Understanding Undergraduate Students' Adoption of Mobile Learning Model: A Perspective of the Extended UTAUT2

  title={Understanding Undergraduate Students' Adoption of Mobile Learning Model: A Perspective of the Extended UTAUT2},
  author={Shuiqing Yang},
  journal={Journal of Convergence Information Technology},
  • Shuiqing Yang
  • Published 31 May 2013
  • Business
  • Journal of Convergence Information Technology
Although mobile learning in higher education has recently received considerable attention, the fact remains that much of the scholarly effort has been limited to the notions of instrumentality. [] Key Result Structural equation analysis results indicate that hedonic motivation, performance expectancy, social influence, and price value positively affect students’ mobile learning adoption.

Figures and Tables from this paper

Solving the mystery of mobile learning adoption in higher education

A framework that is based on the unified theory of acceptance and use of technology (UTAUT) model is proposed, to explore the potential factors that may impact students’ intention to acceptance andUse of m-learning in developing countries such as Jordan, and reveals that effort expectancy, performance expectancy, trust expectancy, self-management of learning, system functionality and social influence are significant determinants ofm-learning adoption.

Habit and hedonic motivation are the strongest influences in mobile learning behaviours among higher education students in Malaysia

Mobile learning has become a common experience in higher education and in the professional workforce. However, the readiness of accounting students to engage in such learning appears to be weaker

Acceptance of e-learning applications by accounting students in an online learning environment at residential universities

Technology acceptance models have been used in the higher education context to understand students’ acceptance of various learning technologies. Not only was the use of e-learning technologies

Investigating the Factors Influencing Pre-Service Teachers' Acceptance to Use Mobile Devices for Learning

This chapter determines the factors that significantly influence pre-service teachers’ acceptance to use mobile devices as resources for learning in a university context. Based on the methodological

University Students Intention to Continue Using Online Learning Tools and Technologies: An International Comparison

Interestingly, self-management learning is a key factor that has a significant positive influence on continuance intention for the three countries, especially in Jordan, which differ economically and culturally.

Incremental impact of time on students' use of E-learning via Facebook

The results indicated that social network sites such as Facebook can be used as complementary tools to expose students to course-related links and documents, which will create extra time for learning, when they plan to spend time on Social network sites (Facebook) and interact and communicate with friends.

Factors Affecting Mobile Learning Acceptance in Higher Education: An Empirical Study

The findings show that students’ intention to adopt M-learning is shaped by various variables consisting of personnel innovativeness, self-management, facilitating conditions, social influence, relative advantage, and effort expectancy.

M-learning adoption of management students’: A case of India

  • Sadhna Shukla
  • Psychology
    Education and Information Technologies
  • 2020
The present study aims to interpret management student’s motivation to adopt m-learning and assesses the determinates impacting the behavioral intent of m-learning adoption. A comprehensive research

M-learning adoption of management students’: A case of India

  • Sadhna Shukla
  • Psychology
    Education and Information Technologies
  • 2020
The study outcomes reported that affective need, performance expectancy, effort expectancy, social influence and facilitating conditions positively impacted the student’s intent to use m-learning, whereas cognitive need was found to be insignificant in predicting and explicating the m- learning adoption.



Receptivity to Distance Learning: The Effect of Technology

AbstractRecent growth in distance learning (DL) represents a significant change to management education. Notwithstanding its importance, research on DL is at an early stage of development,

The acceptance and use of a virtual learning environment in China

The Impact of Task Technology Fit, Perceived Usability and Satisfaction on M-Learning Continuance Intention

The hypotheses demonstrating the effect of task-technology fit, cognitive behavior (perceived usefulness, perceived ease of use and cognitive absorption) and satisfaction on the intention of continuous use of M-Learning are discussed.

Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology

Compared to UTA UT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention and technology use and the theoretical and managerial implications of these results are discussed.

Towards Identifying Factors Underlying Readiness for Online Learning: An Exploratory Study

To test the potential value of McVay's (2000) Readiness for Online Learning questionnaire for research and practice, the instrument was administered to 107 undergraduate university students drawn

An empirical analysis of the adoption of m-learning in Malaysia

The results show that perceived ease of use, perceived usefulness, quality of services and cultural aspects have significant and positive effects on the adoption of m-learning in Malaysia.

Investigating the determinants and age and gender differences in the acceptance of mobile learning

The results indicate that performance expectancy, effort expectancy, social influence, perceived playfulness, and self-management of learning were all significant determinants of behavioural intention to use m-learning.


The main aim of this research study is to better understand and measure students' attitudes and perceptions towards the effectiveness of mobile learning. This paper reports on the results of a survey