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Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
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“Earlier studies, according to Abdullah and Ward [84,85], found that PE had a substantial impact on the PEOU and PU for e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Moreover, Abdullah and Ward [85] reported a substantial and optimistic relationship between PE and PEOU for e-learning in eight out of eleven research studies.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Perceived enjoyment is essential in assessing the adoption of e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“The same is true between PE and PU, as is evident from eight out of eight studies (100%).”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
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Luo, M., & Yuan, Y. (2024) · International Conference on Education and Training Technologies (ICETT) · doi:10.1145/3661904.3661931 · Cited by 2
“Different studies [12, 13] have highlighted it is a robust model to predict users’ acceptance of different technologies in different research contexts.”
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Cho, N., & Huang, C. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101120 · Cited by 2
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“The research model, adapted from the Technology Acceptance Model (TAM), aims to identify factors contributing. to students’ reluctance to engage in online learning, thereby impacting their readiness to participate in such activities [8] [9] [10].”
Exploring academic's intentions to incorporate ChatGPT into their teaching practice
Enang, E., & Christopoulou, D. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/rn5y5614 · Cited by 2
“…of factors such as; 1) perceived ease of use 2) perceived usefulness 3) social influence 4) facilitating conditions, 5) Attitude towards usage, 6) perceived self-efficacy, 7) gender, 8) age, 9) experience (Abdullah & Ward, 2016; Alharbi & Drew, 2014; Nafsaniath et al.,2015; Venkatesh et al., 2003).”
Digital inequality in a developing context: A multifaceted approach
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Gao, B., Liu, R., & Chu, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93429-2_1 · Cited by 2
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“A few examples are mobile services (Ovčjak, Heričko, and Polančič 2015), e-commerce (Ingham, Cadieux, and Berrada 2015), healthcare (Holden and Karsh 2010), and e-learning technology (Abdullah and Ward 2016).”
Measurement Degree of Acceptance of Information Technology Implementation in Higher Education
Mahmud, M. (2020) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2020/42922020 · Cited by 2
Özkök, G. A., & Bulutlu, Ö. (2020) · Cukurova University Faculty of Education Journal · doi:10.14812/cuefd.755147 · Cited by 2
“Abdullah and Ward (2016) state that the variables of self-efficacy and subjective norm are often used as variables in the researches which investigate e-learning systems with TAM.”
InfluentialHalász, Á., & Kenesei, Z. (2022) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2022.07.02 · Cited by 2
Barriers to Using Mobile Payment Technology
Sahi, A. M., Khalid, H. B., & Abbas, A. F. (2022) · Springer eBooks · doi:10.1007/978-981-19-6509-8_14 · Cited by 2
An Examination of the Emotional Impact of Technology-Driven E-Learning
George, A., Ravindran, D., Sirothiya, M., Goli, M., & Rajan, N. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-7639-0.ch006 · Cited by 2
Investigating MSME's Intention to Use Digital Wallet Payment System
Prasetyo, F. M., Susilo, P., & Badawi (2023) · Scientia · doi:10.51773/sssh.v2i1.131 · Cited by 2
“Perceived ease of use and perceived usefulness are the two main variables in TAM that affect positive or negative attitudes towards technology use(Abdullah & Ward, 2016).”
BackgroundConsumers' Acceptance Intentions to Use Cashback Systems
Matemba, E. D., Li, G., Maiseli, B. J., & Tladi, P. M. (2018) · International Conference on Software and e-Business (ICSEB) · doi:10.1145/3301761.3301766 · Cited by 2
Role of IT Culture in Learners' Acceptance of E-Learning
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Teachers and Interactive White Boards: A Qualitative Investigation in the Margin of Technophobia.
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Analysis of User Acceptance for Rumah Belajar Mobile Application
Wahab, R. A. A. R., & Handayani, P. W. (2021) · East Indonesia Conference on Computer and Information Technology (EIConCIT) · doi:10.1109/eiconcit50028.2021.9431935 · Cited by 2
“There was a positive relationship between these two variables [27].”
BackgroundKristiawan, N. B. (2021) · Edcomtech Jurnal Kajian Teknologi Pendidikan · doi:10.17977/um039v6i12021p275 · Cited by 2
Pillay, A., Campbell, B., Sheik, A., Khosa, M., & Nyika, N. (2021) · The Teacher Educator · doi:10.1080/08878730.2021.1983098 · Cited by 2
“Abdullah and Ward (2016) found that various factors could affect users’ uptake of technology including, among others, enjoyment, computer anxiety, and experience.”
BackgroundResultInfluentialInvestigating Multi-Channel Learning Adoption on Higher Education Students
Prabowo, R., Pratama, F. C., Arimbawa, P. A. P., & Shanti, M. (2021) · doi:10.1109/icet53279.2021.9575118 · Cited by 2
Stănescu, D. F., & Romașcanu, M. C. (2022) · Psychological applications and trends · doi:10.36315/2022inpact087 · Cited by 2
Behavioral Intention to Use as a Factor in a Learning Management System in Kuwait
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Wang, Q., Zhang, N., & Ma, W. (2023) · SAGE Open · doi:10.1177/21582440231153852 · Cited by 2
“Besides, other variables, such as self-efficacy, computer anxiety, user training, system characteristics, and facilitating conditions, were significantly related to the TAM core variables (Abdullah & Ward, 2016).”
BackgroundSholihah, E., & Ariyani, D. (2023) · Business Management Analysis Journal (BMAJ) · doi:10.24176/bmaj.v6i2.11046 · Cited by 2
“It can be used as input to create a more effective strategy to develop benefits that users can feel (Abdullah & Ward, 2016).”
MethodAlshehri, E. (2023) · World Journal of English Language · doi:10.5430/wjel.v14n2p90 · Cited by 8
Agile and continuous digital learning integration: Perspectives in ethiopian high schools
Mesfin, G., Grønli, T., Ghinea, G., Midekso, D., Covaci, A., & Hwang, W. (2017) · International Conference on Ubi-Media Computing and Workshops (Ubi-Media) · doi:10.1109/umedia.2017.8074139 · Cited by 2
“According to Abdullah and Ward[12], self-efficacy, subjective norm, enjoyment, computer anxiety and experience of the teacher are the most common factors of technology acceptance models; which the perceived ease of use is most affected by self-efficacy while enjoyment is for the perceived usefulness.”
BackgroundKissi, P. S., & Apeanti, W. O. (2019) · International Journal of Information Communication Technologies and Human Development · doi:10.4018/ijicthd.2019010104 · Cited by 2
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Students’ Intention to Participate in E-learning
Khairul, Okyere-Kwakye, E., Ilona, D., & Zaitul, Z. (2020) · KnE Social Sciences · doi:10.18502/kss.v4i14.7885 · Cited by 2
“These changes also provide us with new ways of learning, such as e-learning [2].”
BackgroundResultInfluentialAdesina, A. (2020) · doi:10.7176/jep/11-36-12 · Cited by 3
“In a study carried out to develop a general extended technology acceptance model for e-learning, Abdullah & Ward (2016) found that users’ perceived usefulness remains an important factor in technology use.”
BackgroundAcceptability and challenges of online higher education in the covid-19 era in Zambia
Kayombo, K. M., & Mwiinga, B. (2021) · ACADEMICIA An International Multidisciplinary Research Journal · doi:10.5958/2249-7137.2021.00568.1 · Cited by 2
Gao, Y.-J., Wong, S.-L., Khambari, M. N., & Noordin, N. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i9/10856 · Cited by 1
“Moreover, many empirical research studies have confirmed that PEU significantly affects intention to use technology (Abdullah & Ward, 2016; Jeung, 2014).”
BackgroundJaworek, M. (2021) · Sustainability · doi:10.3390/su132414017 · Cited by 4
“Technology acceptance models (TAM) indicate that psychological factors such as self-efficacy, perceived enjoyment, computer anxiety, and intrinsic and extrinsic motivation [9,10] play a key role in adapting to work with new technologies.”
BackgroundWang, X., Farooq, M., Alam, F., & Zhang, Q. (2022) · Journal of Information Management · doi:10.5958/2348-1773.2022.00010.8 · Cited by 2
Constructs Influencing Students’ Behavioral Intention of Superstar Learning SystemPreprint
Yu, Z. (2021) · Preprints.org · doi:10.20944/preprints202107.0583.v1 · Cited by 1
“Later, many studies revised the basic TAM (e.g. Lee & Lehto, 2013; Teo, 2009) by arguing that more external variables should be added to TAM (Abdullah & Ward, 2016; Legris, Ingham, & Collerette, 2003).”
BackgroundInvestigating Cultural Values and Educational Technology Adoption in Central Asia
Gwin, R. W. (2021) · doi:10.18122/td/1883/boisestate · Cited by 2
Shen, Y., Huang, L., & Wu, A. X. (2022) · Preprints.org · doi:10.20944/preprints202207.0441.v1 · Cited by 1
Communications on Applied Nonlinear AnalysisPreprint
Astono, A. D., Nurhayati, N., Firdaus, F., & bin Abdullah, Z. (2025) · Social Science Research Network · doi:10.2139/ssrn.5184465
Ahmed, A. M., & Abdullah, N. A. (2021) · International Congress of Advanced Technology and Engineering (ICOTEN) · doi:10.1109/icoten52080.2021.9493529 · Cited by 1
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Abu-Dalbouh, H. M., & Alateyah, S. A. (2022) · Indian Journal of Computer Science and Engineering · doi:10.21817/indjcse/2022/v13i4/221304071 · Cited by 1
Investigating Determinants of the Acceptance of Zoom Technology Through the Lens of GETAMEL
الشهراني, ح. ع. م. (2022) · Journal of Educational and Psychological Studies [JEPS] · doi:10.53543/jeps.vol16iss4pp308-319 · Cited by 2
“The influence of this predicter on both PU and IU was confirmed in earlier studies (Abdullah & Ward, 2016; Chang et al., 2017; Kimathi & Zhang, 2019; Rizun & Strzelecki, 2020; Sánchez-Prieto et al., 2019).”
BackgroundMethodResultInfluentialAttuquayefio, S. N. B. (2023) · Open Education Studies · doi:10.1515/edu-2022-0182 · Cited by 1
“Although TAM3 could not account for crossover e ff ects, Abdullah and Ward ( 2016 ) developed the General Extended Technology Acceptance Model for E - Learning to be used in the context of e - learning adoption.”
BackgroundMethodVisualizing Contemporary Factors Affecting the Adoption of E-learning: A PRISMA Approach
Pham, H. T. (2023) · TEM Journal · doi:10.18421/tem122-52 · Cited by 1
“Abdullah, F., & Ward, R. (2016).”
MethodBhiwaniwala, S., Shetty, D. K., Sighania, N., Naik, N., Vaz, S., & Dubey, S. (2023) · AIP conference proceedings · doi:10.1063/5.0154195 · Cited by 1
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“In a meta-analysis study [31], the researchers reviewed 107 studies that employed TAM in e-learning.”
BackgroundMethodInfluentialPurwandari, D. (2024) · Jurnal Sisfokom (Sistem Informasi dan Komputer) · doi:10.32736/sisfokom.v13i1.2014 · Cited by 1
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“Empirical studies have further validated the predictive power of social influence on performance expectancy [63–65].”
Khan, M. B., Hameed, I., Butt, A., & Akbar, R. (2025) · Creative Industries Journal · doi:10.1080/17510694.2025.2479460 · Cited by 1
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Adu, A. S. Y., van Biljon, J. A., & van der Merwe, R. (2025) · Advances in Human-Computer Interaction · doi:10.1155/ahci/9694629 · Cited by 2
“According to Abdullah and Ward [63], there is a signifcant positive relationship between social infuence and PU.”
Exploring Drivers of AIGC-Designer Collaborative Innovation
Wang, S.-F., & Chen, C.-C. (2025) · SAGE Open · doi:10.1177/21582440251344044 · Cited by 4
“Moreover, TAM has been extended to electronic learning through the Generalized Technology Acceptance Model for E-Learning (GETAMEL), enabling the analysis of external factors influencing perceived usefulness and perceived ease of use (Abdullah & Ward, 2016).”
Tian, A., & Ye, J. (2025) · Education and human development · doi:10.5772/intechopen.1011910 · Cited by 4
Tenkorang, E. Y. A. –., Akpakli, D. D. K., & Boateng, F. O. (2025) · Journal of Education and Learning Technology · doi:10.38159/jelt.2025689 · Cited by 2
“27 The model allows researchers to analyse factors that may facilitate or obstruct the uptake of AI at GCTU, such as institutional support, technical infrastructure or social perception of technology.”
Lessons Learned From COVID-19: Acceptance of E-Learning Technologies in Higher Education
Pitts, G., Marcus, V., & Motamedi, S. (2025) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208251372863 · Cited by 1
“In educational research, TAM has been widely used to study students ’ adoption of various learning technologies (Bailey et al., 2024; Chintalapati & Daruri, 2017; Liu et al., 2025) and e-learning platforms (e.g., Abdullah & Ward, 2016; Grani´c & Maranguni´c, 2019; Salloum et al., 2019).”
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Montaño, J. L. A., Fernández-Polvillo, C., Romero‐Frías, E., & del Barrio‐García, S. (2025) · Revista Electrónica Interuniversitaria de Formación del Profesorado · doi:10.6018/reifop.637491 · Cited by 1
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Chellappa, V. (2026) · Safety Science · doi:10.1016/j.ssci.2026.107194 · Cited by 2
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“Regarding the utilitarian dimension, the dominance of PU (β = 0.404) aligns with classical TAM research (Abdullah & Ward, 2016), reaffirming that academic efficacy remains the students’ primary mandate.”
InfluentialAn Enhanced AI Chatbot to Facilitate Learning Performance in a Virtual 3D Chemistry Laboratory
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O’Connor, K. W., & Parker, J. M. (2026) · Journal for Advancement of Marketing Education · doi:10.63963/001c.162689 · Cited by 1
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“Students who feel competent in technology use experience enhanced intrinsic motivation and en-joyment, which subsequently fosters more positive attitudes toward technology use and higher perceptions of usefulness (Abdullah & Ward, 2016; Granić, 2022; Pan, 2020).”
InfluentialIs Technology Mediated Learning Really Improving Performance Of Students?
Caporarello, L., Magni, M., & Pennarola, F. (2016) · ICST Transactions on e-Education and e-Learning · doi:10.4108/eai.2-12-2016.151719 · Cited by 1
“…marks a clear discontinuity with previous national efforts, because it aims at introducing the use of ICT directly in the everyday classroom, rather than in separated computer labs, and it transcends the disciplinary boundaries: it seeks ICT adoption in all subject fields (Abdullah & Ward, 2016).”
BackgroundConsiderations for institutional instructional technology decision-making
Rhode, J., & Krishnamurthi, M. (2018) · International Conference on Information and Education Technology (ICIET) · doi:10.1145/3178158.3178179 · Cited by 1
“Numerous studies in the fields of education, healthcare, and business have verified the model [62], [63], [64] as well as prompted revisions and additional constructs [65], [66].”
BackgroundΝτάρλας, Γ., & Karayanni, D. A. (2020) · Springer proceedings in business and economics · doi:10.1007/978-3-030-36126-6_90 · Cited by 1
واجارگاه, ز. ق., & فضلی, ص. (2021) · Journal of Management and Planning in Educational Systems · doi:10.52547/mpes.13.2.299 · Cited by 1
Investigating Roles of Self-Efficacy on Mobile Games Adoption in Indonesia
Arimbawa, P. A. P., Shanti, M., & Pratama, F. C. (2020) · Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management · doi:10.20473/jmtt.v13i3.22809 · Cited by 1
“(Abdullah and Ward, 2016) suggested that a large number of factors have been used in TAM and called for a General Extended Technology Acceptance Model (GETAMEL).”
BackgroundMethodInfluentialImpact of Self-Service Factors on Customer Value: How Customer Behavioral Intentions are Formed?
Su, H.-T. (2021) · International Journal of Management Economics and Social Sciences · doi:10.32327/ijmess/10.1.2021.3 · Cited by 1
“The technology acceptance model (TAM) suggests that self-service usage is driven by perceived usefulness and perceived ease of use (Bailey et al., 2017; Abdullah and Ward, 2016; Davis, 1989).”
BackgroundProposed Model for Investigating the level of the Users’ Acceptance of E-Government Services
Alnaemi, R. S., Saat, M. M., & Hashim, A. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i8/10731 · Cited by 1
Enhancing Effectiveness of E-Learning: Lessons from Technology Adoption Model
Kumar, S. (2022) · Journal of Advances in Education and Philosophy · doi:10.36348/jaep.2022.v06i04.004 · Cited by 1
Exploring the Adoption of Sports Brand Apps
Byun, H., Chiu, W., & Bae, J.-S. (2021) · IGI Global eBooks · doi:10.4018/978-1-7998-7707-3.ch004 · Cited by 1
Ndekwa, A. G. (2021) · International Journal of Education Teaching and Social Sciences · doi:10.47747/ijets.v1i1.491 · Cited by 1
“2.2.1 The Influence of Usefulness on Acceptance of Online Learning Abdullah and Ward (2016) carried out a study on identifying the most commonly used external factors of Technology Acceptance Model (TAM) in the context of e-learning acceptance.”
BackgroundInfluentialTheoretical models to evaluate acceptability of technology
Decormeille, G., & Rouleau, G. (2022) · Science Talks · doi:10.1016/j.sctalk.2022.100112 · Cited by 1
An e-learning “process-situation-result” network under off-line teaching and on-line teaching
Du, M., Wang, S., Wang, Z., Wang, L., Yu, R., & Yin, M. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2022.2157838 · Cited by 1
“Besides, in order to better understand the determinants of acceptance and usage of e-learning systems, many studies have added external variables (such as self-e ffi cacy, subjective norm, enjoyment, computer anxiety, and prior experience) to extend TAM model (Abdullah & Ward, 2016).”
Jonathan, K., Gui, A., Shaharudin, M. S., Suryawan, A. D., Triantono, H. B., & Sari, Y. K. (2022) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech55957.2022.9915187 · Cited by 1
“[14], [15], [19].”
Al-Tawara, F., Salamin, S., & Qusef, A. D. (2022) · International Arab Conference on Information Technology (ACIT) · doi:10.1109/acit57182.2022.9994222 · Cited by 1
“UTAUT has a higher illustrative power and is considered more efficient when compared to other models [20].”
MethodResultWijaya, L., Lasian, L., & Enriquez, N. (2022) · IEEE Information Technology International Seminar (ITIS) · doi:10.1109/itis57155.2022.10010052 · Cited by 1
“The previous research found that prior experience influences to PE and PEOU [19], [22], [23].”
ResultDesign for the elderly: the acceptance of smart vests in the senior population
Xie, Z. (2022) · International Conference on Advances in Artificial Intelligence (ICAAI) · doi:10.1145/3571560.3571580 · Cited by 1
“Researchers mainly use the technology acceptance model (TAM) to analyze relevant factors in technology reception literature, and TAM is also the most used theory in the research field [9].”
BackgroundMethodFactores clave en los procesos de adopción de tecnología
Muñoz, J. A. H., & Tamayo, L. J. H. (2022) · 360 Revista de Ciencias de la Gestión · doi:10.18800/360gestion.202207.009 · Cited by 1
Masimba, F., & Maguraushe, K. (2022) · Zimbabwe Conference of Information and Communication Technologies (ZCICT) · doi:10.1109/zcict55726.2022.10046037 · Cited by 2
Ahmed, A. M., Abdullah, N. A., Husin, M. H., & Bello, H. K. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i07.30093 · Cited by 1
Ranjbaran, F., Al-Abri, A., & Al-Hashmi, S. (2023) · Springer eBooks · doi:10.1007/978-981-99-0514-0_23 · Cited by 1
Lui, R. W. C., Dik, N. Y., & Lee, P. T. Y. (2022) · IEEE International Conference on Teaching, Assessment, and Learning for Engineering · doi:10.1109/tale54877.2022.00017 · Cited by 1
“Abdullah and Ward [26] also demonstrated that self-efficacy generates a stronger influence on perceived ease of use than on perceived usefulness, whereas enjoyment has a stronger effect on the perceived usefulness of online learning systems.”
BackgroundExploration of Sharia Bank Services in Muhammadiyah’s Higher Education Students
Azizah, U. S. A., & Jastacia, B. (2023) · Contributions to management science · doi:10.1007/978-3-031-27860-0_41 · Cited by 1
Metadata
- Authors
- Abdullah, F., & Ward, R.
- Affiliations
- University of Huddersfield (GB)
- Corresponding author
- Abdullah, Fazil
- ORCID
- Ward, Rupert
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 56
- Pages
- 238-256
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2214098284
- Cited by
- 986
- References
- 146
- Citations by year
- 2026: 67 · 2025: 88 · 2024: 113 · 2023: 155 · 2022: 157 · 2021: 163 · 2020: 96 · 2019: 76 · 2018: 39 · 2017: 22 · 2016: 10
- FWCI
- 46.53
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.hud.ac.uk
- Locations
- Computers in Human Behavior (publishedVersion)
- University of Huddersfield Repository (University of Huddersfield) (submittedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- technology acceptance model, e-learning adoption, extended technology acceptance model, self-efficacy, subjective norms, enjoyment, computer anxiety, user experience, perceived ease of use, perceived usefulness, external factors, student acceptance of technology
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