Structural Equation Modeling for Mobile Learning Acceptance by University Students: An Empirical Study

Quadri Noorulhasan Naveed, Mohammad Mahtab Alam and Nasser Tairan
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Quadri Noorulhasan Naveed: Department of Computer Science, College of Computer Science, King Khalid University, Abha 62529, Saudi Arabia
Mohammad Mahtab Alam: Department of Basic Medical Science, College of Applied Medical Science, King Khalid University, Abha 62529, Saudi Arabia
Nasser Tairan: Department of Computer Science, College of Computer Science, King Khalid University, Abha 62529, Saudi Arabia

Sustainability, 2020, vol. 12, issue 20, 1-17

Abstract: Advanced mobile devices and global internet services have enhanced the usage of smartphones in the education sector and their potential for fulfilling teaching and learning objectives. The current study is an attempt to assess the factors affecting mobile learning acceptance by Saudi university students. A theoretical model of mobile learning acceptance was developed based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model. Theoretically, five independent constructs were identified as most contributory towards the use of mobile learning and tested empirically. Data were collected through an online survey and analyzed using SmartPLS. The results of the study indicate that four constructs were significantly associated with mobile learning acceptance: perceived usefulness (β = 0.085, t = 2.201, and p = 0.028), perceived ease of use (β = 0.031, t = 1.688, and p = 0.013), attitude (β = 0.100, t = 3.771, and p = 0.037), and facilitating conditions (β = 0.765, t = 4.319, and p = 0.001). On the other hand, social influence was insignificant (β = −0.061, t = 0.136, and p = 0.256) for mobile learning acceptance. The contribution of social influence towards the use of mobile learning was negative and insignificant; hence, it was neglected. Thus, finally, four constructs (perceived usefulness, perceived ease of use, attitude, and facilitating conditions) were considered as important determinants of mobile learning acceptance by university students.

Keywords: mobile learning; M-Learning; structural equation modeling; technology acceptance model; unified theory of acceptance and use of technology model; university students (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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