Chinese College Students’ Experiences of Using the Learning Management System and Their Sense of Online Classroom Community during the COVID-19 Pandemic

Authors

Abstract

This study examines Chinese college students’ experiences of using the learning management system (LMS) including their technology anxiety (ANX) of using an LMS, perceived ease of use of an LMS (PEU), computer self-efficacy (CSE), and their sense of classroom community (CCS) in synchronous, asynchronous, and blend of both synchronous and asynchronous online courses during the COVID-19 pandemic. This study further investigates the relationship between CCS, ANX, PEU, and CSE using ANX, PEU, and CSE as predictors. Results indicate that students’ ANX and CSE are associated with their CCS regardless of the learning formats. It is expected that this study would enlighten Chinese higher education professionals to enhance students’ online learning experience and establish a supportive online community.

How to cite:

Lin, X., Huang, M., Zhang, Q. (2022). Chinese college students' experiences of using the learning management system and their sense of online classroom community during the COVID-19 pandemic. In J. S. McKeown, K. Bista, & R. Y. Chan (Eds.), Global higher education during COVID-19: Policy, society, and technology (pp. 139-153). STAR Scholars. https://starscholars.org/product/global-education/

Author Biographies

  • Xi Lin

    XI LIN, Ph.D., is an Assistant Professor at East Carolina University. Her research focuses on online and distance learning as well as game-based learning. She also explores cross-cultural experience especially the adaptation of international students and faculty in the US institutions. Email: linxi18@ecu.edu

  • Mingyu Huang

    MINGYU HUANG, Ph.D., is an Assistant Professor at Beijing Dance Academy, China. Her research focuses on arts management, artistic bilingualism learning, and online learning. She is also interested in the adaptation of international art students and artists studying and living in China. Email: huangmingyu@bda.edu.cn

  • Qingchuan Zhang

    QINGCHUAN ZHANG, Ph.D., is an Assistant Professor at University of Science and Technology Beijing, China. He is the author of one book and more than 10 articles. His research focuses on semantic computing, natural language processing and data mining. Email: zqc1982@126.com

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Published

2021-09-19

Issue

2022: Global Higher Education During COVID-19: Policy, Society, and Technology

Section

COVID-19 and Global Higher Education (Completed)

How to Cite

Chinese College Students’ Experiences of Using the Learning Management System and Their Sense of Online Classroom Community during the COVID-19 Pandemic. (2021). Book Series, 139-153. https://ojed.org/gsm/article/view/2977