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Collaborative programming based on social shared regulation: An approach to improving students' programming achievements and group metacognition

元认知 协作学习 数学教育 背景(考古学) 计算机科学 计算机支持的协作学习 自主学习 合作学习 认知 心理学 知识管理 教学方法 生物 古生物学 神经科学
作者
Cheng‐Ye Liu,Li Wei,Ji-Yi Huang,Lu‐Yuan Lei,Pei‐Rou Zhang
出处
期刊:Journal of Computer Assisted Learning [Wiley]
卷期号:39 (5): 1714-1731 被引量:24
标识
DOI:10.1111/jcal.12828
摘要

Abstract Background Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives This study proposes an approach to support socially shared regulation in collaborative programming learning in order to enhance students' programming achievements and group metacognition. Methods A quasi‐experimental study was conducted in a junior high school over a 10‐week period to investigate the impact of the proposed approach on programming achievements, group metacognition, and cognitive load. Forty eighth‐grade students participated in the study, with the experimental group learning via the proposed approach, while the control group used the conventional collaborative programming learning approach. Results and Conclusions The analysis included data from 38 participants. The experimental results showed that the programming achievements and group metacognition of the experimental group were significantly better than those of the control group. Additionally, the proposed approach did not increase the cognitive load of the students. Implications This study has important implications for teachers, learners, and researchers in collaborative programming and social regulation. Our proposed collaborative programming learning approach enhances learners' social regulation and performance, providing teachers with an effective tool for improving collaborative programming learning. This study also extends the field of socially shared regulation of learning (SSRL), demonstrating its potential to improve the effectiveness of collaborative programming learning and highlighting the need for future research to explore the mechanisms of SSRL in this context.
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