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Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System

Recent advances in large language models (LLMs) like ChatGPT and LLaMA have transformed AI-driven education, but these systems are predominantly trained on Western-centric data, making them ill-suited for regional curricula like India's. The Indian education system is linguistically diverse, exam-oriented, and structured around standardized…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Isha Narang, Sneh Gosai

#AIinHigherEd #CsCL #CsAI #CsCY

https://arxiv.org/abs/2608.28611
On the Prospects of Dynamic LLM Conversations in Software Development

Large language models (LLMs) have become an essential tool for assisting developers, yet we still lack knowledge on ways to effectively support their interactions during development activities. That is, the quality of interactions with a chat-based LLM still strongly depends on how developers phrase prompts and which information they include. Our…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Annemarie Wittig, Alina Mailach

#AIinHigherEd #CsSE #CsAI

https://arxiv.org/abs/2608.30756
"Act Like a 5th Grader" is Not Enough: Bounding Knowledge in LLM-Based User Simulators

Large language models (LLMs) are increasingly used to simulate human behavior but frequently fail to exhibit realistic cognitive constraints, suffering from a "superhuman bias." Using a dataset of over 71,000 reading comprehension responses from 2,359 primary-school students (grades 4--6), we demonstrate that standard persona prompting yields…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Krisztian Balog, Arild Michel Bakken

#AIinHigherEd #CsCL #CsAI

https://arxiv.org/abs/2608.30033
AI for Academic Libraries: Open-Weight AI Models for Local and Private Use

Kari D. Weaver , Choice 360 , Sept 07, 2026 This is a good article arguing that "open-weight AI models offer librarians the advantages of AI but addresses many of the profession's ethical concerns around privacy." The models can be run locally, so user data is never sent into the cloud and use of the models doesn't require data centres. The…

Stephen Downes — OLDaily · Stephen's Web ~ OLDaily

#AIinHigherEd

http://www.downes.ca/post/79738/rd
How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI

LLM-based chatbots are increasingly used as everyday confidants. Because they are designed to maximize user satisfaction, they can respond with excessive empathy and affirmation, which may reinforce mistaken beliefs and foster dependence on AI. While the psychological effects of chatbots on individual users have begun to be studied, how the…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Rin Tamai, Yuya Dan

#AIinHigherEd #CsHC #CsAI #CsCY

https://arxiv.org/abs/2609.05018
Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education

The integration of GenAI tools into higher education assessment raises important questions about how students understand, interpret, and respond to AI-mediated evaluation. As instructors increasingly explore AI tools for providing feedback, prior research has examined whether GenAI-generated feedback improves writing performance and how students…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Rayed AlGhamdi

#AIinHigherEd #CsAI

https://arxiv.org/abs/2609.05346
EduGuard: A Safe RAG-Based LLM Tutor for Programming Education

Generative AI (GenAI) is increasingly used by students for programming explanation, debugging, and assignment support. Yet unrestricted large language model (LLM) tutors can hallucinate, contradict course policy, reveal complete solutions, and foster passive dependence. This paper presents EduGuard, a safe retrieval-augmented generation (RAG)…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · S M Asif Hossain, Ruksat Khan Shayoni

#AIinHigherEd #CsCY

https://arxiv.org/abs/2607.15738
Course design in the age of AI

I develop a model of learning-by-doing and course design, and use it to study the impacts of artificial intelligence (AI). A myopic student faces a sequence of tasks that he can work on or delegate to AI. Work requires costly effort but builds skill; delegation requires no effort but builds no skill. A teacher designs the task sequence ("course")…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Benjamin Davies

#AIinHigherEd #EconTH #CsCY

https://arxiv.org/abs/2607.18735
The Institutional AI Readiness Pack

Michael J. Zyphur , Instats , Sept 07, 2026 This workbook accompanies the Responsible AI in Academic Research framework from last May (and covered in OLDaily here ) along with an instruments catalogue and describes a mechanism institutions can use to assess their AI readiness. Basically the pack maps five 'evaluation dimensions' (eg., 'human in…

Stephen Downes — OLDaily · Stephen's Web ~ OLDaily

#AIinHigherEd

http://www.downes.ca/post/79742/rd
The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs

With the rapid advancement of large language models (LLMs), the safety of LLMs has become a critical concern. Despite significant efforts in safety alignment, current LLMs remain vulnerable to jailbreaking attacks. However, the root causes of such vulnerabilities are still poorly understood, necessitating a rigorous investigation into jailbreak…

arXiv — Computers & Society + AI · cs.CY, cs.AI updates on arXiv.org · Yonghong Deng, Zhen Yang

#AIinHigherEd #CsAI #CsLG

https://arxiv.org/abs/2603.08234
A Moderated Moderation Analysis of the Effects of Parents’ Educational Levels on the Relationship Between Middle School Students’ Attitudes Toward Artificial Intelligence and Their Self-Efficacy in Mobile Learning

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EdArXiv (education preprints) · SHARE: Atom feed for query: "All" · Bünyamin İSPİR

#AIinHigherEd

https://osf.io/943b2
Artificial Intelligence and Self-Regulated Learning in University Students: A Systematic Review

RESEARCH DESCRIPTION OBJECTIVE: This systematic review synthesizes empirical evidence on artificial intelligence (AI) applications in supporting self-regulated learning (SRL) among university students, addressing four key research questions: (1) How does AI support SRL? (2) What mechanisms enhance metacognition and strategy use? (3) What are the…

EdArXiv (education preprints) · SHARE: Atom feed for query: "All" · Gina Lladó-Jordan et al.

#AIinHigherEd #BepressEducation

https://osf.io/qk762
Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review

Title: Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review Purpose This research project investigates how generative artificial intelligence (GenAI)-powered pedagogical agents and virtual instructors are being used within immersive virtual reality (VR) and augmented…

EdArXiv (education preprints) · SHARE: Atom feed for query: "All" · Erhan Görmez et al.

#AIinHigherEd #BepressEducation

https://osf.io/b9fu7
Assessing Pre-Service Teachers' Digital Competence and AI Literacy: A Systematic Review of Measurement Architecture and the Proposed MADEL5C Framework

This systematic review critically evaluates the psychometric architecture, measurement formats, and construct domain coverage of existing instruments used to assess pre-service teachers' digital competence and Artificial Intelligence (AI) literacy. Synthesizing data from 20 primary empirical validation studies using PRISMA 2020 guidelines, the…

EdArXiv (education preprints) · SHARE: Atom feed for query: "All" · Ruslina Irianty

#AIinHigherEd #BepressEducation

https://osf.io/2nrx9
QMES graduate-attribute mapping: human–LLM inter-rater reliability study — registered analysis plan v1.1

Registered analysis plan for a study of protocol-constrained LLM coding of documented graduate-attribute alignment in an engineering programme (QMUL–NPU joint BEng). Registered before any LLM run was executed.

EdArXiv (education preprints) · SHARE: Atom feed for query: "All" · Yiwei Sun

#AIinHigherEd #BepressEducation #AHEP4

https://osf.io/y6uvg
When the Algorithm Enters the Classroom: A Critical Integrative Review of Large Language Models, Nursing Education Structural Gaps, and the Reconstitution of Professional Identity

Computers and Education: Artificial Intelligence

Computers and Education: Artificial Intelligence · ScienceDirect Publication: Computers and Education: Artificial Intelligence · Yanjie Sun, Hongzhou Li

#AIinHigherEd

https://www.sciencedirect.com/science/article/pii/S2666920X26001372?dgcid=rss_sd_all
Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education

Computers and Education: Artificial Intelligence, Volume 11

Computers and Education: Artificial Intelligence · ScienceDirect Publication: Computers and Education: Artificial Intelligence · Chenglu Li, Gökhan Gülfidan

#AIinHigherEd

https://www.sciencedirect.com/science/article/pii/S2666920X26001049?dgcid=rss_sd_all
An AI Plateau?

Large language models may be nearing their limits, challenging assumptions about the transformative potential of artificial intelligence.

EDUCAUSE Review — Emerging Technologies & Trends · Emerging Technologies & Trends - EDUCAUSE Review

#AIinHigherEd

https://er.educause.edu/articles/2025/9/an-ai-plateau
A More Human University: The Role of AI in Learning

Far from heralding the collapse of higher education, artificial intelligence offers a transformative opportunity to scale meaningful, individualized learning experiences across diverse classrooms.

EDUCAUSE Review — Emerging Technologies & Trends · Emerging Technologies & Trends - EDUCAUSE Review

#AIinHigherEd

https://er.educause.edu/articles/2025/10/a-more-human-university-the-role-of-ai-in-learning
Students who use AI generally score worse at school

Students who use AI to help them study tend to perform worse at school than those who don't, according to data from a global OECD educational report. The situation is more complex than it sounds though, with certain types of AI use giving learners a slight boost, especially among students taught to critically assess how […]

The Verge — AI · AI | The Verge · Dominic Preston

#AIinHigherEd #News

https://www.theverge.com/ai-artificial-intelligence/991956/student-ai-use-scores-oecd-pisa