Experience in learners review to determine attribute relation for course completion

Abstract

Choosing a course in e-learning required complex process. Recommendation is a way to help learner to decide of what course they will choose next. The common approach to course recommendation is using similar or past course experience satisfaction that commonly measured by rating. However, satisfaction in the open e-learning such as Massive Open Online Course (MOOC) also can be seen by rating and learner reviews. Reviews give descriptive information about course satisfaction from other learner. The main purpose of satisfaction measurement in this paper is to predict learners' course completion. We propose learner experience recommendation using sentiment analysis and Fuzzy C-Means to determine attributes that related to a course completion.