Re-Examining the Community of Inquiry Framework from the Perspective of Learning Analytics

S. Xu, Heng Luo, Yueying Tan
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引用次数: 3

Abstract

Community of inquiry framework is a widely used theoretical model for explaining online learning process and experience. However, the extant research on this model is largely based on survey research, ignoring the quantitative data of learning behavior. To address such research need, this study investigates the community of inquiry model using both questionnaire data and learning behavior data collected from a learning platform. Through the correlation and stepwise linear regression analysis, this study examines the relationship between online behaviors and identified four types of learning behaviors as significant predictors for MOOC learning performance. The research findings provide several interesting perspectives on online learning behaviors, and can guide learners to learn meaningful and in-depth online learning.
从学习分析的视角重新审视探究共同体框架
探究社区框架是一种广泛使用的理论模型,用于解释在线学习过程和经验。然而,现有对该模型的研究主要是基于调查研究,忽略了学习行为的定量数据。为了满足这一研究需求,本研究使用问卷调查数据和从学习平台收集的学习行为数据来研究探究社区模型。通过相关分析和逐步线性回归分析,本研究检验了在线行为之间的关系,并确定了四种类型的学习行为是MOOC学习绩效的显著预测因素。研究结果为在线学习行为提供了几个有趣的视角,可以指导学习者进行有意义和深入的在线学习。
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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