An Analysis of Course Characteristics, Learner Characteristics, and Certification Rates in MITx Moocs
Bibliographic Data
| ID | 21729513 |
|---|---|
| Authors | Berkan Çelik (0000-0002-7068-8918, Van Yüzüncü Yıl Üniversitesi), Kürşat Çağıltay (0000-0003-1973-7056, Middle East Technical University), Nergiz Ercil Cagiltay (0000-0003-0875-9276, Atilim University) |
| Year | 2020 |
| Volume | 21 |
| Issue | 3 |
| Publication date | 2020-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The International Review of Research in Open and Distributed Learning (JOURNAL) |
| Journal identifiers | ISSN: 1492-3831 • E-ISSN: 1492-3831 |
| Publisher | Athabasca University Press (PUBLISHER • CA) |
| DOI | 10.19173/irrodl.v21i3.4698 |
| OpenAlex | W3084725669 |
| Language | EN |
| Citations received | 6 |
| References cited | 9 |
Massive Open Online Courses (MOOCs), capable of providing free (or low cost) courses for millions of learners anytime and anywhere, have gained the attention of researchers, educational institutions, and learners worldwide. Even though they provide several benefits, there are still some criticisms of MOOCs. For instance, MOOCs’ high dropout rates or predominantly elite participation are considered to be important problems. In order to develop solutions for these problems, a deeper understanding of MOOCs is required. Today, despite the availability of several research studies about MOOCs, there is a shortage of in-depth research on course characteristics, learner characteristics, and predictors of certification rates. This study examined MOOC and learner characteristics in detail and explored the predictors of course certification rates based on data from 122 Massachusetts Institute of Technology MOOCs (MITx) on edX platform as well as data about the 2.8 million participants registered in these MOOCs. The results indicated that as the number of courses offered and the number of learners enrolled increased in years, there was a decrease in the certification rates among enrolled learners. According to our results, the number of average chapters completed, total forum messages, and mean age predicted course certification rates positively. On the other hand, the total number of chapters in a course predicted the course certification rates negatively. Based on these results, shorter and more interactive MOOCs are recommended by considering the needs of the learners, course content design, and strategies encouraging the enrolled students to enter the courses
Certification · Economic shortage · Massive open online course · Mathematics education · Medical education · Political science · Computer Science · E-Learning and Knowledge Management · Medicine · Online Learning and Analytics · Psychology
Navigating the Learning Landscape
Large scale analytics of global and regional Mooc providers
Are Mooc learning designs culturally inclusive (enough)
Exploring the Influence of Countries’ Economic Conditions on Massive Open Online Course (Mooc) Participation
Measuring the effects of course modularizations in online courses for life-long learners
The study on the influence factors of intention to continue using Moocs
Research Methods in Education
Research Methods in Education
Students’ and instructors’ use of massive open online courses (Moocs)
Instructional quality of Massive Open Online Courses (Moocs)
Exploring the factors affecting Mooc retention
Social Research Methods
Exploring the factors affecting learners’ continuance intention of Moocs for online collaborative learning
Emerging patterns in Moocs
Predictors of Retention and Achievement in a Massive Open Online Course
| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |