Mobile Learning Adoption: An Empirical Investigation for Engineering Education

The emergence of mobile learning or m-Learning indicates a new opportunity for the education industry. Yet, there is a lack of a comprehensive understanding about the factors that influence its effective adoption. Further, it is unclear how to implement m-Learning that incorporate all stakeholders' perspectives. Built on Unified Theory of Acceptance and Use of Technology (UTAUT), this paper presents an extended adoption model and an empirical evaluation using data collected from a survey of engineering students (N = 377). The structural equation modeling technique is used to evaluate the causal model and confirmatory factor analysis is performed to examine the reliability and validity of the measurement model. Our findings indicate that performance expectancy, attainment value, self-management of learning, ubiquity, service quality, and perceived enjoyment significantly affected m-Learning adoption intention. The implication of this study to educators, system designers, and university administrators is discussed.