Search and Filter
Submit a research study
Contribute to the repository:
Efficiency
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 511 - 540 of 560
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
Automating question generation from educational text
Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari. (09/2023). arXiv. http://arxiv.org/pdf/2309.15004v1
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
Application of ChatGPT in Higher Education and Research - A Futuristic Analysis
P. S. Aithal, Shubhrajyosna Aithal. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674364
Education in the age of Generative AI: Context and Recent Developments
Rafael Ferreira Mello, Elyda Freitas, Filipe Dwan Pereira, Luciano Cabral, Patricia Tedesco, Geber Ramalho. (08/2023). arXiv. http://arxiv.org/pdf/2309.12332v1
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors*
Tung Phung, Victor-Alexandru Padurean, Jose Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares. (08/2023). arXiv. http://arxiv.org/pdf/2306.17156v3
Let's Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
Sakib Shahriar, Kadhim Hayawi. (08/2023). arXiv. http://arxiv.org/pdf/2302.13817v4
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
Teachers' And Students' Perception Towards Integration Of Artificial Intelligence In School Curriculum: A Survey
Rini Mandal, Jayanta Mete. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544750
Experimental evidence on the productivity effects of generative artificial intelligence
Shakked Noy, Whitney Zhang. (07/2023). Science. https://www.science.org/doi/10.1126/science.adh2586
Use Scenarios & Practical Examples of AI Use in Education Briefing report No. 3 by the European Digital Education Hub's squad on artificial intelligence in education
Dara Cassidy, Yann-A‘l Le Borgne, Francisco Bellas, Riina Vuorikari, Elise Rondin, Madhumalti Sharma, Jessica Niewint-Gori, Johanna Gršppler, Anne Gilleran, Lidija Kralj. (07/2023). arXiv. https://arxiv.org/pdf/2309.12320
What Should Data Science Education Do with Large Language Models?
Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang. (07/2023). arXiv. http://arxiv.org/pdf/2307.02792v2
A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording. (07/2023). arXiv. http://arxiv.org/pdf/2308.02439v1
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
M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1:1 Instruction and Student Outcomes
Dorottya Demszky, Jing Liu. (07/2023). EdWorkingPapers. https://edworkingpapers.com/sites/default/files/ai23-759-v2.pdf
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
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
Rose E. Wang, Pawan Wirawarn, Noah Goodman, Dorottya Demszky. (06/2023). arXiv. http://arxiv.org/pdf/2306.09343v1
Computing Education in the Era of Generative AI
Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa. (06/2023). arXiv. http://arxiv.org/pdf/2306.02608v1
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
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Ana•s Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech. (06/2023). arXiv. http://arxiv.org/pdf/2306.06941v1
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan, Tianqi Pang, Chenyou Fan, Song Yu. (06/2023). arXiv. http://arxiv.org/pdf/2305.03433v2
Assigning AI: Seven Approaches For Students With Prompts
Dr. Ethan Mollick, Dr. Lilach Mollick. (06/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4475995
Scalable Educational Question Generation with Pre-trained Language Models
Sahan Bulathwela, Hamze Muse and Emine Yilmaz. (05/2023). arXiv. http://arxiv.org/pdf/2305.07871v1
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
The Utility of Large Language Models and Generative AI for Education Research
Andrew Katz, Umair Shakir, Benjamin Chambers. (05/2023). arXiv. https://arxiv.org/pdf/2305.18125
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kaylan. (05/2023). arXiv. http://arxiv.org/pdf/2305.14386v1
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models
Tung Phung, Jose Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Gustavo Soares. (04/2023). arXiv. http://arxiv.org/pdf/2302.04662v2
Comparing Code Explanations Created by Students and Large Language Models
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas. (04/2023). arXiv. http://arxiv.org/pdf/2304.03938v1
