Exploring the General Extended Technology Acceptance Model for e-Learning Approach on Student’s Usage Intention on e-Learning System in University of Dar es Salaam

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Creative Education

ISSN Print: 2151-4755
ISSN Online: 2151-4771
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"Exploring the General Extended Technology Acceptance Model for e-Learning Approach on Student’s Usage Intention on e-Learning System in University of Dar es Salaam"
written by Flora A. Kimathi, Yi Zhang,
published by Creative Education, Vol.10 No.1, 2019

has been cited by the following article(s):

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[1]	Analisis Penerimaan Teknologi Zoom dalam Pembelajaran Online Mahasiswa Selama Covid-19: Pendekatan Technology Acceptance Model (TAM)
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[4]	Evaluation and ranking of factors affecting the quality of students' online learning during the Corona disease days
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[5]	Predicting students' intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology
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[6]	The emergence of e-learning and online-based training during the COVID-19 crisis: an exploratory investigation from Bangladesh
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[7]	The Experience of the Kingdom of Saudi Arabia in the Field of E-learning During the Coronavirus Pandemic
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[8]	COVID-19 and First Year Saint Mary's University Students' Perception and Satisfaction of Online Learning: A Phenomenological FGD Study
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[9]	Modeling the Indian households' intention to adopt the solar net metering system
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[10]	The Causal Linkage Between Perceived E-Learning Usefulness and Student Learning Performance: An Empirical Study from Vietnam
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[11]	Lack E-Learning Effectiveness: An Analysis Evaluating E-Learning in Engineering Education
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[12]	The Effect of PBL Hybrid Learning on the Higher Order Thinking Skills of Seventh Grade Students in Global Warming and Their Environmental Care Attitudes
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[13]	E-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia
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[14]	Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea
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[15]	Comparing technology acceptance of AR-based and 3D map-based mobile library applications: a multigroup SEM analysis
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[16]	E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education
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[17]	Pedagogy in Post-COVID-19: Effectiveness of Blended Learning in Higher Education
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[18]	IDENTIFYING FACTORS AFFECTING INTENTION TO USE IN DISTANCE LEARNING SYSTEMS
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[19]	2 The impact of innovation
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[20]	Antecedents of Blackboard Adoption by Lecturers at a South African Higher Education Institution–Extending GETAMEL
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[21]	Factors affecting the quality of e-learning during the COVID-19 pandemic from the perspective of higher education students
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[22]	Using structural equation modeling to assess online learning systems' educational sustainability for university students
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[23]	The impact of innovation 4.0 on higher education
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[24]	An evaluation of immersive virtual tours for curriculum innovation and engagement in higher education
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[25]	Learning Management System Usage among Undergraduates in a Developing Context: An Extension to the Technology Acceptance Model
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[26]	Factors affecting the quality of E-learning during the COVID 19 Pandemic from the perspective of higher education students
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[27]	Attitudes of Faculty Members at the American University of Beirut (AUB) toward Teaching Face-to-Face vs. Online vs. Blended Courses
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[28]	FACTORS AFFECTING THE QUALITY OF ELearning DURING THE COVID-19 PANDEMIC FROM THE PERSPECTIVE OF HIGHER EDUCATION STUDENTS
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[29]	User Acceptance of Agricultural Market Information System With Analytics: Insights From the Philippines
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[30]	Motivation Modelling and Computation for Personalised Learning of People with Dyslexia
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[31]	Predicting Students' Intention and Actual Use of E-Learning Using the Technology Acceptance Model: A Case from Zimbabwe
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[32]	The effect of blended learning on the achievement of ninth grade students in science and their attitudes towards its use
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[33]	Modeling Dyslexic Students' Motivation for Enhanced Learning in E-learning Systems
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[34]	Examining Users' Intentions to Use Cryptocurrency in Turkey
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[35]	Acceptance of an E-learning Module on Climate-smart Horticulture: A Structural Equation Model

[1]	The GETAMEL Model: Features of the Adaptation of Teachers in the Transition to On-Line Learning International Journal of Human–Computer Interaction, 2024 DOI:10.1080/10447318.2023.2295694

[2]	The emergence of e-learning and online-based training during the COVID-19 crisis: an exploratory investigation from Bangladesh Management Matters, 2023 DOI:10.1108/MANM-01-2022-0007

[3]	The emergence of e-learning and online-based training during the COVID-19 crisis: an exploratory investigation from Bangladesh Management Matters, 2023 DOI:10.1108/MANM-01-2022-0007

[4]	Factors affecting university students’ intention to use mobile apps for intercultural competence development: A mixed-method approach Education and Information Technologies, 2023 DOI:10.1007/s10639-023-12106-8

[5]	Investigation of learners’ behavioral intentions to use metaverse learning environment in higher education: a virtual computer laboratory Interactive Learning Environments, 2023 DOI:10.1080/10494820.2023.2240860

[6]	Comparing technology acceptance of AR-based and 3D map-based mobile library applications: a multigroup SEM analysis Interactive Learning Environments, 2023 DOI:10.1080/10494820.2021.1955271

[7]	Evaluating science teachers’ flipped learning readiness: a GETAMEL approach test Interactive Learning Environments, 2023 DOI:10.1080/10494820.2023.2255232

[8]	Influence of confidence factors on e-learning acceptance for future use by university students: evidence from an emerging economy SN Social Sciences, 2023 DOI:10.1007/s43545-023-00752-1

[9]	Blended Learning's Effects on Teenagers' Secondary-Level Academic Performance in the matter of Chemistry VFAST Transactions on Education and Social Sciences, 2023 DOI:10.21015/vtess.v11i1.1458

[10]	Factors Influencing E-learning Technology Among Youth in India: An Extended TAM Model Management and Labour Studies, 2023 DOI:10.1177/0258042X231208588

[11]	Effect of educational program on the psychological challenges of electronic learning among university nursing students: a quasi-experimental study The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 2023 DOI:10.1186/s41983-023-00716-5

[12]	Challenges confronting e-learning in higher education institutions in Nigeria amid Covid -19 Journal of Applied Research in Higher Education, 2023 DOI:10.1108/JARHE-09-2021-0346

[13]	Predicting students' intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology Journal of Applied Research in Higher Education, 2023 DOI:10.1108/JARHE-02-2022-0061

[14]	Modeling the Indian households' intention to adopt the solar net metering system Built Environment Project and Asset Management, 2022 DOI:10.1108/BEPAM-10-2021-0129

[15]	Challenges confronting e-learning in higher education institutions in Nigeria amid Covid -19 Journal of Applied Research in Higher Education, 2022 DOI:10.1108/JARHE-09-2021-0346

[16]	Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 Studies in Computational Intelligence, 2022 DOI:10.1007/978-3-030-93921-2_20

[17]	Predicting students' intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology Journal of Applied Research in Higher Education, 2022 DOI:10.1108/JARHE-02-2022-0061

[18]	The emergence of e-learning and online-based training during the COVID-19 crisis: an exploratory investigation from Bangladesh Management Matters, 2022 DOI:10.1108/MANM-01-2022-0007

[19]	Modeling the Indian households' intention to adopt the solar net metering system Built Environment Project and Asset Management, 2022 DOI:10.1108/BEPAM-10-2021-0129

[20]	E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education Sustainability, 2021 DOI:10.3390/su13116450

[21]	Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea The International Journal of Management Education, 2021 DOI:10.1016/j.ijme.2021.100503

[22]	Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students Sustainability, 2021 DOI:10.3390/su132413565

[23]	E-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia 2021 4th International Conference of Computer and Informatics Engineering (IC2IE), 2021 DOI:10.1109/IC2IE53219.2021.9649183

[24]	Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea The International Journal of Management Education, 2021 DOI:10.1016/j.ijme.2021.100503

[25]	Comparing technology acceptance of AR-based and 3D map-based mobile library applications: a multigroup SEM analysis Interactive Learning Environments, 2021 DOI:10.1080/10494820.2021.1955271

[26]	E-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia 2021 4th International Conference of Computer and Informatics Engineering (IC2IE), 2021 DOI:10.1109/IC2IE53219.2021.9649183

[27]	Modeling Dyslexic Students’ Motivation for Enhanced Learning in E-learning Systems ACM Transactions on Interactive Intelligent Systems, 2020 DOI:10.1145/3341197

[28]	Modeling Dyslexic Students’ Motivation for Enhanced Learning in E-learning Systems ACM Transactions on Interactive Intelligent Systems, 2020 DOI:10.1145/3341197

[29]	The effect of blended learning on the achievement of ninth grade students in science and their attitudes towards its use Heliyon, 2019 DOI:10.1016/j.heliyon.2019.e02424

[30]	The effect of blended learning on the achievement of ninth grade students in science and their attitudes towards its use Heliyon, 2019 DOI:10.1016/j.heliyon.2019.e02424

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