Exploring the Relationship Between Student Engagement and Authentic Learning During COVID-19

Abstract

Social Networking Sites (SNSs) such as WeChat or Facebook, can facilitate university students in learning, especially during a deadly epidemic period such as COVID-19. Student engagement is a challenging task for educators in internet-enabled technology-enhanced learning platforms. This research attempts to identify the relationship between student engagement and authentic learning during COVID-19 through the Theory of Planned Behavior (TPB) as a theoretical base. Quantitative data were collected (n = 285) using an online survey technique with the students from a recognized university in China. All six proposed hypotheses, including a moderating and two mediating variables were found to be supported. The findings indicated that constructs such as affective engagement (AE) and social engagement (SE) are significant predictors of social interaction (SI) that may lead to accomplish authentic learning task (ALTask). Further, lack of attention (LAN) was found to significantly moderate social interaction and authentic learning tasks during COVID-19.