多样性(控制论)
相关性(法律)
背景(考古学)
计算机科学
组分(热力学)
认知
领域(数学分析)
教育软件
教育研究
数学教育
软件
心理学
数据科学
人工智能
数学
古生物学
数学分析
物理
神经科学
政治学
法学
生物
程序设计语言
热力学
标识
DOI:10.1016/j.compedu.2018.03.019
摘要
This article reviews empirical research on applying the Attention, Relevance, Confidence, and Satisfaction (ARCS) model to real educational settings, including computer-based learning approaches. This review focuses on three aspects: (1) how the ARCS model was applied to what specific educational settings; (2) what research methods were used; and (3) what outcomes were reported in these studies. Our findings indicate that the ARCS model was applied to a variety of countries and educational settings. The course component(s) in which the ARCS model was incorporated included single course component (e.g. course email), multiple course components, and other programs (e.g. specific software or game). Quantitative methods were used more than qualitative and mixed methods in these reviewed studies. Four major research outcomes were found in regard to participants’ affective domain, cognitive domain, learning behaviors, and psychological traits. We also summarized the studies in this review and provided future research directions. The latter includes applications of design-based research to educational problems that the ARCS model might address, especially in the context of computer-based learning.
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