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Post-Secondary
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1051 - 1080 of 1108
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
ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
Tanuj Kumar, Mikhail A. Kats. (09/2023). arXiv. http://arxiv.org/pdf/2309.08881v1
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
Generativism: the new hybrid
B. Mairead Pratschke. (09/2023). arXiv. http://arxiv.org/pdf/2309.12468v1
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
AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education
Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner. (08/2023). arXiv. https://arxiv.org/pdf/2308.03992
A Framework For Responsible Ai Education: A Working Paper
Caitlin M. Bentley, Christine Aicardi, Sammia C. Poveda, Leonardo Magela Cunha, David Kohan Marzagao, Richard Glover, Eryn Rigley, Simon Walker, Martin Compton, Oguz A. Acar. (08/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4544010
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
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
Cansu Koyuturk, Mona Yavari, Emily Theophilou, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Alessandro Gabbiadini, Davinia Hernandez-Leo, Martin Ruskov, Dimitri Ognibene. (08/2023). arXiv. http://arxiv.org/pdf/2306.10645v2
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
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
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
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
GPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou. (07/2023). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2666389923001307
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
Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Paul Denny, Juho Leinonen, Andrew Luxton-Reilly, Thezyrie Amarouche, Brent N. Reeves, James Prather, Brett A. Becker. (07/2023). arXiv. http://arxiv.org/pdf/2307.16364v1
The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz. (06/2023). Computers and Education, Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X23000267
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
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
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
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
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
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
Enhancing Chemistry Learning with ChatGPT and Bing Chat as Agents-to-Think-With: A Comparative Case Study
Renato P. dos Santos. (05/2023). arXiv. http://arxiv.org/pdf/2305.11890v1
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
