Managing Social Presence in Collaborative Learning with Agent Facilitation

As interest in online learning has increased, studies utilizing a social system for the innovation of lecture/learning environments have attracted attention recently. To establish sustainable environment system, prior research investigated strategies to improve and manage presence collaborators (e.g., students, AI facilitators, etc.) an lecture. Nevertheless, negative effect was often neglected, which leads lack comprehensiveness managing lecturing environment. In study, we intend investigate influence with both positive (student engagement) (information overload) aspects on experience by formulating structural equation model. test model, implemented experimental lecture introductory session human–computer interaction, data from 83 participants were collected. The model analyzed Partial Least Square Structural Equation Modeling (PLS-SEM). result shows influences student engagement (other learners: β = 0.239, t 2.187) information overload (agent facilitator: 0.492, 6.163; other 0.168, 1.672). also supports that is influenced as well (β −0.490, 3.712). These factors attainment engagement: 0.183, 1.680), satisfaction 0.385, 3.649; overload: −0.292, 2.343), efficacy 0.424, 2.543). Thus, it corroborates change level overload; furthermore, confirms changes reflected differently depending experience.