Thai Secondary EFL Teachers’ Use of Digital Literacy Tools in Post-COVID-19 Teaching

Nishapat Thanaittipath, Atipat Boonmoh

Abstract


This study investigates the reasons behind pre-service and in-service teachers’ decisions to use digital literacy tools in their teaching following the COVID-19 pandemic. The objective is to understand the factors influencing their choices and to identify areas where support and training are needed. Semi-structured interviews were conducted with eight teachers from a university demonstration school in Thailand, evenly divided between pre-service and in-service teachers. The Technology Acceptance Model (TAM) framework guided the creation and adaptation of the interview questions. The findings indicate that pre-service teachers prefer digital tools that are easy to use, accessible, and affordable, with features such as templates, multimedia, and engaging functionalities. In contrast, in-service teachers prioritize familiar tools that save time and enhance the quality of teaching materials. Both groups value tools that facilitate collaboration and ensure privacy. The study highlights the significant generational differences in technology adoption, with younger teachers showing a greater inclination towards exploring a variety of digital tools, while more experienced teachers tending to stick with familiar technologies due to time constraints and comfort levels. These insights underscore the necessity for ongoing, tailored professional development programs that address the specific needs of both pre-service and in-service teachers. Such programs should focus on enhancing digital literacy, providing practical examples of new tools’ benefits, and fostering a supportive community for technology integration. By understanding these differences, educational institutions can better support teachers in integrating digital literacy tools effectively, thereby improving teaching practices and professional development opportunities. The implications of this study suggest that a one-size-fits-all approach to technology training may not be effective, and differentiated support is essential to cater to the diverse needs of educators.

Keywords


ICT Teachers, Teacher Education Program, Ict Integration, Revised Teacher Education Curriculum

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References


Akkaya, R. (2016). Research on the development of middle school mathematics pre-service teachers’ perceptions regarding the use of technology in teaching mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 12(4). https://doi.org/10.12973/eurasia.2016.1257a

Ball, D. M. (2008). An empirical investigation of the contribution of computer self-efficacy, computer anxiety, and instructors’ experience with the use of technology to their intention to use emerging educational technology in traditional classrooms. Dissertation Abstracts International Section A: Humanities and Social Sciences, 69(2-A), 576.

Barni, D., Danioni, F., & Benevene, P. (2019). Teachers’ self-efficacy: The role of personal values and motivations for teaching. Frontiers in Psychology, 10, 1645. https://doi.org/10.3389/fpsyg.2019.01645

Batane, T., & Ngwako, A. D. (2016). Technology use by pre-service teachers during teaching practice: Are new teachers embracing technology right away in their first teaching experience? Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.2299

Boonmoh, A., Jumpakate, T., & Karpklon, S. (2022b). A close look at the use of technology by Thai teachers in secondary EFL classrooms. Computer Assisted Language Learning Electronic Journal (CALL-EJ), 23(1), 78-107.

Boonmoh, A., Jumpakate, T., Saengmanee, S., & Rungkaew, T. (2022a). Integration of technology during the COVID-19 pandemic: Experience, challenges and needs of Thai EFL teachers. rEFLections, 29(2), 251–277. https://so05.tci-thaijo.org/index.php/reflections/article/view/259346

Christensen, R., & Knezek, G. (2016). Validating the Technology Proficiency Self-Assessment Questionnaire for 21st Century Learning (TPSA C-21). Journal of Digital Learning in Teacher Education, 32(4), 124-134. https://doi.org/10.1080/21532974.2016.1242391

Crompton, H., Burke, D., & Gregory, K. H. (2017). The use of mobile learning in PK-12 education: A systematic review. Computers & Education, 110, 51–63. https://doi.org/10.1016/j.compedu.2017.03.013

Cruz, F., & Díaz, M. J. S. (2016). Generation Z’s teachers and their digital skills. Comunicar, 24(46), 97–105. https://doi.org/10.3916/c46-2016-10

Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).

Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423-435. https://doi.org/10.1016/j.compedu.2012.02.001

Farjon, D., Smits, A., & Voogt, J. (2019). Technology integration of pre-service teachers explained by attitudes and beliefs, competency, access, and experience. Computers & Education, 130, 81–93. https://doi.org/10.1016/j.compedu.2018.11.010

Figg, C., Crawford, K., Lu, C., & Lu, O. (2020). E3Cs: A research-based model for effective digital learning for K-6 schools. Brock Education Journal. 29(2), 24-29. https://doi.org/10.26522/brocked.v29i2.835

Fuady, I., Sutarjo, M. A. S., & Ernawati, E. (2021). Analysis of students’ perceptions of online learning media during the COVID-19 pandemic (Study of E-learning media: Zoom, Google Meet, Google Classroom, and LMS). Randwick International of Social Science Journal, 2(1), 51–56. https://doi.org/10.47175/rissj.v2i1.177

Graziano, K. J. (2018). Preservice teachers’ comfort levels with technology in an online standalone educational technology course. Journal of Teaching and Learning with Technology, 7(1), 70–86. https://doi.org/10.14434/jotlt.v7i1.23492

Gür, H., & Karamete, A. (2015). A short review of TPACK for teacher education. Educational Research and Reviews, 10(7), 777–789. https://doi.org/10.5897/err2014.1982

Gyamfi, S. (2016). Identifying Ghanaian pre-service teachers’ readiness for computer use: A technology acceptance model approach. International Journal of Education and Development Using ICT, 12(2), 105–122. http://files.eric.ed.gov/fulltext/EJ1111466.pdf

Hamid, S. M. (2020). Online digital platforms during COVID-19 in EFL classes: Visual impairment student’ perception. Eternal (English, Teaching, Learning & Research Journal, 6(2), 328. https://doi.org/10.24252/eternal.v62.2020.a10

Hong, X., Zhang, M., & Liu, Q. (2021). Preschool teachers’ technology acceptance during the COVID-19: An adapted technology acceptance model. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.691492

Hsu, P. S. (2016). Examining current beliefs, practices and barriers about technology integration: A case study. TechTrends, 60(1), 30-40. https://doi.org/10.1007/s11528-015-0014-3

Huang, F., Teo, T., & Zhou, M. (2019). Factors affecting Chinese English as a foreign language teachers’ technology acceptance: A qualitative study. Journal of Educational Computing Research, 57(1), 83-105.

Junco, R. (2014). iSpy: Seeing what students really do online. Learning, Media and Technology, 39(1), 75–89. https://doi.org/10.1080/17439884.2013.771782

Kong, S. C., Chan, T., Griffin, P. R., Hoppe, U., Huang, R., Kinshuk, Looi, C., Milrad, M., Norris, C., Nussbaum, M., Sharples, M., So, W. M. W., Soloway, E., & Yu, S. (2014). E-learning in school education in the coming 10 years for developing 21st-century skills: Critical research issues and policy implications. Educational Technology & Society, 17(1), 70–78. http://chan.lst.ncu.edu.tw/publications/2014-E-learning%20in%20school%20education.pdf

Kordaki, M., & Gousiou, A. (2017). Digital card games in education: A ten-year systematic review. Computers & Education, 109, 122–161. https://doi.org/10.1016/j.compedu.2017.02.011

MacDonald, A., Huser, C., Sikder, S., & Danaia, L. (2020). Effective early childhood STEM education: Findings from the Little Scientists evaluation. Early Childhood Education Journal, 48(3), 353–363. https://doi.org/10.1007/s10643-019-01004-9

McGarr, O., & Gallchóir, C. Ó. (2020). Exploring pre-service teachers’ justifications for one-to-one technology use in schools: Implications for initial teacher education. Technology, Pedagogy and Education, 29(4), 477–490. https://doi.org/10.1080/1475939x.2020.1784261

McGill, T., Klobas, J., & Renzi, S. (2011). LMS use and instructor performance: The role of task-technology fit. International Journal on E-Learning, 10(1), 43–62.

Mustakim, Trisnaningsih, & Adha, M. M. (2020). The effectiveness of online collaborative learning during COVID-19 pandemic. In Proceedings of the 4th Sriwijaya University Learning and Education International Conference (SULE-IC 2020). https://doi.org/10.2991/assehr.k.201230.115

Naqvi, S., & Zehra, I. (2021). Online EFL emergency remote teaching during COVID-19, challenges and innovative practices: A case of Oman. Arab World English Journal, 2, 17–35. https://doi.org/10.24093/awej/mec2.2

Papadakis, S. (2018). Evaluating pre-service teachers’ acceptance of mobile devices with regards to their age and gender: A case study in Greece. International Journal of Mobile Learning and Organisation, 12(4), 336. https://doi.org/10.1504/ijmlo.2018.095130

Petri, G., & Von Wangenheim, C. G. (2017). How games for computing education are evaluated? A systematic literature review. Computers & Education, 107, 68–90. https://doi.org/10.1016/j.compedu.2017.01.004

Purcell, K., Heaps, A., Buchanan, J., & Friedrich, L. (2013). How teachers are using technology at home and in their classrooms. Pew Research Center, 28, 1-45. https://www.pewresearch.org/internet/2013/02/28/how-teachers-are-using-technology-at-home-and-in-their-classrooms

Raja, R., & Nagasubramani, P. C. (2018). Impact of modern technology in education. Journal of Applied and Advanced Research, 3(1), 33-35. https://doi.org/10.21839/jaar.2018.v3is1.165

Ranellucci, J., Rosenberg, J. M., & Poitras, E. G. (2020). Exploring pre‐service teachers’ use of technology: The technology acceptance model and expectancy–value theory. Journal of Computer Assisted Learning, 36(6), 810–824. https://doi.org/10.1111/jcal.12459

Saenkhot, A., & Boonmoh, A. (2019). Factors affecting teachers’ use of technologies as teaching aids in Thai EFL classrooms. Journal of Liberal Arts Prince of Songkla University, 11(1), 269-306.

Sánchez-Mena, A., Martí-Parreño, J., & Aldas-Manzano, J. (2019). Teachers’ intention to use educational video games: The moderating role of gender and age. Innovations in Education and Teaching International, 56(3), 318–329. https://doi.org/10.1080/14703297.2018.1433547

Sangkawetai, C., Neanchaleay, J., Koul, R., & Murphy, E. (2020). Predictors of K-12 teachers’ instructional strategies with ICTs. Technology, Knowledge, and Learning, 25(1), 149–177. https://doi.org/10.1007/s10758-018-9373-0

Schmid, M., Brianza, E. M., & Petko, D. (2021). Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans. Computers in Human Behavior, 115, 106586. https://doi.org/10.1016/j.chb.2020.106586

Serhan, D. (2020, September 2). Transitioning from face-to-face to remote learning: Students’ attitudes and perceptions of using Zoom during COVID-19 pandemic. International Journal of Technology in Education and Science, 4(4), 335-342. https://doi.org/10.46328/ijtes.v4i4.148

Serin, H., & Bozdağ, F. (2020). Relationship between teachers’ attitudes towards technology use in education and autonomy behaviors. Turkish Online Journal of Educational Technology, 19(3), 60–69. http://files.eric.ed.gov/fulltext/EJ1261402.pdf

Subedi, S., Nayaju, S., & Subedi, S. (2020). Impact of e-learning during COVID-19 pandemic among nursing students and teachers of Nepal. International Journal of Science and Healthcare Research, 5(3), 68–76. https://ijshr.com/IJSHR_Vol.5_Issue.3_July2020/IJSHR0012.pdf

Teo, T. (2015). Comparing pre-service and in-service teachers’ acceptance of technology: Assessment of measurement invariance and latent mean differences. Computers & Education, 83, 22–31. https://doi.org/10.1016/j.compedu.2014.11.015

Teo, T., Huang, F., & Hoi, C. K. W. (2018). Explicating the influences that explain intention to use technology among English teachers in China. Interactive Learning Environments, 26(4), 460–475. https://doi.org/10.1080/10494820.2017.1341940

Thammachat, P., & Kerdtip, C. (2021). Review onsite lessons to online with the non-directional teacher development in the era of the COVID-19 crisis. Journal of MCU Nakhondhat, 8(12), 18–39. https://so03.tci-thaijo.org/index.php/JMND/article/view/257644

UNESCO. (2020). COVID-19 educational disruption and response. Retrieved from https://en.unesco.org/covid19/educationresponse

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Wiangsima, A., & Boonmoh, A. (2018). Teachers’ perceptions for teaching English in the near future. Journal of Liberal Arts, Ubon Ratchathani University, 14(2), 270-311.

Wong, G. W. (2015). Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong. Australasian Journal of Educational Technology, 31(6). https://doi.org/10.14742/ajet.1890

Wong, L. H. (2015). A study of pre-service teachers’ attitude and intention to use interactive whiteboards in classrooms. Educational Technology & Society, 18(3), 152-163.




DOI: https://doi.org/10.7575/aiac.ijels.v.12n.3p.197

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