Advances in technology reinforce the imperative to obtain further insight into the factors that impact online interaction in online environments. Even though past researchers have extracted factors impacting student online interaction and engagement, there is a lack of research that uncovers the dynamics of these relationships and investigates the impact of a comprehensive set of factors on student online interaction at the same time. Thus, this paper seeks to fill this gap by employing a causal loop approach to uncover the interrelationships of these factors that contribute to a positive impact on students’ learning outcomes, and to evaluate satisfaction and engagement in online courses by focussing on students’ online interaction. To this end, a rich qualitative data set was obtained from an online focus group consisting of students from a large online course, and a thematic analysis was conducted resulting in identifying different factors that played a role in the topic under study. More importantly, causal loop modelling was used to model these factors and their causal interrelationships.
Purarjomandlangrudi, A., & Chen, D. (2019). A causal loop approach to uncover interrelationship of student online interaction and engagement and their contributing factors. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2058