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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 639
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dorottya Demszky. (11/2025). EdWorkingPapers.com. https://edworkingpapers.com/ai24-1054
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
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
Evaluating Undergraduate Mathematics Examinations In The Era Of Generative Ai: A Curriculum-Level Case Study
BENJAMIN J. WALKER, NIKOLETA KALAYDZHIEVA, BEATRIZ NAVARRO LAMEDA, RUTH A. REYNOLDS. (09/2025). arXiv. http://arxiv.org/pdf/2509.13359v3
Anveshanaai: A Multimodal Platform For Adaptive Ai/Ml Education Through Automated Question Generation And Interactive Assessment
Rakesh Thakur, Diksha Khandelwal, Shreya Tiwari. (09/2025). arXiv. http://arxiv.org/pdf/2509.23811v1
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
From Frustration To Fun: An Adaptive Problem-Solving Puzzle Game Powered By Genetic Algorithm
Matthew McConnell, Richard Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.23796v1
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
Draftmarks: Enhancing Transparency In Human-Ai Co-Writing Through Interactive Skeuomorphic Process Traces
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam. (09/2025). arXiv. http://arxiv.org/pdf/2509.23505v1
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (09/2025). arXiv. http://arxiv.org/pdf/2509.21972v1
Leveraging Large Language Models For Robot-Assisted Learning Of Morphological Structures In Preschool Children With Language Vulnerabilities
Stina Sundstedt, Mattias Wingren, Susanne Hägglund, Daniel Ventus. (09/2025). arXiv. http://arxiv.org/pdf/2509.22287v1
Ai Ethics Education In India: A Syllabus-Level Review Of Computing Courses
Anshu M Mittal, PD Parthasarathy, Swaroop Joshi. (09/2025). arXiv. http://arxiv.org/pdf/2509.22329v1
Malaysia'S Ai-Driven Education Landscape: Policies, Applications, And Comparative Insights For A Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin. (09/2025). arXiv. http://arxiv.org/pdf/2509.21858v1
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
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
Developing Strategies To Increase Capacity In Ai Education
Noah Q. Cowit, Sri Yash Tadimalla, Stephanie T. Jones, Mary Lou Maher, Tracy Camp, Enrico Pontelli. (09/2025). arXiv. http://arxiv.org/pdf/2509.21713v1
Analysis Of Instruction-Based Llms' Capabilities To Score And Judge Text-Input Problems In An Academic Setting
Valeria Ramirez-Garcia, David de-Fitero-Dominguez, Antonio Garcia-Cabot, Eva Garcia-Lopez. (09/2025). arXiv. http://arxiv.org/pdf/2509.20982v1
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
The Ai Literacy Heptagon: A Structured Approach To Ai Literacy In Higher Education
Veronika Hackl, Alexandra Elena Müller, Maximilian Sailer. (09/2025). arXiv. http://arxiv.org/pdf/2509.18900v1
Al Academy: Building Generative Al Literacy In Higher Ed Instructors
Si Chen, Xiuxiu Tang, Alison Cheng, Nitesh Chawla, G. Alex Ambrose, Ronald Metoyer. (09/2025). arXiv. http://arxiv.org/pdf/2509.11999v2
Bringing Pedagogy Into Focus: Evaluating Virtual Teaching Assistants' Question-Answering In Asynchronous Learning Environments
Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu. (09/2025). arXiv. http://arxiv.org/pdf/2509.17961v1
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
Investigating Bias: A Multilingual Pipeline For Generating, Solving, And Evaluating Math Problems With Llms
Mariam Mahran, Katharina Simbeck. (09/2025). arXiv. http://arxiv.org/pdf/2509.17701v1
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
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
From Service-Oriented Computing To Metaverse Services: A Framework For Inclusive And Immersive Learning For Neurodivergent Students
Rachid Hamadi, Abdelmounaam Rezgui, Ali Darejeh. (09/2025). arXiv. http://arxiv.org/pdf/2509.15545v1
Comparative Analysis Of Stem And Non-Stem Teachers' Needs For Integrating Ai Into Educational Environments
Bahare Riahi, Veronica Cateté. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
Deliverc: Teaching Pointers Through Genai-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, and Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
