Breadcrumb
- Home
- AI Hub For Education
- Research Study Repository
- Impact – Randomized Controlled Trial
Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Impact – Randomized Controlled Trial
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 143
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…
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
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…
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
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
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
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…
Exploring The Value Of Diverse LLM Explanations In Introductory Programming
Seth Bernstein, Paul Denny, Juho Leinonen, Kush Patel, Rayhona Nasimova, Matt Littlefield, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.28882v1
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng, Cinoo Lee, Rebecca Anselmetti, Robb Willer, Luc Rocher, Diyi Yang. (06/2026). arXiv. https://arxiv.org/abs/2605.07912
Do Gains From Generative AI-Enabled Adaptive Pretesting Persist? Evidence From A Retention Study
Mahir Akgun, Sacip Toker. (06/2026). arXiv. https://arxiv.org/abs/2606.22328v1
Access is Not Enough: Human Support Improves Engagement with AI Tutoring
Carly D. Robinson, David Gormley, Ana Trindade Ribeiro, Susanna Loeb. (06/2026). EdWorking Papers. https://edworkingpapers.com/sites/default/files/ai26-1451.pdf
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. (06/2026). arXiv. https://arxiv.org/abs/2606.20138v1
Contaminated Collaboration: Measuring Gender Bias Transfer In LLM-Assisted Student Writing
Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque. (06/2026). arXiv. https://arxiv.org/abs/2606.15914v1
From Planning To Revision: How AI Writing Support At Different Stages Alters Ownership
Katy Ilonka Gero, Tao Long, Carly Schnitzler, Paramveer S. Dhillon. (06/2026). arXiv. https://arxiv.org/abs/2604.11009v2
Intelicit: Eliciting And Assessing Contextualized Creativity Via Dialogue Policy Optimization
Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo. (06/2026). arXiv. https://arxiv.org/abs/2606.12086v1
Examining The Usage Of Generative AI Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (06/2026). arXiv. https://arxiv.org/abs/2511.13271v2
The Role Of Instructional Guidance In Generative AI-Assisted Learning: Empirical Evidence From Construction Engineering Education
Xiaoyu Hou, Bo Xiao, Hexu Liu, Shane Mueller. (06/2026). arXiv. https://arxiv.org/abs/2606.05509v1
AI Assistance For Discretionary Work: Increasing Feedback Provision In Higher Education
ROMINA MAHINPEI, VICTORIA DEAN, RUTH FONG, LYDIA T. LIU, MANOEL HORTA RIBEIRO. (06/2026). arXiv. https://arxiv.org/abs/2606.03095v1
Access Timing As Scaffolding: A Reinforcement Learning Approach To Genai In Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hern√°ndez-Leo. (05/2026). arXiv. https://arxiv.org/abs/2605.15850v2
The Hidden Cost Of Contextual Sycophancy: An AI Literacy Intervention In Human-AI Collaboration
Cansu Koyuturk, Sabrina Guidotti, Dimitri Ognibene. (05/2026). arXiv. https://arxiv.org/abs/2605.18372v2
Generative AI And The Productivity Divide: Human AI Complementarities In Education And Knowledge Work (Working Paper)
Bharat Anand, Lihi Idan. (05/2026). arXiv. https://arxiv.org/abs/2605.18143v1
Teaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone
LearnLM Team, Google & Fab AI. (05/2026). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_sierraleone_may26…
Can Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?
Anahita Golrang, Kshitij Sharma. (05/2026). arXiv. https://arxiv.org/abs/2605.05836v1
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

