Night Owl vs Early Bird: Students’ Study Habits, Learning Styles and Academic Performance (66769)

Session Information:

Session: On Demand
Room: Virtual Video Presentation
Presentation Type:Virtual Presentation

All presentation times are UTC-10 (Pacific/Honolulu)

Chronotypes refer to a specific period for people to wake up and sleep. Students with different chronotypes could have distinct learning styles and study habits. The different preferred ways of learning would also have an impact on their academic performance. Every student’s learning capacity and learning habits should be taken into consideration to be able to receive effective education. This study will explore the possible relationship of chronotype also known here as a night owl and early bird with learning style, study habits, and academic performance among university students. A mixed-method with exploratory design will be utilized in this research. The researchers will also employ the triangulation method to understand deeper the existing phenomena and provide a better framework for the study. The study population will be composed of 300 students randomly chosen from Wenzhou Kean University. The result of this study will contribute to the university by developing some policy programs suitable to the study habit and learning styles of students. This research will be helpful for teachers to adjust their learning contents and teaching pedagogies within different periods. University students could also shift their schedule according to the research result, helping themselves maintain better physical and mental health while also performing well in their academic life.

Authors:
Rosalie Palaroan, Wenzhou Kean University, China
Xiangyu Li, Wenzhou Kean University, China
Jing He, Wenzhou Kean University, China
Yinjing Lin, Wenzhou Kean University, China
Yimeng Zhao, Wenzhou Kean University, China


About the Presenter(s)
Dr Rosalie Palaroan is a University Professor/Principal Lecturer at Wenzhou Kean University in China

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00