基于视频的分析支持的形成性反馈,以增强成绩差的学生的协作和课堂话语参与的概念

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-12-05 DOI:10.1016/j.compedu.2024.105215
Yuyao Tong, Gaowei Chen, Morris Siu-Yung Jong
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引用次数: 0

摘要

大量的研究已经证明了协作和课堂话语在学生学习中的重要作用。然而,成绩差的学生经常面临参与协作工作和富有成效的课堂话语的挑战。本研究旨在探讨学习分析如何帮助低分学生进行反思活动,以增强他们的协作概念和富有成效的课堂话语参与。为了实现这一目标,我们提出了一种基于视频分析支持的形成性反馈方法,在这种方法中,学生使用基于视频的视觉学习分析工具来协作地反思他们的课堂话语。采用准实验设计,将4个班9、10年级低年级学生分为实验组(n = 48)和对照组(n = 42)。实验组学生在知识建构的环境中加入了分析支持的方法,而对照组学生则在常规的知识建构环境中学习。混合方法分析显示,相对于对照组,实验组的学生对合作有了更深的理解,在课堂讨论中也更有成效。结果强调了学生的合作概念、富有成效的课堂话语参与和概念理解之间的关系。访谈回应和小组讨论的定性分析提供了证据,证明了分析支持的方法如何促进学生参与富有成效的课堂话语。从理论上讲,本研究通过在编排富有成效的全班讨论时增加一层对学生视角的关注,提出了富有成效的课堂话语的概念。此外,本研究通过提出一种新颖的学习分析支持的方法来帮助成绩差的学生发展他们的合作概念并参与富有成效的课堂话语,从而对当前的文献做出了贡献。
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Video-based analytics-supported formative feedback for enhancing low-achieving students’ conception of collaboration and classroom discourse engagement
A substantial body of research has demonstrated the essential roles of collaboration and classroom discourse in student learning. However, low-achieving students often face the challenge of engaging in collaborative work and productive classroom discourse. This study aimed to examine how learning analytics can help scaffold low-achieving students' reflective activities to enhance their conception of collaboration and productive classroom discourse engagement. To meet this goal, we proposed a video-based analytics-supported formative feedback approach in which students use a video-based visual learning analytic tool to reflect on their classroom discourse collaboratively. Using a quasi-experimental design, four classes of 9th- and 10th-grade low-achieving students were divided into an experimental group (n = 48) and a comparison group (n = 42). The experimental students engaged in a knowledge-building environment augmented with the analytics-supported approach, while the comparison students studied in a regular knowledge-building environment. Mixed-method analysis revealed that students in the experimental group, relative to the comparison group, developed a deeper conception of collaboration and engaged more productively in classroom discussions. The results highlighted the relationship between students' conception of collaboration, productive classroom discourse engagement, and conceptual understanding. Qualitative analysis of the interview responses and group discussions provided evidence of how the analytics-supported approach facilitated students’ engagement in productive classroom discourse. Theoretically, this study advances the idea of productive classroom discourse by adding a layer of focusing on the student perspective in orchestrating productive whole-class discussions. Additionally, this study contributes to the current literature by proposing a novel learning analytics-supported approach to help low-achieving students develop their conception of collaboration and engage in productive classroom discourse.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
期刊最新文献
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