ChatGPT / OpenAI GPT

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

Showing 451 - 480 of 1083 studies

Scaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents

Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv. https://arxiv.org/abs/2511.11772v2
Chatgpt As A Cognitive Crutch: Evidence From A Randomized Controlled Trial On Knowledge Retention

Andre Barcaui. (11/2025). Social Sciences & Humanities Open. https://www.sciencedirect.com/science/article/pii/S2590291125010186
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications

Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
Magma-Edu: Multi-Agent Generative Multimodal Framework For Text-Diagram Educational Question Generation

Zhenyu Wu, Jian Li, Hua Huang. (11/2025). arXiv. https://arxiv.org/abs/2511.18714v1
Exploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective

Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv. https://arxiv.org/abs/2504.09004v3
Scaling Item-To-Standard Alignment With Large Language Models: Accuracy, Limits, And Solutions

Farzan Karimi-Malekabadi, Pooya Razavi, Sonya Powers. (11/2025). arXiv. https://arxiv.org/abs/2511.19749v1
Llms4All: A Review Of Large Language Models Across 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, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Enhancing Large Language Models For Automated Homework Assessment In Undergraduate Circuit Analysis

Liangliang Chen, Huiru Xie, Zhihao Qin, Yiming Guo, Jacqueline Rohde, Ying Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.18221v1
Edumod-Llm: A Modular Approach For Designing Flexible And Transparent Educational Assistants

Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2511.21742v1
Liberating Logic In The Age Of Ai: Going Beyond Programming With Computational Thinking

Douglas C. Schmidt, Dan Runfola. (11/2025). arXiv. https://arxiv.org/abs/2511.17696v1
Principled Design Of Interpretable Automated Scoring For Large-Scale Educational Assessments

Yunsung Kim, Michael Hardy, Joseph Tey, Candace Thille, Chris Piech. (11/2025). arXiv. https://arxiv.org/abs/2511.17069v1
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation

Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes

Matthew Nyaaba, Lehong Shi, Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Writing With Machines And Peers: Designing For Critical Engagement With Generative Ai

Xinran Zhu, Cong Wang, Duane Searsmith. (11/2025). arXiv. https://arxiv.org/abs/2511.15750v1
Exploration Of Summarization By Generative Language Models To Enhance Automated Scoring Of Long Essays

Haowei Hua, Hong Jiao, Xinyi Wang. (11/2025). arXiv. https://arxiv.org/abs/2510.22830v4
Build Ai Assistants Using Large Language Models And Agents To Enhance The Engineering Education Of Biomechanics

Hanzhi Yan, Qin Lu, Xianqiao Wang, Xiaoming Zhai, Tianming Liu, He Li. (11/2025). arXiv. https://arxiv.org/abs/2511.15752v1
Enabling Blind And Visually Impaired Individuals To Pursue Careers In Science

Petitdemange, Ludovic, Nashed, Salomé. (11/2025). arXiv. https://arxiv.org/abs/2511.17620v1
Magic: Multi-Agent Argumentation And Grammar Integrated Critiquer

Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2506.13037v2
Exploring The Use Of Chatgpt By Computer Science Students In Software Development: Applications, Ethical Considerations, And Insights For Engineering Education

Xu, Daihan, Martin, Diana. (11/2025). arXiv. https://arxiv.org/abs/2511.13996v1
Explain With Visual Keypoints Like A Real Mentor! A Benchmark For Multimodal Solution Explanation

Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu. (11/2025). arXiv. https://arxiv.org/abs/2504.03197v4
Educators On The Frontline: Philosophical And Realistic Perspectives On Integrating Chatgpt Into The Learning Space

Surajit Das, Peu Majumder, Aleksei Eliseev. (11/2025). arXiv. https://arxiv.org/abs/2511.11960v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education

Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
How Physics Professors Use And Frame Generative Ai Tools

Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
Bridging The Skills Gap: A Course Model For Modern Generative Ai Education

Anya Bardach, Hamilton Murrah. (11/2025). arXiv. https://arxiv.org/abs/2511.11757v1
Owlgorithm: Supporting Self-Regulated Learning In Competitive Programming Through Llm-Driven Reflection

Juliana Nieto-Cardenas, Erin Joy Kramer, Peter Kurto, Ethan Dickey, Andres Bejarano. (11/2025). arXiv. https://arxiv.org/abs/2511.09969v1
Slidebot: A Multi-Agent Framework For Generating Informative, Reliable, Multi-Modal Presentations

Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.09804v1
Understanding Human-Ai Trust In Education

Griffin Pitts, Sanaz Motamedi. (11/2025). arXiv. https://arxiv.org/abs/2506.09160v4
Uco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models

Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.08873v1
Autosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search

Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv. https://arxiv.org/abs/2511.09488v1
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 Tjønn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2