Examination of factors influencing the use of mobile learning system: An empirical study

• Published in: Education and information technologies Vol. 24; no. 1; pp. 885 - 909
• Main Authors: Almaiah, Mohammed Amin, Alismaiel, Omar Abdulwahab
• Format: Journal Article
• Language: English
• Published: New York Springer US 15.01.2019; Springer; Springer Nature B.V
• Subjects: Analysis; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Education; Educational Quality; Educational Technology; Electronic Learning; Handheld Devices; Influences; Information management; Information Systems Applications (incl.Internet); Intention; Quality of service; Student Attitudes; Student Satisfaction; Surveys; Technology Acceptance Model; Technology Uses in Education; Telecommunications; User Interfaces and Human Computer Interaction; Canada; Mobile learning; Jordan; Quality factors; DeLone and McLean’s model; TAM model; Satisfaction
• ISSN: 1360-2357; 1573-7608
• DOI: 10.1007/s10639-018-9810-7

Past studies have placed little emphasis on quality factors as the detebile learning application provides me a promptrminants of mobile learning adoption. Thus, this study’s purpose is to integrate the Technology Acceptance Model (TAM) with the updated DeLone and McLean’s model (DL&ML) to examine whether quality factors (including system quality, information quality, and service quality) and individual beliefs (including perceived usefulness and perceived ease of use) are the antecedents to students’ satisfaction and their intention to use, leading to enhancing their actual usage of mobile learning system. A total of 400 questionnaires were distributed. The results showed that quality factors (including system quality, information quality, and service quality) had significant effects on students’ satisfaction and their intention to use mobile learning; besides, perceived usefulness has significantly strong impacts on intention to use mobile learning, and satisfaction and intention to use both have significant effects on actual use of mobile learning. This study opens future work for using the identified quality factors as guidelines for researchers and designers to design and develop mobile learning applications.