Moti-meter: A system for visualizing personal learning motivation
Moti-meter: A system for visualizing personal learning motivation
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Moti-meter：个人学习动机可视化系统
DOI：
10.1007/978-3-319-60639-2_12
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Yusuke Shimazaki and Toshikazu Kato
中科院分区：
文献类型：
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作者：
Miki Iwai;Koichi Takeuchi and Kyo Kageura;藤原潤，松田貴文，松本裕貴，神田健介，藤田孝之，前中一介;Yusuke Shimazaki and Toshikazu Kato
近年来，许多教育机构都引进和使用了电子学习系统。然而，由于在使用这些系统的班级中难以保持学生的动机，用于自学的电子学习系统可能会促进用户辍学;更确切地说，由于用户在自学期间被隔离，他们最初可能会非常积极地参与电子学习，但这种动机可能会随着时间的推移逐渐下降。在这项研究中，我们介绍了“动机计”，旨在支持维护用户的动机，避免心理反应，使用户能够可视化自己的动机系统。使用从非侵入式传感器设备（例如智能手机和可穿戴设备）收集的数据的回归分析来估计用户的动机。可视化一个人的动机在其他领域也有潜在的应用，例如在医疗保健领域。
In recent years, e-learning systems have been introduced and used at many educational institutions. However, because of difficulty in maintaining student motivation in classes that use these systems, e-learning systems for self-study may foster user dropout; more precisely, because users are isolated during self-study, they may be highly motivated to engage in e-learning initially, but this motivation may gradually decline over time. In this study, we introduce “Moti-Meter,” a system intended to support the maintenance of user motivation and avoid psychological reactance by enabling users to visualize their own motivation. Estimation of users’ motivation is done using regression analysis of data collected from non-invasive sensor devices, such as smartphones and wearable devices. Visualizing one’s motivation has potential for applications in a range of other fields as well, for instance in healthcare.