<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In recent years there has been a significant growth in the number of online courses known as MOOCs available via online providers such as edX and Coursera. The result has been a marked reduction in the clarity around the different course offerings and this has created a need to reconsider the classification schemes for MOOCs to help inform potential participants. Many classifications have been proposed which cover the needs of academics and providers but may not be suitable for learners choosing a course. In this paper, the various classifications used by MOOC providers and aggregator services to categorise MOOCs in presenting information to prospective learners are gathered and analysed. As a result, 13 different categories are identified, which cover information provided to learners before entering a course. These categories are then compared and combined with classifications from the literature to create a taxonomy centred round eight terms: Massive (e.g. enrolments), Open (e.g. pre-requisites), Online (e.g. Timings), Assessment, Pedagogy (e.g. instructor-led), Quality (e.g. reviews), Delivery (e.g. educators), Subject (e.g. Syllabus). Thus, producing a taxonomy capable of categorising MOOCs from a wider perspective.</p>
</abstract>

In recent years there has been a significant growth in the number of online courses known as MOOCs available via online providers such as edX and Coursera. The result has been a marked reduction in the clarity around the different course offerings and this has created a need to reconsider the classification schemes for MOOCs to help inform potential participants. Many classifications have been proposed which cover the needs of academics and providers but may not be suitable for learners choosing a course. In this paper, the various classifications used by MOOC providers and aggregator services to categorise MOOCs in presenting information to prospective learners are gathered and analysed. As a result, 13 different categories are identified, which cover information provided to learners before entering a course. These categories are then compared and combined with classifications from the literature to create a taxonomy centred round eight terms: Massive (e.g. enrolments), Open (e.g. pre-requisites), Online (e.g. Timings), Assessment, Pedagogy (e.g. instructor-led), Quality (e.g. reviews), Delivery (e.g. educators), Subject (e.g. Syllabus). Thus, producing a taxonomy capable of categorising MOOCs from a wider perspective.

A MOOC Taxonomy Based on Classification Schemes of MOOCs

European Journal of Open, Distance and E-Learning

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"A MOOC Taxonomy Based on Classification Schemes of MOOCs"}

In recent years there has been a significant growth in the number of online courses known as MOOCs available via online providers such as edX and Coursera. The...

A MOOC Taxonomy Based on Classification Schemes of MOOCs

Online veröffentlicht: 24. Jan. 2020

Seitenbereich: 85 - 103

DOI: https://doi.org/10.2478/eurodl-2019-0006

Schlüsselwörter
MOOC, taxonomy, classification

© 2019 Tharindu R. Liyanagunawardena et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A MOOC Taxonomy Based on Classification Schemes of MOOCs

Online veröffentlicht: 24. Jan. 2020

Seitenbereich: 85 - 103

DOI: https://doi.org/10.2478/eurodl-2019-0006

SchlüsselwörterMOOC, taxonomy, classification

© 2019 Tharindu R. Liyanagunawardena et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
MOOC, taxonomy, classification