ChatGPT / OpenAI GPT

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

Showing 61 - 90 of 1083 studies

INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

Rose Niousha, Minwoo Kang, Narges Norouzi. (08/2026). arXiv. https://arxiv.org/abs/2608.10492v2
Semantic Variability Of LLM-Generated Replies Across LLMs: Implications For Designing Conversation-Based Assessment

Jiangang Hao. (08/2026). arXiv. https://arxiv.org/abs/2608.24920v1
Making AI-Generated Feedback Matter: A Large-Scale Study Of Feedback Workflows And Student Enactment

Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Naomi Winstone, Dragan Gašević, Hassan Khosravi. (08/2026). arXiv. https://arxiv.org/abs/2608.11625v2
Probing AI-Generated Physics Solutions And Preparing Students To Critique Them

Nikhil Sanjay Borse, Amir Bralin, Sean Savage, N. Sanjay Rebello. (08/2026). arXiv. https://arxiv.org/abs/2608.12533v1
How Students (Really) Use ChatGPT: Uncovering Experiences Among Undergraduate Students

Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (08/2026). arXiv. https://arxiv.org/abs/2505.24126v5
Methodologies For Improving The Quality Of AI Tutoring In K-12 Education

Tushar Udeshi, Anna Khazenzon, Kabir Khan, Nick Breen, RJ Corwin, Chris DiGiano, Kodi Weatherholtz, Marek Zaluski. (08/2026). arXiv. https://arxiv.org/abs/2608.11259v1
From Retrieval To Synthesis: Repair Literacy And The Domestication Of Generative AI

Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella. (08/2026). arXiv. https://arxiv.org/abs/2601.20749v3
From Precision Medicine To Precision Education: A Vision For AI-Powered Student Digital Twins, Preventive Student Success, And Career-Aligned Academic Pathways

and Kaushik Dutta. (08/2026). arXiv. https://arxiv.org/abs/2608.06322v2
A Bottom-Up Taxonomy Of Student Discourse With A Socratic AI Physics Tutor

Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (08/2026). arXiv. https://arxiv.org/abs/2608.07373v1
Mapping The Emerging Curriculum For AI-Assisted Software Engineering Via Syllabus Analysis

Francis Geng, Anshul Shah, Mia Chen, Paul Denny, Juho Leinonen, Bill Griswold, Gerald Soosai Raj, Leo Porter. (08/2026). arXiv. https://arxiv.org/abs/2608.05898v1
Does Generative AI Narrow Education-Based Productivity Gaps? Evidence From A Randomized Experiment

Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani, Ramiro Galvez, Maria Lombardi. (08/2026). arXiv. https://arxiv.org/abs/2608.04198v1
Rethinking Generative AI Literacy: An Integrative, Developmental, And Dialectical Framework For K-12 Teacher Education

Shahin Hossain, Sima Ahmadi, Leqi Li, Idowu David Awoyemi, Wei Huang, Chenxi Zhou, Jujia Li, Samaa Haniya, Shapla Khanam, Tasbirun Mashreka Subaha. (08/2026). arXiv. https://arxiv.org/abs/2608.01705v1
Chat Debugging: An Exploratory Study Of Human-AI Collaboration To Debug Analog Circuits

John Hu, Andrew Ash. (08/2026). arXiv. https://arxiv.org/abs/2608.02955v1
Eduzone: A Framework For Evaluating LLM Safety For K-12 Students And Teachers

Junyeong Park, Jieun Han, Haneul Yoo, So-Yeon Ahn, Jinsung Yoon, Alice Oh. (08/2026). arXiv. https://arxiv.org/abs/2608.02024v1
Reflection-Satisfaction Tradeoff: Investigating Impact Of Reflection On Student Engagement With AI-Generated Programming Hints

Heeryung Choia, Tung Phungb, Mengyan Wu, Adish Singlab, Christopher Brooksa. (08/2026). arXiv. https://arxiv.org/abs/2512.04630v2
When LLM Essays Outscore Student Essays: What A Korean Writing Rubric Rewards And Where Readers Disagree

Shinwoo Park, Yo-Sub Han. (08/2026). arXiv. https://arxiv.org/abs/2601.19913v4
Can AI deliver appropriate support for diverse student profiles?: A large-scale evaluation

Sonsoles López-Pernas, Eduardo Araujo Oliveira, and Kamila Misiejuk, Fitsum Gizachew Deriba, Rogers Kaliisa, Mohammed Saqr. (08/2026). Computers in Human Behavior: Artifical Humans. https://pdf.sciencedirectassets.com/783247/1-s2.0-S2949882126X20023/1-s2.0-S294…
Is Solving Better Than Evaluating Genai Solutions?

Ethan Dickey, Marios Mertzanidis, Alexandros Psomas. (07/2026). arXiv. https://arxiv.org/abs/2607.27586v1
Agreement Is Not Quality: Blind Expert Verification Of Human And LLM Qualitative Coding When Human Consensus Is Not Ground Truth

Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2026). arXiv. https://arxiv.org/abs/2607.28890v1
What Remains Human In Mathematics In The Age Of AI

Amir Moradifam. (07/2026). arXiv. https://arxiv.org/abs/2607.28791v1
The Agency Gap In AI-Supported Writing: How Reactive And Proactive Agent Designs Shape Multimodal Reasoning

Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gašević, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2507.04398v3
Designing Needs- And Attention-Aware AI Learning Tools For Engineering Education: Insights From Psychological Outcomes

Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (07/2026). arXiv. https://arxiv.org/abs/2607.26338v1
Four Years Of Genai: How Educators And Industry Adapted Their Assessment Strategies

May Mahmoud, Nisa Shahid, Izah Sohail, Gulshan Sharma, Hanan Salam, Sarah Nadi. (07/2026). arXiv. https://arxiv.org/abs/2607.24246v2
Generative AI Availability, Grades, And Student Satisfaction At A Large University

James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv. https://arxiv.org/abs/2607.21534v2
Emergent Learner Agency In Implicit Human-AI Collaboration: How Supportive And Contrarian AI Personas Reshape Interaction

Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević, Xibin Han, Lixiang Yan. (07/2026). arXiv. https://arxiv.org/abs/2512.18239v3
A Framework For Developing University Policies On Generative AI Governance: A Cross-National Comparative Study

Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (07/2026). arXiv. https://arxiv.org/abs/2504.02636v3
Teachy Mini: Development And Preliminary Evaluation Of A Knowledge-Based Generative Social Robot For Higher Education

Stephan Vonschallen, Karim Kaufmann, Dominique Oberle, Friederike Eyssel, Theresa Schmiedel. (07/2026). arXiv. https://arxiv.org/abs/2607.22345v1
A Principled Way To Think About AI In Education: Guidance For Educators And Policy Makers On Action Based On Goals, Models Of Human Learning, And Use Of Technologies

Noah D. Finkelstein. (07/2026). arXiv. https://arxiv.org/abs/2510.01467v2
Generative AI And Agency In Education: A Critical Scoping Review And Thematic Analysis

Jasper Roe, Mike Perkins. (07/2026). arXiv. https://arxiv.org/abs/2411.00631v2
From Novelty To Normalisation: Tracking Changing Perceptions Of AI In Higher Education, 2024-2026

Juliana Gerard, Morgan Macleod, Kelly Norwood, Aisling Reid, Muskaan Singh. (07/2026). arXiv. https://arxiv.org/abs/2607.16223v2