Saudi Higher Education Student Acceptance of Mobile Learning

Afandi, Waleed Saeed

doi:10.18178/ijiet.2022.12.6.1647

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…This means that there are differences in facilitating conditions between the distance learning students, although all participants were capable to use m-learning as a main application to communicate during their distance learning experience. This confirms findings in other countries worldwide concerning m-learning during the Covid-19 crisis (Afandi, 2022). However, the beta values for the dimensions PE and SF were statistically insignificant (<0.05).…”

Section: Discussionsupporting

confidence: 88%

“…The current study's findings on social factors disagree with the results of previous studies, which may be attributable to the distance learning students in this study having only one way (i.e., distance learning) to undertake their studies in the Covid-19 context. Regular students (i.e., under normative situations) are more affected by social factors pertaining to the use of m-learning that seems to be linked to the greater variety of choices and options open to them (Afandi, 2022;Nikolopoulou, Gialamas and Lavidas, 2020).…”

Section: Discussionmentioning

confidence: 99%

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Investigating Factors M-Learning Acceptance and Use for Distance Learning Students in Higher Education

Masarweh

Afandi

2022

IJCRSEE

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Many research has been conducted to examine the acceptance factors to use mobile learning (m-learning) for regular students. During the COVID-19 most of the higher education institutions around the world were converted to m-learning especially for regular students, in order to continue supporting the educational stage for these students. This situation, allow researches to tested the use of m-learning for regular students while they are studying in distance learning environment. However, limited researches, especially in developing countries, have been tested the acceptance factors to use m-leaning for distance learning students. In this study the behavioral intention to use mobile learning (m-learning) were examined as well as the m-learning factors that affecting its acceptance amongst the distance learning students were outlined. The study framework was depended on the model of Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative approach was used to analyze the data that collected from a random sample of 154 male and female participants from Saudi universities. The results indicated that significant factors influencing distance learning students’ behavioral intention include quality of service, effort expectancy, facilitating conditions, gender, educational level, and type of device. The regulations governing distance learning programs and the implementation of mobile learning by Saudi universities under the direction of the Ministry of Higher Education are having a good impact and encouraging widespread use of m-learning.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Investigating Factors M-Learning Acceptance and Use for Distance Learning Students in Higher Education

Masarweh

Afandi

2022

IJCRSEE

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“…Based on 16 studies conducted between 2019 and 2022 in the field of intention and acceptance of the use of technology in the field of education in the context of Saudi Arabia which mentioned 33 factors affecting the acceptance as well as the actual intent to be used advanced technologies, which are the study of Khan et al (2021, Almaiah et al (2022), Afandi (2022), Alharbi et al (2021), Chatti andHadoussa (2021), Al-Ghurbani et al (2022), Alsmadi (2020), Alharbi et al (2019), Alammary et al (2021), Al-Shargabi et al (2021, Alshehri and Alahmari (2021), Binyamin et al (2019), Badwelan and Bahaddad (2021), and Alkhaldi et al (2021).…”

Section: Conceptual Model and Hypotheses Developmentmentioning

confidence: 99%

Determining factors that can influence the understanding and acceptance of advanced technologies in universities' teaching and learning

Al‐Mamary¹,

Al-Shammari²

2023

Int. j. adv. appl. sci.

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As Information and Communication Technologies (ICTs) have advanced, numerous new tools have been implemented to improve the effectiveness of instruction at the university level. It has had a ripple effect throughout Saudi Arabia's educational system. One of the results of this shift is the rise of e-learning, which requires technological means for delivery. Therefore, the purpose of this study is to investigate the elements that influence Saudi university students' acceptance of technology in teaching and learning. Data were obtained from 309 students. The data were analyzed using SPSS software. Surveys were used as the primary technique of data collection for this study. The results of the survey show that perceived ease of use, technical support, training, and content quality are expressively related to the acceptance of technology among university students. This study also provides evidence that there is a direct variation in people's acceptance of new technology, which helps explain 73.5 percent of people's acceptance of new technology. The results of the study will provide empirical data regarding the effective adoption of technology in Saudi universities, which will help in the growth of teaching and learning in the country. Similarly, the findings of the study may be of interest to researchers and policymakers in Saudi Arabia in providing the fundamentals for the acceptance and utilization of technology in education.

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Examining Undergraduate Students’ Behavioral Intentions for M-Learning using Theoretical Framework of UTAUT

Srivastava,

Bhati

2023

2023 IEEE International Conference on Contemporary Computing and Communications (InC4)

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Saudi Higher Education Student Acceptance of Mobile Learning

Cited by 4 publications

References 21 publications

Investigating Factors M-Learning Acceptance and Use for Distance Learning Students in Higher Education

Investigating Factors M-Learning Acceptance and Use for Distance Learning Students in Higher Education

Determining factors that can influence the understanding and acceptance of advanced technologies in universities' teaching and learning

Examining Undergraduate Students’ Behavioral Intentions for M-Learning using Theoretical Framework of UTAUT

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