Exploring Indicators of Engagement in Online Learning as Applied to Adolescent Health Prevention: A Pilot Study of REAL media.

Exploring Indicators of Engagement in Online Learning as Applied to Adolescent Health Prevention: A Pilot Study of REAL media.
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DOI:
10.1007/s11423-020-09813-1
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发表时间:
2020-12
期刊:
Educational technology research and development : ETR & D
影响因子:
--
通讯作者:
Banerjee SC
Banerjee SC
中科院分区:
其他
文献类型:
--
作者:
Ray AE;Greene K;Pristavec T;Hecht ML;Miller-Day MA;Banerjee SC

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参与是在线健康信息和旨在向目标受众提供这些信息的相关教育计划的有效性的核心。根据健康传播和社会学习理论,积极参与理论(TAI)认为在线预防计划的影响取决于参与者的参与程度。在实践中,衡量这方面的参与程度主要依靠自我报告措施(例如,)。然而,提供具体健康信息的在线学习平台的出现和发展为评估参与提供了其他选择。这包括程序分析,它捕获与内容的交互,并通过多个指标(如对交互式问题的回答和在程序中花费的时间)来促进模式的检查。然而,很少有人知道这些不同的参与指标之间的关系,因为它适用于卫生课程。本研究使用自我报告,观察和程序分析数据收集的一个小样本(N = 38)使用真实的媒体,一个在线物质使用预防计划,检查参与的各种指标之间的关系。调查结果表明,一组指标,提供了一个有用的方式来衡量参与的三种模式。以复杂性为中心的聚类表明,在设计有吸引力的干预措施时,需要考虑一个单独的因素。
Engagement is central to the effectiveness of online health messages and the related educational programs that aim to deliver these messages to the intended audience (:). Drawing from health communication and social learning theories, the Theory of Active Involvement (TAI) posits that an online prevention program’s impact depends on how engaged participants are. In practice, measuring engagement in this context has relied primarily on self-report measures (e.g.,). However, the emergence and growth of online learning platforms to deliver health-specific information offers other options for assessing engagement. This includes program analytics that capture interaction with content and facilitate examination of patterns via multiple indicators such as responses to interactive questions and time spent in the program. However, little is known about the relationships between these different indicators of engagement as it applies to health curricula. This study uses self-report, observational, and program analytic data collected on a small (N = 38) sample using REAL media, an online substance use prevention program, to examine relationships among various indicators of engagement. Findings suggest a cluster of indicators across the three modalities that provide a useful way of measuring engagement. A cluster centered around complexity suggests a separate factor to be considered when designing engaging interventions.
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