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Impact – Randomized Controlled Trial
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 91
Learning Context: A Unified Framework And Roadmap For Context-Aware Ai In Education
Naiming Liu, Brittany Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard Baraniuk. (01/2026). arXiv. https://arxiv.org/pdf/2512.24362v2
Llm-Based Multimodal Feedback Produces Equivalent Learning And Better Student Perceptions Than Educator Feedback
Chloe Qianhui Zhao, Jionghao Lin, Jie Cao, Kenneth R. Koedinger. (01/2026). arXiv. https://arxiv.org/pdf/2601.15280v1
Ai Skills Improve Job Prospects: Causal Evidence From A Hiring Experiment
Fabian Stephany, Ole Teutloff, Angelo Leone. (01/2026). arXiv. https://arxiv.org/pdf/2601.13286v1
When Peers Outperform Ai (And When They Don'T): Interaction Quality Over Modality
Caitlin Morris, Pattie Maes. (01/2026). arXiv. https://arxiv.org/pdf/2601.11777v1
Your Brain On Chatgpt: Accumulation Of Cognitive Debt When Using An Ai Assistant For Essay Writing Task
Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beresnitzky, Iris Braunstein, Pattie Maes. (12/2025). arXiv. https://arxiv.org/pdf/2506.08872v2
The Social Blindspot In Human-Ai Collaboration: How Undetected Ai Personas Reshape Team Dynamics
Lixiang Yan, Xibin Han, Yu Zhang, Samuel Greiff, Inge Molenaar, Yizhou Fan, Roberto Martinez-Maldonado, Linxuan Zhao, Xinyu Li, Yueqiao Jin and Dragan Gasevic. (12/2025). arXiv. https://arxiv.org/pdf/2512.18234v1
Embedding-Based Rankings Of Educational Resources Based On Learning Outcome Alignment: Benchmarking, Expert Validation, And Learner Performance
Mohammadreza Molavi, Mohammad Moein, Mohammadreza Tavakoli, Abdolali Faraji, Stefan T. Mol, Gabor Kismihok. (12/2025). arXiv. https://arxiv.org/pdf/2512.13658v1
Flora: An Advanced AI-Powered Engine To Facilitate Hybrid Human-AI Regulated Learning
Xinyu Li, Tongguang Li, Lixiang Yan, Yuheng Li, Linxuan Zhao, Mladen Rakovic, Inge Molenaar, Dragan Gasevic, Yizhou Fan. (12/2025). arXiv. https://arxiv.org/abs/2507.07362v3
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With Ai-Generated Programming Hints
Heeryung Choia, Tung Phungb, Mengyan Wuª, Adish Singlab, Christopher Brooksa. (12/2025). arXiv. https://arxiv.org/abs/2512.04630v1
Ai Tutoring Enhances Student Learning Without Crowding Out Reading Effort
Mira Fischer, Holger A. Rau, Rainer Michael Rilke. (12/2025). IZA Institute of Labor Economics. https://docs.iza.org/dp18338.pdf
Pacee: Supporting Children'S Personal Emotion Education Through Parent-Ai Collaboration
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (11/2025). arXiv. https://arxiv.org/abs/2511.14414v2
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dora Demszky. (11/2025). EdWorkingPapers. https://edworkingpapers.com/ai24-1054
Examining The Usage Of Generative Ai Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (11/2025). arXiv. https://arxiv.org/abs/2511.13271v1
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
Ai Tutoring Can Safely And Effectively Support Students: An Exploratory Rct In Uk Classrooms
LearnLM Team, Google & Eedi. (11/2025). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_nov25.pdf
Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates. (11/2025). Computers & Education. https://www.sciencedirect.com/science/article/pii/S0360131525002829
Improving Human Verification Of Llm Reasoning Through Interactive Explanation Interfaces
Runtao Zhou, Anh Totti Nguyen, Giang Nguyen, Nikita Kharya, Chirag Agarwal. (10/2025). arXiv. https://arxiv.org/abs/2510.22922v2
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. (10/2025). arXiv. https://arxiv.org/abs/2510.24893v1
Directive, Metacognitive Or A Blend Of Both? A Comparison Of Ai-Generated Feedback Types On Student Engagement, Confidence, And Outcomes
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Omid Noroozi, Dragan Gasevic, Marie Boden, Hassan Khosravi. (10/2025). arXiv. http://arxiv.org/abs/2510.19685v1
The Agency Gap: How Generative Ai Literacy Shapes Independent Writing After Ai Support
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan. (10/2025). arXiv. http://arxiv.org/abs/2507.04398v2
Impact Of Ai Tools On Learning Outcomes: Decreasing Knowledge And Over-Reliance
M√°rton Benedek, Bal√°zs R. Sziklai. (10/2025). arXiv. http://arxiv.org/abs/2510.16019v1
Personalized Learning Path Planing Through Goal-Driven Learner State Modeling
Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu. (10/2025). arXiv. http://arxiv.org/abs/2510.13215v1
Experimental Evidence Of The Effects Of Large Language Models Versus Web Search On Depth Of Learning
Shiri Melumad, Jin Ho Yun. (10/2025). PNAS Nexus. https://academic.oup.com/pnasnexus/article/4/10/pgaf316/8303888
Investigating Students' Preferences For Ai Roles In Mathematical Modelling: Evidence From A Randomized Controlled Trial
Wangda Zhu, Guang CHEN, Yumeng Zhu, Lei Cai, Xiangen Hu. (10/2025). arXiv. http://arxiv.org/abs/2510.06617v1
Towards An Ai-Augmented Textbook
LearnLM Team. (09/2025). arXiv. http://arxiv.org/abs/2509.13348v4
Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Education
Yuchen Wang, Pei-Duo Yu, Chee Wei Tan. (09/2025). arXiv. http://arxiv.org/pdf/2509.23996v1
A Meta-Analysis Of LLM Effects On Students Across Qualification, Socialization, And Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/pdf/2509.22725v1
Experimentally Testing AI-Powered Content Transformations on Student Learning
Courtney Heldreth, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Diana Akrong, Lidan Hackmon, Lior Belinsky. (09/2025). arXiv. http://arxiv.org/pdf/2509.18664v1
Generative AI alone may not be enough: Evaluating AI Support for Learning Mathematical Proof
Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yi Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16778v1
An Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
