Educator
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 541 - 570 of 590
Using Curriculum Theory to Inform Approaches to Generative AI in Schools
Myke Healy. (09/2023). arXiv. http://arxiv.org/pdf/2309.13053v1
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
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
The impact of ChatGPT on higher education
Juan Dempere, Kennedy Modugu, Allam Hesham, Lakshmana Kumar Ramasamy. (09/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4592192
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
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
Generativism: the new hybrid
B. Mairead Pratschke. (09/2023). arXiv. http://arxiv.org/pdf/2309.12468v1
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
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
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
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
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
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
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
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
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
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew Lan. (06/2023). arXiv. http://arxiv.org/pdf/2306.00784v1
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
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
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
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
Al literacy in K-12: a systematic literature review
Lorena Casal-Otero, Alejandro Catala, Carmen Fern¬ández-Morante, M¬ária Taboada, Beatriz Cebreiro & Sen¬én Barro. (04/2023). SpringerOpen. https://stemeducationjournal.springeropen.com/articles/10.1186/s40594-023-00418…
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
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
