International Journal of Advances in Applied Computational Intelligence
IJAACI
2833-5600
10.54216/IJAACI
https://www.americaspg.com/journals/show/1201
2022
2022
Predicting the actual use of social media sites among university communicators: using PLS-SEM and ML approaches
Department of Languages and Translation, The Applied College, Northern Border University, KSA
Aseel M.
Alfaisal
Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE
Aisha
Zare
Faculty of Business and Law, The British University in Dubai, UAE
Afrah
Alshaafi
Department of Languages and Translation, The Applied College, Northern Border University, KSA
Rose
Aljanada
Faculty of Art, Computing and Creative Industries, Universiti Pendidikan Sultan Idris, Malaysia
Raghad M.
Alfaisal
Faculty of Arts, Department of English Language and Literature, Yarmouk University, Irbid, Jordan
Ghadeer W.
Abukhalil
Studies on the acceptance of social media apps are being conducted at an increasing rate. The factors influencing its popularity for learning reasons are still not well understood, though. The goal of this study is to create a conceptual model that extends the Technology Adoption Model (TAM) to account for perceived playfulness to gauge students' acceptance of social media in learning. A total of 623 authenticated questionnaire surveys were obtained from students enrolled at a reputed university in the United Arab Emirates (UAE). Tools such as partial least squares-structural equation modeling (PLS-SEM) and machine learning approaches were obtained to examine the collected data. According to the research findings, significant parameters of students' intention to use social media networks for education include perceived playfulness, perceived usefulness, and perceived ease of use.
2022
2022
23
33
10.54216/IJAACI.010102
https://www.americaspg.com/articleinfo/31/show/1201