Randomized controlled trial

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 31 - 60 of 128 studies

Comparing Teacher And AI-Generated Feedback In The Writing Classroom: Experimental Results From Secondary School Classrooms

Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf Köller, Rene F. Kizilcec, Thorben Jansen. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811602
LLM-Generated Summaries For Teachers: A Randomized Field Experiment In A Digital Learning Platform

Wen-Chiang Lim, Eamon Worden, Adam Sales, Neil Heffernan. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811606
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
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
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
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
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
Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity

Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin, Huseyin Kayhan. (06/2026). Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-032-29770-9_62
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…
Hint-Writing With Deferred AI Assistance: Fostering Critical Engagement In Data Science Education

Anjali Singh, Christopher Brooks, Warren Li, Juho Kim, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2604.19931v1
Enhancing School Students’ Self-Regulated Learning through Generative AI Support: A Randomized Controlled Trial

Tim Fütterer, Lisa Bardach, Jochen Kuhn, Stefan Daniel Keller, Peter Gerjets. (04/2026). Educational Physcology Review. https://link.springer.com/article/10.1007/s10648-026-10133-8
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning

Jie Cao, Chloe Qianhui Zhao, Christian D. Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv. https://arxiv.org/abs/2604.07469v2
AI-Supported Data Analysis Boosts Student Motivation And Reduces Stress In Physics Education

Jannik Henze, Julia Lademann, Sebastian Becker-Genschow, André Bresges. (04/2026). arXiv. https://arxiv.org/abs/2412.20951v2
Agora: Teaching The Skill Of Consensus-Finding With AI Personas Grounded In Human Voice

Prerna Ravi, Om Gokhale, Suyash Pradeep Fulay, Eugene Yi, Deb Roy, Michiel Bakker. (04/2026). arXiv. https://arxiv.org/abs/2603.07339v3
AI Assistance Reduces Persistence and Hurts Independent Performance

Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel Bakker, Rachit Dubey. (04/2026). arXiv. https://arxiv.org/abs/2604.04721
Same Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education

Caitlin Morris, Pattie Maes. (04/2026). arXiv. https://arxiv.org/abs/2604.03075v1
Beyond The AI Tutor: Social Learning With LLM Agents

Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv. https://arxiv.org/abs/2604.02677v1
Impact Of Multimodal And Conversational AI On Learning Outcomes And Experience

Karan Taneja, Anjali Singh, Ashok Kumar Goel. (04/2026). arXiv. https://arxiv.org/abs/2604.02221v1
Evaluating A Data-Driven Redesign Process For Intelligent Tutoring Systems

Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven. (03/2026). arXiv. https://arxiv.org/abs/2603.29094v1
Shaping Credibility Judgments In Human-Genai Partnership Via Weaker LLMs: A Transactive Memory Perspective On AI Literacy

Md Touhidul Islam, Mahir Akgun, Syed Billah. (03/2026). arXiv. https://arxiv.org/abs/2603.26522v1
Practicing With Language Models Cultivates Human Empathic Communication

Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning

Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
The Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform

Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER. https://www.nber.org/papers/w34950
AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course

Xinyi Lu, Kexin Phyllis Ju, Mitchell Dudley, Larissa Sano, Xu Wang. (02/2026). arXiv. https://arxiv.org/abs/2602.16820
Transforming Genai Policy To Prompting Instruction: An Rct Of Scalable Prompting Interventions In A Cs1 Course

Ruiwei Xiao, Runlong Ye, Xinying Hou, Jessica Wen, Harsh Kumar, Michael Liut, John Stamper. (02/2026). arXiv. https://arxiv.org/pdf/2602.16033v1
Efficiency Without Cognitive Change: Evidence From Human Interaction With Narrow AI Systems

María Angélica Benítez, Rocío Candela Ceballos, Karina Del Valle, Mundo Araujo Sofía, Sofía Evangelina Victorio Villaroel, Nadia Justel. (02/2026). arXiv. https://arxiv.org/pdf/2510.24893v2
AI-Based Verbal And Visual Scaffolding In A Serious Game: Effects On Learning And Cognitive Load

Caroline Wermann, Karina E. Avila, Sebastian Andre, Julia C. Draeger, Alvar Goetze, Jochen Kuhn, Maite Maurer, Sascha Mehlhase, Nikola Merkas, Fabian Schrodt, Stefan Küchemann. (02/2026). arXiv. https://arxiv.org/pdf/2602.08893v1