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      Social media use in higher education: Building a structural equation model for student satisfaction and performance

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          Abstract

          Social media utilization at the student-level has become more prevalent contemporary higher education. Hence, this study is aimed at developing a specific model, along with the behavioral intention to use, to explore educational quality, actual social media use, and task-technology fit that affects student satisfaction and performance impact through examining the synergies of constructivism, user acceptance and usage of information technology, and technology acceptance. To test, a survey was administered to 430 students across five Malaysian universities. Through structural equation modeling, findings indicate that to improve student satisfaction and student performance through embedded social media, students need to have opportunities to collaborate on learning, have easy access to social media, perceive such use to be easy, and have aligned expectation on performance and effort. Interestingly, the actual social media use, was the only variable in the model that did not predict student satisfaction, despite its role in predicting student performance. The study highlights that constructivist learning, as well as task-technology fit over social media, enhances the students' learning experience and enables knowledge sharing and dissemination. The effect of using social media on student satisfaction and academic performance highlights that all students think that it is adequate for their instructors to improve their usage of social media tools. Therefore, we advocate learners and students employing social media for academic purposes with the help of lecturers at higher teaching organizations and institutions.

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          Most cited references112

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          Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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              An assessment of the use of partial least squares structural equation modeling in marketing research

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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                20 September 2022
                2022
                : 10
                : 1003007
                Affiliations
                [1] 1Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia , Parit Raja, Malaysia
                [2] 2Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia , Skudai, Malaysia
                [3] 3Faculty of Education, Education Technology Department, King Faisal University , Al Hofuf, Saudi Arabia
                [4] 4Faculty of Education, University of Tasmania , Launceston, TAS, Australia
                Author notes

                Edited by: Natalia Kryvinska, Comenius University, Slovakia

                Reviewed by: Engin Baysen, Near East University, Cyprus; Mohammed Habes, Yarmouk University, Jordan

                *Correspondence: Ali Mugahed Al-Rahmi ali.alrahmi1@ 123456gmail.com
                Waleed Mugahed Al-Rahmi waleed.alrahmi1@ 123456gmail.com

                This article was submitted to Digital Public Health, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2022.1003007
                9530898
                36203665
                cddf2c01-a42e-4711-bc0c-41084041000d
                Copyright © 2022 Al-Rahmi, Shamsuddin, Wahab, Al-Rahmi, Alyoussef and Crawford.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 July 2022
                : 24 August 2022
                Page count
                Figures: 2, Tables: 4, Equations: 0, References: 113, Pages: 15, Words: 10461
                Categories
                Public Health
                Original Research

                user acceptance,task-technology fit,social media,technology acceptance model,performance expectancy,performance impact,higher education,behavioral intention

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