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Open data: an innovative learning resource for postgraduates

Wuxiang Dai (College of Public Administration, Huazhong University of Science and Technology, Wuhan, China)
Yucen Zhou (College of Public Administration, Huazhong University of Science and Technology, Wuhan, China)
Congcong Zhang (Zhengzhou University, Zhengzhou, China)
Hui Zhang (China University of Mining and Technology, Beijing, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 17 January 2023

191

Abstract

Purpose

With the continuous development of the global COVID-19 epidemic, mobile learning has become one of the most significant learning approaches. The mobile learning resource is the basis of mobile learning; it may directly affect the effectiveness of mobile learning. However, the current learning resources cannot meet users' needs. This study aims to analyze the influencing factors of accepting open data as learning resources among users.

Design/methodology/approach

Based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT), this study proposed a comprehensive theoretical research model. Data were obtained from 398 postgraduates from several universities in central China. Confirmatory factor analysis was used to determine the reliability and validity of the measurement model. Data has been analyzed using SPSS and AMOS software.

Findings

The results suggested that perceived usefulness, performance expectancy, social influence and facilitating conditions have a positive influence on accepting open data as learning resources. Perceived ease of use was not found significant. Moreover, it was further shown in the study that behavioural intention significantly influenced the acceptance of open data as learning resources.

Originality/value

There is a lack of research on open data as learning resources in developing countries, especially in China. This study addresses the gap and helps us understand the acceptance of open data as learning resources in higher education. This study also pays attention to postgraduates' choice of learning resources, which has been little noticed before. Additionally, this study offers opportunities for further studies on the continuous usage of open data in higher education.

Keywords

Citation

Dai, W., Zhou, Y., Zhang, C. and Zhang, H. (2023), "Open data: an innovative learning resource for postgraduates", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-05-2022-0228

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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