Publication Date
2018
Document Type
Dissertation/Thesis
First Advisor
Xie, Ying
Degree Name
Ph.D. (Doctor of Philosophy)
Legacy Department
Department of Educational Technology, Research and Assessment
LCSH
Educational technology; Sex role--Study and teaching; Gender identity--Study and teaching
Abstract
Massive Open Online Courses (MOOCs) are widespread and still growing due to their modernity and proliferation. However, one of the concerns of MOOCs is the high dropout rate of enrollees. Focusing on this issue, especially in Saudi Arabia where there is a lack of literature and special characteristics such as adopting single-sex education system, was an essential reason for conducting the current study. This study examined the relationship among learners' motivation, gender, and completion of MOOCs in Saudi Arabia. Keller's ARCS motivation model was used as the theoretical framework. In this non-experimental survey study, 238 Saudi learners of MOOCs completed the Instructional Materials Motivation Survey (IMMS). Chi-square tests, independent samples t-tests, multiple regression, and logistic regression were used to analyze the data. The findings showed a low dropout rate and a significant relationship between gender and motivation in MOOCs. Also, females indicated higher motivation levels than males. In addition, there was a positive relationship between learners' motivation and completion of MOOCs. The results can be beneficial for online learning stakeholders as well as MOOCs providers, designers, and researchers in Saudi Arabia.
Recommended Citation
Alshehri, Farraj Ali, "The relationship between learners' motivation, gender, and completion of MOOCs in Saudi Arabia" (2018). Graduate Research Theses & Dissertations. 6157.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/6157
Extent
116 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Comments
Advisors: Ying Xie.||Committee members: Rebecca Hunt; Thomas Smith.||Includes illustrations.||Includes bibliographical references.