Analyzing MOOC Features for Enhancing Students Learning Satisfaction

Abstract

This research goal is to identify MOOC features (edX and Coursera) that affect and support students learning satisfaction. The objectives of this research for lecturers are to become an alternative way to conduct learning activity by using the features recommendation and as for students is to support their learning satisfaction that can increase their participation in learning process. The main objective of this research is to find features of Learning Management System (LMS) on Massive Open Online Course (MOOC) based on students learning satisfaction indicators and give feature recommendations for higher education LMS. Data collection method for this research is by spreading 130 questionnaires to students who have participated in MOOC. As for the data analysis, the authors use multiple regression model for analyzing the relationship between the dependent and independent variables and using SPSS Statistics 22 software as a tool for analyzing the collected data. The result from this research shows that communication, lecture and study material, quiz, assignment, and grading features are the features that support students learning satisfaction.