Towards Reduction in MOOCs Dropouts: An Agent-Based Model for Social Network Based Collaborative Learning

EasyChair Preprint no. 2790

Abstract

Universities, hosting Massive Open Online Courses (MOOC) are facing major challenge of immature dropout of a student. Major research considerations to address this challenge are only able to, identify a student at the verge of a dropout using learning and learner analytics based on different sources of data (MOOCs data, social networking data). There is no significant research done on how to avert this particular state of the learner. An agent based model is proposed to recreate different scenarios of learners’ interactions and social network evolution. The purpose of this study is to identify important phenomena and structures of social networking using a simulated MOOC setting, so that the social network interaction can be channeled to avert the possibility of dropout.

Keyphrases: ABM, collaborative learning, dropouts, MOOCs

@Booklet{EasyChair:2790,
  author = {Lakshmi Sunil Prakash and Kashif Zia and Ismail Khalil},
  title = {Towards Reduction in MOOCs Dropouts: An Agent-Based Model for Social Network Based Collaborative Learning},
  howpublished = {EasyChair Preprint no. 2790},

  year = {EasyChair, 2020}}