Integrating peer assessment cycle into <scp>ChatGPT</scp> for <scp>STEM</scp> education: A randomised controlled trial on knowledge, skills, and attitudes enhancement

Abstract Background Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives This study introduces PA‐GPT, using ChatGPT as a “virtual peer” in peer assessments to promote active learning and enhance knowledge, higher‐order thinking skills (HOTS), and attitudes—the core of KSA in STEM. Methods A randomised controlled trial involved 61 first‐year engineering students (43 males, 18 females) from a university in Southern Taiwan enrolled in “Network Embedded Systems and Applications.” Participants, all with prior ChatGPT experience but no programming background, were purposively sampled. They were randomly assigned to the experimental group ( n = 31) using PA‐GPT or the control group ( n = 30) using traditional ChatGPT. Over 8 weeks, data were collected using pre‐ and post‐tests: a knowledge construction test (20 items, α = 0.85); a HOTS scale ( α = 0.78–0.83) measuring critical thinking, problem‐solving, and creativity; and the S‐STEM questionnaire ( α &gt;0.80) assessing attitudes towards STEM subjects and 21st‐century learning. ANCOVA analysed the data, controlling for pre‐test scores, and Levene's test checked homogeneity of variances. Results and Conclusions ANCOVA results showed that PA‐GPT significantly outperformed traditional ChatGPT in enhancing knowledge construction ( F = 9.89, p = 0.002), critical thinking ( F = 37.00, p &lt; 0.001), problem‐solving ( F = 9.40, p = 0.003), creativity (F = 7.22, p = 0.009), and attitudes towards mathematics ( F = 25.52, p &lt; 0.001), engineering/technology ( F = 16.06, p &lt; 0.001), and 21st‐century learning ( F = 26.38, p &lt; 0.001). These findings demonstrate that PA‐GPT effectively addresses challenges in student engagement and HOTS development in STEM education by simulating peer interactions. Peer Assessment with ChatGPT (PA‐GPT) promotes active learning and self‐reflection, potentially revolutionising AI‐assisted education in large class settings. This study provides pioneering evidence for the effectiveness of AI‐driven peer assessment in enhancing comprehensive STEM competencies, offering a promising direction for future educational technology integration.

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Publication Details

Journal
Journal of Computer Assisted Learning
Published
2024-10-23
DOI
https://doi.org/10.1111/jcal.13085
Citations
29
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
11.94
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article

Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement

Ting‐Ting Wu, Yueh‐Min Huang, Chia‐Ju Lin, Hsin‐Yu Lee et al.
29 citations
Journal of Computer Assisted Learning
Online Learning and Analytics
11.94
article

Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement

Ting‐Ting Wu, Yueh‐Min Huang, Chia‐Ju Lin, Hsin‐Yu Lee, Pei‐Hua Chen
article en
29 citations

Abstract

Abstract Background Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives This study introduces PA‐GPT, using ChatGPT as a “virtual peer” in peer assessments to promote active learning and enhance knowledge, higher‐order thinking skills (HOTS), and attitudes—the core of KSA in STEM. Methods A randomised controlled trial involved 61 first‐year engineering students (43 males, 18 females) from a university in Southern Taiwan enrolled in “Network Embedded Systems and Applications.” Participants, all with prior ChatGPT experience but no programming background, were purposively sampled. They were randomly assigned to the experimental group ( n = 31) using PA‐GPT or the control group ( n = 30) using traditional ChatGPT. Over 8 weeks, data were collected using pre‐ and post‐tests: a knowledge construction test (20 items, α = 0.85); a HOTS scale ( α = 0.78–0.83) measuring critical thinking, problem‐solving, and creativity; and the S‐STEM questionnaire ( α &gt;0.80) assessing attitudes towards STEM subjects and 21st‐century learning. ANCOVA analysed the data, controlling for pre‐test scores, and Levene's test checked homogeneity of variances. Results and Conclusions ANCOVA results showed that PA‐GPT significantly outperformed traditional ChatGPT in enhancing knowledge construction ( F = 9.89, p = 0.002), critical thinking ( F = 37.00, p &lt; 0.001), problem‐solving ( F = 9.40, p = 0.003), creativity (F = 7.22, p = 0.009), and attitudes towards mathematics ( F = 25.52, p &lt; 0.001), engineering/technology ( F = 16.06, p &lt; 0.001), and 21st‐century learning ( F = 26.38, p &lt; 0.001). These findings demonstrate that PA‐GPT effectively addresses challenges in student engagement and HOTS development in STEM education by simulating peer interactions. Peer Assessment with ChatGPT (PA‐GPT) promotes active learning and self‐reflection, potentially revolutionising AI‐assisted education in large class settings. This study provides pioneering evidence for the effectiveness of AI‐driven peer assessment in enhancing comprehensive STEM competencies, offering a promising direction for future educational technology integration.

Journal of Computer Assisted LearningVol. 41(1)
National Yunlin University of Science and Technology (TW), National Cheng Kung University (TW)
Quality Education
Openalex Percentile: Top 1%
Online Learning and Analytics
11.94
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