Abstract
This study aims to apply sequential analysis to explore the effect of learning motivation on online learning behavioral patterns. The study participants were 160 graduate students, who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration based on a second-order cluster analysis. After performing a sequential analysis, this study revealed that highly motivated learners exhibited a relatively serious learning pattern in a multi-tasking learning environment, and that online reading duration was a significant indicator of seriousness in taking an online course. Finally, relevant recommendations were made to instructors and researchers based on the results of the present study.
Original language | English |
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Pages (from-to) | 377-380 |
Number of pages | 4 |
Journal | Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 |
DOIs | |
State | Published - 31 Aug 2016 |
Event | 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan Duration: 10 Jul 2016 → 14 Jul 2016 |
Keywords
- Behavioral pattern
- Learning analytics
- Motivation
- Online learning
- Sequential analysis