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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"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]	The GETAMEL Model: Features of the Adaptation of Teachers in the Transition to On-Line Learning International Journal of Human–Computer Interaction, 2025 DOI:10.1080/10447318.2023.2295694

[2]	Factors affecting university students’ intention to use mobile apps for intercultural competence development: A mixed-method approach Education and Information Technologies, 2024 DOI:10.1007/s10639-023-12106-8

[3]	Factors affecting university students’ intention to use mobile apps for intercultural competence development: A mixed-method approach Education and Information Technologies, 2024 DOI:10.1007/s10639-023-12106-8

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[5]	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

[6]	Factors Influencing E-learning Technology Among Youth in India: An Extended TAM Model Management and Labour Studies, 2024 DOI:10.1177/0258042X231208588

[7]	Investigation of learners’ behavioral intentions to use metaverse learning environment in higher education: a virtual computer laboratory Interactive Learning Environments, 2024 DOI:10.1080/10494820.2023.2240860

[8]	Evaluating science teachers’ flipped learning readiness: a GETAMEL approach test Interactive Learning Environments, 2024 DOI:10.1080/10494820.2023.2255232

[9]	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

[10]	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

[11]	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

[12]	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

[13]	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

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

[15]	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

[16]	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

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

[18]	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

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[20]	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

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[24]	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

[25]	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

[26]	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

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

[28]	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

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

[30]	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

[31]	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

[32]	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

[33]	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

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

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

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

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

[38]	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

[39]	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

[40]	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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