Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education

Investigation of task-technology fit and intention to use social media tools needs to focus specifically on higher education for teaching and learning, and its impact on students’ academic performance. This article aims to develop a model that would identify essential aspects that are predicted t...

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Main Authors: Al-Rahmi, Ali Mugahed, Shamsuddin, Alina, Wahab, Eta, Al-Rahmi, Waleed Mugahed, Alturki, Uthman, Aldraiweesh, Ahmed, Almutairy, Sultan
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:http://eprints.uthm.edu.my/7631/
http://eprints.uthm.edu.my/7631/1/J14508_0c1f15f72df3e695cfcb1e71506f0408.pdf
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author Al-Rahmi, Ali Mugahed
Shamsuddin, Alina
Wahab, Eta
Al-Rahmi, Waleed Mugahed
Alturki, Uthman
Aldraiweesh, Ahmed
Almutairy, Sultan
author_facet Al-Rahmi, Ali Mugahed
Shamsuddin, Alina
Wahab, Eta
Al-Rahmi, Waleed Mugahed
Alturki, Uthman
Aldraiweesh, Ahmed
Almutairy, Sultan
author_sort Al-Rahmi, Ali Mugahed
building UTHM Institutional Repository
collection Online Access
description Investigation of task-technology fit and intention to use social media tools needs to focus specifically on higher education for teaching and learning, and its impact on students’ academic performance. This article aims to develop a model that would identify essential aspects that are predicted to continue to play a large role in TTF for learning in BI, which could be used to improve academic performance in higher education. The purpose of this study was to investigate the characteristics and aspects of SM and the relationship between their use in the TTF and UTAUT theory to determine how they affect research students’ satisfaction and AP in HE institutions. Data for the unified theory of acceptance and use of technology (UTAUT) and task-technology fit (TTF) theories were collected using a questionnaire survey. This research hypothesizes that behavioral intention to utilize social media and task-technology fit for learning will influence social characteristics, technology characteristics, performance expectancy, and effort expectancy, all of which will improve academic performance. As a test bed for this research, a structural equation model (SEM) was constructed examining the relationships between factors that affect students’ academic performance. A stratified random sample strategy was used to disseminate the main tool of data collection, a questionnaire, to 383 students. A quantitative method was used to examine the results. The obtained outcomes showed that there was a correlation among social characteristics, technological characteristics, behavioral intention to use social media, and task-technology fit for academic performance, which aided student performance and results. The study indicates that PEX and EEX also demonstrated a strong relation to task-technology fit and behavioral intent to use social media for academic purposes, both of which positively impacted academic performance. As a result, the study found that behavioral intention to utilize and task-technology-fit social media promote students’ active learning and enable them to discuss and exchange knowledge and information more efficiently. In conclusion, we encourage students to use social media for educational purposes in their studies and teaching through lectures in HE institutions.
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spelling uthm-76312022-09-08T02:11:57Z http://eprints.uthm.edu.my/7631/ Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education Al-Rahmi, Ali Mugahed Shamsuddin, Alina Wahab, Eta Al-Rahmi, Waleed Mugahed Alturki, Uthman Aldraiweesh, Ahmed Almutairy, Sultan T Technology (General) Investigation of task-technology fit and intention to use social media tools needs to focus specifically on higher education for teaching and learning, and its impact on students’ academic performance. This article aims to develop a model that would identify essential aspects that are predicted to continue to play a large role in TTF for learning in BI, which could be used to improve academic performance in higher education. The purpose of this study was to investigate the characteristics and aspects of SM and the relationship between their use in the TTF and UTAUT theory to determine how they affect research students’ satisfaction and AP in HE institutions. Data for the unified theory of acceptance and use of technology (UTAUT) and task-technology fit (TTF) theories were collected using a questionnaire survey. This research hypothesizes that behavioral intention to utilize social media and task-technology fit for learning will influence social characteristics, technology characteristics, performance expectancy, and effort expectancy, all of which will improve academic performance. As a test bed for this research, a structural equation model (SEM) was constructed examining the relationships between factors that affect students’ academic performance. A stratified random sample strategy was used to disseminate the main tool of data collection, a questionnaire, to 383 students. A quantitative method was used to examine the results. The obtained outcomes showed that there was a correlation among social characteristics, technological characteristics, behavioral intention to use social media, and task-technology fit for academic performance, which aided student performance and results. The study indicates that PEX and EEX also demonstrated a strong relation to task-technology fit and behavioral intent to use social media for academic purposes, both of which positively impacted academic performance. As a result, the study found that behavioral intention to utilize and task-technology-fit social media promote students’ active learning and enable them to discuss and exchange knowledge and information more efficiently. In conclusion, we encourage students to use social media for educational purposes in their studies and teaching through lectures in HE institutions. 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/7631/1/J14508_0c1f15f72df3e695cfcb1e71506f0408.pdf Al-Rahmi, Ali Mugahed and Shamsuddin, Alina and Wahab, Eta and Al-Rahmi, Waleed Mugahed and Alturki, Uthman and Aldraiweesh, Ahmed and Almutairy, Sultan (2022) Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education. Social Media Use for Teaching and Learning in Higher Education, 10. pp. 1-13. https://doi.org/ 10.3389/fpubh.2022.905968
spellingShingle T Technology (General)
Al-Rahmi, Ali Mugahed
Shamsuddin, Alina
Wahab, Eta
Al-Rahmi, Waleed Mugahed
Alturki, Uthman
Aldraiweesh, Ahmed
Almutairy, Sultan
Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title_full Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title_fullStr Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title_full_unstemmed Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title_short Integrated the role of UTAUT and TTF model to evaluate social media use for teaching and learning in higher education
title_sort integrated the role of utaut and ttf model to evaluate social media use for teaching and learning in higher education
topic T Technology (General)
url http://eprints.uthm.edu.my/7631/
http://eprints.uthm.edu.my/7631/
http://eprints.uthm.edu.my/7631/1/J14508_0c1f15f72df3e695cfcb1e71506f0408.pdf