Massive Open Online Courses (MOOCs): data on higher education
The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of Massive Open Online Courses (MOOCs) in higher education from 2012 to 2017. Consequently, the extant, peer-reviewed literature relating to MOOCs was methodically assessed, a...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English English English |
Published: |
Elsevier
2019
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Subjects: | |
Online Access: | http://irep.iium.edu.my/71211/1/71211%20Massive%20Open%20Online%20Courses.pdf http://irep.iium.edu.my/71211/2/71211%20Massive%20Open%20Online%20Courses%20WOS.pdf http://irep.iium.edu.my/71211/3/71121_Massive%20Open%20Online%20Courses_SCOPUS.pdf http://irep.iium.edu.my/71211/ https://ac.els-cdn.com/S2352340918315324/1-s2.0-S2352340918315324-main.pdf?_tid=37a47755-6d33-48d1-9e4a-760cf68523a5&acdnat=1552981603_562636477bcdef44803fb904545dc3d0 |
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Summary: | The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of
Massive Open Online Courses (MOOCs) in higher education from
2012 to 2017. Consequently, the extant, peer-reviewed literature
relating to MOOCs was methodically assessed, as a means of formulating a classification for MOOC-focused scholarly literature.
The publication journal, country of origin, researchers, release
data, theoretical approach, models, methodology and study participants were all factors used to assess and categorise the MOOC.
These data contribute to materials required by readers who are
interested in different aspects related to the literature of using
Massive Open Online Courses (MOOCs) in higher education.
Intention to use, interaction, engagement, motivations and satisfaction were five dynamics assessed in relation to the improvement of MOOCs. Students’ academic performance can be influenced by MOOC which has the advantage of facilitating the
learning process through offering materials and enabling the share
of information |
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