Role of Expressed Emotions in Predicting College Students' Engagement and Performance in an Online Learning Environment

• In Event: 77.057 - MTCC Roundtable Session 35
  In Roundtable Session: 77.057-5 - Learning and Cultivating in Instructional Technology

Abstract

Learner experiences in the asynchronous nature of group interaction can influence student multi-dimensional engagement, yet few studies have investigated this assertion. This study explored the relationships between motivation, perceived and expressed emotions, behavioral and cognitive engagement, and students’ achievement in the context of an online writing course. 41 students participated in this study. The post-survey was used to measure motivation and perceived emotions. Learner traces were retrieved from the wiki log data to understand the students’ expressed emotions and behavioral and cognitive engagement. The final scores were used as a performance indicator. The findings suggested that the expressed emotions can be used to describe students’ affective states and predict their success in an online course.

Authors

• Min Kyu Kim, Georgia State University

• Tuba Ketenci, Georgia Institute of Technology