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Conference Paper: GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation

TitleGPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Authors
Keywordsadaptive learning
chatgpt
large language models
personalized learning
prompt engineering
Issue Date2024
Citation
L@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale, 2024, p. 539-541 How to Cite?
AbstractWe developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale. GPTutor adapts educational content and practice exercises to align with individual students' interests and career goals, enhancing their engagement and understanding of critical academic concepts. The system uses a serverless architecture to deliver personalized and scalable learning experiences. By integrating advanced Chain-of-Thoughts prompting methods, GPTutor provides a personalized educational journey that not only addresses the unique interests of each student but also prepares them for future professional success. This demo paper presents the design, functionality, and potential of GPTutor to foster a more engaging and effective educational environment.
Persistent Identifierhttp://hdl.handle.net/10722/354345

 

DC FieldValueLanguage
dc.contributor.authorChen, Eason-
dc.contributor.authorLee, Jia En-
dc.contributor.authorLin, Jionghao-
dc.contributor.authorKoedinger, Kenneth-
dc.date.accessioned2025-02-07T08:48:01Z-
dc.date.available2025-02-07T08:48:01Z-
dc.date.issued2024-
dc.identifier.citationL@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale, 2024, p. 539-541-
dc.identifier.urihttp://hdl.handle.net/10722/354345-
dc.description.abstractWe developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale. GPTutor adapts educational content and practice exercises to align with individual students' interests and career goals, enhancing their engagement and understanding of critical academic concepts. The system uses a serverless architecture to deliver personalized and scalable learning experiences. By integrating advanced Chain-of-Thoughts prompting methods, GPTutor provides a personalized educational journey that not only addresses the unique interests of each student but also prepares them for future professional success. This demo paper presents the design, functionality, and potential of GPTutor to foster a more engaging and effective educational environment.-
dc.languageeng-
dc.relation.ispartofL@S 2024 - Proceedings of the 11th ACM Conference on Learning @ Scale-
dc.subjectadaptive learning-
dc.subjectchatgpt-
dc.subjectlarge language models-
dc.subjectpersonalized learning-
dc.subjectprompt engineering-
dc.titleGPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/3657604.3664718-
dc.identifier.scopuseid_2-s2.0-85199889151-
dc.identifier.spage539-
dc.identifier.epage541-

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