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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 600
When LLM Essays Outscore Student Essays: What A Korean Writing Rubric Rewards And Where Readers Disagree
Shinwoo Park, Yo-Sub Han. (08/2026). arXiv. https://arxiv.org/abs/2601.19913v4
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With AI-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wu, Adish Singlab, Christopher Brooksa. (08/2026). arXiv. https://arxiv.org/abs/2512.04630v2
Can AI deliver appropriate support for diverse student profiles?: A large-scale evaluation
Sonsoles López-Pernas, Eduardo Oliveira, Kamila Misiejuk, Fitsum Gizachew Deriba, Rogers Kaliisa, Mohammed Saqr. (08/2026). Computers in Human Behavior: Artifical Humans. https://pdf.sciencedirectassets.com/783247/1-s2.0-S2949882126X20023/1-s2.0-S294…
Students' Epistemological Beliefs And Their Chatbot Preferences In AI-Mediated Physics Learning
Amogh Sirnoorkar, Omkar Mamidpalliwar. (07/2026). arXiv. https://arxiv.org/abs/2607.29385v1
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Student Perceptions And Preferences Regarding AI-Generated Instructional Videos In Computing Education
Esse Ciego, Shubbhi Taneja, Wilson Wong, Amanpreet Kapoor. (07/2026). arXiv. https://arxiv.org/abs/2607.28203v1
Agreement Is Not Quality: Blind Expert Verification Of Human And LLM Qualitative Coding When Human Consensus Is Not Ground Truth
Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2026). arXiv. https://arxiv.org/abs/2607.28890v1
Designing Needs- And Attention-Aware AI Learning Tools For Engineering Education: Insights From Psychological Outcomes
Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (07/2026). arXiv. https://arxiv.org/abs/2607.26338v1
Four Years Of Genai: How Educators And Industry Adapted Their Assessment Strategies
May Mahmoud, Nisa Shahid, Izah Sohail, Gulshan Sharma, Hanan Salam, Sarah Nadi. (07/2026). arXiv. https://arxiv.org/abs/2607.24246v2
Beyond Direct Answering: Aligning Educational LLMs As Socratic Guides Via Heuristic Reinforcement Learning
Xiaokun Wang, Siyu Song, Wentao Liu, Xiaodong Zou. (07/2026). arXiv. https://arxiv.org/abs/2607.22996v1
Did Alice Do Wrong? Cross-Cultural Differences In Student Perceptions Of Generative AI Use In University Computing Education
Brian Harrington, Irina Zlotnikova, Gayathri Nadarajan, Samuel Ekundayo. (07/2026). arXiv. https://arxiv.org/abs/2607.19699v1
From Novelty To Normalisation: Tracking Changing Perceptions Of AI In Higher Education, 2024-2026
Juliana Gerard, Morgan Macleod, Kelly Norwood, Aisling Reid, Muskaan Singh. (07/2026). arXiv. https://arxiv.org/abs/2607.16223v2
Student Evaluation Of Repeated AI Feedback Across A Semester Of Writing
Andres Karjus, Janika Leoste, Tiia Õun. (07/2026). arXiv. https://arxiv.org/abs/2607.16115v1
Using AI-Based Learning Assistants In Higher Education: A Large-Scale Descriptive Analysis
Kristina Schaaff, Quintus Stierstorfer, Valerie Hekkel. (07/2026). arXiv. https://arxiv.org/abs/2607.08748v2
How Well Does AI-Generated Feedback Work? Intrinsic And Extrinsic Evaluation Across More Than 20,000 Efl Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. (07/2026). arXiv. https://arxiv.org/abs/2607.14591v1
Measuring How Students Rely On Generative AI In Academic Writing: Development And Multi-Source Validation Of The Generative AI Reliance Types Scale (Genai-Rts)
Shahin Hossain, Tukhbita Afroz Nawmi. (07/2026). arXiv. https://arxiv.org/abs/2607.14301v1
Co-Designing Digital Humans For Online Learning: A Framework For Human-AI Pedagogical Integration
Xiaokang Leil, Ching Christie Pang, Yuyang Jiang, Xin Tong, and Pan Hui. (07/2026). arXiv. https://arxiv.org/abs/2601.17434v2
A Comparative Analysis Of Institutional And Course Generative AI Policies Within Higher Education: Implications For Instruction In Computing Education
Amrita Ganguly, Aditya Johri, Nora McDonald, Areej Ali, Umama Dewan, Aayushi Hingle Collier. (07/2026). arXiv. https://arxiv.org/abs/2607.12296v1
LLM-Generated Design Problems For Assessing Higher-Order Thinking In Project-Based Learning
Ahmad D. Suleiman, Daqing Hou, Maliha Noushin Raida. (07/2026). arXiv. https://arxiv.org/abs/2607.11032v1
Uncovering Students' Mental Models Of Generative Artificial Intelligence
Amrita Ganguly, Sai Sharanya Garika, Aditya Johri. (07/2026). arXiv. https://arxiv.org/abs/2607.11692v1
How Annotation Trains Annotators: Competence Development In Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczƒôsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk, Przemyslaw Kazienko. (07/2026). arXiv. https://arxiv.org/abs/2604.02951v2
Commenting With Copilot: A Taxonomy And Multi-Year Analysis Of Student Code-Generation Specifications
Nasser Giacaman, Valerio Terragni, Paul Denny, Viraj Kumar. (07/2026). arXiv. https://arxiv.org/abs/2607.10674v1
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding For LLM Agents
Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas. (07/2026). arXiv. https://arxiv.org/abs/2602.01415v5
"Code Is Cheap. Show Me The Talk.": Lessons From Teaching And Managing AI Coding Tool Usage In A Visualization Course
Zhongzheng Xu, Taehyun Yang, Fumeng Yang. (07/2026). arXiv. https://arxiv.org/abs/2607.09938v1
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
When LLM Tutoring Responses Work: Evidence From Student Programming Conversations
Mohammad Fahim Abrar, Shyala Sharmin, Roghayeh Leila Barmaki. (07/2026). arXiv. https://arxiv.org/abs/2607.09919v1
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
When AI Is Wrong On Purpose: How Students Respond To Buggy Genai Code
Victor-Alexandru Pădurean, Kaitlin Riegel, Alkis Gotovos, Jyotika Mahapatra, Ahana Ghosh, Paul Denny, Juho Leinonen, James Prather, Adish Singla. (07/2026). arXiv. https://arxiv.org/abs/2607.05068v1
