A model for assessing student satisfaction with smart classroom environment in higher education

IF 5.1 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Journal of Computer Assisted Learning Pub Date : 2024-07-24 DOI:10.1111/jcal.13045

Zhicheng Dai, Ling Wang, Xian Peng, Liang Zhao, Junxia Xiong

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引用次数: 0

Abstract

Background

Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education.

Objectives

To assess students' satisfaction with smart classrooms in higher education, this study proposed the smart classroom environment satisfaction model based on TAM and ACSI models.

Methods

A sample of 1979 Chinese college students who studied in a smart classroom environment completed a survey assessing student satisfaction with the smart classroom environment. And a structural equation modelling analysis was used to further analyse students' preferences for smart classroom environments.

Results and conclusions

The results showed that student satisfaction with smart classroom environment is significantly correlated with subjective perception factors after use, such as students' perceived value (PV), user experience and perceived expectations (PE). It indicated that user experience indirectly affected overall satisfaction (OS) through its positive impact on PV, while PE indirectly affected OS through its positive impact on user experience. Second, user experience had the greatest impact on student satisfaction, followed by PV and PE. This study is a theoretical supplement to future research on smart classroom environment in higher education, and can also provide reference for relevant government departments, universities and enterprises to build and manage smart classroom environment.

查看原文本刊更多论文

高校智能教室环境学生满意度评估模型

为了评估高校学生对智能教室的满意度，本研究在TAM和ACSI模型的基础上提出了智能教室环境满意度模型，对1979名在智能教室环境中学习的中国大学生进行了问卷调查，评估学生对智能教室环境的满意度。结果表明，学生对智慧教室环境的满意度与使用后的主观感知因素，如学生的感知价值（PV）、用户体验和感知期望（PE）显著相关。结果表明，用户体验通过对感知价值的正向影响间接影响总体满意度（OS），而感知期望通过对用户体验的正向影响间接影响总体满意度（OS）。其次，用户体验对学生满意度的影响最大，其次是 PV 和 PE。本研究是对今后高校智慧教室环境研究的理论补充，也可为相关政府部门、高校和企业建设和管理智慧教室环境提供参考。

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来源期刊

Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

9.70

自引率

6.00%

发文量

116

期刊介绍： The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope