Assessing the Acceptance of Virtual Classes Among Arabic Language Student Teachers During and Beyond Covid-19

Authors

  • Abdullah bin Mohammed Al-Subaie College of Education, Prince Sattam bin Abdulaziz University, Saudi Arabia - Al-Kharj

DOI:

https://doi.org/10.18662/po/13.3/499

Keywords:

Virtual Classes, Arabic Language Student Teachers, Acceptance, Covid-19

Abstract

The aim was to investigate and assess the acceptance of virtual classes among Arabic language student teachers during and beyond covid-19. Quantitative research is carried out with the aim to assess the acceptance of virtual classes among Arabic language student teachers during and beyond covid-19. It uses a survey-based methodology to obtain data from the respondents. An online questionnaire was used to collect data via Facebook and WhatsApp groups. 450 questionnaire responses were received. They were 300 males (66.6%), and 150 females (33.4%). Results indicated that the student behavioral intention to use educational technology is positively affected by perceived usefulness, perceived ease of use. PU, PEOU yielded a coefficient of multiple regression (R) of 0. 450 and a multiple correlation square of 0. 435. This shows that 43.5% of the total variance in student behavioral intention to use educational technology is accounted for by the combination of PU, PEOU. Efforts to integrate educational technology into teacher education and Arabic language student teachers education programs are necessary. 

References

Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1), 143-155.

Alpaslan, M., Ozgur U., & Ridvan A. (2021).Adaptation of Technological Pedagogical Content Knowledge Scale into Turkish Culture Within the Scope of 21st Century Skills. Psycho-Educational Research Reviews, 10(1), 77-91. https://www.journals.lapub.co.uk/index.php/perr/article/view/1631.

Altun, T., Salih A., Ahmet G., & Caner, Ö. (2021). Investigating Education Faculty Students’ Views about Asynchronous Distance Education Practices During Covid-19 Isolation Period”. Psycho-Educational Research Reviews, 10(1), 34-45. https://www.journals.lapub.co.uk/index.php/perr/article/view/1710.

Alzubi, M. M., Al-Dubai, M. M., & Farea, M. M. (2018). Using the technology acceptance model in understanding citizens' behavioural intention to use m-marketing among Jordanian citizen. J. Bus. Retail Manage. Res. 12, 224–231. doi: 10.24052/JBRMR/V12IS02/UTTAMIUCBITUMMAJC

Amiruddin, A., Dewi, R. S., & Widodo, E. (2021). Structural modeling for usability attributes on technology acceptance model for smart parking mobile application. IOP Conf. Series Mater. Sci. Eng. 1072:012024. https://doi.org/10.1088/1757-899X/1072/1/012024

Apsorn, A., Sisan, B., & Tungkunanan, P. (2019). Information and Communication Technology Leadership of School Administrators in Thailand. International Journal of Instruction, 12(2), 639-650.

Arumugam, R. (2011). The usage of technology among education students in University Utara Malaysia: An application of extended Technology Acceptance Model. International Journal of Education and Development using ICT, 7(3), 4-17.

Basilaia, G., & Kvavadze, D. (2020). Transition to online education in schools during a SARS-CoV-2 coronavirus (COVID-19) pandemic in Georgia. Pedagogical Research, 5(4), 10. https://doi.org/10.29333/pr/7937

Bhattacharyya, S. S., Verma, S., & Sampath, G. (2020). Ethical expectations and ethnocentric thinking: exploring the adequacy of technology acceptance model for millennial consumers on multisided platforms. Int. J. Ethics Syst. 36, 465–489. https://doi.org/10.1108/IJOES-04-2020-0039

Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Comput. Educ., 111, 128–143. https://doi.org/10.1016/j.compedu.2017.04.010

Chavez, B., & Bayona, S. (2018). Virtual reality in the learning process. In Trends and advances in information systems and technologies (pp. 1345–1356). Springer International Publishing.

Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Comput. Educ., 63, 160–175. https://doi.org/10.1016/j.compedu.2012.12.003

Çoban, C., & Yazıcı, D. (2022). Examining Peer Relationships in Transition to Primary School in the Pandemic Process with Teacher and Parent Opinions. Psycho-Educational Research Reviews, 11(1), 31–45. https://doi.org/10.52963/PERR_Biruni_V11.N1.03

Demirdag, S. (2016).Examining the Computer Attitudes and Internet Attitudes of Substitute Teachers: Self-Confidence Towards ICT. Psycho-Educational Research Reviews, 5(2), 89 -100. https://www.journals.lapub.co.uk/index.php/perr/article/view/141.

Dewi, L., & Kharisma, A. S. (2020). Evaluasi tingkat penerimaan e-learning pada mahasiswa bidang keilmuan sosial dan teknik dengan technology acceptance model(TAM). Jurnal Pendidikan Akuntansi Indonesia, 18, 1–11. https://doi.org/10.21831/jpai.v18i1.27336

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crises. Journal of Educational Technology, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Gokdas, İ., & Aynur, K. G. (2014). Barriers in Information and Communication Technology (ICT) Use in Educational Environments Scale”. Psycho-Educational Research Reviews, 3(3), 34 -43. https://www.journals.lapub.co.uk/index.php/perr/article/view/108.

Göktaş, İ., & Geçer, A. (2014). Barriers in Information and Communication Technology (ICT) Use in Educational Environments Scale. Psycho-Educational Research Reviews, 3(3), 34–43. https://www.perrjournal.com/index.php/perrjournal/article/view/343

Grani´c, A., & Maranguni´c, N. (2019). Technology acceptance model in educational context: a systematic literature review. Br. J. Educ. Technol. 50, 2572–2593. https://doi.org/10.1111/bjet.12864

Gündoğan, A. (2021). Views and Attitudes of Primary School Teachers Towards Life Studies Teaching. Psycho-Educational Research Reviews, 10(3), 322–335. https://doi.org/10.52963/PERR_Biruni_V10.N3.20

Hong, X. (2020). Challenges and countermeasures of preschool teachers’ professional development under the background of “suspension of classes”. Stud. Early Child. Educ., 6, 27–30. https://doi.org/10.13861/j.cnki.sece.2020.06.005

Hussain, A., Hussain, M. S., Marri, M. Y. K., & Zafar, M. A. (2021). Acceptance of Electronic Banking among University Students in Pakistan: An Application of Technology Acceptance Model (TAM). Pakistan Journal of Humanities and Social Sciences, 9(2), 101–113. https://doi.org/10.52131/pjhss.2021.0902.0117

Kurtdede, N., & Yıldırım, N.(2022). Teacher Education in Turkey in the Covid-19 Pandemic: Experiences of the Pre-Service Teachers about the Online Teaching Practice. Psycho-Educational Research Reviews, 11(1), 77–92. https://doi.org/10.52963/PERR_Biruni_V11.N1.06

Liu, H., Wang, L., & Koehler, M. J. (2019). Exploring the intention-behavior gap in the technology acceptance model: a mixed-methods study in the context of foreign-language teaching in China. Br. J. Educ. Technol., 50, 2437–2556. https://doi.org/10.1111/bjet.12824

Mallik, A., & Lakshmi, M. (2017). A Review of Education Technology in Digital Age: Classroom Learning for Future and Beyond. Psycho-Educational Research Reviews, 6(3), 80 -92. https://www.journals.lapub.co.uk/index.php/perr/article/view/182.

Mason, R., & Bacsich, P. (1998). Embedding computer conferencing into university teaching. Computers & Education, 30(3), 249–258. http://dx.doi.org/10.1016/S0360-1315(97)00068-7

Önal, N. (2017). Use of Interactive Whiteboard in the Mathematics Classroom: Students’ Perceptions within the Framework of the Technology Acceptance Model. International Journal of Instruction, 10(4), 67-86.

Radianti, J., Majchrzak, T. A., Fromm, J. & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. 10.1016/j.compedu.2019.103778

Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): a meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Comput. Educ., 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009

Sintema, E. J. (2020 April 7). Effect of COVID-19 on the performance of grade 12 students: Implications for STEM education. EURASIA Journal of Mathematics, Science and Technology Education, 16(7). https://doi.org/10.29333/ejmste/7893

Suh, A., & Prophet, J. (2018). The state of immersive technology research: A literature analysis. Computers in Human Behavior, 86, 77–90.

Taner, A., Akyıldız, S., Gülay, A., & Özdemir, C. (2021). Investigating Education Faculty Students’ Views about Asynchronous Distance Education Practices during Covid-19 Isolation Period. Psycho-Educational Research Reviews, 10(1), 34–45. https://www.perrjournal.com/index.php/perrjournal/article/view/90

Ulaş, S. D., Kurt, H. İ., Bayındır, S., Cihan, Ö., Vural, Ö. F., & Başaran, M. (2021). Teachers’ Metaphoric Perceptions of Covid-19 and School in the Process of Covid-19. Psycho-Educational Research Reviews, 10(3), 393–410. https://doi.org/10.52963/PERR_Biruni_V10.N3.25

Uysal, S., & Kerim G. (2019). Predictors of Self-Regulated Learning Skills of Computer Education and Instructional Technology (Ceit) Students. Psycho-Educational Research Reviews, 8(3), 29-40. https://www.journals.lapub.co.uk/index.php/perr/article/view/1233.

Wang, P., Wu, P., Wang, J., Chi, H.-L., & Wang, X. (2018). A critical review of the use of virtual reality in construction engineering education and training. International Journal of Environmental Research and Public Health, 15(6), 1204.

Yakar, A. (2021). How Responsible Are Turkish Secondary School Students for Distance Learning During the Covid-19 Pandemic: A Scale Development and Implementation Study. Psycho-Educational Research Reviews, 10(3), 377–392. https://doi.org/10.52963/PERR_Biruni_V10.N3.24

Yazıcı, H., Altun, F., Tosun, C., Özdemir, M., & Karsantık, Y. (2021). Psychometric Evaluation of the Turkish Version of the Covid-19 Induced Anxiety Scale and Protective Behaviors Towards Covid-19 Scale. Psycho-Educational Research Reviews, 10(3), 478–489. https://doi.org/10.52963/PERR_Biruni_V10.N3.30

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Published

2022-08-08

How to Cite

bin Mohammed Al-Subaie, A. (2022). Assessing the Acceptance of Virtual Classes Among Arabic Language Student Teachers During and Beyond Covid-19. Postmodern Openings, 13(3), 439-452. https://doi.org/10.18662/po/13.3/499

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Section

Research on Covid-19 Pandemic

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