Initial recommendations of MOOCs characteristics for academic discipline clusters

Massive Open Online Courses (known as MOOCs) have been introduced as an extensive and pervasive learning style in order to increase students’ performance. Many academics and students in Malaysian higher education institutions have begun to show their interest in applying MOOCs to deliver course mate...

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Main Authors: Salamon, H. M., Ali, N. M., Miskon, S., Ahmad, N.
Format: Article
Language:English
Published: Asian Research Publishing Network 2016
Subjects:
Online Access:http://eprints.utm.my/72563/1/HuzaifahMohdSalamon2016_InitialRecommendationsofMOOCS.pdf
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author Salamon, H. M.
Ali, N. M.
Miskon, S.
Ahmad, N.
author_facet Salamon, H. M.
Ali, N. M.
Miskon, S.
Ahmad, N.
author_sort Salamon, H. M.
collection ePrints
description Massive Open Online Courses (known as MOOCs) have been introduced as an extensive and pervasive learning style in order to increase students’ performance. Many academics and students in Malaysian higher education institutions have begun to show their interest in applying MOOCs to deliver course material or conduct distance education in an innovative way. However, there are no guidelines available to assist the application of MOOCs; in particular, there are no guidelines to help academics develop their own MOOCs based on their area of expertise. In the education domain, usually these areas of expertise are arranged according to certain groups referred to as academic discipline clusters. This study investigates existing MOOCs characteristics and recommends specific characteristics in relation to academic discipline clusters. Content analysis was carried out by exploring MOOCs characteristics implemented successfully in six universities worldwide. This included an examination of the platforms used and the courses that applied MOOCs. Based on the results, the desirable characteristics of MOOCs are recommended with regard to academic discipline clusters, with the Universiti Teknologi Malaysia used as a case study.
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spelling utm.eprints-725632017-11-27T02:58:51Z http://eprints.utm.my/72563/ Initial recommendations of MOOCs characteristics for academic discipline clusters Salamon, H. M. Ali, N. M. Miskon, S. Ahmad, N. QA75 Electronic computers. Computer science Massive Open Online Courses (known as MOOCs) have been introduced as an extensive and pervasive learning style in order to increase students’ performance. Many academics and students in Malaysian higher education institutions have begun to show their interest in applying MOOCs to deliver course material or conduct distance education in an innovative way. However, there are no guidelines available to assist the application of MOOCs; in particular, there are no guidelines to help academics develop their own MOOCs based on their area of expertise. In the education domain, usually these areas of expertise are arranged according to certain groups referred to as academic discipline clusters. This study investigates existing MOOCs characteristics and recommends specific characteristics in relation to academic discipline clusters. Content analysis was carried out by exploring MOOCs characteristics implemented successfully in six universities worldwide. This included an examination of the platforms used and the courses that applied MOOCs. Based on the results, the desirable characteristics of MOOCs are recommended with regard to academic discipline clusters, with the Universiti Teknologi Malaysia used as a case study. Asian Research Publishing Network 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/72563/1/HuzaifahMohdSalamon2016_InitialRecommendationsofMOOCS.pdf Salamon, H. M. and Ali, N. M. and Miskon, S. and Ahmad, N. (2016) Initial recommendations of MOOCs characteristics for academic discipline clusters. Journal of Theoretical and Applied Information Technology, 87 (2). pp. 204-213. ISSN 1992-8645 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969504930&partnerID=40&md5=9ee838970404ef7e1eb18a775751aae0
spellingShingle QA75 Electronic computers. Computer science
Salamon, H. M.
Ali, N. M.
Miskon, S.
Ahmad, N.
Initial recommendations of MOOCs characteristics for academic discipline clusters
title Initial recommendations of MOOCs characteristics for academic discipline clusters
title_full Initial recommendations of MOOCs characteristics for academic discipline clusters
title_fullStr Initial recommendations of MOOCs characteristics for academic discipline clusters
title_full_unstemmed Initial recommendations of MOOCs characteristics for academic discipline clusters
title_short Initial recommendations of MOOCs characteristics for academic discipline clusters
title_sort initial recommendations of moocs characteristics for academic discipline clusters
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/72563/1/HuzaifahMohdSalamon2016_InitialRecommendationsofMOOCS.pdf
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