AI in Higher Education
Monday, 7 September 2026
What crossed the desk today, gathered from 58 sources.
Perceived versus demonstrated competence in AI-assisted programming
This project supports a study examining the correspondence between university students' self-assessed competence and their demonstrated performance in AI-assisted programming (vibe coding). Students complete a self-report instrument covering twelve competence and behaviour constructs, and a nested sub-sample…
Toward hybrid teaching intelligence: Enhancing high school students’ programming learning with teacher-generative AI collaboration-based self-regulated learning
Programming education increasingly emphasizes practice-based learning, which requires timely and personalized instructional support. The emergence of generative AI (GAI) provides potential for individualized assistance, yet how teachers and GAI can collaboratively foster programming learning remains an open question…
UNIVERSIDAD | Un estudio de la ULL analiza el impacto de la ciencia ficción en la percepción de autonomía de la Inteligencia Artificial
Seoul National University recently suspended its AI detection service, which has been provided to sc..
La Universidad de León oferta la segunda edición de la microcredencial en Inteligencia Artificial
La Universidad de León impulsa la segunda edición de su microcredencial en Inteligencia Artificial
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…
La Universidad de León impulsa la formación en Inteligencia Artificial para la gestión empresarial
Optimizing Behavioral Strategy Selection during Cognitive Behavior Therapy for Procrastination using Machine Learning
Objective: To determine whether machine-learning models using baseline self-report data could personalize selection between two behavioral strategies embedded within cognitive-behavioral therapy (CBT) for procrastination. Methods: Participants were 256 Polish-speaking university students aged 18–26 years (M=22.4…
After the Assistant Leaves: Cognitive Washout Dynamics and the Reversibility of AI-Induced Skill Decay
A growing body of work documents what generative artificial intelligence does to human cognition during use: performance rises, effort falls, and self-reported critical thinking thins out. Recent experiments go further and show that even ten minutes of assistance leaves people worse at unassisted tasks, and less…
Officials Hedge, Public Doubts: The Certainty Gap in China's AI-Education Discourse (2020–2026)
Chinese universities have launched a wave of “AI+X” programs that train students in professional domains—architecture, journalism, accounting, teaching—to use generative AI tools, often before any consensus exists that AI-assisted learning improves educational outcomes. Empirical research to date finds no reliable…
Move beyond technical skills and embed AI literacy that teaches students to question
Asimov ¿vio venir la inteligencia artificial en sus obras? Por Cristian Villegas Director Instituto de Educación y Lenguaje Universidad de Las Américas
A Guided Inquiry Approach to Students Co-Designing Generative AI Course Policies
As generative AI (GenAI) use among students increases, educators face growing questions about how to support learning while addressing ethical and institutional concerns. This exploratory study examines a guided inquiry activity in which students co-designed a GenAI course policy. Students first developed individual…
Generative AI Expands the Intellectual Reach of Course Based Undergraduate Research Experiences (CUREs)
Course-based undergraduate research experiences (CUREs) broaden access to authentic scientific inquiry through responsive instructor support as research problems become increasingly complex. Generative artificial intelligence (GenAI) may extend this support by providing individualized assistance that can adapt as…
Una maestría para ir más allá de ChatGPT y Claude: ¿Qué debe aprender un profesional en la era de la IA?
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.
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…
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…
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
No description provided.
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…
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…
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…
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…
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…
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…