UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
PeerSynergy: An Innovative Application Applying Large Language Model to Peer Instruction
Sam Ka Lok1; Un-San Ieong2; Miguel Gomes da Costa Junior3
2024-12
Conference NameIEEE International Conference on Teaching, Assessment, and Learning for Engineering (IEEE TALE)
Source PublicationProceedings of 2024 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2024
Conference DateDEC 09-12 2024
Conference PlaceManipal Institute of Technology, Bengaluru (Hybrid)
CountryIndia
PublisherIEEE
Abstract

styleIn this study, we propose PeerSynergy, an innovative application that harnesses the power of AI by transforming direct answers into a more dynamic and interactive learning experience. The study aims to explore an innovative type of artificial intelligence (AI) education technology to avoid students’ passive reliance on AI, which can erode their cognitive reflection and critical thinking skills. Inspired by the Peer Instruction methodology proposed by Prof. Eric Mazur, our solution transforms AI-generated direct answers into guided, step-by-step conversations that encourage active student participation and the development of critical thinking skills. Through engineering AI prompts, PeerSynergy simulates a peer with a comparable level of knowledge, fostering a more collaborative and fairer debate in the learning process. This approach ensures that students are not merely passive recipients of massive information but are actively engaged in a dynamic educational dialogue.

KeywordGenerative Artificial Intelligence Large Language Models Active Learning Peer Instruction Methodology
Language英語English
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSam Ka Lok; Miguel Gomes da Costa Junior
Affiliation1.University of Macau, Faculty of Science and Technology, DCIS, Macao
2.University of Macau, Faculty of Science and Technology, DCIS, Macao
3.University of Macau, Faculty of Science and Technology, DCIS, Macao
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Sam Ka Lok,Un-San Ieong,Miguel Gomes da Costa Junior. PeerSynergy: An Innovative Application Applying Large Language Model to Peer Instruction[C]:IEEE, 2024.
APA Sam Ka Lok., Un-San Ieong., & Miguel Gomes da Costa Junior (2024). PeerSynergy: An Innovative Application Applying Large Language Model to Peer Instruction. Proceedings of 2024 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2024.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sam Ka Lok]'s Articles
[Un-San Ieong]'s Articles
[]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sam Ka Lok]'s Articles
[Un-San Ieong]'s Articles
[Miguel Gomes da...]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sam Ka Lok]'s Articles
[Un-San Ieong]'s Articles
[Miguel Gomes da...]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.