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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 262
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
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
Generative AI Availability, Grades, And Student Satisfaction At A Large University
James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv. https://arxiv.org/abs/2607.21534v2
A Framework For Developing University Policies On Generative AI Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (07/2026). arXiv. https://arxiv.org/abs/2504.02636v3
Teachy Mini: Development And Preliminary Evaluation Of A Knowledge-Based Generative Social Robot For Higher Education
Stephan Vonschallen, Karim Kaufmann, Dominique Oberle, Friederike Eyssel, Theresa Schmiedel. (07/2026). arXiv. https://arxiv.org/abs/2607.22345v1
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis
Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
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
Understanding How University Guidelines Address Privacy And Security Issues Of Generative AI In Academic Settings
Bei Yi Ng, Jiarui Li, Xinyuan Tong, Kevin Ye, Gauthami Yenne, Varun Chandrasekaran, Jingjie Li. (07/2026). arXiv. https://arxiv.org/abs/2506.20463v2
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
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
Analyzing Curricular Pattern Complexity Using AI To Improve On-Time Graduation Rates
Lynn Vonderhaar, Juan Couder, Siri Siqveland, Omar Ochoa, James Pembridge. (07/2026). arXiv. https://arxiv.org/abs/2607.13094v1
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
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
Assessment Design In The Genai Era: The X1-X2-X3 Assessment Pattern For Testing Students' AI Literacy, Learning Outcomes, And Reflection
Riasat Islam, Thomas Roelleke. (07/2026). arXiv. https://arxiv.org/abs/2608.12351v1
Child Safety In Generative AI: An Expert-Guided And Incident-Grounded Evaluation Framework
Haein Kong. (07/2026). arXiv. https://arxiv.org/abs/2607.00395v1
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
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
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks In Higher Education
Nicholas Micallef, Olga Petrovska. (06/2026). arXiv. https://arxiv.org/abs/2606.13389v1
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
Who Gets To Do Physics? Occupational Stereotypes In AI-Generated Problem Sets
Bilas Paul. (05/2026). arXiv. https://arxiv.org/abs/2605.19161v1
Simulating Students Or Sycophantic Problem Solving? On Misconception Faithfulness Of LLM Simulators
Heejin Do, Shashank Sonkar, Mrinmaya Sachan. (05/2026). arXiv. https://arxiv.org/abs/2605.12748v1
Dipser: A Dataset For In-Person Student Engagement Recognition In The Wild
Luis Marquez-Carpintero, Sergio Suescun-Ferrandiz, Carolina Lorenzo ‚àö√Ölvarez, Jorge Fernandez-Herrero, Diego Viejo, Rosabel Roig-Vila, Miguel Cazorla. (05/2026). arXiv. https://arxiv.org/abs/2502.20209v3
Temperature And Persona Shape LLM Agent Consensus With Minimal Accuracy Gains In Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan, Sebastian Simon. (05/2026). arXiv. https://arxiv.org/abs/2507.11198v2
Teachers' Perceived Benefits And Risks Of AI Across Fifty-Five Countries: An Audit Of LLM Alignment And Steerability
Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, René F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2605.08486v1
From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wroblewska ´. (05/2026). arXiv. https://arxiv.org/abs/2605.06963v1
Investigating The Effects Of Different Levels Of User Control In An Interactive Educational Recommender System
QURAT UL AIN, MOHAMED AMINE CHATTI, WILLIAM KANA TSOPLEFACK, RAWAA ALA TRASH, SHOEB JOARDER. (05/2026). arXiv. https://arxiv.org/abs/2605.01400v1
Bibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions
Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel Peña Manalese, Aileen Pobre De Leon, Vernon Grace Magat Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27344v1
Exploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling
Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace Magat Maniago, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27346v1
Perceptions And Utilization Of Genai Tools Among Data Science Students And Faculty
ABEER M. HASAN, SAYED A. MOSTAFA. (04/2026). arXiv. https://arxiv.org/abs/2604.22998v1
