What cognitive and affective states should technology monitor to support learning?

Temitayo A. Olugbade, L. Cuturi, G. Cappagli, Erica Volta, Paolo Alborno, Joseph W. Newbold, N. Bianchi-Berthouze, G. Baud-Bovy, G. Volpe, M. Gori
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引用次数: 6

Abstract

This paper discusses self-efficacy, curiosity, and reflectivity as cognitive and affective states that are critical to learning but are overlooked in the context of affect-aware technology for learning. This discussion sits within the opportunities offered by the weDRAW project aiming at an embodied approach to the design of technology to support exploration and learning of mathematical concepts. We first review existing literature to clarify how the three states facilitate learning and how, if not supported, they may instead hinder learning. We then review the literature to understand how bodily expressions communicate these states and how technology could be used to monitor them. We conclude by presenting initial movement cues currently explored in the context of weDRAW.
技术应该监测哪些认知和情感状态来支持学习?
本文讨论了自我效能感、好奇心和反射率作为对学习至关重要的认知和情感状态,但在情感感知学习技术的背景下被忽视了。这种讨论是在weDRAW项目提供的机会中进行的,该项目旨在采用具体的方法来设计技术,以支持对数学概念的探索和学习。我们首先回顾现有的文献,以澄清这三种状态是如何促进学习的,以及如果不得到支持,它们是如何阻碍学习的。然后,我们回顾文献,了解身体表情如何传达这些状态,以及如何使用技术来监测它们。最后,我们提出了目前在weDRAW环境中探索的初始运动线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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