通过自我调节驾驭在线学习之旅:教师作为学习者

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-05-13 DOI:10.1016/j.compedu.2024.105074
Yael Feldman-Maggor , Inbal Tuvi-Arad , Ron Blonder
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引用次数: 0

摘要

自我调节学习(SRL)可定义为学习者独立行事、积极管理自己学习过程的能力。这种能力在网络环境中尤为重要,因为网络环境允许学习者决定学习的地点和方式。大多数关于自律学习的研究都集中在学生身上,很少有研究涉及教师作为学习者的自律学习,而且只有少数研究是在在线学习的背景下进行的。更好地了解教师的自学能力至关重要,因为教师要帮助学生发展自学能力。本研究通过考察在线学习模式如何反映教师作为纳米技术在线专业发展(PD)课程学习者的自我调节学习,为弥补这一差距做出了贡献。本研究采用混合方法,结合对教师学习者访谈的定性分析和四个小故事所代表的学习过程的个人总结,以及日志文件的定量分析,来确定教师的学习模式。确定的模式包括间隔学习、按部就班学习、跳过困难部分、在课程结束时集中学习(即 "狂欢")和一起观看。这些模式间接地揭示了教师的自学能力,特别是他们的时间管理和任务策略,表明没有放之四海而皆准的学习方法。这项研究强调了采取综合方法的必要性,为教师的学习经验提供了更深入的见解,并有助于设计未来的在线培训课程。
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Navigating the online learning journey by self-regulation: Teachers as learners

Self-regulated learning (SRL) can be defined as the ability of learners to act independently and actively manage their own learning process. This skill becomes especially important in online environments, which allow learners to decide where and how to study. Most research on SRL has focused on students; few studies have addressed teachers' SRL as learners, and only a handful has done so in the context of online learning. A better understanding of teachers' SRL is essential since teachers are expected to support the development of their students' SRL abilities. This study contributes to bridging this gap by examining how online learning patterns reflect the self-regulated learning of teachers as learners in an online professional development (PD) course on nanotechnology. The study applies a mixed methods approach that combines the qualitative analysis of interviews with teacher learners and a personal summary of their learning process represented in four vignettes as well as quantitative log-file analysis to identify teachers' learning patterns. The patterns identified are interval learning, on-track learning, skipping difficult parts, concentrated learning toward the end of the course (i.e., “bingeing”), and watching together. These patterns indirectly shed light on teachers' SRL skills, especially their time management and task strategies, demonstrating that there is no one-size-fits-all approach to learning. The study highlights the need for a holistic approach, provides deeper insights into teachers’ learning experiences, and helps design future online PD courses.

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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
Unpacking help-seeking process through multimodal learning analytics: A comparative study of ChatGPT vs Human expert A meta-analysis on the effect of technology on the achievement of less advantaged students Personalization in educational gamification: Learners with different trait competitiveness benefit differently from rankings on leaderboards Plugging in at school: Do schools nurture digital skills and narrow digital skills inequality? Reducing interpretative ambiguity in an educational environment with ChatGPT
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