학술논문

How Online Learning Readiness Can Predict Online Learning Emotional States and Expected Academic Outcomes: Testing a Theoretically Based Mediation Model
Document Type
Journal Articles
Reports - Research
Author
Chien, Hsiang-Yu (ORCID 0000-0002-2839-4748); Yeh, Yu-ChenKwok, Oi-Man
Source
Online Learning. Dec 2022 26(4):193-208.
Subject
Electronic Learning
Learning Readiness
Prediction
Psychological Patterns
Academic Achievement
College Students
COVID-19
Pandemics
Student Satisfaction
Expectation
Profiles
Language
English
ISSN
2472-5749
2472-5730
Abstract
During the pandemic, online courses became the major delivery format for most institutions of higher learning across the United States and around the world. However, many students experienced emotional distress as a result and have struggled to adapt to remote learning. To explore how emotional distress relatesto other aspects of online learning, including online learning readiness and academic outcome, we asked a sample of 80 college students to participate in an online survey in the fall semester of 2020. Two distinct online learning readiness patterns were found using k-means cluster analysis. Online learning-ready learners showed statistically significant differences from the not-ready online learners on anxiety, boredom, and satisfaction. Moreover, a three-path mediation model based on a theoretical relationship between online learning readiness, emotional state, and expectation of learning outcome was tested using structural equation modeling (SEM). Results showed that readiness positively predicted satisfaction; furthermore, only satisfaction predicted learning expectation and expected grade. The implications of these findings and limitations of the study are discussed.