Predictors of Massive Open Online Courses (MOOC) Learning Satisfaction: A Recipe for Success.
Massive Open Online Courses (MOOCs) have recently gained great attention. However, the biggest challenge to the success of MOOCs is their low completion rate. During the lockdown of the COVID-19 pandemic, MOOCs were in high demand by many higher education institutions to replace their face-to-face l...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 30; no. 4; pp. 1781 - 1808 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=161022686&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 161022686 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: Dec2022 vid: 30 iid: 4 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 161022686 10.47836/pjssh.30.4.17 ppf: 1781 ppct: 27 formats: fmt: @attributes: type: P size: 5.6MB tig: atl: Predictors of Massive Open Online Courses (MOOC) Learning Satisfaction: A Recipe for Success. aug: au: Gan Tzyy Yang Yusop, Farrah Dina Chin Hai Leng affil: Curriculum and Instructional Technology Department, Faculty of Education, Universiti Malaya, Kuala Lumpur 50603, Malaysia su: Massive open online courses Higher education Distance education Students Courseware sug: subj: Massive open online courses Higher education Distance education Students Courseware keyword: interactivity Massive Open Online Courses (MOOC) online learner online learning student learning satisfaction technology system virtual learning effectiveness ab: Massive Open Online Courses (MOOCs) have recently gained great attention. However, the biggest challenge to the success of MOOCs is their low completion rate. During the lockdown of the COVID-19 pandemic, MOOCs were in high demand by many higher education institutions to replace their face-to-face lessons. MOOCs have great potential to grow and reinvent the way of learning in the 21st century. This study uses the Virtual Learning Environment (VLE) effectiveness model to understand how the five key factors (learner, instructor, course, technology system, and interactivity) influence student learning satisfaction from a holistic approach and determine the best predictor of student learning satisfaction in the MOOC learning environment. A set of online data based on a 5-point Likert scale was collected from 333 undergraduate students from the top five public universities in Malaysia whose students are actively using MOOCs in their learning. The Partial Least Squares Structural Equation Modelling (PLS-SEM) technique was used to analyse the data. The empirical results revealed that all factors significantly influence student learning satisfaction positively. Learner and interactivity factors were the strongest predictors in determining student learning satisfaction in MOOCs. These findings provide an empirically justified framework for developing successful online courses such as MOOCs in higher education. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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