Promoting engagement in online courses: What strategies can we learn from three highly rated MOOCS
By Khe Foon Timothy Hew. British Journal of Educational Technology, 2016
468 citations recorded by the source corpus.
Subfields: Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/ee9237d86e9cb8970ee2b5243acdccda72f83c21
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Education
Citations in the corpus
- Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018) (2020, background): “The concepts of Self-assessment [69]; Peer assessment [70], and Automated assessment [71] were also identified.”
- Student engagement in online learning in Latin American higher education during the COVID‐19 pandemic: A systematic review (2022, background): “This sudden change posed challenges to both teachers and students who were inadequately prepared for online learning because research indicates that engaging students in online learning environment is often more challenging than in traditional face- to- face courses (Gillett- Swan, 2017; Hew, 2016).”
- A structural equation model of predictors of online learners’ engagement and satisfaction (2019, background): “Previous research has indicated that many factors can influence online learners’ engagement—for example, using humor and feedback, choice of activities, presenting extra course resources, applying active learning approaches, using course tutors, and including motivational factors (Baker & Taylor, 20”