AI in Higher Education
Thursday, 10 September 2026
What crossed the desk today, gathered from 58 sources.
From simulation to flight: Simulation-assisted drone learning with teacher-AI co-designed scaffolds for secondary students’ STEM knowledge and competencies
Computers and Education: Artificial Intelligence, Volume 11
Gen-Mentor: A human-in-the-loop instructional framework for dental radiography using generative AI
Computers and Education: Artificial Intelligence, Volume 11
In the AI era: A project-based digital storytelling framework for art and design education
Computers and Education: Artificial Intelligence, Volume 11
VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI
Computers and Education: Artificial Intelligence, Volume 11
A socio-technical framework for educational excellence: Empirical validation of artificial intelligence and Jidoka integration in accounting pedagogy within emerging financial markets
Computers and Education: Artificial Intelligence, Volume 11
AI adoption readiness among Ukrainian education managers: Barriers, typologies, and policy implications
Computers and Education: Artificial Intelligence, Volume 11
Comparing human and LLM ordered coding of qualitative data: How coding differences cascade through temporal analysis
Computers and Education: Artificial Intelligence, Volume 11
Two years ago, Meta killed CrowdTangle. Can a new AI tool fill the void?
Andrew Deck , Nieman Lab , Sept 10, 2026 You read something on social media. You might want to know not only whether it's true, but where it came from, why it's there, and what might likely result. Meta had a tool called CrowdTangle to sort out the threads, but it was ultimately uninterested in it and killed it off in…
AI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study
Computers and Education: Artificial Intelligence, Volume 11
Conversational AI as a catalyst for informal learning: An empirical large-scale study on LLM use in everyday learning
Computers and Education: Artificial Intelligence, Volume 11
Enhancing domain adaptation of LLM via model composition in solving medical exam questions
Computers and Education: Artificial Intelligence, Volume 11
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A weeklong summer workshop brought higher-education faculty to MIT's campus to explore how AI and machine learning materials can be adapted for their classrooms.
Creating an AI-powered platform for generating modelling problems: A case study on direct variation in secondary school mathematics
Computers and Education: Artificial Intelligence, Volume 11
Emotion-aware classroom quality assessment leveraging IoT-based real-time student monitoring
Computers and Education: Artificial Intelligence, Volume 11
Conceptualizations of GenAI and students’ professionalization: Within the multi-layered environment of learning for higher education
Computers and Education: Artificial Intelligence, Volume 11
GenAI as a runaway object in higher education: A socio-cultural view on AI-influenced academic practice in mathematics
Computers and Education: Artificial Intelligence, Volume 11
Students’ multimodal prompting practices as epistemic work in AI literacy development
Computers and Education: Artificial Intelligence, Volume 11
Federated and explainable learning analytics for privacy-preserving academic risk modeling across heterogeneous educational institutions
Computers and Education: Artificial Intelligence, Volume 11
Enhancing AI literacy course satisfaction through empowerment in AI problem-solving and ethical awareness: Development and validation of an AI project-based learning scale
Computers and Education: Artificial Intelligence, Volume 11
AI Giants Report Advances in Mathematical Research
OpenAI has published what it says is an AI-generated solution to the Navier-Stokes existence and smoothness problem, one of mathematics' seven Millennium Prize Problems, while Anthropic has reported separate advances in research mathematics and formal proof generation.
Generative AI (GenAI) as a mindtool that supports generative learning (GL)
Computers and Education: Artificial Intelligence, Volume 11
Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers
Computers and Education: Artificial Intelligence, Volume 11
Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts
Computers and Education: Artificial Intelligence, Volume 11
Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design
Computers and Education: Artificial Intelligence, Volume 11
Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust
Computers and Education: Artificial Intelligence, Volume 11
Governing the unseen: A systematic review of AI literacy among language teachers in higher education
Computers and Education: Artificial Intelligence, Volume 11
Enabler or Remedy? A Scoping Review of Generative Artificial Intelligence and Academic Procrastination
Academic procrastination is among the most heavily synthesised constructs in educational psychology, with at least twelve meta-analyses since 2022 and at least four addressing problematic smartphone use alone. By contrast, the literature on artificial intelligence and procrastination has grown rapidly since late 2022…
Generative AI Involvement in Academic Tasks and University Students’ Psychological Ownership and State Impostor Feelings: An EMA and Experimental Study
This project examines whether and how generative artificial intelligence (GenAI) involvement in academic tasks influences university students’ psychological ownership of their work and state impostor feelings. The project includes two complementary studies. Study 1 uses a 14-day event-contingent ecological momentary…
Ephemeral Feeds and Enduring Rituals: RushTok and the Formation of Event-Based Algorithmic Communities
Each August, TikTok's For You page turns the University of Alabama's sorority recruitment into RushTok. We examine RushTok as an event-based algorithmic community: a collective assembled around a bounded offline ritual and sustained by recommendation. Using a mixed-methods survey (n=71) and a reflexive account of…
The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption
This study evaluates Vibe Coding, an emerging AI-led conversational programming paradigm that enables developers to generate software through natural-language interaction with large language models. Using a mixed-methods design, the study assessed performance efficiency, cognitive implications, and responsible…
When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination
Large language models are increasingly proposed as automated auditors of document quality, yet their reliability as detectors of planted errors is poorly characterised. We construct a contaminated corpus of 150 academic papers spanning supply chain management and medical research, injecting 450 known contaminants of…
AI-mediated research agency formation in higher education: Autonomy, self-efficacy and innovation in early-career scientific training
Computers and Education: Artificial Intelligence, Volume 11