Integrating Mobile Technology Quality Service, Trust and Cultural Factors Into Technology Acceptance of Mobile Learning: A Case of the Jordan Higher Education Institution
The success of mobile learning system in higher education depends a lot on the students‟ acceptance of the technology. From an early investigation, students at Jordanian higher educational institutions however are still unwilling to use mobile learning applications and services. The students‟ accept...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | https://etd.uum.edu.my/3370/1/MALEK_ZAKARYA_SALAMEH_ALKSASBEH.pdf https://etd.uum.edu.my/3370/2/MALEK_ZAKARYA_SALAMEH_ALKSASBEH.pdf https://etd.uum.edu.my/3370/ http://sierra.uum.edu.my/record=b1239720~S1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The success of mobile learning system in higher education depends a lot on the students‟ acceptance of the technology. From an early investigation, students at Jordanian higher educational institutions however are still unwilling to use mobile learning applications and services. The students‟ acceptance should be a key concern for the management of a university in considering the implementation of mobile learning system. The objective of this study is to identify the factors that influence the acceptance of mobile learning system based on the Technology Acceptance Model (TAM). A total of 500 questionnaires were distributed to five universities in Jordan, out of which 398 question-naires were returned, representing 79% response rate. Statistical techniques including bivariate correlation analyses, multiple linear and stepwise regression analyses, T-tests, and One-Way ANOVA were used. The results showed three core determinants: Culture, Trust, and Technology Service Quality as significantly influenced Perceived Usefulness and Perceived Ease of Use. Perceived Usefulness and Perceived Ease of Use moreover have significantly determined Attitude, while Perceived Usefulness and Attitude, have significantly determined users‟ Behavioral Intention. Among the five variables of culture, the study found Power Distance to be the most contributive variable, and Trust in University as the most contributive variable under the Trust factor. Meanwhile, the most contributive variable in Technology Service Quality factor is Accessibility. For the Demographic factors, the study proved that gender, mobile learning experience, and mobile internet experience have significantly influenced students‟ acceptance. Based on the results obtained, the study proposes a model of mobile learning acceptance based on TAM. A comprehensive understanding of this model will assist decision makers to enhance the acceptance of the mobile learning system among students in Jordanian higher educational institutions in the future. |
|---|