Lin, Jionghao
Monash University · Carnegie Mellon University
5 papers on CoChatORCID 0000-0003-3320-3907
Most cited papers
- Verified
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT
Dai, W., Lin, J., Jin, F., Li, T., Tsai, Y.-S., Gasevic, D., & Chen, G. (2023) · IEEE International Conference on Advanced Learning Technologies (ICALT)
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 395
- Verified
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT
Dai, W., Lin, J., Jin, H., Li, T., Tsai, Y.-S., Gašević, D., & Chen, G. (2023) · 2023 IEEE International Conference on Advanced Learning Technologies (ICALT)
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 395
- Verified
Can large language models write reflectively
Li, Y., Sha, L., Yan, L., Lin, J., Raković, M., Galbraith, K., Lyons, K., Gašević, D., & Chen, G. (2023) · Computers and Education: Artificial Intelligence
Artificial Intelligence in EducationReflective Practices in Education
Cited by 99
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Assessing the proficiency of large language models in automatic feedback generation: An evaluation study
Dai, W., Tsai, Y.-S., Lin, J., Aldino, A., Jin, H., Li, T., Gašević, D., & Chen, G. (2024) · Computers and Education: Artificial Intelligence
Online Learning and AnalyticsArtificial Intelligence in Education
Cited by 93
- Verified
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Chen, E., Lee, J.-E., Lin, J., & Koedinger, K. (2024) · Proceedings of the Eleventh ACM Conference on Learning @ Scale
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 31
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