Conference
| Title | Conceptualization of an Algorithm for Social Learning Management Systems to Promote Learning Interactions Posted by Orven Llantos |
| Authors | Llantos, Orven E; |
| Publication date | 2023/03/16 |
| Conference | Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, ITAH, MILC, SHAI, SketchRec, SOCIALIZE co-located with the ACM International Conference on Intelligent User Interfaces (IUI 2023) |
| Volume | 3359 |
| Pages | 243-245 |
| Publisher | CEUR-WS.org |
| Abstract | A dropout is a situation where a user lacks the motivation to continue the learning interactions, thereby losing the engagement and eventually stopping the utilization of the Social Learning Management System (sLMS). The term was originally defined for students losing interest in using a sLMS but is generalized in this paper so the term can be applied to all users of sLMS. Several approaches involves artificial intelligence technique like fuzzy cognitive maps are used in conceptualizing feedback mechanisms that improved the studentsâ situation awareness. Another approach might be based on actual user interactions and the computation of centrality scores from social network algorithms. This paper introduces the algorithm, which uses centrality measures to drive automated decision-making so an intervention can be selected when dropout is detected. The conceptualization of the algorithm is helpful in the adaption efforts of schools that are newly acquainted with learning technologies like the sLMS, to eliminate the dropout of the administrator, teachers, students, and parents. |
| Index terms / Keywords | Centrality, Social Network, Learning Interactions, Social Learning Management System, dropout |
| URL | https://ceur-ws.org/Vol-3359/paper31.pdf |