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...
Hlavní autoři: | Meinhert, E, Alturkistani, A, Brindley, D, Wells, G, Car, J |
---|---|
Médium: | Journal article |
Vydáno: |
JMIR Publications
2018
|
Podobné jednotky
-
Protocol for a mixed-methods evaluation of a Massive Open Online Course on real world evidence
Autor: Meinert, E, a další
Vydáno: (2018) -
Real world evidence for postgraduate students and professionals in healthcare: Protocol for the design of a blended Massive Open Online Course
Autor: Meinert, E, a další
Vydáno: (2018) -
Determining the effectiveness of a Massive Open Online Course in Data Science for Health
Autor: Alturkistani, A, a další
Vydáno: (2018) -
Massive Open Online Courses (MOOC) evaluation methods: Protocol for a systematic review
Autor: Foley, K, a další
Vydáno: (2019) -
Data collection approaches to enable evaluation of a Massive Open Online Course about data science for continuing education in health care: Case study
Autor: Alturkistani, A, a další
Vydáno: (2019)