ChatGPT / OpenAI GPT

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

Showing 781 - 810 of 1083 studies

STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation

Aniket Deroy, Subhankar Maity. (04/2025). arXiv. https://arxiv.org/pdf/2504.05693v1
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study

Conrad Borchers, Tianze Shou. (04/2025). arXiv. https://arxiv.org/pdf/2504.05570v1
Multilingual Performance Biases of Large Language Models in Education

Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). arXiv. https://arxiv.org/pdf/2504.17720v1
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions

Ali Alfageeh, Sadegh Almahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour. (04/2025). arXiv. https://arxiv.org/pdf/2504.18691v1
Artificial Intelligence Generates Stereotypical Images of Scientists but Can Also Detect Them: A Pilot Study Using the Draw-A-Scientist Test

Gyeonggeon Lee. (04/2025). arXiv. https://arxiv.org/pdf/2504.19005v1
Evolution of AI in Education: Agentic Workflows

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education

Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello. (04/2025). arXiv. https://arxiv.org/pdf/2504.04815v1
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students

Audrey Zhang, Yifei Gao, Wannapon Suraworachet, Tanya Nazaretsky, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.10961v1
Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines

Cansu Koyuturk, Emily Theophilou, Sabrina Patania, Gregor Donabauer, Andrea Martinenghi, Chiara Antico, Alessia Telari, Alessia Testa, Sathya Bursic, Franca Garzotto, Davinia Hernandez-Leo, Udo Kruschwitz, Davide Taibi, Simona Amenta, Martin Ruskov, Dimitri Ognibene. (04/2025). arXiv. https://arxiv.org/pdf/2504.07840v1
EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework

Yao Shi, Rongkeng Liang, Yong Xu. (04/2025). arXiv. https://arxiv.org/pdf/2504.14928v1
Large Language Models Will Change The Way Children Think About Technology And Impact Every Interaction Paradigm

Russell Beale. (04/2025). arXiv. https://arxiv.org/pdf/2504.13667v1
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education - A Comparative Analysis

Shawon Sarkar, Min Sun, Alex Liu, Zewei Tian, Lief Esbenshade, Zachary Zhang, Jian He. (04/2025). arXiv. https://arxiv.org/pdf/2504.05449v1
Does ChatGPT Enhance Student Learning? A Systematic Review And Meta-Analysis Of Experimental Studies

Ruiqi Deng, Maoli Jiang, Xinlu Yu, Yuyan Lu, Shasha Liu. (04/2025). Computers and Education . https://www.sciencedirect.com/science/article/pii/S0360131524002380
Young Children's Anthropomorphism Of An Ai Chatbot: Brain Activation And The Role Of Parent Co-Presence

Pilyoung Kim. (03/2025). arXiv. https://arxiv.org/abs/2512.02179
How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges

Minju Yoo, Hyoungwook Jin, Juho Kim. (03/2025). arXiv. https://arxiv.org/pdf/2503.00967
PAD: Personalized Alignment of LLMS At Decoding-Time

Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu. (03/2025). arXiv. http://arxiv.org/pdf/2410.04070v6
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports

Eduardo Davalos, Yike Zhang, Namrata Srivastaval, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin. (03/2025). arXiv. https://arxiv.org/pdf/2503.02099
AI Meets the Classroom: When Do Large Language Models Harm Learning?

Matthias Lehmann, Philipp Benjamin Cornelius, Fabian J. Sting. (03/2025). arXiv. https://arxiv.org/pdf/2409.09047
Evaluating LLMs for Automated Scoring in Formative Assessments

Pedro C. Mendonça, Filipe Quintal, Fábio Mendonça. (03/2025). Applied Sciences. https://doi.org/10.3390/app15052787?urlappend=%3Futm_source%3Dresearchgate.net%…
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development

Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz, Martin Ruskov. (03/2025). arXiv. https://arxiv.org/pdf/2503.02532
First-Person Fairness in Chatbots

Tyna Eloundou, Anna-Luisa Brakman, Alex Beutel, David G. Robinson, Pamela Mishkin, Meghan Shah, Keren Gu-Lemberg, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai. (03/2025). arXiv. https://arxiv.org/pdf/2410.19803
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education

Emma Harvey, Allison Koenecke, Rene F. Kizilcec. (02/2025). arXiv. https://arxiv.org/pdf/2502.14592v1
Event Segmentation Applications In Large Language Model Enabled Automated Recall Assessments

Ryan A. Panela, Alexander J. Barnett, Morgan D. Barense, Bjornn Herrmann. (02/2025). arXiv. https://arxiv.org/pdf/2502.13349
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models

Jiamin Su, Yibo Yan, Fangteng Fu, Han Zhang, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu. (02/2025). arXiv. https://arxiv.org/pdf/2502.11916
EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces

Ghulam Mujtaba, Sunder Ali Khowaja, Kapal Dev. (02/2025). arXiv. https://arxiv.org/pdf/2503.00092
Autograding Mathematical Induction Proofs with Natural Language Processing

Chenyan Zhao, Mariana Silva, Seth Poulsen. (02/2025). arXiv. http://arxiv.org/pdf/2406.10268v2
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors

Kaushal Kumar Maurya, KV Aditya Srivatsa, Kseniia Petukhova, Ekaterina Kochmar. (02/2025). arXiv. https://arxiv.org/pdf/2412.09416
Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty*

Yoshee Jain, John Hollander, Amber He, Sunny Tang, Liang Zhang, John Sabatini. (02/2025). arXiv. https://arxiv.org/pdf/2502.17785
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education

Yi-Fan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen. (02/2025). arXiv. https://arxiv.org/pdf/2502.13789
Improve LLM-based Automatic Essay Scoring with Linguistic Features

Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li. (02/2025). arXiv. https://arxiv.org/pdf/2502.09497