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Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement
Ting Ting Wu
, Hsin Yu Lee
, Pei Hua Chen
, Chia Ju Lin
,
Yueh Min Huang
Department of Engineering Science
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Citations (Scopus)
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Dive into the research topics of 'Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement'. Together they form a unique fingerprint.
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Social Sciences
Science, Technology, Engineering and Mathematics
100%
Peer Assessment
100%
Mathematics Education
100%
Science Education
100%
Randomized Controlled Trial
100%
Thinking Skill
42%
Critical Thinking
42%
Knowledge Construction
28%
Artificial Intelligence
28%
Creativity
28%
Pretest
28%
21st Century
28%
Variance
14%
Educational Technology
14%
Skills Development
14%
Peer Interaction
14%
Self-Reflection
14%
Psychology
Thinking Skill
100%
Critical Thinking
100%
Analysis of Covariance
66%
Artificial Intelligence
66%
Self-Reflection
33%
Keyphrases
Assessment Cycle
100%
Attitude towards Mathematics
28%
Science Competency
14%
Educational Technology Integration
14%
Network Embedded Systems
14%
Large Class Settings
14%
First-year Engineering Students
14%
Mathematics Competency
14%
Levene's Test
14%
Learning Reflection
14%