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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 898
Analyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv. https://arxiv.org/abs/2606.22735v1
"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). arXiv. https://arxiv.org/abs/2606.03090v2
Analytics For Quality Assurance For Item Pools (Aquap): Monitoring And Maintaining Item Bank Health In AI-Driven Assessment Systems
Alina A. von Davier, Xiaowan Zhang, Yigal Attali, Yena Park, Jacqueline Church, Andrew Runge, Geoff LaFlair, Alexander Tsigler. (06/2026). arXiv. https://arxiv.org/abs/2606.18536v1
LLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv. https://arxiv.org/abs/2606.17507v1
Using AI In Engineering Education: A Balancing Act, Driven By Clear Purpose
Olya Kudina. (06/2026). arXiv. https://arxiv.org/abs/2606.16626v1
Scan: A Decision-Making Framework For Effective Task Allocation With Generative AI
Fendi Tsim, Alina Gutoreva. (06/2026). arXiv. https://arxiv.org/abs/2606.15601v1
The Missing Layer: Why EdTech Needs Design-Time Generative Ui, Not Just Runtime Personalization
Seyed Parsa Neshaei, Abhinand Shibu, Fatma Betül Güres. (06/2026). arXiv. https://arxiv.org/abs/2606.15902v1
Rethinking Scaffolding In LLM Tutors: The Interactional Mismatch Between Benchmarks And Real-World Deployments
Alexandra Neagu, Jeffrey T. H. Wong, Marcus Messer, Rhodri Nelson, Peter B. Johnson. (06/2026). arXiv. https://arxiv.org/abs/2606.15766v1
"Stuck In A Spiral": Shame And Guilt As Social Regulators Of AI Use In Computing Education
Kate Hamilton, Irene Hou, Dev Patel, Sheena Nnam, Hena Patel, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.14920v1
Reshaping Undergraduate Computer Science Education In The Generative AI Era (Version 1.0)
Yi-Chieh (EJ) Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh, Alex Potanin, Viraj Kumar, Anoop K. Sinha, Chen Qian, Paul Denny, Mennatallah El-Assady, Ian Oakley, Jake Renzella, Amy Zhang, Jat Singh, Wee Sun Lee, Hsuan-Tien Lin, Jane L. E, Anthony Tang, Margaret M. Burnett, Sowmya Somanath, Renwen Zhang, Vicky Charisi, Alexandra I. Cristea. (06/2026). arXiv. https://arxiv.org/abs/2606.07545v2
Examining The Usage Of Generative AI Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (06/2026). arXiv. https://arxiv.org/abs/2511.13271v2
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Quantifying Perception-Based Student Success With Generative AI: An Exploratory Monte Carlo Simulation
Seyma Yaman Kayadibi. (06/2026). arXiv. https://arxiv.org/abs/2507.01062v4
Detective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach
Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou and Yiwei Sun. (06/2026). arXiv. https://arxiv.org/abs/2606.07279v1
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
Validating AI-Generated Classroom Observations: Reliability, Accuracy, And Limits Of LLM-Based Pedagogical Judgment
Carolina Melo, Javiera de la Maza, Matías Recabarren. (06/2026). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X26000743
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School
Christopher Campos, John D. Singleton. (06/2026). NBER. https://www.nber.org/papers/w35347
Characterization And Effects Of Cs2 Learning With Genai, Visualization, And Human Support
Quinton Yong, Anthony Estey, Miguel Nacenta. (06/2026). arXiv. https://arxiv.org/abs/2606.02933v1
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
Soro: A Lightweight Foundation Model And Chatbot For Tajik
Stanislav Liashkov, Haitz S√°ez de Oc√°riz Borde, Azizjon Azimi, Khushbakht Shoymardonov, Shuhratjon Khalilbekov, Bonu Boboeva. (05/2026). arXiv. https://arxiv.org/abs/2605.27379v2
Double-Edged Sword Or Sharp Tool? Designing And Evaluating Triadic LLM-Teacher Collaboration For K-12 Writing At Scale
Canran WANG, Yuwen Yang, Zhen Wang, Ming MA, Chentai Wang, Ding Yu, Keman Huang, Xiaoyong Du. (05/2026). arXiv. https://arxiv.org/abs/2605.30200v1
Generalizing A Highly Configurable Analytics Pipeline To Replicate And Support Educational Research Across Multiple Domains
Y. Bai, P. Thajchayapong, A. Goel. (05/2026). arXiv. https://arxiv.org/abs/2605.30303v1
"It'S Ok Because...": The Wild West Of Student Rationalization Of AI Use In Academic Writing
Jiyoon Kim, Kentaro Toyama, Sangmi Kim, John M. Carroll. (05/2026). arXiv. https://arxiv.org/abs/2605.29090v1
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence
David Gibson, M. Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Access Timing As Scaffolding: A Reinforcement Learning Approach To Genai In Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hern√°ndez-Leo. (05/2026). arXiv. https://arxiv.org/abs/2605.15850v2
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study
Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv. https://arxiv.org/abs/2605.09393v3
Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (05/2026). arXiv. https://arxiv.org/abs/2603.20088v2
Facet: Multi-Agent AI Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (05/2026). arXiv. https://arxiv.org/abs/2601.22788v4
Governing generative AI in higher education: a global Delphi study on policy and practice
Helen Crompton, Diane Burke, Christine Nickel, Aras Bozkurt, Fengchun Miao, Mike Sharples, Jeffrey Alan Greene, David Parsons, Lucy Gill-Simmen, Adam Edmett, Mark Pegrum, Inge de Waard, Curtis J. Bonk, Manuel B. Garcia, John H. Curry, LeeAnn Lindsey, Mohan Yang, Stephen Marshall, Maha Bali, Nellie Deutsch, Suzaan le Roux, Mourad Benali, Mohd Ali Bin Samsudin, Hasan Tinmaz, Matthew L. Bernacki, Mari van Wyk, Lenandlar Singh, Agnes Chigona, Lance Eaton, Junhong Xiao, Johanna Velander, Jinhee Kim, Francisco Bellas, R. Rajalakshmi, Andréia de Bem Machado, Agnieszka Palalas, Sean Yu. (05/2026). International Journal of Educational Technology in Higher Education. https://link.springer.com/article/10.1186/s41239-026-00602-z
