Towards Quality Assurance in Moocs
A Comprehensive Review and Micro-Level Framework
Bibliographic Data
| ID | 21729287 |
|---|---|
| Authors | Hanane Sebbeq (Mohammed V University), Nour-eddine El Faddouli (0000-0002-3467-2177, Mohammed V University) |
| Year | 2024 |
| Volume | 25 |
| Issue | 1 |
| Pages | 1-23 |
| Publication date | 2024-03-01 |
| 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.v25i1.7544 |
| OpenAlex | W4392351424 |
| Language | EN |
| References cited | 16 |
MOOCs (massive open online courses), because of their scale and accessibility, have become a major area of interest in contemporary education. However, despite their growing popularity, the question of their quality remains a central concern, partly due to the lack of consensus on the criteria establishing such quality. This study set out to fill this gap by carrying out a systematic review of the existing literature on MOOC quality and proposing a specific quality assurance framework at a micro level. The methodology employed in this research consisted of a careful analysis of MOOC success factor’s using Biggs’ classification scheme, conducted over a four-year period from 2018 to 2022. The results highlighted the compelling need to consider various indicators across presage, process, and product variables when designing and evaluating MOOCs. This implied paying particular attention to pedagogical quality, both from the learner’s and the teacher’s point of view. The quality framework thus developed is of significant importance. It offers valuable guidance to MOOC designers, learners, and researchers, providing them with an in-depth understanding of the key elements contributing to MOOC quality and facilitating their continuous improvement. In addition, this study highlighted the need to address aspects for future research, including large-scale automated evaluation of MOOCs. By focusing on pedagogical quality, MOOCs can play a vital role in providing meaningful learning experiences, maximizing learner satisfaction, and ensuring their success as innovative educational systems adapted to the changing needs of contemporary education
Business · Knowledge management · Quality assurance · Computer Science · Online Learning and Analytics · Marketing
Learner engagement in Moocs
Guidelines for snowballing in systematic literature studies and a replication in software engineering
From Theory to Practice
Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 Moocs through systematic and sentiment analyses
Learner and instructor-related challenges for learners’ engagement in Moocs
Design and validation of a diagnostic Mooc evaluation method combining AHP and text mining algorithms
Predicting completion of massive open online course (Mooc) assignments from video viewing behavior
Understanding continuance intention among Mooc participants
Automated detection of emotional and cognitive engagement in Mooc discussions to predict learning achievement
Key factors in Mooc pedagogy based on NLP sentiment analysis of learner reviews
What predicts student satisfaction with Moocs
Challenges to assessing motivation in Mooc learners
Educational scalability in Moocs
Analysing adaptive gamification design principles for online courses
Engagement and desertion in Moocs
Motivation by gamification
| Highly cited | No |
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