Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review
E-learning; Education computing; Engineering education; Information systems; Learning systems; Online systems; Continuance intentions; Information systems theory; Integrated theory; Online learning; Online learning systems; Systematic Review; Teachers'; Technology acceptance model; User's...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-264022023-05-29T17:10:02Z Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review Mustafa A.S. Garcia M.B. 57218103026 57208206138 E-learning; Education computing; Engineering education; Information systems; Learning systems; Online systems; Continuance intentions; Information systems theory; Integrated theory; Online learning; Online learning systems; Systematic Review; Teachers'; Technology acceptance model; User's intentions; Users' acceptance; Information use Since its inception, Technology Acceptance Model (TAM) has been a commonly adopted theory for understanding users' acceptance of various types of information systems (e.g., online learning systems). Over the years, different information systems theories have been integrated into TAM to further the understanding of users' intention to accept online learning. To examine the literature, four databases were utilized to discover research articles examining the online learning acceptance and continuance intention of users (e.g., students and teachers). The findings of the systematic review revealed that Task Technology Fit and Theory of Planned Behavior are the most integrated and educationally successful theories into TAM. Meanwhile, course information, satisfaction, perceived usefulness, attitude, system quality, perceived ease of use, and academic performance are the essential drivers for the acceptance or continuance usage of online learning systems. These findings serve as an evidence and reference for educational institutions in developing policies and strategies for the implementation of an online education. � 2021 IEEE. Final 2023-05-29T09:10:01Z 2023-05-29T09:10:01Z 2021 Conference Paper 10.1109/OT4ME53559.2021.9638934 2-s2.0-85123835674 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123835674&doi=10.1109%2fOT4ME53559.2021.9638934&partnerID=40&md5=9a6a6f7e3b7c23c5ce3abfccbe4852e4 https://irepository.uniten.edu.my/handle/123456789/26402 68 72 Institute of Electrical and Electronics Engineers Inc. Scopus |
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E-learning; Education computing; Engineering education; Information systems; Learning systems; Online systems; Continuance intentions; Information systems theory; Integrated theory; Online learning; Online learning systems; Systematic Review; Teachers'; Technology acceptance model; User's intentions; Users' acceptance; Information use |
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57218103026 Mustafa A.S. Garcia M.B. |
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Conference Paper |
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Mustafa A.S. Garcia M.B. |
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Mustafa A.S. Garcia M.B. Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
author_sort |
Mustafa A.S. |
title |
Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
title_short |
Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
title_full |
Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
title_fullStr |
Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
title_full_unstemmed |
Theories Integrated with Technology Acceptance Model (TAM) in Online Learning Acceptance and Continuance Intention: A Systematic Review |
title_sort |
theories integrated with technology acceptance model (tam) in online learning acceptance and continuance intention: a systematic review |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806426140819062784 |
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13.214268 |