Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

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Antecedents of Continuance Intention of Technology Acceptance Model (TAM) Associated with the Learning Management System (LMS) in Online-Merge-Offline (OMO) Learning

Authors
Shasha Yu1, 2, *, Xuejun Zhang3, Liang Wu4, Bo Wang1
1Xihua University, Chengdu, China
2Assumption University, Bangkok, Thailand
3Beihang University, Beijing, China
4Tianfu Research Institute, Beihang University, Chengdu, China
*Corresponding author. Email: yushasha@mail.xhu.edu.cn
Corresponding Author
Shasha Yu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_63How to use a DOI?
Keywords
learning Management system (LMS); Technology acceptance model (TAM); Information system success model (ISSM); Continuance intention (CI); online merge offline (OMO) learning
Abstract

The development of technology has promoted the progress of knowledge acquisition. This study aims to explore the primary predictors of motivation of Chinese students to continue using learning management system (LMS) in online-merge-offline (OMO) learning. Investigate the effects of the major predictors of system quality, instructor quality, and information quality on perceived usefulness and perceived satisfaction of the technology acceptance model (TAM), examine whether the main determinants of actual use predict the continuance usage intention of LMS, in response to the needs of university students to continue to use LMS for learning and development during the COVID-19 pandemic. Based on a quantitative approach using survey questionnaires as a data-gathering instrument. Cross-sectional data were obtained through an online survey of 624 students from Xihua University in China. Structural equation modeling (SEM) and Confirmatory factor analysis (CFA) are employed in this research. The results reveal that System quality and Instructor quality are the antecedents for improving learners’ perceived usefulness and satisfaction are the crucial factors to promote learners to continuance intention of LMS to participate in OMO learning.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_63
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_63How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shasha Yu
AU  - Xuejun Zhang
AU  - Liang Wu
AU  - Bo Wang
PY  - 2022
DA  - 2022/12/27
TI  - Antecedents of Continuance Intention of Technology Acceptance Model (TAM) Associated with the Learning Management System (LMS) in Online-Merge-Offline (OMO) Learning
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 496
EP  - 509
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_63
DO  - 10.2991/978-94-6463-044-2_63
ID  - Yu2022
ER  -