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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 789
Not Faster, But Better: Generative AI And Teacher Skill In Peru
Carla Z. Glave, Carolina Lopez, Ezequiel Molina, Roman Andres Zarate. (10/2026). World Bank. http://documents.worldbank.org/curated/en/099309210012625906
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
Teacher-Mediated Multimodal Platform And Math Achievement: Evidence From Goblins' Yearlong District Implementation
Anika Alam, Nicolas Dominguez-Mel, Jing Liu. (10/2026). EdWorking Papers. https://edworkingpapers.com/ai26-1611
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
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
Early Prediction Of AI-Assisted Cheating Risk In Online Exams Through Learning Analytics
Gokhan Akcapınar. (09/2026). arXiv. https://arxiv.org/abs/2609.37280v1
Three Pathways Of Student-AI Interaction: Constraint-First Design For Higher-Order Thinking
Fatima T. Zahra. (09/2026). arXiv. https://arxiv.org/abs/2610.00338v1
Argus: Academic Integrity In The Era Of Generative AI
David Racovan, Ajay Rawat, Christopher K. May, Jeffrey A. Turkstra. (09/2026). arXiv. https://arxiv.org/abs/2609.36073v1
"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
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
"We'Ll Fix It Later": Education, AI, And The Deferral Of Privacy In EdTech
Meghna Manoj Nair, Rachel Greenstadt. (09/2026). arXiv. https://arxiv.org/abs/2609.28137v1
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
AI-Assisted Social Story Intervention For Special Education: The Design Of Adapted Stories
Buyankhishig Enkhjargal, Himanshi Lalwani, Hanan Salam. (09/2026). arXiv. https://arxiv.org/abs/2609.24245v1
A Course Intelligence Platform For Higher Education: Lessons From AI-Assisted Course Evaluation
Bo Yuan, Jiazi Hu, Haimei Zhao. (09/2026). arXiv. https://arxiv.org/abs/2411.02455v3
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
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
Instructional Objectives Completed And Skill-Specific Early Reading Growth In A Digital Reading Tutor
Nicholas A. Gage. (09/2026). EdArXiv. https://osf.io/preprints/edarxiv/47pzq_v1
Artificial Intelligence Driven Physics Assignments Using Context Prompts
Miguel Rodriguez, Peter Wulff. (09/2026). arXiv. https://arxiv.org/abs/2609.22578v1
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
Mathematics Graduate Training In The Age Of AI
David Glickenstein. (09/2026). arXiv. https://arxiv.org/abs/2609.21132v1
I Code Or AI Code: A Comparative Evaluation Of AI-Rated Scores In Classroom Observations
Yasmin Fong, Jane Xiang, Tak-Yue Dickson Chan, Kerry Lee, Eva Yi Hung Lau. (09/2026). arXiv. https://arxiv.org/abs/2609.18274v1
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
Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
Lilian Killich, Marko Schmellenkamp, Fabian Vehlken, Thomas Zeume. (09/2026). arXiv. https://arxiv.org/abs/2609.17111v1
The Role Of Implicit And Explicit Demographic Signals In Large Language Model-Based Student Assessment
Donya Rooein, Luca Benedetto, Dirk Hovy. (09/2026). arXiv. https://arxiv.org/abs/2609.16993v1
Evaluating AI Tutoring At The Speed Of Innovation: Practitioner-Led Micro-Randomised Trials Of An AI Tutoring Platform In Gcse Science
Wayne Harrison, Rahil Khowaja, Emma Dobson, Germaine Uwimpuhwe, Steve Higgins. (09/2026). arXiv. https://arxiv.org/abs/2609.14789v1

