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The role of expressed emotions in online discussions
Authors:Min Kyu Kim  Tuba Ketenci
Institution:1. Georgia State University, Atlanta, GA, USA;2. mkim120@gsu.edu;4. Georgia Institute of Technology, Atlanta, GA, USA
Abstract:Abstract

We investigated relationships among expressed emotions, perceived motivation, perceived emotions, and three dependent variables (i.e., behavioral engagement, cognitive engagement, and student achievement) in the context of a blended online course. We defined “expressed emotions” as emotions detected by an affective computing tool in messages that students posted to online discussion forums in a blended undergraduate writing course. The results of two-step hierarchical multivariate regressions revealed that expressed emotions differentiated positive emotions from negative emotions better than perceived emotions did. Moreover, while no significant effect emerged for perceived motivation and perceived emotions, expressed fear was a significant predictor of student achievement (i.e., final score). Although affective computing is in its infancy, our findings suggest the potential use of expressed emotions for educational research and practice.
Keywords:Expressed emotions  online learning  asynchronous online discussion  motivation  learning engagement  higher education
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