Figure 1
Conceptual Framework for the Explanatory Sequential Mixed Methods Design.
Table 1
Description of MOOCs selected for research.
| SELECTED COURSES | PLATFORM | DISCIPLINE | COURSE DURATION | COURSE LEVEL |
|---|---|---|---|---|
| Course A | Coursera | Medicine and Data Visualisation | 4 Weeks | Intermediate |
| Course B | Coursera | Diversity and Inclusion | 4 Weeks | Intermediate |
| Course C | FutureLearn | Creative Arts and History | 5 Weeks | Beginner |
| Course D | FutureLearn | Education | 3 Weeks | Beginner |
| Course E | FutureLearn | Culture and History | 4 Weeks | Beginner |
| Course F | FutureLearn | Computer Science | 6 Weeks | Intermediate |
| Course G | FutureLearn | Health and Medicine | 2 Weeks | Beginner |
| Course H | FutureLearn | Teaching and Data Science | 3 Weeks | Beginner |
Figure 2
Triangulation Method Used for the Creation of Data Categories.
Figure 3
FutureLearn Drop-off Rate.
Figure 4
Reasons learners dislike videos, Coursera.
Figure 5
Acquisition Distribution Impact on Course Completion.
Figure 6
Quotes from Learner Feedback.
Figure 7
Increased Engagement Caused by Discussion (DIS) Learning Types.
Figure 8
Impact of Effective Investigation (INV) Steps on Engagement.
Figure 9
Quotes from Learner Feedback.
Figure 10
Assessment Opportunity Impact on Course Completion Rate (%).
Figure 11
Quotes from Learner Feedback.
Figure 12
Impact of Plug-ins and E-Learning Tools on Step Completion Rates (%) on FutureLearn Courses.
Figure 13
Coursera Item Feedback: Learner Satisfaction with Assessment Types (%).
Figure 14
Impact of Frequency and Sequencing of Learning Types (Course C).