A Dashboard to Monitor Self-Regulated Learning Behaviours in Online Professional Development

IF 3.3 Q1 EDUCATION & EDUCATIONAL RESEARCH International Journal of Distance Education Technologies Pub Date : 2021-01-01 DOI:10.4018/IJDET.2021010102
F. Manganello, F. Pozzi, M. Passarelli, D. Persico, F. Dagnino
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引用次数: 6

Abstract

This paper reports on usage and impact on learning achievements of a dashboard developed to help monitor self-regulated learning behaviours in an online professional development path. The design of the path as well as of the dashboard were grounded on a pre-existing conceptual framework distinguishing between four different types of self-regulated learning behaviours taking place in professional learning networks and underpinning professional practice sharing. One of the objectives of the path was to promote such behaviours among participants, and the dashboard was designed to support their self-monitoring. Data were collected through usage log files analysis, a survey, and pretest and posttest. The results shed light on participants' actual usage of the dashboard, their opinion regarding its usefulness in relation of its capability to measure and support their SRL processes, and the dashboard's actual impact on their learning achievements. Moreover, some limitations in the current configuration of the dashboard emerged, which can guide further development.
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监控在线专业发展中自我调节学习行为的仪表板
本文报告了一个仪表盘的使用情况及其对学习成果的影响,该仪表盘旨在帮助监控在线专业发展道路上的自我调节学习行为。路径和仪表板的设计基于一个预先存在的概念框架,该框架区分了专业学习网络中发生的四种不同类型的自我调节学习行为,并支持专业实践共享。该路径的目标之一是促进参与者的这种行为,而仪表板的设计是为了支持他们的自我监控。通过使用日志文件分析、调查、前测和后测收集数据。结果揭示了参与者对仪表板的实际使用情况,他们对仪表板在测量和支持他们的SRL过程的能力方面的有用性的看法,以及仪表板对他们学习成就的实际影响。此外,当前仪表板配置中出现了一些限制,这些限制可以指导进一步的开发。
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来源期刊
CiteScore
9.10
自引率
0.00%
发文量
14
期刊介绍: Discussions of computational methods, algorithms, implemented prototype systems, and applications of open and distance learning are the focuses of this publication. Practical experiences and surveys of using distance learning systems are also welcome. Distance education technologies published in IJDET will be divided into three categories, communication technologies, intelligent technologies.
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