scholarly journals Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model

2019 ◽  
Vol 10 ◽  
Author(s):  
Cheng-Min Chao
Author(s):  
Ekkalak Issaramanoros ◽  
Jintavee Khlaisang ◽  
Pakawan Pugsee

Access to quality education is now a huge challenge in Thailand with ever-increasing inequality between rural and urban populations. Existing teaching and learning facilities are no longer adequate. Mobile learning has been suggested as a sustainable and appropriate delivery mechanism to reduce this rural/urban education gap. Students are supplied with their own mobile device at no cost to learners or their families. Opportunities offered through mobile learning to auto mechanic education in Thailand were explored. Data from 384 auto mechanic students were collected and descriptive and multiple regression analyses were performed based on the unified theory of acceptance and use of technology 2 (UTAUT2) model. Results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and personal innovativeness were positively related to behavioral intention to use mobile learning. Furthermore, effort expectancy, hedonic motivation and personal innovativeness were the most significant predictors of behavioral intention to use mobile learning. Auto mechanic students in Thailand had positive perceptions toward mobile learning and the effect of students’ effort expectancy provided a better explanation for the adoption of mobile learning in auto mechanic education.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 208058-208074
Author(s):  
Jeya Amantha Kumar ◽  
Brandford Bervell ◽  
Nagaletchimee Annamalai ◽  
Sharifah Osman

2020 ◽  
Vol 7 ◽  
pp. 238212052097322
Author(s):  
Sevda Kucuk ◽  
Ozlem Baydas Onlu ◽  
Samet Kapakin

The use of mobile devices that have high technical capabilities has increased in the last years. These devices are appropriate instructional tools reflecting the trends in modern education by providing instant access to information that is used with mobile learning purposes. As is in many areas of education, m-learning has been becoming widespread in medical education. Therefore, medical students’ readiness for m-learning is highly important. This study aims to investigate how medical students’ beliefs influence their behavioral intention to use mobile devices for learning purposes. The 376 medical students (222 juniors, 154 sophomores; aged between 18 and 24 years; 214 males, 162 females) participated in this study. All participants had mobile devices. Data were collected through a survey. Structural equation modeling was used to analyze the findings. The proposed model, which is created based on the theory of planned behavior, was tested in the study. Based on the findings, the medical students’ perceived ease of use, perceived usefulness, learning autonomy, intention to use, perceived self-efficacy toward mobile devices, and m-learning are found to be high level. However, according to medical students, instructors’ readiness to apply m-learning has been found to be low level. The findings showed that the proposed model explains medical students’ behavioral intention to use m-learning reasonably well. The behavioral intention is explained with a variance of 76% in the model. Subjective norm is the main indicator of behavioral intention, followed by perceived behavioral control and attitude. The proposed model in the study could be useful to design m-learning applications, environments, and implementation plans effectively in medical education.


Author(s):  
Nahla Aljojo ◽  
Bashair Alsuhaimi

The availability of internet access has created a rapid change in learning. This paper aims to investigate the impact of effort expectancy and facilitating conditions on behavioral intention to use mobile learning for Taibah University students in Saudi Arabia by using the unified theory of acceptance and use of technology model. Quantitative research methodology is used, so that the research-proposed formulated hypothesis will be tested. A sample of 110 Taibah University students was drawn. A survey questionnaire was designed for data collections to measure the impact of effort expectancy and facilitating conditions on behavioral intention to use mobile learning for Taibah University students. The independent variables of the research model are effort expectancy and facilitating conditions. The dependent variable is behavioral intention to use. The data was analyzed using statistical techniques, including reliability, validity, and regression analysis. The results indicate that effort expectancy and facilitating conditions were significant and directly influenced students' behavioral intention to use mobile learning.


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