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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 31 - 60 of 854
Indirect And Direct AI Scaffolding For Computational Problem Posing: A Pilot Experience Report
Shayla Sharmin, Mohammad Fahim Abrar, Mohammad Al-Ratrout, Roghayeh Leila Barmaki. (07/2026). arXiv. https://arxiv.org/abs/2607.09628v1
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (07/2026). arXiv. https://arxiv.org/abs/2602.12873v5
Developing An LLM-Based Feedback System Grounded In Evidence-Centered Design To Support Physics Problem Solving
Holger Maus, Fabian Kieser, Stefan Petersen, Peter Wulff, Paul Tschisgale. (07/2026). arXiv. https://arxiv.org/abs/2512.10785v3
AIED's Unfinished Mission: Centering Agency And Motivation In The Age Of Effortless Bypass
H. Chad Lane. (07/2026). arXiv. https://arxiv.org/abs/2607.05557v1
Psychological Determinants Of Academic Integrity In The Use Of Generative AI In Higher Education
Ezgi Dagtekin, Ercan Erkalkan. (07/2026). arXiv. https://arxiv.org/abs/2608.14605v1
Deanllm: A Framework For Automated Quality Review Of AI-Generated Feedback
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Ji-Yoon Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gasevic. (07/2026). arXiv. https://arxiv.org/abs/2508.05952v2
The Generative AI Learning Penalty: Evidence from Chinese Secondary Education
David Stromberg, Victor Lei, Yanhui Wu. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618
Data Comics For Education: Evaluating Effectiveness, Benefits, And The Ethics Of AI-Assisted Creation
Zirui Shan, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai, Roberto Martinez-Maldonado. (07/2026). arXiv. https://arxiv.org/abs/2607.02361v1
Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
Katharine E. Meyer, Lindsay C. Page, Catherine Mata, Eric Smith, Brendan Tyler Walsh, Candice L. Fifield, Michelle Tyson, Amy E. Eremionkhale, Michael Evans, Shelby Frost, Eye Eoun Jung. (07/2026). NBER. https://www.nber.org/papers/w35397?utm_campaign=ntwh&utm_medium=email&utm_sourc…
LLM-As-A-Judge Validity In Physics Assessment Depends More On The Task Than The Model
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (06/2026). arXiv. https://arxiv.org/abs/2603.14732v2
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
The Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences
Lei Fan, Fangxue Liu. (06/2026). arXiv. https://arxiv.org/abs/2606.24104v1
LecturaRaagents: A Multi-Agent Framework For Adaptive Personalized AI-Assisted Learning And Embodied Teaching
Jaward Sesay, Yue Yu, Siwei Dong, Guangyao Chen, Börje F. Karlsson. (06/2026). arXiv. https://arxiv.org/abs/2606.16428v2
AI-Driven Analytics Of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts And The Learning Design
Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz. (06/2026). arXiv. https://arxiv.org/abs/2606.09831v2
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
Exploring The Potential Of ChatGPT For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Alvaro Suarez, Cecilia Stari, Arturo C. Marti. (06/2026). arXiv. https://arxiv.org/abs/2603.20412v2
"**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
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. (06/2026). arXiv. https://arxiv.org/abs/2606.20138v1
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
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
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
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
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
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
