Protocol for a mixed-methods evaluation of a Massive Open Online Course on real world evidence
<p>Background: Increasing number of Massive Open Online Courses (MOOCs) are being used to train learners at scale in various healthcare related skills. However, many challenges in course delivery require further understanding, for example, factors exploring the reasons for high MOOC dropout ra...
Những tác giả chính: | Meinhert, E, Alturkistani, A, Brindley, D, Wells, G, Car, J |
---|---|
Định dạng: | Journal article |
Được phát hành: |
JMIR Publications
2018
|
Những quyển sách tương tự
-
Protocol for a mixed-methods evaluation of a Massive Open Online Course on real world evidence
Bằng: Meinert, E, et al.
Được phát hành: (2018) -
Real world evidence for postgraduate students and professionals in healthcare: Protocol for the design of a blended Massive Open Online Course
Bằng: Meinert, E, et al.
Được phát hành: (2018) -
Determining the effectiveness of a Massive Open Online Course in Data Science for Health
Bằng: Alturkistani, A, et al.
Được phát hành: (2018) -
Massive Open Online Courses (MOOC) evaluation methods: Protocol for a systematic review
Bằng: Foley, K, et al.
Được phát hành: (2019) -
Data collection approaches to enable evaluation of a Massive Open Online Course about data science for continuing education in health care: Case study
Bằng: Alturkistani, A, et al.
Được phát hành: (2019)