Acceptance of Technology in Online Learning Perspective at Educational Institutions : A Systematic Literature Review
Abstract
Today, many applications or technologies have been produced by every software developer. However, the success of all there is the decision of each user. Users have two possibilities to accept or reject a technology that is presented. The TAM model has been widely researched and undergone development and changes besides being quite reliable in predicting the level of technology acceptance in all countries in the world. In this study, we will recapitulate all studies on the acceptance of technology in the field of Education that handles online learning. The results showed that there was 51 article review publication were selected through some process of review. The period taken ranges from 2011 to 2020. The main findings show that there are differences in the models, methods, and applications identified. Since the TAM model has two basic variables, namely perceived ease of use and perceived usefulness as a framework for analyzing the make and influence technology acceptance. In this study also provides information about the results of the identification of some of the gaps in current research and also in the future. Therefore, the results of a systematic literature review were able to provide a better understanding of TAM especially in the perspective of education in online learning.
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Stal J., Paliwoda-Pękosz G. (2019) Mobile Technology Acceptance Model: An Empirical Study on Users’ Acceptance and Usage of Mobile Technology for Knowledge Providing. In: Themistocleous M., Rupino da Cunha P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_42
Tarmuji N.H., Ahmad S., Abdullah N.H.M., Nassir A.A., Idris A.S. (2019) Perceived Resources and Technology Acceptance Model (PRATAM): Students’ Acceptance of e-Learning in Mathematics. In: Mohamad Noor M., Ahmad B., Ismail M., Hashim H., Abdullah Baharum M. (eds) Proceedings of the Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016). Springer, Singapore. https://doi.org/10.1007/978-981-13-0203-9_13
Eltayeb M., Dawson M. (2016) Understanding User’s Acceptance of Personal Cloud Computing: Using the Technology Acceptance Model. In: Latifi S. (eds) Information Technology: New Generations. Advances in Intelligent Systems and Computing, vol 448. Springer, Cham. https://doi.org/10.1007/978-3-319-32467-8_1
Swilley E., Goldsmith R.E. (2015) Assessing the Impact of Corporate Credibility and Technology Acceptance on Online Shopping. In: Spotts H. (eds) Marketing, Technology and Customer Commitment in the New Economy. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-11779-9_6
Seuwou P., Banissi E., Ubakanma G. (2016) User Acceptance of Information Technology: A Critical Review of Technology Acceptance Models and the Decision to Invest in Information Security. In: Jahankhani H. et al. (eds) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017. Communications in Computer and Information Science, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-319-51064-4_19
Nistor N., Weinberger A., Ceobanu C., Heymann J.O. (2011) Educational Technology and Culture: The Influence of Ethnic and Professional Culture on Learners’ Technology Acceptance. In: Kloos C.D., Gillet D., Crespo GarcÃa R.M., Wild F., Wolpers M. (eds) Towards Ubiquitous Learning. EC-TEL 2011. Lecture Notes in Computer Science, vol 6964. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23985-4_42
Ayeh J.K., Au N., Law R. (2013) Towards an Understanding of Online Travellers’ Acceptance of Consumer-Generated Media for Travel Planning: Integrating Technology Acceptance and Source Credibility Factors. In: Cantoni L., Xiang Z. (eds) Information and Communication Technologies in Tourism 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36309-2_22
Park, E., Kim, K.J. Driver acceptance of car navigation systems: integration of locational accuracy, processing speed, and service and display quality with technology acceptance model. Pers Ubiquit Comput 18, 503–513 (2014). https://doi.org/10.1007/s00779-013-0670-2
Dirks S., Bühler C. (2018) Assistive Technologies for People with Cognitive Impairments – Which Factors Influence Technology Acceptance?. In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Methods, Technologies, and Users. UAHCI 2018. Lecture Notes in Computer Science, vol 10907. Springer, Cham. https://doi.org/10.1007/978-3-319-92049-8_36
El-Masri, M., Tarhini, A. Erratum to: Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Education Tech Research Dev 65, 765–767 (2017). https://doi.org/10.1007/s11423-017-9526-1
Ghazizadeh, M., Lee, J.D. & Boyle, L.N. Extending the Technology Acceptance Model to assess automation. Cogn Tech Work 14, 39–49 (2012). https://doi.org/10.1007/s10111-011-0194-3
Q. Al-Maatouk, M. S. Othman, A. Aldraiweesh, U. Alturki, W. M. Al-Rahmi and A. A. Aljeraiwi, "Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia," in IEEE Access, vol. 8, pp. 78427-78440, 2020.doi: 10.1109
M. Kuciapski, "How the Type of Job Position Influences Technology Acceptance: A Study of Employees’ Intention to Use Mobile Technologies for Knowledge Transfer," in IEEE Access, vol. 7, pp. 177397-177413, 2019.doi: 10.1109/
E. Park, Y. Cho, J. Han and S. J. Kwon, "Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment," in IEEE Internet of Things Journal, vol. 4, no. 6, pp. 2342-2350, Dec. 2017. doi: 10.1109/JIOT.2017.2750765
Y. H. Kwak, J. Park, B. Y. Chung and S. Ghosh, "Understanding End-Users’ Acceptance of Enterprise Resource Planning (ERP) System in Project-Based Sectors," in IEEE Transactions on Engineering Management, vol. 59, no. 2, pp. 266-277, May 2012.doi: 10.1109/TEM.2011.2111456
J. Y. L. Thong, V. Venkatesh, X. Xu, S. Hong and K. Y. Tam, "Consumer Acceptance of Personal Information and Communication Technology Services," in IEEE Transactions on Engineering Management, vol. 58, no. 4, pp. 613-625, Nov. 2011.doi: 10.1109/TEM.2010.2058851
Teo T. (2011) Technology Acceptance Research in Education. In: Teo T. (eds) Technology Acceptance in Education. SensePublishers. https://doi.org/10.1007/978-94-6091-487-4_1
Huang YM., Liu CH., Huang YM., Yeh YH. (2014) Adopt Technology Acceptance Model to Analyze Factors Influencing Students’ Intention on Using a Disaster Prevention Education System. In: Huang YM., Chao HC., Deng DJ., Park J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_23
Siyam, N. Factors impacting special education teachers’ acceptance and actual use of technology. Educ Inf Technol 24, 2035–2057 (2019). https://doi.org/10.1007/s10639-018-09859-y
Prietch S.S., Filgueiras L.V.L. (2015) Technology Acceptance Evaluation by Deaf Students Considering the Inclusive Education Context. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9296. Springer, Cham. https://doi.org/10.1007/978-3-319-22701-6_2
Dumpit, D.Z., Fernandez, C.J. Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. Int J Educ Technol High Educ 14, 5 (2017). https://doi.org/10.1186/s41239-017-0045-2
Efiloğlu Kurt, Ö., Tingöy, Ö. The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK. Int J Educ Technol High Educ 14, 26 (2017). https://doi.org/10.1186/s41239-017-0064-z
Chen, K.TC. Examining EFL instructors’ and students’ perceptions and acceptance toward M-learning in higher education. Univ Access Inf Soc 16, 967–976 (2017). https://doi.org/10.1007/s10209-016-0494-8
Wong K., Wang F.L., Ng K.K., Kwan R. (2015) Investigating Acceptance towards Mobile Learning in Higher Education Students. In: Li K.C., Wong TL., Cheung S.K.S., Lam J., Ng K.K. (eds) Technology in Education. Transforming Educational Practices with Technology. Communications in Computer and Information Science, vol 494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46158-7_2
Kuciapski M. (2016) Students Acceptance of m-Learning for Higher Education – UTAUT Model Validation. In: Wrycza S. (eds) Information Systems: Development, Research, Applications, Education. SIGSAND/PLAIS 2016. Lecture Notes in Business Information Processing, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-46642-2_11
Teo, T., Khlaisang, J., Thammetar, T. et al. A survey of pre-service teachers’ acceptance of technology in Thailand. Asia Pacific Educ. Rev. 15, 609–616 (2014). https://doi.org/10.1007/s12564-014-9348-3
Conti, D., Di Nuovo, S., Buono, S. et al. Robots in Education and Care of Children with Developmental Disabilities: A Study on Acceptance by Experienced and Future Professionals. Int J of Soc Robotics 9, 51–62 (2017). https://doi.org/10.1007/s12369-016-0359-6
GarcÃa Botero, G., Questier, F., Cincinnato, S. et al. Acceptance and usage of mobile assisted language learning by higher education students. J Comput High Educ 30, 426–451 (2018). https://doi.org/10.1007/s12528-018-9177-1
Luk CH., Ng KK., Lam WM. (2018) The Acceptance of Using Open-Source Learning Platform (Moodle) for Learning in Hong Kong’s Higher Education. In: Cheung S., Lam J., Li K., Au O., Ma W., Ho W. (eds) Technology in Education. Innovative Solutions and Practices. ICTE 2018. Communications in Computer and Information Science, vol 843. Springer, Singapore. https://doi.org/10.1007/978-981-13-0008-0_23
Sakurai Y. (2014) The Value Improvement in Education Service by Grasping the Value Acceptance State with ICT Utilized Education Environment. In: Yamamoto S. (eds) Human Interface and the Management of Information. Information and Knowledge in Applications and Services. HIMI 2014. Lecture Notes in Computer Science, vol 8522. Springer, Cham. https://doi.org/10.1007/978-3-319-07863-2_10
Khalika Banda C., Gombachika H. (2013) Mobile Phone Technology Acceptance and Usability in the Delivery of Health Services among Health Surveillance Assistants in Rural Areas of Malawi. In: Jonas K., Rai I.A., Tchuente M. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41178-6_26
Chu R., Li Y., Lai I.K.W., Zhu Z. (2014) Factors Influencing Trust and Acceptance of Electronic Sand Tables for Higher Business Education. In: Cheung S.K.S., Fong J., Zhang J., Kwan R., Kwok L.F. (eds) Hybrid Learning. Theory and Practice. ICHL 2014. Lecture Notes in Computer Science, vol 8595. Springer, Cham. https://doi.org/10.1007/978-3-319-08961-4_16
Lakhal, S., Khechine, H. Relating personality (Big Five) to the core constructs of the Unified Theory of Acceptance and Use of Technology. J. Comput. Educ. 4, 251–282 (2017). https://doi.org/10.1007/s40692-017-0086-5
Parkman, S., Litz, D. & Gromik, N. Examining pre-service teachers’ acceptance of technology-rich learning environments: A UAE case study. Educ Inf Technol 23, 1253–1275 (2018). https://doi.org/10.1007/s10639-017-9665-3
Nkenke, E., Vairaktaris, E., Bauersachs, A. et al. Acceptance of technology-enhanced learning for a theoretical radiological science course: a randomized controlled trial. BMC Med Educ 12, 18 (2012). https://doi.org/10.1186/1472-6920-12-18
Ahmed, E., Ward, R. A comparison of competing technology acceptance models to explore personal, academic and professional portfolio acceptance behaviour. J. Comput. Educ. 3, 169–191 (2016). https://doi.org/10.1007/s40692-016-0058-1
Niehaves, B., Plattfaut, R. Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. Eur J Inf Syst 23, 708–726 (2014). https://doi.org/10.1057/ejis.2013.19
Mohd Amir R.I., Mohd I.H., Saad S., Abu Seman S.A., Tuan Besar T.B.H. (2020) Perceived Ease of Use, Perceived Usefulness, and Behavioral Intention: The Acceptance of Crowdsourcing Platform by Using Technology Acceptance Model (TAM). In: Kaur N., Ahmad M. (eds) Charting a Sustainable Future of ASEAN in Business and Social Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-15-3859-9_34
Ibili, E., Resnyansky, D. & Billinghurst, M. Applying the technology acceptance model to understand maths teachers’ perceptions towards an augmented reality tutoring system. Educ Inf Technol 24, 2653–2675 (2019). https://doi.org/10.1007/s10639-019-09925-z
Tulinayo, F., Ssentume, P. & Najjuma, R. Digital technologies in resource constrained higher institutions of learning: a study on students’ acceptance and usability. Int J Educ Technol High Educ 15, 36 (2018). https://doi.org/10.1186/s41239-018-0117-y
Brennan B. (2016) Mandatory Continuing Professional Education – Its Origin and Acceptance. In: Continuing Professional Education in Australia. Springer, Singapore. https://doi.org/10.1007/978-981-10-1832-9_4
Shen, Cw., Ho, Jt., Ly, P.T.M. et al. Behavioural intentions of using virtual reality in learning: perspectives of acceptance of information technology and learning style. Virtual Reality 23, 313–324 (2019). https://doi.org/10.1007/s10055-018-0348-1
Ngampornchai, A., Adams, J. Students’ acceptance and readiness for E-learning in Northeastern Thailand. Int J Educ Technol High Educ 13, 34 (2016). https://doi.org/10.1186/s41239-016-0034-x
Ali, Z., Gongbing, B. & Mehreen, A. Understanding and predicting academic performance through cloud computing adoption: a perspective of technology acceptance model. J. Comput. Educ. 5, 297–327 (2018). https://doi.org/10.1007/s40692-018-0114-0
Raes, A., Depaepe, F. A longitudinal study to understand students’ acceptance of technological reform. When experiences exceed expectations. Educ Inf Technol 25, 533–552 (2020). https://doi.org/10.1007/s10639-019-09975-3
Todaka, K., Kishimoto, J., Ikeda, M. et al. Impact of Risk-Benefit Perception and Trust on Medical Technology Acceptance in Relation to Drug and Device Lag: A Tripartite Cross-Sectional Survey. Ther Innov Regul Sci 52, 629–640 (2018). https://doi.org/10.1177/2168479017739267
Guner, H., Acarturk, C. The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Univ Access Inf Soc 19, 311–330 (2020). https://doi.org/10.1007/s10209-018-0642-4
Alharbi S., Drew S. (2019) The Role of Self-efficacy in Technology Acceptance. In: Arai K., Bhatia R., Kapoor S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_85
Ifedayo, A.E., Ziden, A.A. & Ismail, A.B. Mediating effect of behavioural intention on podcast acceptance. Educ Inf Technol (2020). https://doi.org/10.1007/s10639-020-10385-z
Klimova B., Poulova P. (2018) Older People and Technology Acceptance. In: Zhou J., Salvendy G. (eds) Human Aspects of IT for the Aged Population. Acceptance, Communication and Participation. ITAP 2018. Lecture Notes in Computer Science, vol 10926. Springer, Cham. https://doi.org/10.1007/978-3-319-92034-4_7
Appavoo P. (2021) Acceptance of Technology in the Classroom: A Qualitative Analysis of Mathematics Teachers’ Perceptions. In: Satapathy S., Bhateja V., Janakiramaiah B., Chen YW. (eds) Intelligent System Design. Advances in Intelligent Systems and Computing, vol 1171. Springer, Singapore. https://doi.org/10.1007/978-981-15-5400-1_1
Nguyen T.D., Nguyen D.T., Cao T.H. (2014) Acceptance and Use of Information System: E-Learning Based on Cloud Computing in Vietnam. In: Linawati, Mahendra M.S., Neuhold E.J., Tjoa A.M., You I. (eds) Information and Communication Technology. ICT-EurAsia 2014. Lecture Notes in Computer Science, vol 8407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55032-4_14
Fan C. (2020) Applied the Technology Acceptance Model to Survey the Mobile-Learning Adoption Behavior in Science Museum. In: Rau PL. (eds) Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. HCII 2020. Lecture Notes in Computer Science, vol 12193. Springer, Cham. https://doi.org/10.1007/978-3-030-49913-6_23
Lai I.K.W., Lai D.C.F. (2013) Student Acceptance of Electronic Schoolbag Systems: An Empirical Study in China. In: Cheung S.K.S., Fong J., Fong W., Wang F.L., Kwok L.F. (eds) Hybrid Learning and Continuing Education. ICHL 2013. Lecture Notes in Computer Science, vol 8038. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39750-9_31
Pedrotti M., Nistor N. (2016) User Motivation and Technology Acceptance in Online Learning Environments. In: Verbert K., Sharples M., KlobuÄar T. (eds) Adaptive and Adaptable Learning. EC-TEL 2016. Lecture Notes in Computer Science, vol 9891. Springer, Cham. https://doi.org/10.1007/978-3-319-45153-4_45
Zefreh M.M., Torok A. (2020) User Acceptance of Driverless Public Transportation: A Questionnaire-Based Study in Budapest. In: Gopalakrishnan K., Prentkovskis O., Jackiva I., JuneviÄius R. (eds) TRANSBALTICA XI: Transportation Science and Technology. TRANSBALTICA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-38666-5_8
Alryalat M.A.A., Rana N.P., Sarma H.K.D., Alzubi J.A. (2016) An Empirical Study of Facebook Adoption Among Young Adults in a Northeastern State of India: Validation of Extended Technology Acceptance Model (TAM). In: Dwivedi Y. et al. (eds) Social Media: The Good, the Bad, and the Ugly. I3E 2016. Lecture Notes in Computer Science, vol 9844. Springer, Cham. https://doi.org/10.1007/978-3-319-45234-0_19
Li Y., Sun J., Yang Y. (2012) Study on E-satisfaction in the Consumer E-commerce Environment Based on TAM and TTF Extended Model. In: Jin D., Lin S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_21
Alshurideh M., Al Kurdi B., Salloum S.A. (2020) Examining the Main Mobile Learning System Drivers’ Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In: Hassanien A., Shaalan K., Tolba M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_37
Geldmacher W., Just V., Grab B., Kompalla A. (2019) Derivation of a Modified Technology Acceptance Model for the Application on Self-driving Cars in a Car-sharing-model Based on Qualitative Research. In: Tăchiciu L., Weber G., Bodemann M. (eds) Building Engagement for Sustainable Development. Sustainable Management, Wertschöpfung und Effizienz. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-26172-6_12
Alhashmi S.F.S., Salloum S.A., Abdallah S. (2020) Critical Success Factors for Implementing Artificial Intelligence (AI) Projects in Dubai Government United Arab Emirates (UAE) Health Sector: Applying the Extended Technology Acceptance Model (TAM). In: Hassanien A., Shaalan K., Tolba M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_36
Abu Seman A.H., Ahmad R., Alhassan Alhussian H.S. (2020) Factors Influencing Acceptance of Technology by Senior Citizens: A Systematic Review. In: Silhavy R. (eds) Intelligent Algorithms in Software Engineering. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-51965-0_31
Evans J., Brown M., Coughlan T., Lawson G., Craven M.P. (2015) A Systematic Review of Dementia Focused Assistive Technology. In: Kurosu M. (eds) Human-Computer Interaction: Interaction Technologies. HCI 2015. Lecture Notes in Computer Science, vol 9170. Springer, Cham. https://doi.org/10.1007/978-3-319-20916-6_38
Pourfakhimi S., Duncan T., Coetzee W. (2018) A Synthesis of Technology Acceptance Research in Tourism & Hospitality. In: Stangl B., Pesonen J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_12
Tamilmani K., Rana N.P., Dwivedi Y.K. (2017) A Systematic Review of Citations of UTAUT2 Article and Its Usage Trends. In: Kar A. et al. (eds) Digital Nations – Smart Cities, Innovation, and Sustainability. I3E 2017. Lecture Notes in Computer Science, vol 10595. Springer, Cham. https://doi.org/10.1007/978-3-319-68557-1_5
