Liu Xinqiao, Wang Jingxuan, Luo Yunfeng
School of Education, Tianjin University, Tianjin 300350, China.
School of Public Administration, University of Electronic Science and Technology of China, Chengdu 611731, China.
Behav Sci (Basel). 2025 May 24;15(6):728. doi: 10.3390/bs15060728.
With the rapid development of digital technology, the use of digital learning resources has become increasingly widespread and is now an integral part of higher education. However, there is a lack of research on engineering students' behavioral intention to use digital resources and their digital literacy. This study, which is based on two waves of longitudinal survey data from 422 Chinese engineering students, employs the unified theory of acceptance and use of technology 2 (UTAUT2) model to systematically analyze the factors influencing engineering students' behavioral intention to use digital learning resources and explore the longitudinal relationship between this intention and digital literacy. The results show that engineering students' behavioral intention to use digital learning resources positively predicts their digital literacy. Effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit are positively related to engineering students' behavioral intention, whereas performance expectancy and price value do not have significant effects. The findings extend the application of the UTAUT2 model in the context of digital education and reveal a longitudinal link between the use of digital learning resources and digital literacy. This provides theoretical support and practical guidance for optimizing digital learning environments, enhancing digital literacy in engineering students, and improving the design of teaching resources in higher education, contributing to the development of engineering education in China in the digital age.
随着数字技术的快速发展，数字学习资源的使用日益广泛，现已成为高等教育不可或缺的一部分。然而，对于工科学生使用数字资源的行为意向及其数字素养，目前缺乏相关研究。本研究基于对422名中国工科学生进行的两波纵向调查数据，运用技术接受与使用统一理论2（UTAUT2）模型，系统分析影响工科学生使用数字学习资源行为意向的因素，并探究该意向与数字素养之间的纵向关系。结果表明，工科学生使用数字学习资源的行为意向对其数字素养具有正向预测作用。努力期望、社会影响、便利条件、享乐动机和习惯与工科学生的行为意向呈正相关，而绩效期望和价格价值则没有显著影响。研究结果拓展了UTAUT2模型在数字教育背景下的应用，并揭示了数字学习资源使用与数字素养之间的纵向联系。这为优化数字学习环境、提升工科学生的数字素养以及改进高等教育教学资源设计提供了理论支持和实践指导，有助于推动中国数字时代工程教育的发展。
