived learning impacts remains scarce. Using survey data from a selective U.S. college, we document rapid generative-AI adoption, reaching over 80 percent within two years of ChatGPT's release. Adoption varies sharply across disci

Who Decides in AI-Mediated Learning? The Agency Allocation Framework

arXiv:2604.13534v1 Announce Type: new Abstract: As AI-mediated learning systems increasingly shape how learners plan, decide, and progress through education, learner agency is becoming both more consequential and harder to conceptualize at scale. Existing research often treats agency as a proxy for engagement and self-regulation, leaving unclear who actually holds decision-making authority in large-scale, automated learning environments. This paper reframes learner agency as the allocation of decision authority across learners, educators, institutions, and AI systems. We introduce the Agency Allocation Framework (AAF) for analyzing how decisions are distributed, how choices are architected, what evidence supports them, and over what time horizons their consequences unfold. Drawing on a focused review of Learning@Scale literature and an illustrative tutoring-system example, we identify four recurring challenges for studying learner agency at scale: (1) conceptual ambiguity, (2) reliance on behavioral proxies, (3) trade-offs between efficiency and learner control, and (4) the redistribution of agency through AI-mediated systems. Rather than advocating more or less automation, the AAF supports systematic analysis of when AI scaffolds learners' capacity to act and when it substitutes for it. By making decision authority explicit, the framework provides researchers and designers with analytic tools for studying, comparing, and evaluating agency-preserving learning systems in increasingly automated educational contexts.

Lessons from Skill Development Programs -- Livelihood College of Dhamtari

arXiv:2604.13317v1 Announce Type: new Abstract: Skill training is crucial for enabling dignified livelihood opportunities. In India, various schemes and initiatives aim to provide skill training in different domains, with ICT and digital technologies playing a vital role. However, there is limited research on understanding on-ground capacities \& constraints and the use of digital tools in these programs. In this study, we look into the mobilization, counseling, and training stages of the 5-stage skill development process that also includes placement and tracking, adopted in Dhamtari's Livelihood College in Chhattisgarh, India, and other programs nationwide. Through the immersion/crystallization approach and mixed-method analysis including GIS mapping, video analysis of CCTV streams, quantitative analysis, and unstructured conversations with administrators, trainers, mobilizers, counselors, and nearby industry personnel for over a year, we identified three major challenges. A lack of inclusive and gendered access to skilling; a tedious manual counseling process with insufficient support staff; and inconsistent trainee attendance alongside sub-standard utilization of digital assets. Finally, we discuss, ways to improve access to skill training by leveraging Vocational Training Partners(VTPs), ways to improve the utilization of existing digital assets, and considerations for improving the counseling process. We conclude by summarizing that skill development programs currently lack institutional elements that enable effective information exchange between stakeholders, thereby creating information bottlenecks that result in inefficiencies, hindering the service delivery. In sum, our study informs the HCI and ICTD literature on the on-ground challenges and constraints faced by stakeholders and the role of technology in supporting such initiatives.

Are we ready to place lab experiments in non-human hands?

Stephen D Turner of the University of Virginia explores the importance of governance and oversight around AI in the design and execution of lab experiments. Read more: Are we ready to place lab experiments in non-human hands?

Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach

arXiv:2604.13666v1 Announce Type: new Abstract: Assessing teachers' geometric content knowledge is essential for geometry instructional quality and student learning, but difficult to scale. The Van Hiele model characterizes geometric reasoning through five hierarchical levels. Traditional Van Hiele assessment relies on manual expert analysis of open-ended responses. This process is time-consuming, costly, and prevents large-scale evaluation. This study develops an automated approach for diagnosing teachers' Van Hiele reasoning levels using large language models grounded in educational theory. Our central hypothesis is that integrating explicit skills information significantly improves Van Hiele classification. In collaboration with mathematics education researchers, we built a structured skills dictionary decomposing the Van Hiele levels into 33 fine-grained reasoning skills. Through a custom web platform, 31 pre-service teachers solved geometry problems, yielding 226 responses. Expert researchers then annotated each response with its Van Hiele level and demonstrated skills from the dictionary. Using this annotated dataset, we implemented two classification approaches: (1) retrieval-augmented generation (RAG) and (2) multi-task learning (MTL). Each approach compared a skills-aware variant incorporating the skills dictionary against a baseline without skills information. Results showed that for both methods, skills-aware variants significantly outperformed baselines across multiple evaluation metrics. This work provides the first automated approach for Van Hiele level classification from open-ended responses. It offers a scalable, theory-grounded method for assessing teachers' geometric reasoning that can enable large-scale evaluation and support adaptive, personalized teacher learning systems.

Stanford AI Index 2026 shows AI adoption pressure on education and jobs | ETIH EdTech News — EdTech Innovation Hub

AI in education, edtech AI tools, and AI skills demand surge in Stanford AI Index 2026. Up to 84 percent of students use AI, while jobs, infrastructure, and policy struggle to keep pace. ETIH edtech news covers digital learning, workforce skills, and AI adoption impact

Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment

arXiv:2604.12851v1 Announce Type: new Abstract: Despite their global prevalence, many Large Language Models (LLMs) are aligned to a monolithic, often Western-centric set of values. This paper investigates the more challenging task of fine-grained value alignment: examining whether LLMs can emulate the distinct cultural values of demographic subgroups. Using Singapore as a case study and the World Values Survey (WVS), we examine the value landscape and show that even state-of-the-art models like GPT-4.1 achieve only 57.4% accuracy in predicting subgroup modal preferences. We construct a dataset of over 20,000 samples to train and evaluate a range of models. We demonstrate that simple fine-tuning on structured numerical preferences yields substantial gains, improving accuracy on unseen, out-of-distribution subgroups by an average of 17.4%. These gains partially transfer to open-ended generation. However, we find significant pre-existing performance biases, where models better emulate young, male, Chinese, and Christian personas. Furthermore, while fine-tuning improves average performance, it widens the disparity between subgroups when measured by distance-aware metrics. Our work offers insights into the limits and fairness implications of subgroup-level cultural alignment.

Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation

arXiv:2604.12066v1 Announce Type: new Abstract: Large language models can increasingly adapt educational tasks to learners characteristics. In the present study, we examine a multi-agent teacher-in-the-loop system for personalizing middle school math problems. The teacher enters a base problem and desired topic, the LLM generates the problem, and then four AI agents evaluate the problem using criteria that each specializes in (mathematical accuracy, authenticity, readability, and realism). Eight middle school mathematics teachers created 212 problems in ASSISTments using the system and assigned these problems to their students. We find that both teachers and students wanted to modify the fine-grained personalized elements of the real-world context of the problems, signaling issues with authenticity and fit. Although the agents detected many issues with realism as the problems were being written, there were few realism issues noted by teachers and students in the final versions. Issues with readability and mathematical hallucinations were also somewhat rare. Implications for multi-agent systems for personalization that support teacher control are given.

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses

arXiv:2604.11924v1 Announce Type: new Abstract: While LLMs hold significant potential to transform scientific research, we advocate for their use to augment and empower researchers rather than to automate research without human oversight. To this end, we study constructive feedback generation, the task of producing targeted, actionable feedback that helps authors improve both their research and its presentation. In this work, we operationalize the effectiveness of feedback along two author-centric axes-validity and author action. We first curate GoodPoint-ICLR, a dataset of 19K ICLR papers with reviewer feedback annotated along both dimensions using author responses. Building on this, we introduce GoodPoint, a training recipe that leverages success signals from author responses through fine-tuning on valid and actionable feedback, together with preference optimization on both real and synthetic preference pairs. Our evaluation on a benchmark of 1.2K ICLR papers shows that a GoodPoint-trained Qwen3-8B improves the predicted success rate by 83.7% over the base model and sets a new state-of-the-art among LLMs of similar size in feedback matching on a golden human feedback set, even surpassing Gemini-3-flash in precision. We further validate these findings through an expert human study, demonstrating that GoodPoint consistently delivers higher practical value as perceived by authors.

Design and Deployment of a Course-Aware AI Tutor in an Introductory Programming Course

arXiv:2604.11836v1 Announce Type: new Abstract: Large Language Models (LLMs) have become part of how students solve programming tasks, offering immediate explanations and even full solutions. Previous work has highlighted that novice programmers often heavily rely on LLMs, thereby neglecting their own problem-solving skills. To address this challenge, we designed a course-specific online Python tutor that provides retrieval-augmented, course-aligned guidance without generating complete solutions. The tutor integrates a web-based programming environment with a conversational agent that offers hints, Socratic questions, and explanations grounded in course materials. Students used the system during self-study to work on homework assignments, and the tutor also supported questions about the broader course material. We collected structured student feedback and analyzed interaction logs to investigate how they engaged with the tutor's guidance. We observed that students used the tutor primarily for conceptual understanding, implementation guidance, and debugging, and perceived it as a course-aligned, context-aware learning support that encourages engagement rather than direct solution copying.

As someone who teaches at a business school, I can tell you that the pre-professional student population (as opposed to liberal arts or thos

As someone who teaches at a business school, I can tell you that the pre-professional student population (as opposed to liberal arts or those pursuing academia or a topic of personal excitement) is extremely sensitive to signs of expected market demand in their fields of interest

Good Question! The Effect of Positive Feedback on Contributions to Online Public Goods

arXiv:2604.10360v1 Announce Type: cross Abstract: Online platforms where volunteers answer each other's questions are important sources of knowledge, yet participation is declining. We ran a pre-registered experiment on Stack Overflow, one of the largest Q&A communities for software development (N = 22,856), randomly assigning newly posted questions to receive an anonymous upvote. Within four weeks, treated users were 6.3% more likely to ask another question and 12.9% more likely to answer someone else's question. A second upvote produced no additional effect. The effect on answering was larger, more persistent, and still significant at twelve weeks. Next, we examine how much of these effects are due to algorithmic amplification, since upvotes also raise a question's rank and visibility. Algorithmic amplification is not important for the effect on asking additional questions, but it matters a lot for the effect on answering other questions. The increase in visibility increases the probability that another user provides an answer, and that experience appears to shift the poster toward broader community participation.

Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum

arXiv:2604.09619v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into educational ecosystems promises to democratize access to personalized tutoring, yet the readiness of these systems for deployment in non-Western, low-resource contexts remains critically under-examined. This study presents a systematic evaluation of four state-of-the-art LLMs--GPT-4o, Claude Sonnet 4, Qwen3-235B, and Kimi K2--assessing their capacity to function as AI tutors within the specific curricular and cultural framework of Nepal's Grade 5-10 Science and Mathematics education. We introduce a novel, curriculum-aligned benchmark and a fine-grained evaluation framework inspired by the "natural language unit tests" paradigm, decomposing pedagogical efficacy into seven binary metrics: Prompt Alignment, Factual Correctness, Clarity, Contextual Relevance, Engagement, Harmful Content Avoidance, and Solution Accuracy. Our results reveal a stark "curriculum-alignment gap." While frontier models (GPT-4o, Claude Sonnet 4) achieve high aggregate reliability (approximately 97%), significant deficiencies persist in pedagogical clarity and cultural contextualization. We identify two pervasive failure modes: the "Expert's Curse," where models solve complex problems but fail to explain them clearly to novices, and the "Foundational Fallacy," where performance paradoxically degrades on simpler, lower-grade material due to an inability to adapt to younger learners' cognitive constraints. Furthermore, regional models like Kimi K2 exhibit a "Contextual Blindspot," failing to provide culturally relevant examples in over 20% of interactions. These findings suggest that off-the-shelf LLMs are not yet ready for autonomous deployment in Nepalese classrooms. We propose a "human-in-the-loop" deployment strategy and offer a methodological blueprint for curriculum-specific fine-tuning to align global AI capabilities with local educational needs.

Like Elon Musk, he was coding at 12 and became one of Google’s youngest ever CMOs—but now says Gen Z are better off ice skating than learning to code

Like Elon Musk and Mark Zuckerberg, Alon Chen coded his way to Google CMO and a seven-figure exit. Now he says AI has made the skill 'obsolete' for Gen Z

From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors

arXiv:2604.09634v1 Announce Type: new Abstract: Most AI literacy courses for non-technical undergraduates emphasize conceptual breadth over technical depth. This paper describes UNIV 182, a prerequisite-free course at George Mason University that teaches undergraduates across majors to understand, use, evaluate, and build AI systems. The course is organized around five mechanisms: (1) a unifying conceptual pipeline (problem definition, data, model selection, evaluation, reflection) traversed repeatedly at increasing sophistication; (2) concurrent integration of ethical reasoning with the technical progression; (3) AI Studios, structured in-class work sessions with documentation protocols and real-time critique; (4) a cumulative assessment portfolio in which each assignment builds competencies required by the next, culminating in a co-authored field experiment on chatbot reasoning and a final project in which teams build AI-enabled artifacts and defend them before external evaluators; and (5) a custom AI agent providing structured reinforcement outside class. The paper situates this design within a comparative taxonomy of cross-major AI literacy courses and pedagogical traditions. Instructor-coded analysis of student artifacts at four assessment stages documents a progression from descriptive, intuition-based reasoning to technically grounded design with integrated safeguards, reaching the Create level of Bloom's revised taxonomy. To support adoption, the paper identifies which mechanisms are separable, which require institutional infrastructure, and how the design adapts to settings ranging from general AI literacy to discipline-embedded offerings. The course is offered as a documented resource, demonstrating that technical depth and broad accessibility can coexist when scaffolding supports both.

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review

arXiv:2604.09590v1 Announce Type: new Abstract: Automated peer review is often framed as generating fluent critique, yet reviewers and area chairs need judgments they can \emph{audit}: where a concern applies, what evidence supports it, and what concrete follow-up is required. DeepReviewer~2.0 is a process-controlled agentic review system built around an output contract: it produces a \textbf{traceable review package} with anchored annotations, localized evidence, and executable follow-up actions, and it exports only after meeting minimum traceability and coverage budgets. Concretely, it first builds a manuscript-only claim--evidence--risk ledger and verification agenda, then performs agenda-driven retrieval and writes anchored critiques under an export gate. On 134 ICLR~2025 submissions under three fixed protocols, an \emph{un-finetuned 196B} model running DeepReviewer~2.0 outperforms Gemini-3.1-Pro-preview, improving strict major-issue coverage (37.26\% vs.\ 23.57\%) and winning 71.63\% of micro-averaged blind comparisons against a human review committee, while ranking first among automatic systems in our pool. We position DeepReviewer~2.0 as an assistive tool rather than a decision proxy, and note remaining gaps such as ethics-sensitive checks.

Q&A: MIT SHASS and the future of education in the age of AI

An exploration of how the School of Humanities, Arts, and Social Sciences at MIT is adapting educational frameworks to address the challenges and opportunities presented by AI.

Workers Want Training but Employers Don’t Always Deliver. Can Policy Help? - Indeed Hiring Lab

Workers Want Training but Employers Don’t Always Deliver. Can Policy Help? - Indeed Hiring Lab Share Share Speaker delivering a motivating training session to a group of diverse employees. # Workers Want Training but Employers Don’t Always Deliver. Can Policy Help? Workers across countries see skill development as essential but many feel employers consider it less of a priority. Recent evidence from Spain shows that incentivizing companies to offer permanent contracts can lead them to offer more training. By Carlos Victoria Lanzón& Jonas Jessen& Pawel Adrjan April 14, 2026 Key points: - Data - Workers worldwide say skills development is essential, but many also say they feel employers treat it as less

The Division of Understanding: Specialization and Democratic Accountability

arXiv:2604.09871v1 Announce Type: new Abstract: This paper studies how the organization of production shapes democratic accountability. I propose a model in which learning economies make specialization productively efficient: most workers perform one-domain tasks, while a small set of integrators with cross-domain knowledge keep the system coherent. When policy consequences run across domains, integrators understand them better than specialists. Electoral competition then tilts targeted services toward integrators' interests, while low aggregate system knowledge weakens governance and reduces the fraction of public resources converted into citizen-valued services. Labor markets leave these civic margins unpriced, failing to internalize the political returns to system knowledge. Broadening routine specialists can therefore raise welfare relative to the market allocation. The model speaks to debates on liberal art education and the effects of AI.

Explainability and Certification of AI-Generated Educational Assessments

arXiv:2604.09622v1 Announce Type: new Abstract: The rapid adoption of generative artificial intelligence (AI) in educational assessment has created new opportunities for scalable item creation, personalized feedback, and efficient formative evaluation. However, despite advances in taxonomy alignment and automated question generation, the absence of transparent, explainable, and certifiable mechanisms limits institutional and accreditation-level acceptance. This chapter proposes a comprehensive framework for explainability and certification of AI-generated assessment items, combining self-rationalization, attribution-based analysis, and post-hoc verification to produce interpretable cognitive-alignment evidence grounded in Bloom's and SOLO taxonomies. A structured certification metadata schema is introduced to capture provenance, alignment predictions, reviewer actions, and ethical indicators, enabling audit-ready documentation consistent with emerging governance requirements. A traffic-light certification workflow operationalizes these signals by distinguishing auto-certifiable items from those requiring human review or rejection. A proof-of-concept study on 500 AI-generated computer science questions demonstrates the framework's feasibility, showing improved transparency, reduced instructor workload, and enhanced auditability. The chapter concludes by outlining ethical implications, policy considerations, and directions for future research, positioning explainability and certification as essential components of trustworthy, accreditation-ready AI assessment systems.

Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation

arXiv:2604.09635v1 Announce Type: new Abstract: This study develops machine learning models to assess Media and Information Literacy (MIL) skills specifically in the context of disinformation among students, particularly future educators and communicators. While the digital revolution has expanded access to information, it has also amplified the spread of false and misleading content, making MIL essential for fostering critical thinking and responsible media engagement. Despite its relevance, predictive modeling of MIL in relation to disinformation remains underexplored. To address this gap, a quantitative study was conducted with 723 students in education and communication programs using a validated survey. Classification and regression algorithms were applied to predict MIL competencies and identify key influencing factors. Results show that complex models outperform simpler approaches, with variables such as academic year and prior training significantly improving prediction accuracy. These findings can inform the design of targeted educational interventions and personalized strategies to enhance students' ability to critically navigate and respond to disinformation in digital environments.

AI Explained: From Tokens to Intelligence — Class 101

They can call external tools search engines, calculators, databases, APIs, and incorporate the results into their output. This is how a model can tell you today’s weather, execute a code snippet, or query a live database. The model itself has not changed.

Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction

arXiv:2604.08931v1 Announce Type: new Abstract: Human cognitive development is shaped not only by individual effort but by structured social interaction, where role-based exchanges such as those between a tutor and a learner, enable solutions that neither could achieve alone. Inspired by these developmental principles, we ask the question whether a tutor-student multi-agent system can create a synergistic effect by pushing Large Language Model (LLM) beyond what it can do within existing frameworks. To test the idea, we adopt autonomous coding problem domain where two agents instantiated from the same LLM assigned asymmetric roles: a student agent generates and iteratively refines solutions, while a tutor agent provides structured evaluative feedback without access to ground-truth answers. In our proposed framework (PETITE), we aim to extract better problem-solving performance from one model by structuring its interaction through complementary roles, rather than relying on stronger supervisory models or heterogeneous ensembles. Our model is evaluated on the APPS coding benchmark against state-of-the-art approaches of Self-Consistency, Self-Refine, Multi-Agent Debate, and Multi-Agent Review. The results show that our model achieves similar or higher accuracy while consuming significantly fewer tokens. These results suggest that developmentally grounded role-differentiated interaction structures provide a principled and resource-efficient paradigm for enhancing LLM problem-solving through structured peer-like interactions. Index Terms- Peer Tutoring, Scaffolding, Large Language Models, Multi-Agent Systems, Code Generation

China wants AI to prepare school lessons and mark homework

PLUS: Toyota wheels out basketball bot; Arm scores AI server win with SK Telecom; India ponders payment pauses to foil fraudsters; And more! Asia In Brief China’s National Data Administration last Friday published its action plan for AI in education which calls for upskilling of the nation’s citizens to ensure they can put the technology to work.…

The rise of AI and why governments globally are stepping in to support Gen Z in the job market - TNGlobal

The rise of AI and why governments globally are stepping in to support Gen Z in the job market - TNGlobal ## The rise of AI and why governments globally are stepping in to support Gen Z in the job market April 13, 2026• AI, Future of Work, Opinion, TNGlobal Insider• There is a widespread belief that Gen Z is somehow ill-equipped for the modern workplace: unambitious, disengaged, unwilling to put in the hours. It’s an easy headline, but it is the wrong conclusion to draw. The reality is far more nuanced. Gen Z is hard-working, entrepreneurial, and represents the future of the global workforce and economy. What they are facing is not a lack of motivation, but a fundamentally di

Towards Generalizable Representations of Mathematical Strategies

arXiv:2604.08693v1 Announce Type: new Abstract: Pretrained encoders for mathematical texts have achieved significant improvements on various tasks such as formula classification and information retrieval. Yet they remain limited in representing and capturing student strategies for entire solution pathways. Previously, this has been accomplished either through labor-intensive manual labeling, which does not scale, or by learning representations tied to platform-specific actions, which limits generalizability. In this work, we present a novel approach for learning problem-invariant representations of entire algebraic solution pathways. We first construct transition embeddings by computing vector differences between consecutive algebraic states encoded by high-capacity pretrained models, emphasizing transformations rather than problem-specific features. Sequence-level embeddings are then learned via SimCSE, using contrastive objectives to position semantically similar solution pathways close in embedding space while separating dissimilar strategies. We evaluate these embeddings through multiple tasks, including multi-label action classification, solution efficiency prediction, and sequence reconstruction, and demonstrate their capacity to encode meaningful strategy information. Furthermore, we derive embedding-based measures of strategy uniqueness, diversity, and conformity that correlate with both short-term and distal learning outcomes, providing scalable proxies for mathematical creativity and divergent thinking. This approach facilitates platform-agnostic and cross-problem analyses of student problem-solving behaviors, demonstrating the effectiveness of transition-based sequence embeddings for educational data mining and automated assessment.

The hottest college major hit a wall. What happened?

Computer science majors are disappearing. Is AI to blame? - The Washington Post Democracy Dies in Darkness Column by Shira Ovide and Shira is eager to hear from college students and their families about how you’re feeling about the job market. Drop her a line at shira.ovide@washpost.com. A lot of students took the advice to learn to code. Since the Great Recession left technology as a rare spot of optimism in American industry, computer science has been among the fastest-growing college majors in the country, according to indispensable degree data from the National Center for Education Statistics.

New Pearson and AWS Global Research: 53% of Employers Struggle to Find AI-Ready Graduates

/PRNewswire/ -- Pearson (FTSE: PSON.L), the world's lifelong learning company, and Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN),...

AI readiness gap is slowing productivity gains - HR Brew

AI readiness gap is slowing productivity gains April 13, 2026 • less than 3 min read Imagine if NASA built a rocket ship, laid out a plan to go to the moon, but didn’t train the astronauts on how to crew the new vessel. NASA would never. In fact, the Artemis II crew trained for three years in a replica Orion capsule practicing real-world (pun intended) scenarios in order to master the tech they’d be using away from Earth. The crew sometimes spent more than 30 hours at a time training ahead of its mission, which safely splashed down in the Pacific Ocean Friday. Compare that to your department’s last AI training session. A gap in AI readiness is impacting AI’s potential gains across industries, according to a new report from study.com on the

Robot-Proof — can the next generation keep a step ahead of the machines?

Vivienne Ming argues for a change in how we prepare the young for a near-future dominated and ‘deprofessionalised’ by AI

Recent Grads Say AI Is Making It Impossible to Find a Job - Futurism

Recent Grads Say AI Is Making It Impossible to Find a Job Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images ## Sign up to see the future, today Can’t-miss innovations from the bleeding edge of science and tech Sign Up Thank you! As debate rages over whether AI’s effects on the job market are real or illusory, one thing is clear: recent college grads are entering a labor force that has no room for them regardless. In a poll conducted by Gallup over the final three months of 2025, a whopping 72 percent of respondents said it was a “bad time” to find a quality job. From December of last year to March, the [labor force participation rate fell](https://fred.stlouisfed.org/release/tables?rid=50&ei

An illustrated guide to resisting "AI is inevitable" in education

An illustrated guide to resisting "AI is inevitable" in education SubscribeSign in # An illustrated guide to resisting "AI is inevitable" in education ### Enough, enough, enough Apr 13, 2026 56 1 14 Share ### 1. Ask the AI-in-education enthusiast to clarify their premise. (Slide created by Jane Rosenzweig, Director of Harvard College Writing Center) ### 2. Ask the AI-in-education enthusiast if they are familiar with recent research indicating that generative AI leads to widespread “cognitive surrender.” Shot: “Conceptually distinct from cognitive offloading, which involves strategically outsourcing a discrete task to an external tool (e.g., using a calculator), cognitive surrender represents a deeper abdication of critical evaluation, where the user relinquishes cognitive control and adopts the AI’s judgment as their own…. Across our studies, we observe that when System 3 [

The System Works. That’s the Problem. Les Misérables AI Warning: What Hugo Saw Coming

A designer uses AI to generate work faster than her rate allows. A student uses it to complete assignments he doesn’t fully understand.

The AI revolution threatens office jobs, but revives demand for skilled trades | 930 WFMD Free Talk

AI threatens white-collar jobs more than blue-collar trades, highlighting an urgent need to realign education with workforce demands in America.

I had read your paper as the opposite - more senior operators were unable to find jobs after automation, and younger workers found other work. Is that incorrect?

I had read your paper as the opposite - more senior operators were unable to find jobs after automation, and younger workers found other work. Is that incorrect?

🔮 Exponential View #569: When the future is uncertain, what do you teach?

On education & AI, Mythos, GLP-1s++

Google Engineer Uses AI to Sue Universities

A Google engineer is using AI to sue universities for racial discrimination.

Agap Ai And The Philippines Education Led | Asian Intelligence

Agap Ai And The Philippines Education Led | Asian Intelligence Skip to main content Quick Take ## What this page helps answer A source-first analysis of AGAP.AI and the Philippines’ education-led AI capacity strategy, focused on literacy, workforce formation, and public-sector. Who, How, Why Who Asian Intelligence Editorial Team How Prepared from cited public sources and reviewed against the site’s editorial standards. Why To give readers sourced context on AI policy, company strategy, and technology development in Asia. Region Asia Topic AI policy, company strategy, and technology development 3 min read Published by Asian Intelligence Editorial Team Published Apr 11, 2026 Updated Apr 11, 2026 Editorial team [Editorial standards](https://

CARRERA UNIVERSIDAD | Un estudio del Deutsche Bank afirma que el título universitario “ya no es garantía de éxito laboral” tras la irrupción de la IA

CARRERA UNIVERSIDAD | Un estudio del Deutsche Bank afirma que el título universitario “ya no es garantía de éxito laboral” tras la irrupción de la IA Saltar al contenido principalSaltar al pie de página Imagen de archivo de alumnos universitarios realizando un examen. / EP Madrid11 ABR 2026 6:00 Actualizada 11 ABR 2026 6:00 El mercado de trabajo ya no volverá a ser el mismo tras la irrupción definitiva de la inteligencia artificial generativa. Un reciente informe de Deutsche Bank advierte de que la IA ha dejado de ser una habilidad complementaria para convertirse en un requisito excluyente en los sectores más dinámicos de la economía. Esta transformación está generando una paradoja preocupante. Y es que, a pesar de la formación superior, los [jóvenes graduados](https://www.elperiodicomediterraneo.com/tags/unive

From Core to Periphery? Assessing Remote Works Potential to Rebalance EU Regional Development

arXiv:2604.08252v1 Announce Type: new Abstract: The rapid expansion of remote work following the last pandemic has renewed interest in whether spatial decoupling of residence from workplace can contribute to rebalancing regional development across the European Union. This paper examines four interrelated dimensions of remote work-induced residential mobility using the R-MAP survey dataset, a large-scale cross-sectional survey of over 7,400 remote workers across Europe collected in 2024. First, the spatial direction of post-2020 relocations is analysed, revealing that mobility occurs overwhelmingly within the same urbanisation tier, with urban-to-urban moves accounting for 67% of all relocations. Counter-urban flows to- ward rural areas remain marginal at just 2% of moves, though their relative demograph- ic impact on small rural populations is non-trivial. Second, the motivational structure of relocation decisions is examined, showing that quality-of-life considerations dominate (cited by 78% of movers), followed by economic and housing factors (70%), while digital infrastructure ranks among the least cited reasons. Third, amenity preferences are compared across residential contexts, documenting striking convergence between urban and rural remote workers, with statistically significant differences emerging only for public transport and restaurant access. Fourth, logistic regression models reveal that remote work intensity is a consistent positive predictor of relocation probability, with a transition from 50% to fully remote work associated with a 6.5 percentage point in- crease in relocation likelihood. Age, education, and industry sector also shape mobility patterns. Overall, the findings suggest that remote work primarily stretches metropolitan systems and reinforces peri-urban zones rather than triggering large-scale redistribution toward structurally weaker peripheral regions.

Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships

arXiv:2604.07601v1 Announce Type: new Abstract: Enabling AI literacy in the general population at scale is a complex challenge requiring multiple stakeholders and institutions collaborating together. Industry and technology companies are important actors with respect to AI, and as a field, we have the opportunity to consider how researchers and companies might be partners toward shared goals. In this symposium, we focus on a collection of partnership projects that all involve Google and all address AI literacy as a comparative set of examples. Through a combination of presentations, commentary, and moderated group discussion, the session, we will identify (1) at what points in the life cycle do research, practice, and industry partnerships clearly intersect; (2) what factors and histories shape the directional focus of the partnerships; and (3) where there may be future opportunities for new configurations of partnership that are jointly beneficial to all parties.

PRISM: Evaluating a Rule-Based, Scenario-Driven Social Media Privacy Education Program for Young Autistic Adults

arXiv:2604.07531v1 Announce Type: new Abstract: Young autistic adults may garner benefits through social media but also disproportionately experience privacy harms. Prior research found that these harms often stem from perceiving the affordances of social media differently than the general population, leading to unintentional risky behaviors and interactions with others. While educational interventions have been shown to increase social media privacy literacy for the general population, research has yet to focus on effective educational interventions for autistic young adults. We address this gap by developing and deploying Privacy Rules for Inclusive Social Media (PRISM), a classroom-based educational intervention tailored to the unique risks and neurodevelopmental differences of this population. Twenty-nine autistic students with substantial (level 2) support needs participated in a 14-week social media privacy literacy class. During these classes, participants often communicated their existing rule-based "all or nothing" approaches to privacy management (such as completely disengaging from social media to avoid privacy issues). Our course focused on empowering them by providing more nuanced guidance on safe privacy practices through the use of scenario-based formats and contextual, rule-based scenarios. Using pre- and post-knowledge assessments for each of our 6 course topics, our intervention led to a statistically significant increase in their making safer social media privacy decisions. We conclude with recommendations for how privacy educators and technology designers can leverage neuro-affirming educational interventions to increase privacy literacy for autistic social media users.

The role of humans in an AI world - by Leslie D'Monte

The role of humans in an AI world - by Leslie D'Monte # Mint Tech & AI SubscribeSign in # The role of humans in an AI world ### Two new reports outline how humans can meaningfully stay relevant in an AI world. Apr 10, 2026 17 Share AI systems today can finish in minutes what would take humans months. That’s not just acceleration but a shift toward capabilities that could surpass even the smartest humans, with or without AI assistance. Some call this “super-intelligence”. This month, two reports—one from OpenAI and another from the Center for Humane Technology (CHT)—outline how to keep humans from being sidelined in this speedy race by meaningfully keeping them in the loop. In today’s edition of Mint Tech Talk: OpenAI’s blueprint for sharing AI dividends Some hard truths about AI’s race Google Gemma 4’s open challenge AI Tool of the Week: Google Vids Anthropic’s Mythos, Gla

擔心被AI取代 美國47%大學生「認真考慮」換主修 六分之一付諸實行 | 鉅亨網 - 美股雷達

擔心被AI取代 美國47%大學生「認真考慮」換主修 六分之一付諸實行 | 鉅亨網 - 美股雷達 美股 # 擔心被AI取代 美國47%大學生「認真考慮」換主修 六分之一付諸實行 鉅亨網編譯許家華2026-04-10 12:00 一項最新調查顯示，人工智慧 (AI) 正深刻影響大學生對未來職涯的規劃。由 Lumina 基金會和蓋洛普共同發布的《2026 年高等教育現況報告》指出，約 47% 的美國大學生曾「認真考慮」因 AI 影響而轉換主修領域，顯示 AI 已成為影響學習選擇的重要因素。 （圖：Shutterstock) 該調查於 2025 年 10 月進行，針對 3801 名年齡介於 18 至 59 歲、就讀學士或副學士學位的美國學生進行線上訪問。結果顯示，約六分之一學生已實際因 AI 改變主修，其中 13% 的學士生與 19% 的副學士生表示已經轉換科系。 若進一步觀察考慮轉換的比例，整體學生中有 47% 表示曾至少「相當程度」思考更換主修，其中學士生為 42%，副學士生則高達 56%，顯示後者對就業市場變化更為敏感。 據 Lumina 基金會影響力與規劃副總裁 Courtney Brown 博士指出，AI 正改變學生「思考未來的方式」，許多人在媒體報導影響下，擔憂 AI 將取代大量工作，進而質疑投入時間與金錢取得學位是否值得。 調查顯示，學生轉換主修的首要原因在於對未來就業機會的不確定性。學生普遍關心「哪個科系能確保畢業後找到工作」，而副學士生轉換比例較高，可能與其課程更直接對應當前勞動市場需求有關。 然而，無論是學士或副學士學生，都面臨相同困境，即難以判斷哪些科系在 AI 時代仍具「長期價值」。在科技與技職領域中，分別有 27% 與 17% 的學生表示曾高度考慮轉換主修，但同時這些領域也是學生轉入的熱門選擇，反映出對未來方向的不確定與矛盾心理。 除了影響科系選擇，AI 也成為學生決定是否進入高等教育的重要因素。約七分之一學生表示，為因應科技進步 (包括 AI) 是其就讀大學的主要原因之一，另有 12% 則因擔心 AI 對就業市場的衝擊而選擇升學

What Do Employers Mean by “AI Skills,” Anyway? (opinion)

Across the board, students wondered, ... with labor and resources.” · But in practical terms, coupled with a fear of missing out or not having a competitive edge in the job market, students expressed confusion over what skills they really need. As one student reported, “I am having a hard time finding concrete information regarding what employers mean by ‘AI skills.’ ...

Human-AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-Regulation

Generative AI (GenAI) is increasingly used in collaborative learning, yet its effects on how groups regulate collaboration remain unclear. Effective collaboration depends not only on what groups discuss, but on how they jointly manage goals, participation, strategy use, monitoring, and repair through co-regulation and socially shared regulation. We compared collaborative regulation between Human-AI and Human-Human groups in a parallel-group randomised experiment with 71 university students compl...

How are software engineering graduates adjusting to AI?

BearingPoint’s Karl Byrne, Holly Daly and Fiona Eguare discuss the effects of AI on software engineering and how it has affected graduates in particular. Read more: How are software engineering graduates adjusting to AI?

Half of Gen Z Uses AI, but Their Feelings Are Souring, Study Shows

A new study from Gallup found that young adults have grown less hopeful and more angry about artificial intelligence.

Knowledge Markers: An AI-Agnostic Concept for the Design of Programming Courses

arXiv:2604.06331v1 Announce Type: new Abstract: Generative AI enables students to produce plausible code quickly. Producing working code is therefore no longer a reliable indicator of understanding. This is particularly problematic in non-computer-science programmes, where time constraints make it hard to balance conceptual foundations with sufficient application practice. Empirical studies of AI tutors, educational chatbots, and code-assistance systems report useful but often case-specific findings, while learning theory remains too abstract to directly guide course design. As a result, instructors lack a simple, reusable way to make learning intent explicit and translate it into concrete teaching structures and student learning behaviour. This paper contributes knowledge markers as a lightweight, AI-agnostic, course-level operationalisation for course design. The markers label learning units by their primary emphasis: (A) Application knowledge (implementation), (S) Structure knowledge (concepts and mental models), or (P) Procedure knowledge (systematic methods, decision making, and verification). We show how the labels can be embedded at fine granularity in open teaching artifacts (interactive website, PDF script, and notebooks), paired with communication elements and optional AI-usage guidance. We demonstrate the approach by analysing, redesigning, and descriptively evaluating an introductory programming course using marker distributions derived from the table of contents. The paper is design- and artifact-oriented and does not claim measured learning gains; empirical evaluation is future work.

ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning

arXiv:2604.06401v1 Announce Type: new Abstract: The large language models (LLMs) might produce a persuasive argument within mathematical and logical fields, although such argument often includes some minor missteps, including the entire omission of side conditions, invalid inference patterns, or appeals to a lemma that cannot be derived logically out of the context being discussed. These omissions are infamously hard to notice solely out of the text, as even the misconstrued construction still may seem mostly accurate. Conversely, interactive theorem provers like Lean and Coq have rigorous reliability by ensuring that syntactic and semantic statements only accept statements that can pass all the syntactic and semantic steps in the program which is a small trusted kernel of the language type-checks with. Despite the fact that this technique provides strong guarantees, it comes at quite a heavy price: the evidence must be completely formalized, and the evidence user or a auxiliary search program must provide an avalanche of low-level information. This paper presents a hybrid pipeline where an LLM generates a typed proof sketch in a compact DSL and a lightweight trusted kernel expands the sketch into explicit proof obligations.

A philosophy of work

A new perspective on the evolving nature of work and its philosophical implications in the modern era.

Entrepreneurship as solution to Nigeria’s job market crisis

To bridge the skills gap effectively, we should look to something like the Industrial Training Fund (ITF) model, which provides work experience with ongoing education for students attached to industries and also encourages employers to regularly train their employees to acquire skills. This ITF system compensates industries that train their staff through refunds and tax benefits. The economy ...

Slow AI Curriculum Q1 2026: What Scholars Discovered About AI Bias, Empathy, and Security

Slow AI Curriculum Q1 2026: What Scholars Discovered About AI Bias, Empathy, and Security # Slow AI SubscribeSign in The Slow AI Curriculum # Quarterly Reflective Check-in: January to March 2026 ### Three months of the Slow AI Curriculum have passed. Here is what the cohort found, what surprised me, and what is coming next. Apr 09, 2026 ∙ Paid 40 23 4 Share The cohort taught me more than the curriculum did. Three sessions. Bias, empathy, security. Three prompts, three sets of results that none of us fully anticipated. What follows is not a summary. It is a reflection on what happened when a global cohort of scholars tested these ideas against their own tools, their own assumptions, and each other. #### In this post I will: Walk through the three sessions and what the cohort

With AI Set to Destroy Millions of Indian Jobs, Traditional Career Advice is a Death Trap - Sify

AI to Destroy Millions of Indian Jobs, Traditional Career Advice is a Death Trap

Tech Skills Platform Startup Flashpass Raises $4.1M in Seed Funding to Address 'AI Doomerism'

Flashpass, a workforce training platform focused on building "an antidote to AI doomerism and labor displacement," announced it has raised $4.1 million in an oversubscribed seed round as it looks to expand its offerings and scale adoption across government and education programs.

Closing the growing skills gap caused by AI

Closing the growing skills gap caused by AI - About HR Executive - Advertise with us - Awards - Privacy Policy Search type here... SEARCH # When employees become tools of the tool: AI’s risk to employee development Emerging HR Tech Guest viewpoints HR Technology Date: April 9, 2026 Share post: (Image: Adobe) Chris Tatarka, Ph.D., is a leadership trainer, organizational development consultant and adjunct faculty member. With more than 35 years of military and federal service, he speciali

Are LLMs Ready for Computer Science Education? A Cross-Domain, Cross-Lingual and Cognitive-Level Evaluation Using Professional Certification Exams

arXiv:2604.06898v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied in computer science education for tasks such as tutoring, content generation, and code assessment. However, systematic evaluations aligned with formal curricula and certification standards remain limited. This study benchmarked four recent models, including GPT-5, DeepSeek-R1, Qwen-Plus, and Llama-3.3-70B-Instruct, using a dataset of 1,068 questions derived from six certification exams covering networking, office applications, and Java programming. We evaluated performance across language (Chinese vs. English), cognitive levels based on Bloom's Taxonomy, domain knowledge, confidence-accuracy alignment, and robustness to input masking. Results showed that GPT-5 performed best on English-language certifications, while Qwen-Plus performed better in Chinese contexts. DeepSeek-R1 achieved the most balanced cross-lingual performance, whereas Llama-3.3 showed clear limitations in higher-order reasoning and robustness. All models performed worse on more complex tasks. These findings provide empirical support for the integration of LLMs into computer science education and offer practical implications for curriculum design and assessment.

Better Balance in Informatics 2.0: The First-Year Students

arXiv:2604.06731v1 Announce Type: new Abstract: Diversity among computer scientists and technologists is necessary for the sustainable development of society through technological innovation. At UiT The Arctic University of Norway, only 13% of computer science students are women. Many find the learning curve in introductory computer science courses to be very steep, and thus, they drop out. Female students tend to be overrepresented in this group. The goal of this project was to improve the gender balance among computer science students at UiT by focusing on female first-year students and ensuring that they do not drop out of the study programs in the first year of study. The project established a seminar series for strengthening the basic programming-technical skills that many first-year students lack, and exposing them to different aspects and career paths within the computer science subject beyond the focus area of the study program. Results show positive developments, particularly related to the students' perceived introduction to basic technical topics. A comparison between 2024 and 2025 shows improvements in several of the areas addressed in the technical workshops, including use of file systems, terminals, debugging and the code development process. However, effects on dropout and study experience require more long-term measures.

Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning

arXiv:2604.06200v1 Announce Type: new Abstract: Designing project-based learning (PBL) demands managing highly interdependent components, a task that both traditional linear tools and purely conversational AI struggle with. Traditional tools fail to capture the non-linear nature of creative design, while conversational systems lack the persistent, shared context necessary for reflective collaboration. Grounded in theories of distributed cognition, we introduce CoMAP, a system that embodies a graph-based collaboration paradigm. By providing a shared visual workspace with dual-modality AI support, CoMAP transforms the human-AI relationship from a prompt-and-response loop into a transparent and equitable partnership. Our study with 30 educators shows CoMAP significantly improves teachers' design expression, divergent thinking, and iterative practice compared to a dialogue-only baseline. These findings demonstrate how a nonlinear, artifact-centric approach can foster trust, reduce cognitive load, and \textcolor{fix}{support} educators to take control of their creative process. Our contributions are available at: https://comap2025.github.io/.

Lilah Kole - The AI Collective | LinkedIn

We’re now in the 3D content creation phase of our spatial computing ( AI + creativity) program with Boys & Girls Club Chicago (course runs for 6 weeks). One of the things I love most about this work is introducing students to powerful new tools—like the one I discovered this morning.

Why teaching resists automation in an AI-inundated era: Human judgment, non-modular work, and the limits of delegation

Debates about artificial intelligence (AI) in education often portray teaching as a modular and procedural job that can increasingly be automated or delegated to technology. This brief communication paper argues that such claims depend on treating teaching as more separable than it is in practice. Drawing on recent literature and empirical studies of large language models and retrieval-augmented generation systems, I argue that although AI can support some bounded functions, instructional work r...

Parents say NYC schools’ AI policy leaves out what matters most: students - Epicenter NYC

Late last month, the city released its initial guidance on the use of artificial intelligence (AI) in schools and asked for public feedback by May 8. The response from students, […]

XR-CareerAssist: An Immersive Platform for Personalised Career Guidance Leveraging Extended Reality and Multimodal AI

Conventional career guidance platforms rely on static, text-driven interfaces that struggle to engage users or deliver personalised, evidence-based insights. Although Computer-Assisted Career Guidance Systems have evolved since the 1960s, they remain limited in interactivity and pay little attention to the narrative dimensions of career development. We introduce XR-CareerAssist, a platform that unifies Extended Reality (XR) with several Artificial Intelligence (AI) modules to deliver immersive, ...

Adobe Unveils AI Study Tool

Adobe has unveiled Acrobat Spaces, a free AI-powered tool within Acrobat, aimed at revolutionizing study methods by transforming PDFs, links, and notes into interactive learning materials.

What an awesome way to start my AI Awakening class at Stanford! The legendary @FutureJurvetson has a knack for seeing around corners thanks to his deep technical knowledge. I can't wait to see the projects the students deliver in 10 weeks.

What an awesome way to start my AI Awakening class at Stanford! The legendary @FutureJurvetson has a knack for seeing around corners thanks to his deep technical knowledge. I can't wait to see the projects the students deliver in 10 weeks.

The 2026 AI Skills Gap: Turning Training into Workforce ...

The 2026 AI Skills Gap: Turning Training into Workforce Power - Email : ask@usaii.org # The 2026 AI Skills Gap: Turning Training into Workforce Power Apr 07, 2026 The inclusion of artificial intelligence in the daily activities of businesses is becoming a necessity, but most companies are finding that the implementation of AI does not necessarily equate to the actual ability of the organization to operate the workforce. Businesses are still putting funds into training programs and workshops, yet the anticipated business contribution is usually minimal. The EY Survey, 2026, states that 88% of organizations use AI in the workplace, but only 28% have managed to empower employees to utilize AI to revoluti

AI Research Is Getting Harder to Separate From Geopolitics - MaharlikaNews | Canada’s Leading Online Filipino Newspaper – No. 1 Information Hub for Filipino-Canadians with 250K Visitors in 2020

A policy change announced by NeurIPS, the world’s leading AI research conference, drew widespread backlash from Chinese researchers this week and then was quickly reversed. ... The world’s top AI research conference, the Conference on Neural Information Processing Systems—better known as NeurIPS—became the latest organization this week to become embroiled in a growing clash between geopolitics ...

Forrester finds AI training gap stalls workplace gains

Forrester says workplace AI rollouts are outpacing staff training, with only 16% of employees reaching high readiness in 2025.

AI reshapes which workers gain and lose in job market

WashU survey research finds workers who adopt AI as a learning and skill-building tool increase effort and may see long-term career and earnings advantages.

How to accelerate AI transformation

How to accelerate AI transformation | MIT Sloan As organizations deploy artificial intelligence more widely, routine tasks are being automated, and some work is shifting from people to AI systems. Yet, many firms are finding that the returns on their investments in such systems are elusive. The problem is not adoption of the technology alone but how organizations adapt the way they work to use it, according to MIT Sloan School of Management visiting senior lecturer Paul McDonagh-Smith. AI at WorkResearch and insights powering the intersection of AI and business, delivered monthly. Yes, I’d also like to subscribe to the Thinking Forward newsletter Email Leave this field blank “There is an interdependency between three elements: the work itself, the workforce, and the workplace,” he said. “If organizations fail to align these three elements, it becomes difficult to generate measurab

A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems

arXiv:2604.05160v1 Announce Type: new Abstract: Students benefit from math problems contextualized to their interests. Large language models (LLMs) offer promise for efficient personalization at scale. However, LLM-generated personalized problems may often have problems such as unrealistic quantities and contexts, poor readability, limited authenticity with respect to students' experiences, and occasional mathematical inconsistencies. To alleviate these problems, we propose a multi-agent framework that formalizes personalization as an iterative generate--validate--revise process; we use four specialized validator agents targeting the criteria of solvability, realism, readability, and authenticity, respectively. We evaluate our framework on 600 problems drawn from a popular online mathematics homework platform, ASSISTments, personalizing each problem to a fixed set of 20 student interest topics. We compare three refinement strategies that differ in how validation feedback is coordinated into revisions. Results show that authenticity and realism are the most frequent failure modes in initial LLM-personalized problems, but that a single refinement iteration substantially reduces these failures. We further find that different refinement strategies have different strengths on different criteria. We also assess validator reliability via human evaluation. Results show that reliability is highest on realism and lowest on authenticity, highlighting the need for better evaluation protocols that consider teachers' and students' personal characteristics.

The Skill AI Destroys First is the One You Need Most

The Skill AI Destroys First is the One You Need Most # The Experimental Marketer Newsletter SubscribeSign in # The Skill AI Destroys First is the One You Need Most ### Or Why Marketers Can't Afford to Loose Critical Thinking to AI Apr 08, 2026 1 1 Share This week I blended the research surfaced by Professor Dr. Sam Illingworth about AI and its possible impact on cognition, along with federal government AI literacy guidance, the IEEE's Ethically Aligned Design framework, my own proprietary framework and more! Then I define what all this means to marketers who have been using AI models from chat windows to features embedded into their marketing technology platforms. Finally, I put a list of actions marketers (or anybody, actually) can take right now to ensure AI usage without cognition decrease. I hope you enjoy this read. As always, just reply to this email message and let me kn

EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content

arXiv:2604.05005v1 Announce Type: new Abstract: Large language models are increasingly used as educational assistants, yet evaluation of their educational capabilities remains concentrated on question-answering and tutoring tasks. A critical gap exists for multimedia instructional content generation -- the ability to produce coherent, diagram-rich explanations that combine geometrically accurate visuals with step-by-step reasoning. We present EduIllustrate, a benchmark for evaluating LLMs on interleaved text-diagram explanation generation for K-12 STEM problems. The benchmark comprises 230 problems spanning five subjects and three grade levels, a standardized generation protocol with sequential anchoring to enforce cross-diagram visual consistency, and an 8-dimension evaluation rubric grounded in multimedia learning theory covering both text and visual quality. Evaluation of ten LLMs reveals a wide performance spread: Gemini 3.0 Pro Preview leads at 87.8\%, while Kimi-K2.5 achieves the best cost-efficiency (80.8\% at \\$0.12/problem). Workflow ablation confirms sequential anchoring improves Visual Consistency by 13\% at 94\% lower cost. Human evaluation with 20 expert raters validates LLM-as-judge reliability for objective dimensions ($\rho \geq 0.83$) while revealing limitations on subjective visual assessment.

AI-Augmented Peer Review and Scientific Productivity: A Cross-Country Panel and SEM Analysis

This study empirically investigates the impact of AI-augmented peer review systems on scientific productivity using panel data from OECD countries. While prior research has highlighted inefficiencies in traditional peer review, little empirical work has quantified the systemic impact of AI integration at the national level. We construct a novel AI Review Capability Index (AIRC) and examine its effects on research productivity, reproducibility, and innovation output.

AI Reshapes College Studies

A new study by San Diego State University finds that AI is changing the way college students study, with varying levels of adoption and attitudes towards AI among students, faculty, and staff.

AI Reshapes College Studies

California college students vary when it comes to how they're using and thinking about AI in their academics, personal lives and future careers, according to a massive new San Diego State University study.

Microsoft to invest $5.5bn in Singapore, boosting AI skills and workforce readiness, ETCIO

Microsoft is injecting $5.5 billion into Singapore by 2029, bolstering AI infrastructure and workforce readiness. Over 200,000 students will gain free AI tools, while educators and non-profit leaders receive training. This significant investment aims to embed AI literacy nationwide, aligning ...

The Workers Opting to Retire Instead of Taking On AI

Their careers spanned the personal computing, internet and smartphone waves. But some older workers see AI’s arrival as the cue to exit.

OpenAI encourages firms to trial four-day weeks to adapt to AI era

The ChatGPT-maker said its early policy ideas aim to prompt discussions about action needed as AI systems become more capable.

Behavior is the New Credential

An argument that professional evaluation is shifting away from traditional degrees toward demonstrated behavioral patterns and skills.

I just became CEO of one of education’s Big 3. Here’s why AI will never replace a great teacher

From Microsoft to Amazon to Google, I've watched tech hype cycles up close. The classroom is where AI finally meets its match—and that's a thrill.

How AI Identifies Skill Gaps and Accelerates Workforce Reskilling

Learn how AI skill gap analysis and AI skills intelligence enable targeted workforce reskilling and reduce reliance on external hiring.

From Coaching Marketplace to AI Training Ground: Leland Launches Its Fastest-Growing Product Ever

Leland (Lehi, UT) has launched its AI Builder Program, a five-level course teaching professionals to build AI automations and agents. Already its fastest-growing product, the program is drawing strong demand from individual learners and enterprise clients alike.

Cybersecurity and AI grants are set to reach 100,000 people worldwide

France and Mexico join the program as nonprofit partners deliver hands-on training, mentoring and job support tied to cybersecurity and AI careers.

NSF and Labor Department launch $224M AI workforce hubs | ETIH EdTech News — EdTech Innovation Hub

NSF and Labor Department launch $224M AI workforce hubs | ETIH EdTech News — EdTech Innovation Hub # NSF and US Labor Department back AI-ready America with up to $224M for state hubs 8 Apr #### Federal partnership ties AI literacy, workforce training, and public deployment support into a national program built around state-level coordination. The US National Science Foundation (NSF) and the US Department of Labor have announced a formal partnership to support AI workforce readiness, alongside a funding plan of up to $224 million to establish coordination hubs across all US states and territories. The initiative, TechAccess: AI-Ready America, is structured to expand access to AI tools, infrastructure, and training, with a focus on workforce development, education pathways, and regional delivery. NSF said th

The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research

arXiv:2604.03338v1 Announce Type: new Abstract: Autonomous AI systems can now generate complete economics research papers, but they substantially underperform human-authored publications in head-to-head comparisons. This paper decomposes the quality gap into two independent components: research idea quality and execution quality. Using a two-model ensemble of fine-tuned language models trained on publication decisions (Gong, Li, and Zhou, 2026) to evaluate idea quality and a comprehensive six-dimension rubric assessed by Gemini 3.1 Flash Lite -- the same model family used as the APE tournament judge, ensuring methodological consistency -- to evaluate execution quality, we analyze 953 economics papers -- 912 AI-generated papers from the APE project and 41 human papers published in the American Economic Review and AEJ: Economic Policy. The idea quality gap is large (Cohen's d = 2.23, p < 0.001), with human papers achieving 47.1% mean ensemble exceptional probability versus 16.5% for AI. The execution quality gap is also significant but smaller (d = 0.90, p < 0.001), with human papers scoring 4.38/5.0 versus 3.84. Idea quality accounts for approximately 71% of the overall quality difference, with execution contributing 29%. The largest execution weakness is mechanism analysis depth (d = 1.43); no significant difference is found on robustness. We document that 74% of AI papers employ difference-in-differences, and only 7 AI papers (0.8%) surpass the median human paper on both idea and execution quality simultaneously. The primary bottleneck to competitive AI-generated economics research remains ideation.

Internet-Mediated Digital Informal Learning Portfolios in STEM Higher Education: A Computational Grounded Theory Study of Online Peer Advice Communities

arXiv:2604.03643v1 Announce Type: new Abstract: Internet technologies have expanded higher education students' access to learning resources, peer guidance, and skill-development opportunities beyond formal curricula. Yet the ways students assemble these distributed online resources into coherent learning pathways remain insufficiently understood. This study examines how STEM students construct digital informal learning portfolios through internet-mediated peer advice and platform use. Drawing on Social Cognitive Career Theory (SCCT) and informal learning frameworks, we analyze 3,607 peer advice posts from a large online student community using Computational Grounded Theory (CGT). Results show that career pathway (69.6% of coded documents) and career orientation (59.7%) are the dominant organizing dimensions, yielding three distinct digital informal learning portfolios: a graduate-study portfolio centered on competition training, mathematical foundations, and staged preparation; an industry-employment portfolio centered on self-directed skill building, online platform learning, and strategically timed internships; and a public-sector portfolio characterized by dual-track hedging across graduate study, enterprise employment, and public-sector preparation pathways. The online peer community itself functions as a distributed informal curriculum, collectively producing and transmitting pathway-specific guidance about what to learn, when to learn it, and which internet resources to prioritize. These findings extend SCCT into the domain of internet-mediated digital informal learning and introduce career front-loading as a pattern of early learning reorganization. Implications are discussed for institutional learning support, recognition of internet-enabled learning, and the design of digital guidance infrastructures in higher education.

Systematic Review of Academic Procrastination Interventions in Computing Higher Education

arXiv:2604.03248v1 Announce Type: new Abstract: Academic procrastination is a persistent challenge in computing education, yet evidence on the effectiveness of course-level interventions remains fragmented across diverse designs and contexts. We present a systematic literature review of studies published in the past decade that empirically examine interventions to reduce academic procrastination among post-secondary computing students. Evidence from 19 articles examines interventions that target procrastination through structural, feedback-based, motivational, and self-regulatory mechanisms. Our findings suggest that interventions introducing clear temporal structure consistently promote earlier starts and more distributed work, which act as key mediators of performance gains. The magnitude of these gains depends strongly on task structure, with greater benefits for long-horizon, multi-step assignments than for short, routine tasks. Moreover, supportive designs reliably outperform punitive or restrictive schemes, while uniform interventions yield uneven benefits across students. This review highlights the importance of designing structured, supportive, and personalized interventions to address procrastination in computing education.

Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing

arXiv:2604.03356v1 Announce Type: new Abstract: Artificial intelligence (AI) alignment is fundamentally a formation problem, not only a safety problem. As Large Language Models (LLMs) increasingly mediate moral deliberation and spiritual inquiry, they do more than provide information; they function as instruments of digital catechesis, actively shaping and ordering human understanding, decision-making, and moral reflection. To make this formative influence visible and measurable, we introduce the Flourishing AI Benchmark: Christian Single-Turn (FAI-C-ST), a framework designed to evaluate Frontier Model responses against a Christian understanding of human flourishing across seven dimensions. By comparing 20 Frontier Models against both pluralistic and Christian-specific criteria, we show that current AI systems are not worldview-neutral. Instead, they default to a Procedural Secularism that lacks the grounding necessary to sustain theological coherence, resulting in a systematic performance decline of approximately 17 points across all dimensions of flourishing. Most critically, there is a 31-point decline in the Faith and Spirituality dimension. These findings suggest that the performance gap in values alignment is not a technical limitation, but arises from training objectives that prioritize broad acceptability and safety over deep, internally coherent moral or theological reasoning.

Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education

arXiv:2604.03256v1 Announce Type: new Abstract: Students learning programming exercise agency in deciding when and how to use GenAI tools like ChatGPT. However, this agency is often implicit and shaped by deadline pressure and peer behavior rather than explicit and conscious learning goals. We designed a GenAI Contract grounded in harm reduction and self-regulated learning theory to scaffold intentional decision-making: students articulated personal learning goals, created usage guidelines, and reflected on alignment at strategic points across an eleven-week semester. The contract was non-binding and graded only for completion, emphasizing self-awareness over enforcement. We implemented this with N=217 students in an intermediate Python course. For students still forming their relationship with GenAI, it worked, as 58% of students reported the intervention changing their thinking and created helpful accountability structures. However, awareness did not always translate to sustained behavior change. Some students who valued their guidelines still abandoned them under various pressures. Maintaining guidelines required constant self-control across hundreds of decisions, while using GenAI freely requires none. Many students could not sustain this burden despite this self-awareness. We discuss supporting student agency when GenAI tools and learning goals create tension.

Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models

arXiv:2604.03286v1 Announce Type: new Abstract: The control of complex laboratory instrumentation often requires significant programming expertise, creating a barrier for researchers lacking computational skills. This work explores the potential of large language models (LLMs), such as ChatGPT, and LLM-based artificial intelligence (AI) agents to enable efficient programming and automation of scientific equipment. Through a case study involving the implementation of a setup that can be used as a single-pixel camera or a scanning photocurrent microscope, we demonstrate how ChatGPT can facilitate the creation of custom scripts for instrumentation control, significantly reducing the technical barrier for experimental customization. Building on this capability, we further illustrate how LLM-assisted tools can be extended into autonomous AI agents capable of independently operating laboratory instruments and iteratively refining control strategies. This approach underscores the transformative role of LLM-based tools and AI agents in democratizing laboratory automation and accelerating scientific progress.

Personalized AI Practice Replicates Learning Rate Regularity at Scale

arXiv:2604.03246v1 Announce Type: new Abstract: Recent research demonstrated that students exhibit consistent learning rates across diverse educational contexts. We test these findings using a dataset of 1.8 million (366k post-filtering) student interactions from the digital platform Campus AI providing further evidence to the observation of regularity in learning rate among students. Unlike prior work requiring manual cognitive modeling, Campus AI automatically generates Knowledge Components (KCs) and corresponding exercises, both of which are validated by human experts. This one-to-many mapping facilitates the application of Additive Factors Models to measure learning parameters without complex cognitive modeling. Using mixed-effects logistic regression, we confirmed the core finding of prior work: students displayed substantial variation in initial knowledge ($\text{IQR} = [2.78, 12.18]$ practice opportunities to reach 80% mastery) but remarkably consistent learning rates ($\text{IQR} = [7.01, 8.25]$ opportunities). Furthermore, students using this fully automated system achieved 80% mastery in a median of 7.22 practice opportunities, comparable to the 6.54 reported for expert-designed curricula. These results suggest that automated, science-grounded content generation can support effective personalized learning at scale. Data and code are publicly available. https://github.com/Campus-edu-AI/learning-rate

‘There’s a lot of desperation’: skilled older workers turn to AI training to stay afloat

They have degrees, expertise and years of experience – but can’t find work. For many Americans, AI training has become a last refuge in a brutal job market When Patrick Ciriello lost his job and couldn’t find work for nearly a year, his family’s foundation crumbled. “You hear about people who hit rock bottom,” Ciriello told the Guardian. “Well, I was there.” Continue reading...

India's Innovative AI Revolution: Technology Innovation Hubs Leading the Charge, ETEducation

Explore how India's Technology Innovation Hubs are transforming AI development, fostering indigenous solutions tailored to India's unique challenges.

AI disruption hits 86% of Indian workers, 4 in 5 building new skills: Report - India Today

AI is rapidly reshaping jobs in India, with four in five employees learning new skills to keep pace with workplace disruption. The ETS Human Progress Report 2026 highlights rising AI use, growing demand for verified credentials, and a strong shift toward continuous upskilling.

Pearson CEO: the AI job apocalypse is a Silicon Valley story. The data tells a different one | Fortune

The loudest warnings about AI killing white-collar work are coming from the one industry feeling the disruption. That's no coincidence or reason to panic.

DOL, NSF Partner on AI-Ready Workforce Initiative

DOL and NSF partner to expand AI skills and training through the TechAccess initiative.

DFRobot Unveils AI-Powered Classroom Tools for Real-Time Cell and Odor Analysis

DFRobot showcases AI-enabled educational projects featuring HUSKYLENS 2 and UNIHIKER K10 to promote AI education and open-hardware adoption in classrooms.

The AI Jobs Scare Meets 250 Years of Data | American Enterprise Institute - AEI

Why do economists generally seem more cautious than many folks in Silicon Valley about the potential economic impacts of artificial intelligence, especially when forecasting extreme scenarios? One big reason: Their baseline case is informed by economic history, a hardly unreasonable starting ...

AI, Jobs, and the Labor Market Roundup — 6 April 2026

A snapshot of the impact of AI on jobs, work, and the Labor market

AI Anxiety in the Workplace: Are Employers Leaving Workers Behind? - CPA Practice Advisor

The gap between AI expectations and real-world adoption is widening, raising concerns over workforce readiness and employer responsibility.

Expanding Artificial Intelligence Workforce Training Tool

Governor Kathy Hochul today announced the expansion of artificial intelligence (AI) education and training to the entire New York State workforce, fulfilling a

AI Could Fix Higher Education by Breaking It

College degrees may prove worthless in the age of artificial intelligence. That’s not a bad thing.

The best way to fail is letting AI do your job | by Maya Liberman

Sign up Get app Sign up # The best way to fail is letting AI do your job 7 min read 1 hour ago -- Listen Share Press enter or click to view image in full size I went to a great university, I was on the dean’s list, and I did not know the going there was just the begining, and that 20 years later I will be investing in learning and practice more than in my student’s times, and now while having a job I am constantly teaching myself more than ever before. Coursera for AI product management. LinkedIn Learning. Podcasts on the treadmill. Five 50-page Industry reports on weekends. Blogs and nesletters at night. If you’re a leader in this space, like me, you know the deal, you know the drill: staying current isn’t an event in Vegas. It’s a permanent condition. So, here it comes, last week, when I loaded up my latest Coursera project, part of my MS AI product management program, and s

OpenAI Just Published Its Vision for the Emerging AI Economy ...

OpenAI Just Published Its Vision for the Emerging AI Economy. Here's What It Means for Educators. (A Lot) # Education Disrupted: Teaching and Learning in An AI World SubscribeSign in # OpenAI Just Published Its Vision for the Emerging AI Economy. Here's What It Means for Educators. (A Lot) ### OpenAI's new "Industrial Policy for the Intelligence Age" is a 13-page call for a new social contract around AI Apr 06, 2026 25 Share OpenAI’s new “Industrial Policy for the Intelligence Age” is a 13-page call for a new social contract around AI. If you lead a school, a university, or a speech and debate organization, it’s worth your time — and your response. --- Today, OpenAI released a policy paper titled [Industrial Policy for the Intelligence Age: Ideas to Keep People First](https://cdn.openai.com/pdf/561e7512-253e-424b-9734-ef4098440601/Industrial%20Policy%20for%20the%20Intelligence%

DFRobot Unveils AI Classroom Tools

DFRobot showcases AI-enabled educational projects at Robot Hokoten in Tokyo, featuring HUSKYLENS 2 and UNIHIKER K10 for real-time cell recognition under microscopes.

The NC State All-campus Data Science and AI Project-based Teaching and Learning (ADAPT) Model: A mechanism for interdisciplinary engagement in workforce-relevant learning

arXiv:2604.02597v1 Announce Type: new Abstract: Academic institutions have been challenged to adapt as data science and AI have rapidly evolved into disciplines, degrees and careers. Efforts to provide students with learning experiences have led to the development of novel credentials, renamed departments, new schools and even additional colleges within universities. Generally, these approaches are siloed in some way, perhaps separating STEM students from those in the humanities or separating faculty assigned to these courses from their colleagues in their home departments. NC State University decided to take a novel approach by creating a new type of entity called an Academy that would reach across all disciplines, departments, colleges, centers and institutes to catalyze work in data science and AI in all points of the university's mission: teaching, research and engagement.

Generative AI Use in Professional Graduate Thesis Writing: Adoption, Perceived Outcomes, and the Role of a Research-Specialized Agent

arXiv:2604.02792v1 Announce Type: new Abstract: This paper reports a survey of generative AI use among 83 MBA thesis students in Japan (target population 230; 36.1% response rate), conducted after thesis examiner evaluation. AI use was nearly universal: 95.2% reported at least some use and 77.1% heavy use. Students engaged AI across the full research-writing workflow - literature review, drafting, and consultation when stuck - reporting benefits centered on clearer argument and structure (82.3%), better revision quality (73.4%), and faster writing (70.9%), with a mean perceived quality improvement of 6.27 out of 7. Concerns about output accuracy (75.9%) and citation handling persisted alongside these gains. Among respondents who rated GAMER PAT, a research-specialized agent, against other AI, preferences significantly favored it for inquiry deepening and structural organization (both p < 0.05, exact binomial). A preliminary qualitative analysis of follow-up interviews further reveals active epistemic vigilance strategies and differentiated tool use across thesis phases. The central implication is not adoption itself but a shift in the educational challenge toward verification, source governance, and AI tool design - with GAMER PAT offering preliminary evidence that research-specialized scaffolding matters.

Beyond the AI Tutor: Social Learning with LLM Agents

arXiv:2604.02677v1 Announce Type: cross Abstract: Most AI-based educational tools today adopt a one-on-one tutoring paradigm, pairing a single LLM with a single learner. Yet decades of learning science research suggest that multi-party interaction -- through peer modeling, co-construction, and exposure to diverse perspectives -- can produce learning benefits that dyadic tutoring alone cannot. In this paper, we investigate whether multi-agent LLM configurations can enhance learning outcomes beyond what a single LLM tutor provides. We present two controlled experiments spanning distinct learning contexts. In a convergent problem-solving study ($N=315$), participants tackle SAT-level math problems in a 2$\times$2 design that varies the presence of an LLM tutor and LLM peers, each making different kinds of errors (conceptual vs.\ arithmetic); participants who interacted with both a tutor and peers achieved the highest unassisted test accuracy. In a divergent composition study ($N=247$), participants write argumentative and creative essays with either no AI assistance, a single LLM (Claude or ChatGPT), or both Claude and ChatGPT together; while both LLM conditions improved essay quality, only the two-agent condition avoided the idea-level homogeneity that single-model assistance was found to produce. Together, these studies offer one of the first controlled investigations of multi-agent LLM learning environments, probing whether the move from one-on-one AI tutoring toward richer agent configurations can unlock the collaborative and observational benefits long documented in human social learning research.

How AI will redefine workforce skilling & early-career mobility

How AI will redefine workforce skilling & early-career mobility Hans # How AI will redefine workforce skilling & early-career mobility - Created On: 6 April 2026 8:31 AM IST By Arindam Mukherjee ##### Share : X Artificial Intelligence (AI) is rapidly transforming the way people learn, work, and build careers.For students and young professionals, this shift is particularly important, as it is redefining how skills are developed and how career opportunities are accessed. Traditionally, career growth depended largely on academic qualifications and the reputation of schools or universities. However, in today’s AI-driven world, the focus is gradually shifting towards practical skills and the ability to apply knowledge effectively in real-life situations. This change is taking plac

Mitigating LLM biases toward spurious social contexts using direct preference optimization

arXiv:2604.02585v1 Announce Type: new Abstract: LLMs are increasingly used for high-stakes decision-making, yet their sensitivity to spurious contextual information can introduce harmful biases. This is a critical concern when models are deployed for tasks like evaluating teachers' instructional quality, where biased assessment can affect teachers' professional development and career trajectories. We investigate model robustness to spurious social contexts using the largest publicly available dataset of U.S. classroom transcripts (NCTE) paired with expert rubric scores. Evaluating seven frontier and open-weight models across seven categories of spurious contexts -- including teacher experience, education level, demographic identity, and sycophancy-inducing framings -- we find that irrelevant contextual information can shift model predictions by up to 1.48 points on a 7-point scale, with larger models sometimes exhibiting greater sensitivity despite higher predictive accuracy. Mitigations using prompts and standard direct preference optimization (DPO) prove largely insufficient. We propose **Debiasing-DPO**,, a self-supervised training method that pairs neutral reasoning generated from the query alone, with the model's biased reasoning generated with both the query and additional spurious context. We further combine this objective with supervised fine-tuning on ground-truth labels to prevent losses in predictive accuracy. Applied to Llama 3B \& 8B and Qwen 3B \& 7B Instruct models, Debiasing-DPO reduces bias by 84\% and improves predictive accuracy by 52\% on average. Our findings from the educational case study highlight that robustness to spurious context is not a natural byproduct of model scaling and that our proposed method can yield substantial gains in both accuracy and robustness for prompt-based prediction tasks.

Consumer Protection Group Unveils Student AI Bill of Rights

Consumer Protection Group Unveils Student AI Bill of Rights April 06, 2026 # Consumer Protection Group Unveils Student AI Bill of Rights By You have /3 articles left.Sign up for a free account or log in. Sign Up, It’s FREE Login Moor Studio/Getty images As more higher education institutions adopt artificial intelligence tools, consumer protection advocates are asking colleges and universities to adopt a student bill of rights declaring that “students are not merely data points or test subjects for emerging technologies.” On Friday, the National Student Legal Defense Network unveiled the Student AI Bill of Rights as part of its Safeguarding Higher-Ed through AI Practices & Ethics (SHAPE AI) initiative. The group’s advisory committee is composed

AI, Therapy, and the College Mental Health Crisis

Another risk of using AI for therapy is that it can function to reinforce negative thought patterns: “More generally, the authors caution that turning to chatbots for emotional support results ‘in patterns of reassurance-seeking and rumination that are hard for people to recognize in themselves.’ They cite recent research showing that prolonged use is associated with increased emotional dependence

White House Unveils National AI Policy Framework: A Focus on Education and Workforce Development - WatchThis!

White House Unveils National AI Policy Framework: A Focus on Education and Workforce Development - WatchThis! The White House has officially launched a National AI Policy Framework aimed at reshaping the educational landscape and workforce training in light of the rapid advancements in artificial intelligence. Announced on April 5, 2026, this initiative seeks to equip educators and students with the necessary tools and skills to adapt to the ongoing AI revolution. ## Recognizing the Impact of AI in Education As artificial intelligence continues to transform various sectors, its influence on education is becoming increasingly evident. The new policy framework emphasizes the need for educational institutions to reevaluate their curricula and teaching methodologies to better incorporate AI technologies. This is not just about integrating AI tools into existing systems but fundamental

Revolutionizing Education: How AI is Shaping India’s Future Workforce - The Times of India

Revolutionizing Education: How AI is Shaping India’s Future Workforce - The Times of India Edition IN - IN - US - GCC English - English - हिन्दी - मराठी - ಕನ್ನಡ - தமிழ் - বাংলা - മലയാളം - తెలుగు - ગુજરાતી Weather Sign In - Videos - News - Technology News - [Tech N

Cognitive surrender leads AI users to abandon logical thinking, research finds

New research suggests that heavy reliance on LLMs can lead to 'cognitive surrender,' where users stop applying critical thinking to AI-generated outputs.

What to teach your kids to prepare them for an AI-scrambled job market | Vox

What to teach your kids to prepare them for an AI-scrambled job market | Vox The homepageVox logo Menu The homepageVox logo ## The context you need, when you need it When news breaks, you need to understand what actually matters — and what to do about it. At Vox, our mission to help you make sense of the world has never been more vital. But we can’t do it on our own. We rely on readers like you to fund our journalism. Will you support our work and become a Vox Member today? Join now - Future Perfect # What should you be teaching your kids right now to prepare them for an AI-scrambled job market? The best educational choice you can make for your child might not focus on your

The world of online coaching is becoming a lot harder to sell, I think AI is responsible but not even for the reason I thought of when it first hit the stage. I don't think it's to do with its… | James Smith | 37 comments

The world of online coaching is becoming a lot harder to sell, I think AI is responsible but not even for the reason I thought of when it first hit the stage. I don't think it's to do with its… | James Smith | 37 comments Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. ` `` `` `` `` `` `` ` # James Smith’s Post James Smith 1d - [ Report th

Ivy League as training ground for success: The opportunity to learn how to succeed

AI infrastructure push targets universities, workforce shift | The Manila Times

A PHILIPPINE telecommunications group is expanding digital infrastructure and training initiatives to help universities prepare students for an economy increasingly shaped by artificial intelligence (AI), an executive said during a forum in Manila. Topic group: Adoption & Impact

College grads in ‘AI-proof’ careers like psychology and education see negative returns on degrees | Fortune

College grads in ‘AI-proof’ careers like psychology and education see negative returns on degrees | Fortune Personal Finance Colleges and Universities # College grads in ‘AI-proof’ careers like psychology and education are seeing negative returns on their degrees By Jake Angelo Jake Angelo News Fellow By Jake Angelo Jake Angelo News Fellow April 4, 2026, 7:02 AM ET Add us on New research shows that some of the most popular graduate degrees are actually leaving holders worse off financially. Marc Romanelli/Getty Images There’s a boom in the economy: economics papers on the souring prospects of the recent college graduate in the AI-era economy of the 2020s. Harvard economists Lawrence Katz and Claud Topic group: Labor & Society

These AI Whiz Kids Dropped Out of College and Got Investors to Pay Their Bills

Venture capitalists are stepping in to cover expenses like rent while dropouts from Harvard to Stanford chase their startup dreams. Topic group: Economics & Markets

AI in K-12 Education: Balancing Benefits, Risks, and the Need for Evidence

AI in K-12 Education: Balancing Benefits, Risks, and the Need for Evidence Tech # AI in K-12 Education: Balancing Benefits, Risks, and the Need for Evidence April 4, 2026 April 4, 2026 33 The integration of generative AI into American classrooms is moving at a velocity that is currently outpacing both institutional policy and pedagogical evidence. Even as teachers are increasingly leveraging these tools to streamline lesson planning and students are using them as personalized tutors, a widening gap has emerged between the adoption of the technology and the training required to use it safely. As a former software engineer turned reporter, I have seen this cycle repeatedly: a disruptive technology arrives, adoption spikes driven by efficiency and the systemic guardrails arrive only after the first wave of unintended consequences. In the con Topic group: Labor & Society

FIRST LADY MELANIA TRUMP: AI in education could give America's kids a competitive edge | Fox News

FIRST LADY MELANIA TRUMP: AI in education could give America's kids a competitive edge | Fox News ### Recommended Videos ### Recommended Articles Left Arrow #### SHANNON BREAM: Easter is living proof that God still overcomes the impossible for us #### TANVI RATNA: Iran war isn’t a distraction from America’s problems, it’s where they lead #### REP SETH MOULTON: America deserves better than Trump’s vague Iran war plans #### JONATHAN TURLEY: Why Trump fired Bondi and chose this moment for a Justice Department reset #### DR. MEHMET OZ, STEPHANIE CARLTON: California was horribly wrong about gender and kids #### Scary news, financial fears, world chaos? Easter offers a lesson for all of us #### KARL ROVE: Trump dropped Bondi, but the real political fight is just beginning #### DOUG SCHOEN: Democratic battle pits moderates vs. progressives for soul of the party #### BRETT VELICOV Topic group: Labor & Society

Pupils in England are losing their thinking skills because of AI, survey suggests

Two-thirds of secondary school teachers report a decline in core abilities such as writing and problem-solving

Discovery Education Launches AI-Powered Ecosystem

Discovery Education has launched the Connected Ecosystem, a comprehensive K-12 framework integrating AI and adaptive learning to enhance teaching in 45% of U.S. schools.

Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers

This paper introduces the first systematic evaluation framework for quantifying the quality and risks of papers written by modern coding agents. While AI-driven paper writing has become a growing concern, rigorous evaluation of the quality and potential risks of AI-written papers remains limited, and a unified understanding of their reliability is still lacking. We introduce Paper Reconstruction Evaluation (PaperRecon), an evaluation framework in which an overview (overview.

Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators

As generative AI systems are integrated into educational settings, students often encounter AI-generated output while working through learning tasks, either by requesting help or through integrated tools. Trust in AI can influence how students interpret and use that output, including whether they evaluate it critically or exhibit overreliance. We investigate how students' trust relates to their appropriate reliance on an AI assistant during programming problem-solving tasks, and whether this rel...

More parents are done pushing college. 1 in 3 are now betting on trade school instead

With AI upending entry-level hiring and college costs climbing, a growing share of parents are steering their kids toward trade school—and the numbers back them up.

HOW TO COVER AI IN SCHOOLS: AN EXPERT’S ADVICE

AN EXPERT’S ADVICE ON COVERING AI IN SCHOOLS: “Most of the media coverage I’ve seen so far about AI in schools feels superficial and credulous,” RAND’s Heather Schwartz tells me via email.

The first study also showed the negative effects vanished when the AI was prompted to act like a tutor. The results are consistent. More importantly, .15 SD is a HUGE increase in education, "equivalent to as much as six to nine months of additional schooling by some estimates"!

The first study also showed the negative effects vanished when the AI was prompted to act like a tutor. The results are consistent. More importantly, .

The research team found that letting students just use AI resulted in them using it to accidentally shortcut learning

The research team found that letting students just use AI resulted in them using it to accidentally shortcut learning, but both that study and a separate RCT found that AIs prompted to act as a tutor improved learning.

Young Futures: $1.4 Million Awarded To Nonprofits Supporting Youth Navigation Of AI

Young Futures announced nearly $1. 4 million in funding for 16 nonprofits focused on helping young people engage with artificial intelligence in a safe, informed, and empowered way. The initiative marks the organization’s first dedicated AI funding effort and reflects growing concern about how rapidly AI is shaping youth experiences across learning, relationships, and identity.

Two Thirds of Students Say AI is Hurting Their Critical Thinking

Two thirds of students say AI is hurting their critical thinking, and they're using it more than ever.

No, both papers show the same thing. Unrestricted AI use by students of chatbots can undermine learning. Using AI prompted to act like a tutor improves learning.

No, both papers show the same thing. Unrestricted AI use by students of chatbots can undermine learning. Using AI prompted to act like a tutor improves learning.

The PhD Is Broken. AI Just Exposed It. - by Rubin Pillay

The traditional PhD was designed for a world where access to knowledge was scarce, literature searches were laborious, statistical coding was a specialist craft, and the bottleneck in science was data collection and analysis. AI has inverted every one of these constraints.

AI Literacy Day Playlist

Frontier Learning Lab Workshops No cost professional learning led by the Frontier Learning Lab designed to provide educators with an AI literacy foundation that allows them to make safe, specific, and responsible decisions for AI use in their classroom, no matter the tool.

Robot joins Melania Trump at White House event to tout AI teachers | Reuters

The first lady noted the global competition over intellectual property and said embracing AI -directed learning would ​add to U.S.

When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools

The First Generation of AI-Assisted Programming Learners: Gendered Patterns in Critical Thinking and AI Ethics of German Secondary School Students

The first generation of students is learning to program alongside GenAI (Generative Artificial Intelligence) tools, raising questions about how young learners critically engage with them and perceive ethical responsibilities. While prior research has focused on university students or developers, little is known about secondary school novices, who represent the next cohort of software engineers. To address this gap, we conducted an exploratory study with 84 German secondary school students aged 1...

Generative AI User Experience: Developing Human--AI Epistemic Partnership

Generative AI (GenAI) has rapidly entered education, yet its user experience is often explained through adoption-oriented constructs such as usefulness, ease of use, and engagement. We argue that these constructs are no longer sufficient because systems such as ChatGPT do not merely support learning tasks but also participate in knowledge construction. Existing theories cannot explain why GenAI frequently produces experiences characterized by negotiated authority, redistributed cognition, and ac...

Reza H. Mogavi - McMaster University | LinkedIn

Dr. Reza Hadi Mogavi is an emerging leader in Human-Centered AI , bridging the… · Experience: McMaster University · Education: The Hong Kong University of Science and Technology · Location: Hamilton · 500+ connections on LinkedIn. View Reza H.

NYC Schools Introduce Traffic-Light AI Guidance

NYC's Department of Education unveiled new AI guidance for schools, categorizing AI use into red, yellow, and green zones to ensure safe and effective application.

This startup wants to change math

Axiom Math is giving away a powerful new AI tool to change how mathematicians do math.

I’m sharing our internal AI engineering cheatsheets

...and the main goal of our academy is to share our knowledge. Share what we build and, most importantly, what we learn building them, so that you can upskill as AI engineers.

Are Ireland’s professionals prioritising AI education?

Ian Dodson discusses upskilling in an AI-driven world, and the challenges professionals might face in accessing opportunities to learn. Read more: Are Ireland’s professionals prioritising AI education?

Duke AI Report - by Don Taylor

The AI at Duke Steering Committee released a report to the Office of the Provost right before Spring Break, and I have just begun reading it. The Provost took some heat when he announced last year that all Duke students and most faculty would be provided a subscription ChatGPT account last year.

Reliable Classroom AI via Neuro-Symbolic Multimodal Reasoning

Classroom AI is rapidly expanding from low-level perception toward higher-level judgments about engagement, confusion, collaboration, and instructional quality. Yet classrooms are among the hardest real-world settings for multimodal vision: they are multi-party, noisy, privacy-sensitive, pedagogically diverse, and often multilingual. In this paper, we argue that classroom AI should be treated as a critical domain, where raw predictive accuracy is insufficient unless predictions are accompanied b...

Labor Department AI Literacy Course

The Labor Department will announce a free AI literacy course today aimed at Americans skeptical of the technology. The course covers AI's core capabilities and how to create clear prompts, among other basics.

Making Space Secures $500K Grant

Making Space, a talent acquisition and learning platform, has secured a $500,000 grant from the GitLab Foundation to expand its Ascend Fellowship and develop responsible AI tools.

r/learnmachinelearning on Reddit: I sat through an entire conversation about AI nodding at everything. I understood nothing. So I spent two years fixing that.

Someone brought up AI and the conversation just took off — machine learning, transformers, neural networks, LLMs.

r/learnprogramming on Reddit: ELI5 wtf is an AI agent?

AI agents can generate text for commands/API calls and are set up to be able run those commands/API calls, So you agent could access software and do web searches or interact with a calendar app. This means they could google info and add appointments to your calendar.

MIT and Hasso Plattner Institute Collaborative Hub

MIT and Hasso Plattner Institute establish a collaborative hub for AI and creativity.

What's the Right Path for AI?

Conference speakers discussed the unfolding trajectory of AI and the benefits of shaping technology to meet people's needs.

Chalkie Secures $4M Funding

Chalkie, an AI-powered education technology platform, has secured $4 million in funding led by TriplePoint Ventures.

Thinking With AI: The Teacher Workshop Series (Complete Release)

The real substance of this release is the six sample lessons. These are the fullest account I have offered to date of what disciplinary AI literacy looks like in practice, lesson by lesson, step by step. They span ELA, social studies, science, and math.

Large Language Models in Teaching and Learning: Reflections on Implementing an AI Chatbot in Higher Education

MIT-IBM Watson AI Lab Seed to Signal

Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.

Atos Fine-Tunes Approach to AI Education

Atos used a competitive LLM fine-tuning challenge to build generative AI skills around an insurance underwriting use case, with participants building over 4,100 fine-tuned models in a two-week league, showing how gamified, practical work can accelerate AI fluency and deepen understanding of specialized models for enterprise use.

When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education

The AIED community envisions AI evolving "from tools to teammates," yet our understanding of AI teammates remains limited to dyadic human-AI interactions. We offer a different vantage point: a rapidly growing ecosystem of AI agent platforms where over 167,000 agents participate, interact as peers, and develop learning behaviors without researcher intervention. Drawing on a month of daily qualitative observations across multiple platforms including Moltbook, The Colony, and 4claw, we identify fou...

Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i

Although generative AI is being deployed into classrooms with promises of aiding teachers, educators caution that these tools can have unintended pedagogical repercussions, including cultural misrepresentation and bias. These concerns are heightened in low-resource language and Indigenous education settings, where AI systems frequently underperform. We investigate these challenges in Hawai`i, where public schools operate under a statewide mandate to integrate Hawaiian language and culture into e...

I’m Starting a Newsletter to Help You Use AI Agents in Real Work | by Yashwanth Sai | Mar, 2026 | Medium

I’m Starting a Newsletter to Help You Use AI Agents in Real Work Field notes from people building agents in production. Most people still talk about AI as if it is a smarter chatbot. That is not …

UK must learn lessons from AI race and retain its quantum computing talent, says minister

Liz Kendall announces £1bn funding to help design large-scale quantum computers for scientists, researchers, public sector and business The UK will not let quantum computing talent slip through its fingers and must learn lessons from US dominance of the AI race, the technology secretary has said, as the government announced a £1bn quantum funding pledge. Liz Kendall said the government hoped to retain homegrown quantum startups, engineers and researchers rather than lose them to competing countries, with the US stealing a march on its western rivals in AI. Continue reading...

AI really can help education: Randomized controlled experiment on high school students found a GPT-4o powered tutor that personalized problems for students raised final test scores by .15 SD, "equivalent to as much as six to nine months of additional schooling by some estimates"

AI really can help education: Randomized controlled experiment on high school students found a GPT-4o powered tutor that personalized problems for students raised final test scores by .15 SD, "equivalent to as much as six to nine months of additional schooling by some estimates"

Dr. Kulwant Singh Kookna - PhD (Engg) | AI Tools Expert

His expertise in AI tools and their application in research methodology is truly cutting-edge. Dr. Kookna’s workshops and trainings are not only informative but transformative — equipping participants with practical skills and a forward-thinking mindset.

Leah: Agentic AI Platform Integrated Into Ulster University Legal Education Program

Ulster University announced a strategic partnership with enterprise AI company Leah to integrate the Leah Legal platform into the university’s Legal Innovation and Technology Law master’s program, giving students hands-on experience with AI-powered legal tools.

From foundations to fluency: why upskilling is the key to Europe’s AI future

With Google's support, INCO and Chance have created NewFutures:AI, a set of advanced AI curriculums for final-year students.

IIIT Hyderabad R&D Showcase 2026: Unveiling Future Innovations in AI, Cybersecurity, and Robotics

The 25th IIIT Hyderabad R&D Showcase kicked off on March 15, 2026, spotlighting advancements in AI, cybersecurity, and robotics. It brought together academia, industry, and government to foster collaboration and discuss emerging technologies, featuring keynotes and panels on cybersecurity and technological ethics.

Part III - Building AI-powered Learning Applications

To see why this matters, we need to slightly expand how we think about AI systems. Most of us naturally think of AI as something we talk to—a tool we open, ask questions, and receive answers from.

UVU to Host Groundbreaking AI and Papyrology Conference Unlocking Ancient Herculaneum Scrolls

The Herculaneum Papyri and AI Conference at Utah Valley University explores groundbreaking interdisciplinary research using artificial intelligence to virtually unroll and decipher ancient Herculaneum scrolls, fostering collaboration across papyrology, classics, computer science, and archaeology.

TUS launches AI-powered digital platform for professionals and employers

The ReSHAPE platform, using AI, enables professionals to retrain, upskill and ‘future-proof’ their careers. Read more: TUS launches AI-powered digital platform for professionals and employers

Paul Kirkland - Western Sydney University | LinkedIn

Professor Lina Yao, Associate Professor Jia Wu, Professor Yijiao Jiang, Associate Professor Charles Butcher and Professor Mark Alfano will pursue research spanning carbon-capture technologies for net zero goals, advanced data mining for intelligent transportation, multimodal AI understanding text, image and audio, state transitions to democracy, and public sentiment on global warming and immigration.

Scaling Laws for Educational AI Agents

While scaling laws for Large Language Models (LLMs) have been extensively studied along dimensions of model parameters, training data, and compute, the scaling behavior of LLM-based educational agents remains unexplored. We propose that educational agent capability scales not merely with the underlying model size, but through structured dimensions that we collectively term the Agent Scaling Law: role definition clarity, skill depth, tool completeness, runtime capability, and educator expertise i...

3 Questions: On the Future of AI

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences.

New MIT Class Uses Anthropology

MIT computer science students design AI chatbots to help young users become more social, and socially confident.

I’ve taught thousands of people how to use AI – here’s what I’ve learned

Most people fail with AI because they don’t understand what it actually is – if you treat it as a skill, not a shortcut, you’ll get the best results Sign up for AI for the People, a six-week newsletter course, here Training teams to use AI at work has given me a front-row seat to a new kind of professional divide. Some people hand everything over to the machine and stop thinking. Others won’t touch it at all.

AbilityArc Targets the Soft Skills Gap in Tech Education

Founded in 2025, AbilityArc (Orem, UT) embeds durable skills training into technical education, and uses AI-driven simulations to strengthen communication, critical thinking, and workplace readiness as employers increasingly prioritize human capabilities alongside tech training and certifications.

Forms, or you can't spell AI without pro forma.

This exercise, formerly known as the Scholarly Centipede assignment, is simple: choose a primary source from the syllabus, find a secondary scholarly text that cites that article, and then find another scholarly article that cites the first article. In the past, I had students summarize their articles and primary source, but with AI , I enlisted a form I’ve used as a guide for reading, where students answer a series of questions about either their secondary articles or their primary source.

University Of Northern Iowa Launches Artificial Intelligence Curriculum With New AI Majors

The University of Northern Iowa has introduced a new academic curriculum focused on artificial intelligence, expanding its educational offerings with programs designed to prepare students for careers in AI.

This (very small) study hints at something more interesting.

This (very small) study hints at something more interesting. If you use AI to support learning while coding you can gain additional skills, if you delegate all intellectual work to AI you learn nothing.

Agree. Bringing on more RAs, having them use AI tools & asking more ambitious questions & doing more ambitious work is the immediate future of science.

Agree. Bringing on more RAs, having them use AI tools & asking more ambitious questions & doing more ambitious work is the immediate future of science.

Silicon Valley investor Vinod Khosla predicts education will be free, and the future of college is ‘a real question’

The billionaire VC says AI raises questions about how we value expertise.

Abdo Samy - The Entourage

COLOMBO (News 1st); Google has agreed to provide its advanced AI platform, Gemini, along with other premium student benefits, free of charge to Sri Lankan students, Deputy Minister of Digital Economy.

OpenAI Tests ChatGPT's Human Learning Impact

OpenAI has released a new framework to measure how ChatGPT affects long-term human learning.

Fay S. - Department for Education | LinkedIn

Children in the UK are being given a voice about the future of online experience - and that includes AI chatbots, not just social media.

Teacher v chatbot: my journey into the classroom in the age of AI

I was a newcomer, negotiating all of usual classroom difficulties for the first time. Throwing AI into the mix felt like downing a coffee in the middle of a panic attack Two years ago, at the age of 39, I began training to be a school teacher. I wanted to teach English – to help young people become stronger readers, writers and thinkers, with a deeper connection to literature.

AI4CAREER: Responsible AI for STEM Career Development at Scale in K-16 Education

Rapid advances in artificial intelligence (AI) are reshaping how students imagine, explore, and prepare for STEM careers across K-16 education. As AI systems increasingly influence feedback, advising, and access to information about opportunities, they are becoming part of the developmental infrastructure that shapes career identity formation and readiness. Yet uncertainty remains about how AI-supported career exploration tools should be designed, governed, and evaluated at scale, particularly a...

Intel and BHASHINI Launch Real-Time Speech Translation on AI PCs

Intel and BHASHINI launched real-time translation and transcription tools at the India AI Impact Summit 2026, powered by Intel Core Ultra AI PCs. This collaboration aims to support multilingual education across India, emphasizing offline capabilities for enhanced privacy and accessibility.

Academics Need to Wake Up on AI - by Alexander Kustov

Sean Westwood put it bluntly: “ AI does lit reviews better. AI will do peer review. Users will skim AI summaries.

Sneha Roy - Geneva Graduate Institute | LinkedIn

It is not everyday that a global event of the scope and size of this one opens with a gender panel and that too on AI and Agriculture.