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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 864
Calibrating LLM Tutor Initiation to Learner Expertise: Proactive and Reactive Support for Computational Thinking
Arun Rai, Liwei Chen, Balasubramaniam Ramesh, Cynthia Breazeal, Yuan Long, Benjamin M. Ampel, Andrea Aria. (11/2026). SSRN. https://bampel.com/uploads/calibrating-llm-tutor-initiation.pdf
Prompt-Based Emotional Scaffolding In Generative AI: Effects On Self-Regulated Learning And Socio-Emotional Outcomes
Elena-Alexandra Diordiev, Valdemar Aksel Stenberdt, Guido Makransky. (10/2026). British Journal of Educational Technology. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.70094
Supporting Perspective Acquisition And Opinion Formation On Societal Issues Through AI-Generated Japanese Rap Battle Debates
Ryota Mibayashi, Toru Urakawa, Dai Takanashi, Tomoya Morohoshi, Kanata Yamagishi, Ryuho Sekikawa, Yasuhiko Nishimura, Yuta Takeuchi, Hideaki Tamori, Takehiro Yamamoto, Hidenari Kiyomitsu, Hiroaki Ohshima. (10/2026). arXiv. https://arxiv.org/abs/2610.01179v1
Experimental Evidence on the Learning Impact of Generative AI
Zara Contractor, German Reyes. (10/2026). arXiv. https://arxiv.org/abs/2607.08849
The Effects Of Course-Integrated AI Tutoring On Student Performance And Engagement: A Randomized University Trial
Jing Liu, Tracy Sweet, Marty Haoyuan Chen, Jonathan Engelberg, Megan C. Masters, Martyn Clark, Axel Persaud, Alia Lancaster, Jeffrey K. Hollingsworth, Jennifer King Rice. (10/2026). EdWorking Papers. https://edworkingpapers.com/ai26-1598
When Evaluators Cry Wolf: Lessons From Production LLM-As-Judge Evaluation In Educational AI
Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper, Keanon O'Keefe, Patrick Russell. (09/2026). arXiv. https://arxiv.org/abs/2609.28478v2
Critical Thinking With Generative AI: A Constraint-First Design Pilot Of A Thinking-Partner Intervention
Fatima Tuz Zahra, Jiangen He, David M. Bowers, Wei Wang. (09/2026). arXiv. https://arxiv.org/abs/2609.38029v1
Fairness Theatre: Evaluating Post-Hoc Fairness Interventions In Vendor-Controlled Early Warning Systems
Kelly McConvey, Angelina Zhai, Rebecca Li, Shion Guha. (09/2026). arXiv. https://arxiv.org/abs/2609.38552v1
Making The Invisible Visible: A Framework For Reflective AI Use In Software Engineering Education
Ali Shakiba, Thomas Chaffey. (09/2026). arXiv. https://arxiv.org/abs/2609.34997v1
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics
Markus S. Feser, Paul L. Tschisgale. (09/2026). arXiv. https://arxiv.org/abs/2607.28210v2
"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. (09/2026). arXiv. https://arxiv.org/abs/2607.09938v2
Faster But Not Wiser: Github Copilot Decouples Programming Performance From Code Comprehension In Brownfield Tasks
Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (09/2026). arXiv. https://arxiv.org/abs/2511.02922v3
LLM-As-A-Judge Validity Is Strongly Task-Dependent Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, Elise Agra. (09/2026). arXiv. https://arxiv.org/abs/2603.14732v3
Psychological Factors Influencing University Students' Trust In AI-Based Learning Assistants
Ezgi Dagtekin, Ercan Erkalkan. (09/2026). arXiv. https://arxiv.org/abs/2512.17390v2
Characterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature
Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv. https://arxiv.org/abs/2609.28886v1
Judgment-Centred Software Engineering Education: A Post-Hype Review And Framework For AI-Augmented Learning
Qusay H. Mahmoud. (09/2026). arXiv. https://arxiv.org/abs/2609.29473v1
Studentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains
Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv. https://arxiv.org/abs/2609.28470?utm_source=chatgpt.com
Towards Synergistic Teacher-AI Interactions With Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (09/2026). arXiv. https://arxiv.org/abs/2511.19580v2
Little Impact Of ChatGPT On High School Test Scores
Nick Huntington-Klein. (09/2026). arXiv. https://arxiv.org/abs/2605.08812v3
From Content Generation To Learning Support: Pedagogy-Guided Generative Video Tutors For STEM Learning
Xinchen Ma, Shuimu Wang, Gaole He, Yanbin Zhang, Chunyang Wang, Yunshi Lan, Weining Qian. (09/2026). arXiv. https://arxiv.org/abs/2609.24083v1
When AI Tutors Speak: Evidence From A Randomized Field Experiment
Shihao Yang, Marshall Van Alstyne, Chrysanthos Dellarocas. (09/2026). arXiv. https://arxiv.org/abs/2609.23958v1
A Workshop Series For Effective Use Of AI In Uncertain Times: Building A Physics Faculty Learning Community
David Perl-Nussbaum, Noah D. Finkelstein. (09/2026). arXiv. https://arxiv.org/abs/2609.23887v1
Aware But Unprepared: Measuring The Security Awareness-Behavior Gap In Student Use Of LLM-Generated Code With Bifrost
Jaehwan Park, Seonhye Park, Kyungchan Lim, Hyoungshick Kim, Doowon Kim. (09/2026). arXiv. https://arxiv.org/abs/2511.20878v3
Artificial Intelligence Driven Physics Assignments Using Context Prompts
Miguel Rodriguez, Peter Wulff. (09/2026). arXiv. https://arxiv.org/abs/2609.22578v1
Biased AI Improves Human Performance But Reduces Perceived Helpfulness
Shiyang Lai, Jiwoong Choi, Junsol Kim, Nadav Kunievsky, Yujin Potter, James Evans. (09/2026). arXiv. https://arxiv.org/abs/2508.09297v4
AI-Assisted Assessment Of Experimental Physics Laboratory Reports: Potential, Limitations, And Support For Teaching Practice
Marcos Abreu, Cecilia Stari, Arturo C. Marti. (09/2026). arXiv. https://arxiv.org/abs/2609.22417v1
Your Programming Students' Cognition With ChatGPT: Higher Performance, Lower Retention, And Reduced Ownership
Christian Bergh, Benjamin Tag, Alexandra Vassar, Jake Renzella. (09/2026). arXiv. https://arxiv.org/abs/2609.21194v1
Teaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework For Reaching Rural Schools
Maxwell J. Jacobson, Gustavo Rodriguez-Rivera, Petros Drineas, Yexiang Xue. (09/2026). arXiv. https://arxiv.org/abs/2609.18072v1
