What Makes a Massive Open Online Courses (MOOCs) excellent? An investigation in business analytics courses

Ying Wang, Jaeki Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study aims to investigate the factors influencing the success of MOOCs. By adopting a learning model, we map in-platform information into three categories: presage, process, and product. We propose that factors related to learners, instructors, courses, platforms, and learning activities influence completion rate and course evaluation. We analyze in-platform information about 1,000 business analytics courses from Udemy. We find that learners consider price when evaluating courses. However, price is not a motivation to complete courses. Instructors can increase the completion rate by providing short videos and posting regular assignments. Also, there is no need to post information on the MOOCs platforms if the information is common for most courses. This study enriches the understanding of learners' behavior in MOOCs environment by elaborating on the relationship between in-platform factors and the success of MOOCs. The findings provide practical implications on information management in MOOCs platforms.

Original languageEnglish
Title of host publication27th Annual Americas Conference on Information Systems, AMCIS 2021
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632584
StatePublished - 2021
Event27th Annual Americas Conference on Information Systems, AMCIS 2021 - Virtual, Online
Duration: Aug 9 2021Aug 13 2021

Publication series

Name27th Annual Americas Conference on Information Systems, AMCIS 2021

Conference

Conference27th Annual Americas Conference on Information Systems, AMCIS 2021
CityVirtual, Online
Period08/9/2108/13/21

Keywords

  • Guided LDA
  • Information management
  • Learning activities
  • MOOCs
  • Platform
  • Regression
  • Udemy

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