CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
The student centred learning is one of the e-learning service factors in universities and schools that have been improved with added values. Now, students can access the e-learning platform on a cloud server with their mobile devices. Several ways and practices in e-learning today include learning...
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| Main Authors: | , , |
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| Format: | Book Section |
| Language: | English English |
| Published: |
Institution of Engineering & Technology (IET)
2021
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/4763/1/FH05-FIK-21-51589.pdf http://eprints.unisza.edu.my/4763/2/FH05-FIK-21-56532.pdf http://eprints.unisza.edu.my/4763/ |
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| Summary: | The student centred learning is one of the e-learning service factors in universities and schools
that have been improved with added values. Now, students can access the e-learning platform on a
cloud server with their mobile devices. Several ways and practices in e-learning today include learning
management systems (LMS), blended learning, microlearning, mobile learning, open learning, selflearning, and virtual learning. Microlearning refers to the micro perspective in learning contact,
education, and exercise. Student engagement is one of the key indicators of a successful
implementation of e-learning. Those studies were carried out based on the educational data mining
technique, which is widely used in analysing the various patterns of online learning behaviour and
predicting learning outcomes. Another popular technique that uses a similar approach but with
different focus is learning analytics. © The Institution of Engineering and Technology 2021. |
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