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Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 361 - 390 of 401
Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT.
Holger Arndt. (02/2024). arXiv. http://arxiv.org/pdf/2402.15278v1
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai. (02/2024). arXiv. http://arxiv.org/pdf/2312.03748v2
Can Generative AI And ChatGPT Outperform Humans On Cognitive-Demanding Problem-Solving Tasks In Science?
Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma. (01/2024). arXiv. http://arxiv.org/pdf/2401.15081v1
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel. (01/2024). arXiv. http://arxiv.org/pdf/2401.10759v1
Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
Anishka, Atharva Mehta, Nipun Gupta, Aarav Balachandran, Dhruv Kumar, Pankaj Jalote. (01/2024). arXiv. http://arxiv.org/pdf/2312.07343v2
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja Mataric. (01/2024). arXiv. http://arxiv.org/pdf/2402.01647v1
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
Gyeong-Geon Lee, Xiaoming Zhai. (01/2024). arXiv. http://arxiv.org/pdf/2402.01674v1
Loneliness and suicide mitigation for students using GPT3-enabled chatbots
Bethanie Maples, Merve Cerit, Aditya Vishwanath, Roy Pea. (01/2024). Nature. https://www.nature.com/articles/s44184-023-00047-6
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
Alex Liu, Min Sun. (12/2023). arXiv. http://arxiv.org/pdf/2312.01202v1
Gemini Pro Defeated by GPT-4V: Evidence from Education
Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai. (12/2023). arXiv. http://arxiv.org/pdf/2401.08660v1
Implicit Bias in Large Language Models: Experimental Proof and Implications for Education
Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac. (11/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4625078
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing. (11/2023). arXiv. http://arxiv.org/pdf/2310.03184v2
Improving Teachers' Questioning Quality through Automated Feedback: A Mixed-Methods Randomized Controlled Trial in Brick-and-Mortar Classrooms
Dorottya Demszky, Jing Liu, Heather C. Hill, Shyamoli Sanghi, Ariel Chung. (11/2023). EdWorkingPapers. https://files.eric.ed.gov/fulltext/ED638993.pdf
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromir Savelka. (10/2023). arXiv. http://arxiv.org/pdf/2310.00658v1
The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts
Dorottya Demszky, Heather Hill. (10/2023). arXiv. https://arxiv.org/pdf/2211.11772
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman. (09/2023). arXiv. http://arxiv.org/pdf/2309.14049v1
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar El-Hassan, Junaid Qadir, Driss Benhaddou, Moussa Ayyash, Ala Al-Fuqaha. (09/2023). IEEE. https://ieeexplore.ieee.org/document/10247566
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu. (09/2023). arXiv. http://arxiv.org/pdf/2304.07666v2
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan, Hariharan Subramonyam. (09/2023). arXiv. http://arxiv.org/pdf/2309.14458v1
Understanding the Dynamics of ChatGPT Adoption Among Undergraduate Students: Dataset from a Philippine State University
Celbert M. Himanga, Samuel C. Villa Jr., Neljun E. Mayorga, Nelson F. Nolon, Gregorio P. Pajaron Jr., Engezbent M. Himang. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4489186
GPTeach: Interactive TA Training with GPT-based Students
Julia M. Markel, Steven G. Opferman, James A. Landay, Chris Piech. (07/2023). ACM Digital Library. https://dl.acm.org/doi/10.1145/3573051.3593393
On the application of Large Language Models for language teaching and assessment technology
Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, ¯istein Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery. (07/2023). arXiv. http://arxiv.org/pdf/2307.08393v1
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
Rose Wang, Dorottya Demszky. (06/2023). arXiv. http://arxiv.org/pdf/2306.03090v1
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
David James Woo, Kai Guo, Hengky Susanto. (06/2023). arXiv. http://arxiv.org/pdf/2307.05493v1
Alexa doesn't have that many feelings: Children's understanding of AI through interactions with smart speakers in their homes
Valentina Andries, Judy Robertson. (05/2023). arXiv. http://arxiv.org/pdf/2305.05597v1
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers
Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Kaser. (05/2023). arXiv. http://arxiv.org/pdf/2305.16851v1
Generative AI: Implications and Applications for Education
Anastasia Olga (Olnancy) Tzirides, Akash Saini, Gabriela Zapata, Duane Searsmith, Bill Cope, Mary Kalantzis, Vania Castro, Theodora Kourkoulou, John Jones, Rodrigo Abrantes da Silva, Jen Whiting, Nikoleta Polyxeni Kastania. (05/2023). arXiv. https://arxiv.org/pdf/2305.07605
AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays
Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch. (04/2023). arXiv. http://arxiv.org/pdf/2304.14276v1
How Useful are Educational Questions Generated by Large Language Models?
Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie C.K. Cheung. (04/2023). arXiv. http://arxiv.org/pdf/2304.06638v1
