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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 731
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…
Virtual Tutoring with Computer-Assisted Learning: An Experiment in Take-Up and Learning
Philip Oreopoulos, Ruochong Dong, Nina Low. (08/2026). NBER. https://www.nber.org/papers/w35622?utm_campaign=ntwh&utm_medium=email&utm_sourc…
One Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment
Philip Oreopoulos, Nina Low. (08/2026). NBER. https://www.nber.org/papers/w35620
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
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
What Remains Human In Mathematics In The Age Of AI
Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
Structured AI Demonstrations And Student LLM Use In Engineering Mechanics: Study Design And Preliminary Results
Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune. (07/2026). arXiv. https://arxiv.org/abs/2607.28710v1
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
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
Beyond Perspectives: A Trio-Ethnography Of Interpretation Evolution In LLM-Supported Programming Education
Jennie Ren, Jordan H. McDowell, Kyrie Zhixuan Zhou. (07/2026). arXiv. https://arxiv.org/abs/2607.22463v1
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
AI-Integrated Scientific Inquiry: A Practice-Centered Vision For Science Education
Arne Bewersdorff, Matias Rojas, Xiaoming Zhai. (07/2026). arXiv. https://arxiv.org/abs/2607.21777v1
To Police Or To Guide: How Higher Education Computer Science Instructors Design And Implement Generative AI Policies
Xingjian (Lance) Gu, Wells Lucas Santo, James M. Zumel Dumlao, Barbara Ericson. (07/2026). arXiv. https://arxiv.org/abs/2607.16475v2
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
Generative AI Can Harm Teaching
Alp Sungu, Benjamin Lira, Angela L. Duckworth. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339
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
A Tool-Invariant Framework For Teaching And Assessing Computational Methods In The Age Of Agentic AI
Larry Engelhardt. (07/2026). arXiv. https://arxiv.org/abs/2607.15518v1
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
From Chaos To Clarity: A Framework For Program-Level AI Learning Outcomes
Grace Barkhuff, Ian Pruitt, William Gregory Johnson, Rodrigo Borela, Ben Rydal Shapiro, Anu G. Bourgeois. (07/2026). arXiv. https://arxiv.org/abs/2607.12221v1
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
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
"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
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
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
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
