Research Article
The Bearing of Culture upon Intention to Utilize D-learning Amongst Jordanian University Students: Modernizing with Emerging Technologies
@INPROCEEDINGS{10.1007/978-3-030-23943-5_21, author={Saleem Al-Zoubi and Maaruf Ali}, title={The Bearing of Culture upon Intention to Utilize D-learning Amongst Jordanian University Students: Modernizing with Emerging Technologies}, proceedings={Emerging Technologies in Computing. Second International Conference, iCETiC 2019, London, UK, August 19--20, 2019, Proceedings}, proceedings_a={ICETIC}, year={2019}, month={7}, keywords={Unified theory of acceptance and use of technology model UTAUT D-learning Mobile learning services Mobile learning M-learning Culture E-learning}, doi={10.1007/978-3-030-23943-5_21} }- Saleem Al-Zoubi
Maaruf Ali
Year: 2019
The Bearing of Culture upon Intention to Utilize D-learning Amongst Jordanian University Students: Modernizing with Emerging Technologies
ICETIC
Springer
DOI: 10.1007/978-3-030-23943-5_21
Abstract
An investigation into the variables that have a bearing on the acceptance of D-learning (Digital-learning) services such as Electronic-learning and Mobile-learning, in two universities of Jordan is presented along with a discussion on modernizing in particular m-learning with emerging technologies. The study fuses the Unified Theory of Acceptance and Use of Technology (UTAUT) model with the cultural paradigm. 100 valid questionnaires distributed to random Jordanian students in two cities were used to collect the primary data. The IBM SPSS (Statistical Package for the Social Sciences) software platform was used to analyze the data. The validity of the overall model was proven statistically with an acceptable data match with the measurement model. The findings show that the factor with the on “-” is the “-”. Whilst the influence with the on “-” is “”. The conclusions are that the: has a significant and positive impact on the “” and “”. “” and “” have the greater impact on the “”, which consequently influences the students’ “-”. Emerging technologies such as the Cloud, AI (Artificial Intelligence) and the Blockchain and how they may be utilized to enhance the delivery of M-learning is discussed throughout the paper.