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Impact – Quasi–experimental
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 211
Teachlm: Post-Training Llms For Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. https://arxiv.org/pdf/2510.05087
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
Accurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasia Ilick, Karen Poon, Richard Turner. (09/2025). arXiv. http://arxiv.org/pdf/2509.23484v1
Comparing Rag And Graphrag For Page-Level Retrieval Question Answering On Math Textbook
Eason Chen, Chuangji Li, Shizhuo Li, Zimo Xiao, Jionghao Lin, and Kenneth R. Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16780v2
Autoscore: Enhancing Automated Scoring With Multi-Agent Large Language Models Via Structured Component Recognition
Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai. (09/2025). arXiv. http://arxiv.org/pdf/2509.21910v1
Leveraging Generative Artificial Intelligence For Simulation-Based Physics Experiments: A New Approach To Virtual Learning About The Real World
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein. (09/2025). arXiv. http://arxiv.org/pdf/2509.22929v1
Enhancing Python Programming Education With An Ai-Powered Code Helper: Design, Implementation, And Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
Experimentally Testing Al-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
Classmind: Scaling Classroom Observation And Instructional Feedback With Multimodal Ai
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andrés F. Salazar-Gómez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.18020v1
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
Onlinemate: An Llm-Based Multi-Agent Companion System For Cognitive Support In Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv. http://arxiv.org/pdf/2509.14803v2
Ai Knows Best? The Paradox Of Expertise, Ai-Reliance, And Performance In Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16772v1
Socratic Mind: Impact Of A Novel Genai-Powered Assessment Tool On Student Learning And Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon. (09/2025). arXiv. http://arxiv.org/pdf/2509.16262v1
Musicscaffold: Bridging Machine Efficiency And Human Growth In Adolescent Creative Education Through Generative Ai
Zhejing Hu, Yan Liu, Zhi Zhang, Gong Chen, Bruce X.B. Yu, Junxian Li, Jiannong Cao. (09/2025). arXiv. http://arxiv.org/pdf/2509.10327v1
Prompting Strategies For Language Model-Based Item Generation In K-12 Education: Bridging The Gap Between Small And Large Language Models
Mohammad Amini, Babak Ahmadi, Xiaomeng Xiong, Yilin Zhang, Christopher Qiao. (08/2025). arXiv. http://arxiv.org/pdf/2508.20217v1
Skill-Based Explanations For Serendipitous Course Recommendation
Hung Chau, Run Yu, Zachary Pardos, Peter Brusilovsky. (08/2025). arXiv. http://arxiv.org/pdf/2508.19569v1
Mathbuddy: A Multimodal System For Affective Math Tutoring
Debanjana Kar, Leopold Boss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
Mab Optimizer For Estimating Math Question Difficulty Via Inverse Cv Without Nlp
Surajit Das, Gourav Roy, Aleksei Eliseev, Ram Kumar Rajendran. (08/2025). arXiv. http://arxiv.org/pdf/2508.19014v1
Detecting Struggling Student Programmers Using Proficiency Taxonomies
Noga Schwartz, Roy Fairstein, Avi Segal, Kobi Gal. (08/2025). arXiv. http://arxiv.org/pdf/2508.17353v1
Enabling Multi-Agent Systems As Learning Designers: Applying Learning Sciences To Ai Instructional Design
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper. (08/2025). arXiv. http://arxiv.org/pdf/2508.16659v1
Pappl: Personalized Ai-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv. http://arxiv.org/pdf/2508.14109v1
Cognitive Structure Generation: From Educational Priors To Policy Optimization
Hengnian Gu, Zhifu Chen, Yuxin Chen, Jin Peng Zhou, Dongdai Zhou. (08/2025). arXiv. http://arxiv.org/pdf/2508.12647v1
Human-In-The-Loop Systems For Adaptive Learning Using Generative Ai
Bhavishya Tarun, Haoze Du, Dinesh Kannan, Dr. Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.11062v1
Reflective Homework As A Learning Tool: Evidence From Comparing Thirteen Years Of Dual Vs. Single Submission
Madhur Dixit, Kavya Lalbahadur Joshi, Kaveri Bhalchandra Konde, Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.09314v1
Codae: Adapting Large Language Models For Education Via Chain-Of-Thought Data Augmentation
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Farber. (08/2025). arXiv. http://arxiv.org/pdf/2508.08386v1
From Cognitive Relief To Affective Engagement: An Empirical Comparison Of Ai Chatbots And Instructional Scaffolding In Physics Education
E. Becker, J. Wünsche, J. M. Veith, J. Schrader, and P. Bitzenbauer. (08/2025). arXiv. http://arxiv.org/pdf/2508.06254v1
Learning By Teaching: Engaging Students As Instructors Of Large Language Models In Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li. (08/2025). arXiv. http://arxiv.org/pdf/2508.05979v1
Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations And Enhancing Quality In Self-Regulated Learning Support
Keyang Qian, Shiqi Liu, Tongguang Li, Mladen Rakovic, Xinyu Li, Rui Guan, Inge Molenaar, Sadia Nawaz, Zachari Swiecki, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05929v1
Scalefeedback: A Large-Scale Dataset Of Synthetic Computer Science Assignments For Llm-Generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin,Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05953v1
Discerning Minds Or Generic Tutors? Evaluating Instructional Guidance Capabilities In Socratic Llms
Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv. http://arxiv.org/pdf/2508.06583v1
