ChatGPT / OpenAI GPT

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

Showing 541 - 570 of 1083 studies

Edumath: Generating Standards-Aligned Educational Math Word Problems

Bryan R. Christ, Penelope Molitz, Jonathan Kropko, Thomas Hartvigsen. (10/2025). arXiv. http://arxiv.org/abs/2510.06965v1
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
From Handwriting To Feedback: Evaluating Vlms And Llms For Ai-Powered Assessment In Indonesian Classrooms

Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (10/2025). arXiv. http://arxiv.org/abs/2506.04822v2
Exploring Teachers' Perceptions Of Chatgpt Through Prompt Engineering

Dimitrios Gousopoulos. (10/2025). arXiv. http://arxiv.org/abs/2510.08634v1
Eduverse: A User-Defined Multi-Agent Simulation Space For Education Scenario

Yiping Ma, Shiyu Hu, Buyuan Zhu, Yipei Wang, Yaxuan Kang, Shiqing Liu, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.05650v1
Seeing The Big Picture: Evaluating Multimodal Llms ¬∫ Ability To Interpret And Grade Handwritten Student Work

Owen Henkel, Bill Roberts, Doug Jaffe, Laurence Holt. (10/2025). arXiv. http://arxiv.org/abs/2510.05538v1
Visiomath: Benchmarking Figure-Based Mathematical Reasoning In Lmms

Can Li, Ying Liu, Ting Zhang, Mei Wang, Hua Huang. (10/2025). arXiv. http://arxiv.org/abs/2506.06727v3
Teachlm: Post-Training Llms For Education Using Authentic Learning Data

Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. http://arxiv.org/abs/2510.05087v1
Chrysalis: A Unified System For Comparing Active Teaching And Passive Learning With Ai Agents In Education

Prashanth Arun, Vinita Vader, Erya Xu, Brent McCready-Branch, Sarah Seabrook, Kyle Scholz, Ana Crisan, Igor Grossmann, Pascal Poupart. (10/2025). arXiv. http://arxiv.org/abs/2510.05271v1
Seephys: Does Seeing Help Thinking? Benchmarking Vision-Based Physics Reasoning

Kun Xiang, Heng Li, Terry Jingchen Zhang, Yinya Huang, Zirong Liu, Peixin Qu, Jixi He, Jiaqi Chen, Yu-Jie Yuan, Jianhua Han, Hang Xu, Hanhui Li, Mrinmaya Sachan, Xiaodan Liang. (10/2025). arXiv. http://arxiv.org/abs/2505.19099v8
Edupersona: Benchmarking Subjective Ability Boundaries Of Virtual Student Agents

Buyuan Zhu, Shiyu Hu, Yiping Ma, Yuanming Zhang, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.04648v1
Beyond The Benefits: A Systematic Review Of The Harms And Consequences Of Generative Ai In Computing Education

Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil. (10/2025). arXiv. http://arxiv.org/abs/2510.04443v1
Can an AI-Powered Presentation Platform Based On The Game "Just a Minute" Be Used To Improve Students' Public Speaking Skills?

Frederic Higham, Tommy Yuan. (10/2025). arXiv. http://arxiv.org/abs/2510.03379v1
Editlens: Quantifying The Extent Of Ai Editing In Text

Katherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer. (10/2025). arXiv. http://arxiv.org/abs/2510.03154v1
Excited, Skeptical, Or Worried? A Multi-Institutional Study Of Student Views On Generative Ai In Computing Education

Isaac Alpizar-Chacon, Hieke Keuning, Imke de Jong, Ioanna Lykourentzou, Susan Rings. (10/2025). arXiv. http://arxiv.org/abs/2510.03107v1
Defining A Strategic Action Plan For Ai In Higher Education¬¨Œ†

Nikolaos Avouris. (10/2025). arXiv. http://arxiv.org/abs/2510.03343v1
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…
Ai In Data Science Education: Experiences From The Classroom

J.A. Hageman, C.F.W. Peeters. (10/2025). arXiv. http://arxiv.org/abs/2510.00793v1
Code2Video: A Code-Centric Paradigm For Educational Video Generation

Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou. (10/2025). arXiv. http://arxiv.org/abs/2510.01174v1
Help Or Hype? Students' Engagement And Perception Of Using Ai To Solve Physics Problems

Qurat-ul-Ann Mirza, N. Sanjay Rebello. (09/2025). arXiv. http://arxiv.org/abs/2509.25642v1
Discovering Self-Regulated Learning Patterns In Chatbot-Powered Education Environment

Yilin Lyu, Ren Ding. (09/2025). arXiv. http://arxiv.org/abs/2510.01275v1
A Meta-Analysis Of Llm Effects On Students Across Qualification, Socialisation, 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/abs/2509.22725v2
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
LLMS4ALL: A Review On Large Language Models For Research And Applications In Academic Disciplines

Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
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
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
Leveraging Large Language Models for Robot-Assisted Learning of Morphological Structures in Preschool Children with Language Vulnerabilities

Stina Sundstedt, Mattias Wingren, Susanne Hagglund, Daniel Ventus. (09/2025). arXiv. http://arxiv.org/pdf/2509.22287v1
Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study

Sven Jacobs, Jan Haas, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.22974v1
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
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