Lab / online experiment

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 121 - 133 of 133 studies

Effectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy

Gilberto Huesca, Yolanda Martínez-Treviño, José Martín Molina-Espinosa, Ana Raquel Sanromán-Calleros, Roberto Martínez-Román, Eduardo Antonio Cendejas-Castro, Raime Bustos. (06/2024). Education Sciences. https://www.mdpi.com/2227-7102/14/6/660
Beyond Answers: Large Language Model-Powered Tutoring System in Physics Education for Deep Learning and Precise Understanding

Zhoumingju Jiang, Mengjun Jiang. (06/2024). arXiv. http://arxiv.org/pdf/2406.10934v1
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs

Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu. (06/2024). arXiv. https://arxiv.org/pdf/2401.06431
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions

Hamidreza Rouzegar, Masoud Makrehchit. (06/2024). arXiv. https://arxiv.org/pdf/2406.13903
Chatbot dialogic reading boosts comprehension for Chinese kindergarteners with higher language skills

Xi Cheng, Li Yin, Chaochao Lin, Zhaoning Shi, Hanxiao Zheng, Leqi Zhu, Xiabi Liu, Keran Chen, Rui Dong. (04/2024). ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0022096523002187
Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim. (03/2024). arXiv. http://arxiv.org/pdf/2309.14534v3
The Impact of Student-AI Collaborative Feedback Generation on Learning Outcomes

Anjali Singh, Christopher Brooks, Xu Wang. (12/2023). OpenReview. https://openreview.net/forum?id=IQZ2dcsVq0
Challenges and Opportunities of Moderating Usage of Large Language Models in Education

Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus. (12/2023). arXiv. http://arxiv.org/pdf/2312.14969v1
Math Education With Large Language Models: Peril or Promise?

Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman. (11/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4641653
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
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
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
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions

Francois St-Hilaire, Dung Do Vu, Antoine Frau, Nathan Burns, Farid Faraji, Joseph Potochny, Stephane Robert, Arnaud Roussel, Selene Zheng, Taylor Glazier, Junfel Vincent Romano, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Tommy Delarosbil, Seulmin Ahn, Simon Eden-Walker, Kritika Sony, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Victor Chen, Hossein Sahraei, Robert Larson, Nadia Markova, Andrew Barkett, Laurent Charlin, Yoshua Bengio, Iulian Serban, Ekaterina Kochmar. (03/2022). arXiv. http://arxiv.org/pdf/2203.03724v1