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Educator
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 661 - 690 of 696
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
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
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
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
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
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
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…
ChatGPT for education and research: A review of benefits and risks
Sarin Sok, Kimkong Heng. (03/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4378735
Could an Artificial-Intelligence agent pass an introductory physics course?
Gerd Kortemeyer. (02/2023). arXiv. http://arxiv.org/pdf/2301.12127v2
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal. (12/2022). arXiv. http://arxiv.org/pdf/2212.07542v1
A Review of Artificial Intelligence (AI) in Education during the Digital Era
Pongsakorn Limna, Somporch Jakwatanatham, Sutithep Siripipattanakul, Pichart Kaewpuang, Patcharavadee Sriboonruang. (07/2022). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4160798
Automatic Generation Of Programming Exercises And Code Explanations With Large Language Models
Sami Sarsa, Paul Denny, Juho Leinonen, Arto Hellas. (06/2022). arXiv. http://arxiv.org/pdf/2206.11861v2
Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review
Mostafa Zafari, Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi. (05/2022). IEEE. https://ieeexplore.ieee.org/document/9785805
Home-Tutoring Services Assisted with Technology: Investigating the Role of Artificial Intelligence Using a Randomized Field Experiment
Jun Hyung Kim, Minki Kim, Do Won Kwak, Sol Lee. (09/2021). Sage. https://journals.sagepub.com/doi/full/10.1177/00222437211050351
Improvement of Pre-Service Teachers' Practical Knowledge and Motivation about Artificial Intelligence through a Service-learning-based Module in Guizhou, China: A Quasi-Experimental Study
Song Pu, Nor Aniza Ahmad, Mas Nida Md. Khambari, Ng Keng Yap, Seyedali Ahrari. (07/2021). Research Gate. https://www.researchgate.net/publication/353647260_Improvement_of_Pre-Service_T…
Artificial Intelligence, Teacher Tasks and Individualized Pedagogy
Bruno Ferman, Lycia Lima, Flavio Rivas. (02/2021). IDEAS. https://ideas.repec.org/p/osf/socarx/qw249.html
Trustworthy Artificial Intelligence In Education: Pitfalls and Pathways
Nathalie A. Smuha. (12/2020). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3742421
Experimental Evidence on Artificial Intelligence in the Classroom
Ferman, Bruno and Lima, Lycia and Riva, Flavio. (11/2020). RePEc. https://ideas.repec.org/p/pra/mprapa/103934.html
Use Of Artificial Intelligence In Education
CMA (Dr.) Ashok Panigrahi, Dr. Vijay Joshi. (05/2020). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3606936
Artificial Intelligence in Education: A Review
Lijia Chen, Pingping Chen, Zhijian Lin. (04/2020). IEEE. https://ieeexplore.ieee.org/document/9069875
