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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 1052
Generativism: Toward A Learning Theory For The Age Of Generative Artificial Intelligence
Shan Li, Juan Zheng. (08/2026). arXiv. https://arxiv.org/abs/2606.12441v2
Practical Implementation Report On Introducing Spec-Driven Development Using AI Agents In Software Development Pbl
Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari, Kiyoshi Honda, Naoki Fukuyasu. (08/2026). arXiv. https://arxiv.org/abs/2608.30572v1
A Guided Inquiry Approach To Students Co-Designing Generative AI Course Policies
Ashish Hingle, Aditya Johri. (08/2026). arXiv. https://arxiv.org/abs/2608.28501v1
Reclaiming Epistemic Agency: A Critical Framework For Human-Generative AI Co-Agency In Education
Biranchi Poudyal. (08/2026). arXiv. https://arxiv.org/abs/2608.26937v1
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (08/2026). arXiv. https://arxiv.org/abs/2606.20138v2
Who Will Become The Next Senior? How Generative AI Erodes The Development Pathway In Software Engineering
Sumin Yu, Taesup Moon. (08/2026). arXiv. https://arxiv.org/abs/2607.17067v3
The AI Adaptation Gap In Higher Education: Students, Faculty, And Administrative Staff
Yuriy S. Braun, Salavat M. Khafizov. (08/2026). arXiv. https://arxiv.org/abs/2608.25063v1
Security Education In Higher Education Through AI-Powered Gamification
Bingjun Li, Christopher Buzaid, Weihao Qu. (08/2026). arXiv. https://arxiv.org/abs/2608.24778v1
When LLMs Slow Down: How Environmental Impacts Mediate University Students' LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral, Cindy Kaiying Lin, Udit Gupta, Josiah Hester. (08/2026). arXiv. https://arxiv.org/abs/2608.23968v1
When LLMs Slow Down: How Environmental Impacts Mediate University Students'LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral, Cindy Kaiying Lin, Udit Gupta, Josiah Hester. (08/2026). arXiv. https://arxiv.org/abs/2608.23968v1
AI, Expert Or Peer? Provider Biases And Feedback Uptake Among Pre-Service Teachers
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (08/2026). arXiv. https://arxiv.org/abs/2507.16013v2
Evaluation In The Age Of AI: Output As Evidence Of Learning
Md Zarzees Uddin Shah Chowdhury, Samin Rahman Khan. (08/2026). arXiv. https://arxiv.org/abs/2608.22660v1
Tutortrace: A Dataset And Taxonomy For Classifying Learner Behavioral States During AI-Assisted Programming Education
David Barron, Xiaohang Tang, Rezky Dwisantika, Minsun Kim, David H. Smith IV, Jiaming Cui, Yan Chen. (08/2026). arXiv. https://arxiv.org/abs/2608.26184v1
Gen AI In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (08/2026). arXiv. https://arxiv.org/abs/2509.13570v2
Learnai: Just-In-Time AI Co-Creation Across Disciplines At A University
Weihao Qu, Ling Zheng, Chris Buzaid, Daniel Crawford. (08/2026). arXiv. https://arxiv.org/abs/2608.19164v1
Mitigating AI Risks In Computing Education Via LLM-Driven Lecture Video Curation
Owen Tang, Alexandra Vassar, Jake Renzella. (08/2026). arXiv. https://arxiv.org/abs/2608.16131v1
Academic League Of Artificial Intelligence - An Integrative Perspective Of Teaching, Research, And Extension
Alison R. Panisson, Maria Eduarda W. M. Vianna, Italo Firmino da Silva, Heitor Henrique da Silva, Rafaela Fernandes Savaris, Bernardo Pandolfi Costa, Martin Augusto Gagliotti Vigil, Jim Lau, Agenor Hentz, Andrea Sabedra Bordin, Alexandre Leopoldo Goncalves, Roberto Rodrigues-Filho. (08/2026). arXiv. https://arxiv.org/abs/2608.13447v2
Beyond Access: Guided LLM Scaffolding For Independent Learning In Undergraduate Statistics
Mohammad Amanloua, Yasaman Amou-Jafaria, Mehrad Liviana, Fatemeh Boloukazari a, Fereshte Bagheria, Behnam Bahrakb. (08/2026). arXiv. https://arxiv.org/abs/2606.01375v3
Culturally-Aware AI For Cross-Boundary Community Learning: Undergraduate Innovation At The Intersection Of Computation And Design
Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang. (08/2026). arXiv. https://arxiv.org/abs/2606.09041v2
Making AI-Generated Feedback Matter: A Large-Scale Study Of Feedback Workflows And Student Enactment
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Naomi Winstone, Dragan Gasevic, Hassan Khosravi. (08/2026). arXiv. https://arxiv.org/abs/2608.11625v2
A Hybrid AI Framework For Academic Advising: Integrating Ensemble-Based Grade Prediction And A Rule-Based Expert System
Hamid Saadatfar, Rohollah Hedayati-Nasab, AmirHossein Eshghi, Arash Hajihashemi. (08/2026). arXiv. https://arxiv.org/abs/2609.26243v1
AI-Generated Interactive Fiction For Educational Use: A Pilot Study Of Perceived Comprehensibility, Coherence, And Engagement
F. Rogosch, A. Schrader. (08/2026). arXiv. https://arxiv.org/abs/2608.10818v1
Mirroring The Past: Exploring How Ancestral Digital Self Influences History Learning
Duo Gong, Fan Sun, Yucen Wang, Yufan Hu, Wen Zhong, Wei Zhang, Pengcheng An. (08/2026). arXiv. https://arxiv.org/abs/2608.09719v1
Cyberagents: Structured Autonomy For Agentic Gamified Learning In Cybersecurity
Ivan Hornung, Deepthi Marasinghe Arachchige, Tharindu Kumarage, Garima Agrawal, Yuli Deng, Ying-Chih Chen, Huan Liu. (08/2026). arXiv. https://arxiv.org/abs/2608.07965v1
How Students (Really) Use ChatGPT: Uncovering Experiences Among Undergraduate Students
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (08/2026). arXiv. https://arxiv.org/abs/2505.24126v5
A Bottom-Up Taxonomy Of Student Discourse With A Socratic AI Physics Tutor
Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (08/2026). arXiv. https://arxiv.org/abs/2608.07373v1
From Retrieval To Synthesis: Repair Literacy And The Domestication Of Generative AI
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (08/2026). arXiv. https://arxiv.org/abs/2601.20749v3
Challenges For Musical Education In The Age Of AI And Digital Transformation
Jean-Pierre Briot. (08/2026). arXiv. https://arxiv.org/abs/2608.05176v2
Methodologies For Improving The Quality Of AI Tutoring In K-12 Education
Tushar Udeshi, Anna Khazenzon, Kabir Khan, Nick Breen, RJ Corwin, Chris DiGiano, Kodi Weatherholtz, Marek Zaluski. (08/2026). arXiv. https://arxiv.org/abs/2608.11259v1
