AI in Higher Education
Tuesday, 8 September 2026
What crossed the desk today, gathered from 58 sources.
At the Crossroads of Innovation: Embracing AI to Foster Deep Learning in the College Classroom
AI is here to stay. How can we, as educators, accept this change and use it to help our students learn?
Framing Generative AI in Education with the GenAI Intent and Orientation Model
The proposed model seeks to assist instructors and learners with a framing lens for how GenAI might be useful in educational settings.
Will Our Educational System Keep Pace with AI? A Student's Perspective on AI and Learning
Reflecting on AI and learning, a student offers four insights gleaned from firsthand interactions with ChatGPT.
Generative AI Can Harm Teaching
we have a lot of work showing the harms of AI on learning, from math skills to writing. This interesting working paper looking at how AI can harm learning when used in teaching. Seems that including AI as part of a course can really make students lose interest in learning…
Recorded Notes in the Age of AI Deepfakes
Hello my fellow professors and happy semesters to all! So I don't allow class recordings, mainly for privacy reasons but also since no one was watching them anyway. This hasn't been an issue until now. I've gotten a student accommodation allowing them to record class, especially lectures. In the past, I wouldn't have…
Authority Bias in Conversational Search Engines for Academic Paper Recommendation
Large Language Models (LLMs) are increasingly used as conversational search engines for academic literature, yet whether they judge papers on content or on authority signals has not been tested causally. We investigate authority bias: systematic preference for papers based on author prestige, venue, and citations…
Seeing Learning Differently: What Generative AI Reveals About Human Capability Development
As generative artificial intelligence reshapes conversations about teaching, learning, and assessment, colleges and universities have an opportunity to look beyond what learners produce and better understand how human capability develops over time, strengthening teaching, feedback, and assessment through richer…
From Prompt to Practice: A Framework for Transparent GenAI Use in Higher Education
As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level transparency framework can help education developers calibrate documentation and disclosure practices to support ethical responsibility and maintain student trust.
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.
An AI Plateau?
Large language models may be nearing their limits, challenging assumptions about the transformative potential of artificial intelligence.
Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education
Computers and Education: Artificial Intelligence, Volume 11
Beyond Problem Solving: Large Language Models for Emotional and Reflective Support in Mathematics Learning
Intelligent Tutoring Systems (ITSs) traditionally focus their adaptive support on cognitive aspects of learning. Although effective, little is known about how such systems can be enhanced by addressing students' emotional states. In particular, the role of mindful interventions for supporting student learning and…
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher. Existing work has mainly studied its algorithmic behavior, leaving the role of training data unclear. We examine this role at the data-minimal limit by training on a single query. One-shot OPD keeps…
Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence
Artificial intelligence is changing the form of applied English materials from fixed paper sequences to adaptive learning systems that can diagnose learners, recommend tasks, and provide formative feedback. This paper studies the structure and application of a new practical English textbook driven by artificial…
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
Machine Learning in Birth Weight Prediction: A Systematic Review of Low and High Birth Weight Predictive Models
This systematic review evaluates the reported predictive performance of machine learning (ML) models that use low birth weight (LBW) or high birth weight (HBW, including macrosomia and large-for-gestational-age) as the directly predicted outcome. A systematic search was conducted across five databases (PubMed, Web of…
Changes in Help-Seeking Strategies Predict unaided Performance during AI-based Mathematical Learning
This project contains supplement material for the paper "Changes in Help-Seeking Strategies Predict unaided Performance during AI-based Mathematical Learning". It contains: - Fully-anonymized and curated chat data - Data for the questionnaires administered during the study - Full configuration and explanation of the…
From an apparent gain to a composition artefact: a three-condition study of generative AI in an undergraduate proof-based mathematics course
No description provided.
How many university students are using GenAI in their assessments? A scoping review
Scoping review of survey studies which report how many university students are using GenAI in their assessments
Research Fellow, Centre for Sustainability, AI and Life Sciences job with UNIVERSITY OF SYDNEY | 414904
La universidad Potemkin: cuando la IA hace mejores trabajos, pero peores estudiantes
EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction
Predicting students' academic risk in online education is crucial for enabling timely interventions that can improve retention and learning outcomes. However, existing models often suffer from limited early detection capability and insufficient interpretability, leading to a "black-box" trust crisis that hinders their…
Reclaiming Epistemic Agency: A Critical Framework for Human-Generative AI Co-Agency in Education
Generative artificial intelligence (GenAI) has been primarily framed as an impartial educational tool. However, this framing overlooks an even larger shift: the reassignment of epistemological authority from teachers to students to machines. This paper presents a conceptual evaluation of the extent to which GenAI…
The BS-meter: Detecting Politics and Labour through ChatGPT's Language
What can we learn about language from studying how it is used by ChatGPT and other large language model (LLM)-based chatbots? In this paper, we analyse the distinctive character of language generated by ChatGPT, in relation to questions raised by natural language processing pioneer, and student of Wittgenstein…
"Death by a thousand taxonomies?": AI Risk Classification In Practice
The harms in which AI is implicated range in nature and scope from unsafe user interactions through to the societal-wide consequences of AI adoption. Classification of the diverse risks of AI is foundational to AI governance: regulators, technology firms, and policymakers need structured accounts of risk upon which to…
Style as a Confound: False Positives in AI Detection of Non-Native Academic Writing
AI text detectors are increasingly employed in academic settings, but it remains unclear whether their outputs reflect AI authorship itself or broader linguistic features associated with polished academic English. Previous studies have reported high false-positive rates (FPRs) for non-native English writing, but…
Full/Associate/Assistant Professor in Artificial Intelligence job with UNIVERSITY OF MACAU | 414948
‘Not about preventing AI misuse’: S’pore universities move from grading essays to assessing thinking
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…