Notice to Authors

Due to the overwhelming number of submissions to IRRODL, the journal has already met its publication quota for 2019. As a result, for a period that will not exceed six months, IRRODL will no longer be accepting submissions after May 1, 2019. In order to improve our service to the academic community, and to ensure a six month review to publication cycle, IRRODL will be moving to a regularized publication schedule in 2020. More information will be provided later this year.

We thank our authors, reviewers, and readers for their unwavering and exceptional support in making our journal one of the world’s most successful, open access journals in the field of open and distributed learning.

Types of Participant Behavior in a Massive Open Online Course

  • Tali Kahan Tel Aviv University
  • Tal Soffer Tel Aviv Univeristy
  • Rafi Nachmias Tel Aviv University
Keywords: massive open online course, types of participant behavior, educational data mining, cluster analysis


In recent years there has been a proliferation of massive open online courses (MOOCs), which provide unprecedented opportunities for lifelong learning. Registrants approach these courses with a variety of motivations for participation. Characterizing the different types of participation in MOOCs is fundamental in order to be able to better evaluate the phenomenon and to support MOOCs developers and instructors in devising courses which are adapted for different learners' needs. Thus, the purpose of this study was to characterize the different types of participant behavior in a MOOC. Using a data mining methodology, 21,889 participants of a MOOC were classified into clusters, based on their activity in the main learning resources of the course: video lectures, discussion forums, and assessments. Thereafter, the participants in each cluster were characterized in regard to demographics, course participation, and course achievement characteristics. Seven types of participant behavior were identified: Tasters (64.8%), Downloaders (8.5%), Disengagers (11.5%), Offline Engagers (3.6%), Online Engagers (7.4%), Moderately Social Engagers (3.7%), and Social Engagers (0.6%). A significant number of 1,020 participants were found to be engaged in the course, but did not achieve a certificate. The types are discussed according to the established research questions. The results provide further evidence regarding the utilization of the flexibility, which is offered in MOOCs, by the participants according to their needs. Furthermore, this study supports the claim that MOOCs' impact should not be evaluated solely based on certification rates but rather based on learning behaviors.

Author Biographies

Tali Kahan, Tel Aviv University
School of Education
PhD Student
Tal Soffer, Tel Aviv Univeristy
School of Education
Rafi Nachmias, Tel Aviv University
School of Education
How to Cite
Kahan, T., Soffer, T., & Nachmias, R. (2017). Types of Participant Behavior in a Massive Open Online Course. The International Review of Research in Open and Distributed Learning, 18(6).
Research Articles