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Impact – Randomized Controlled Trial
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 162
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
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
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
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
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 Brief AI Literacy Intervention Does Not Significantly Reduce Over-Reliance And Increases Under-Reliance On ChatGPT: A Randomized Study
Brett Puppart, Jaan Aru. (09/2026). arXiv. https://arxiv.org/abs/2503.10556
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
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
Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study On Cooking Recipes
Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Kaser. (09/2026). arXiv. https://arxiv.org/abs/2609.17118v1
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
Generative AI Assisted Workflows In Architectural Conceptual Design: Performance, Creative Self-Efficacy, And Cognitive Load
Yao Xiao, Han Jiang, Rachel Hurley, Shichao Liu. (09/2026). arXiv. https://arxiv.org/abs/2601.10696v2
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring
Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (08/2026). arXiv. https://arxiv.org/abs/2606.20138v2
AI, Expert Or Peer? Provider Biases And Feedback Uptake Among Pre-Service Teachers
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (08/2026). arXiv. https://arxiv.org/abs/2507.16013v2
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence From A Randomized Experiment
Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani, Ramiro Galvez, Maria Lombardi. (08/2026). arXiv. https://arxiv.org/abs/2608.04198v1
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…
Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment
Philip Oreopoulos, Michael Liut, Alp Sungu, Nina Low. (08/2026). NBER. https://www.nber.org/papers/w35621?utm_campaign=ntwh&utm_medium=email&utm_sourc…
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
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
Is Solving Better Than Evaluating Genai Solutions?
Ethan Dickey, Marios Mertzanidis, Alexandros Psomas. (07/2026). arXiv. https://arxiv.org/abs/2607.27586v1
The Agency Gap In AI-Supported Writing: How Reactive And Proactive Agent Designs Shape Multimodal Reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2507.04398v3
Emergent Learner Agency In Implicit Human-AI Collaboration: How Supportive And Contrarian AI Personas Reshape Interaction
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gasevic, Xibin Han, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2512.18239v3
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
AI For Proactive Mental Health: A Longitudinal, Multi-Institutional Trial
Julie Y. A. Cachia, Xuan Zhao, John Hunter, Delancey Wu, Eta Lin, Julian De Freitas. (07/2026). New England Journal of Medicine Group. https://ai.nejm.org/doi/full/10.1056/AIoa2501293
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
Learning In Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework For Language Learning
Nicy Scaria, Silvester John Joseph Kennedy, Deepak Subramani. (07/2026). arXiv. https://arxiv.org/abs/2604.22770v2
Learning Behavior Accounts For Background-Related Advantage In AI-Assisted Education
Jingwei Yi, Yueqi Xie, Jiyan He, Rui Ye, Junming Huang, Bin Zhu, Sean Rintel, Yu Xie, Xing Xie, Fangzhao Wu. (07/2026). arXiv. https://arxiv.org/abs/2607.10101v1
Reflective Dialogue Or Prompt Refinement? Effects Of Tutor Scaffolding On Students' ndependent LLM Use For Programming
Jérôme Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez, Patrick Jermann, Francesco Mondada, Engin Bumbacher. (07/2026). arXiv. https://arxiv.org/abs/2607.03303v1
Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming
Jérôme Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez, Patrick Jermann, Francesco Mondada, Engin Bumbacher. (07/2026). arXiv. https://arxiv.org/abs/2607.03303v1
Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
Katharine E. Meyer, Lindsay C. Page, Catherine Mata, Eric Smith, Brendan Tyler Walsh, Candice L. Fifield, Michelle Tyson, Amy E. Eremionkhale, Michael Evans, Shelby Frost, Eye Eoun Jung. (07/2026). NBER. https://www.nber.org/papers/w35397?utm_campaign=ntwh&utm_medium=email&utm_sourc…

