Cluster Analysis of College Students’ Online Classes Experience

2021 ◽  
pp. 57-61
Author(s):  
Junda Lian ◽  
Bo Zhang ◽  
Xiaoyang Gong ◽  
Linpeng Ban
Keyword(s):  
College Students ◽  
Cluster Analysis ◽  
Online Classes

Exploring University Students’ Perceptions Of Online Physical Education Class As Participants: A Qualitative Case Study

2021 ◽  
Vol 7 (5) ◽  
pp. 3559-3575
Author(s):  
Zhao Jia ◽  
Dandan Tang ◽  
Borhannudin Bin Abdullah ◽  
Roxana Dev Omar Dev ◽  
Shamsulariffin bin Samsudin
Keyword(s):  
College Students ◽  
Physical Education ◽  
University Students ◽  
Online Courses ◽  
Online Classes ◽  
Face To Face ◽  
University Of Technology ◽  
Face To Face Learning

Compare face to face learning, the implication of online courses has been discussed for several years in higher education. However, in 2020 the rise of the global COVID-19 pandemic has created obvious shifts in university students’ life. In order to ensure the “suspension of classes”, university students took part more in online classes compare to physical education (PE) classes in China. It is significant to explore students’ views on PE online learning that is benefit for teachers to provide students with high quality of online PE courses, which will be better to guide students to take PE lessons and also improve students’ health. This study investigated the issues of students’ perceptions toward online physical education courses in Tianjin University of Technology in China based on a case study. The findings of this study indicate that some students don’t like taking online PE courses due to there were some disadvantages of online PE lesson. Some students enjoy taking online PE courses because of the interesting sports videos. This study also explored teachers’ view on how to motivate college students to engage in physical education classes and recommends specific strategies for teachers to motivate college students to take online PE courses.

scholarly journals Irregular sleep and event schedules are associated with poorer self-reported well-being in US college students

SLEEP ◽  
2019 ◽  
Vol 43 (6) ◽  
Author(s):  
Dorothee Fischer ◽  
Andrew W McHill ◽  
Akane Sano ◽  
Rosalind W Picard ◽  
Laura K Barger ◽  
...  
Keyword(s):  
College Students ◽  
Cluster Analysis ◽  
Sleep Duration ◽  
Well Being ◽  
Early Morning ◽  
Time Varying ◽  
Clinical Trial Registration ◽  
Systematic Relationship ◽  
Phase Deviation ◽  
Time Varying Covariates

Abstract Study Objectives Sleep regularity, in addition to duration and timing, is predictive of daily variations in well-being. One possible contributor to changes in these sleep dimensions are early morning scheduled events. We applied a composite metric—the Composite Phase Deviation (CPD)—to assess mistiming and irregularity of both sleep and event schedules to examine their relationship with self-reported well-being in US college students. Methods Daily well-being, actigraphy, and timing of sleep and first scheduled events (academic/exercise/other) were collected for approximately 30 days from 223 US college students (37% females) between 2013 and 2016. Participants rated well-being daily upon awakening on five scales: Sleepy–Alert, Sad–Happy, Sluggish–Energetic, Sick–Healthy, and Stressed–Calm. A longitudinal growth model with time-varying covariates was used to assess relationships between sleep variables (i.e. CPDSleep, sleep duration, and midsleep time) and daily and average well-being. Cluster analysis was used to examine relationships between CPD for sleep vs. event schedules. Results CPD for sleep was a significant predictor of average well-being (e.g. Stressed–Calm: b = −6.3, p < 0.01), whereas sleep duration was a significant predictor of daily well-being (Stressed–Calm, b = 1.0, p < 0.001). Although cluster analysis revealed no systematic relationship between CPD for sleep vs. event schedules (i.e. more mistimed/irregular events were not associated with more mistimed/irregular sleep), they interacted upon well-being: the poorest well-being was reported by students for whom both sleep and event schedules were mistimed and irregular. Conclusions Sleep regularity and duration may be risk factors for lower well-being in college students. Stabilizing sleep and/or event schedules may help improve well-being. Clinical Trial Registration NCT02846077.

scholarly journals The use of cluster analysis in typological research on community college students

2011 ◽  
Vol 2011 (S1) ◽  
pp. 67-81 ◽  
Author(s):  
Peter Riley Bahr ◽  
Rob Bielby ◽  
Emily House
Keyword(s):  
College Students ◽  
Community College ◽  
Cluster Analysis ◽  
Community College Students
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