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facilitating condition pandemic pls sem technology acceptance model tpack self efficacy

Indonesian Teachers' Acceptance on Online Teaching Technology During the COVID-19 Pandemic

Bisri Musthofa , I Nyoman Sudana Degeng , Punaji Setyosari , Sulthoni

This study investigates the impact of external variables, technological pedagogical and content knowledge (TPACK) self-efficacy, and facilitating cond.

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This study investigates the impact of external variables, technological pedagogical and content knowledge (TPACK) self-efficacy, and facilitating conditions on teacher adoption of online teaching technology during the COVID-19 pandemic. It employs explanatory research to characterize the effect of external variables on the variables of the technology acceptance model. 240 high school teachers filled out Google Forms survey questionnaires for six research variables and analyzed by the SmartPLS program. The result indicates that attitude and perceived usefulness significantly and positively influence behavioral intention. Perceived usefulness and ease of use have a strong positive effect on attitude. Furthermore, perceived ease of use has a considerable effect on perceived usefulness. Perceived usefulness and ease of use are not significantly influenced by external variables. Facilitating conditions significantly positively affect behavioral intention, whereas TPACK self-efficacy negatively affects behavioral intention.

Keywords: Facilitating condition, pandemic, PLS-SEM, technology acceptance model, TPACK self-efficacy.

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Abbitt, J. T. (2011). Measuring technological pedagogical content knowledge in preservice teacher education: A review of current methods and instruments. Journal of Research on Technology in Education, 43(4), 281–300. https://doi.org/10.1080/15391523.2011.10782573

Ahmed, R. R., Štreimikienė, D., & Štreimikis, J. (2022). The extended utaut model and learning management system during COVID-19: Evidence from PLS-SEM and conditional process modeling. Journal of Business Economics and Management, 23(1), 82–104. https://doi.org/10.3846/jbem.2021.15664 

Alturki, U., & Aldraiweesh, A. (2021). Application of learning management system (LMS) during the COVID-19 pandemic: A sustainable acceptance model of the expansion technology approach. Sustainability, 13(19), Article 10991. https://doi.org/10.3390/su131910991

Andyani, H., Setyosari, P., Wiyono, B. B., & Djatmika, E. T. (2020). Does technological pedagogical content knowledge impact on the use of ICT in pedagogy? International Journal of Emerging Technologies in Learning, 15(3), 126–139. https://doi.org/10.3991/ijet.v15i03.11690

Baber, H. (2021). Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. International Journal of Management Education, 19(2), Article 100503. https://doi.org/10.1016/j.ijme.2021.100503

Chick, R. C., Clifton, G. T., Peace, K. M., Propper, B. W., Hale, D. F., Alseidi, A. A., & Vreeland, T. J. (2020). Using technology to maintain the education of residents during the COVID-19 pandemic. Journal of Surgical Education, 77(4), 729–732. https://doi.org/10.1016/j.jsurg.2020.03.018 

Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects, 49, 91-96. https://doi.org/10.1007/s11125-020-09464-3 

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022 

Dewi, M. S., Setyosari, P., Kuswandi, D., & Ulfa, S. (2020). Analysis of kindergarten teachers on pedagogical content knowledge. European Journal of Educational Research, 9(4), 1701–1721. https://doi.org/10.12973/eu-jer.9.4.1701

De Witte, K., & Rogge, N. (2014). Does ICT matter for effectiveness and efficiency in mathematics education? Computers and Education, 75, 173–184. https://doi.org/10.1016/j.compedu.2014.02.012

Elmaadaway, M. A. N., & Abouelenein, Y. A. M. (2023). In-service teachers’ TPACK development through an adaptive e-learning environment (ALE). Education and Information Technologies, 28, 8273–8298. https://doi.org/10.1007/s10639-022-11477-8

Fauzi, A., Wandira, R., Sepri, D., & Hafid, A. (2021). Exploring students’ acceptance of google classroom during the covid-19 pandemic by using the technology acceptance model in west sumatera universities. Electronic Journal of E-Learning, 19(4), 233–240. https://doi.org/10.34190/ejel.19.4.2348

Ferrel, M. N., & Ryan, J. J. (2020). The impact of COVID-19 on medical education. Cureus, 12(3), Article e74921. https://doi.org/10.7759/cureus.7492 

Garcia, R. E., Santos, A. R. D., & Buraga, J. F. (2023). The abrupt shift to online learning during the pandemic: Focus on teachers’ experiences and perspectives. European Journal of Educational Research, 12(2), 947–956. https://doi.org/10.12973/eu-jer.12.2.947  

Guillén-Gámez, F. D., & Mayorga-Fernández, M. J. (2020). Identification of variables that predict teachers’ attitudes toward ict in higher education for teaching and research: A study with regression. Sustainability, 12(4), Article 1312. https://doi.org/10.3390/su12041312

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209. https://doi.org/10.1177/1094428114526928 

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8

Infurna, C. J., Riter, D., & Schultz, S. (2018). Factors that determine preschool teacher self-efficacy in an urban school district. International Electronic Journal of Elementary Education, 11(1), 1–7. https://doi.org/10.26822/IEJEE.2018143929

Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology. Journal of Educational Technology and Society, 21(3), 48–59. http://www.jstor.org/stable/26458506  

Kazu, I. Y., & Erten, P. (2014). Teachers’ technological pedagogical content knowledge self-efficacies. Journal of Education and Training Studies, 2(2), 126–144. https://doi.org/10.11114/jets.v2i2.261  

Keržič, D., Aristovnik, A., Tomaževič, N., & Umek, L. (2019). Assessing the impact of students’ activities in e-courses on learning outcomes: A data mining approach. Interactive Technology and Smart Education, 16(2), 117–129. https://doi.org/10.1108/ITSE-09-2018-0069

Koehler, M. J., Kereluki, K., & Mishra, P. (2011). On learning to subvert signs: Technology and the TPACK framework. The California Reader, 44(2), 12–18. https://bit.ly/40ZPxsF

Koehler, M. J., Mishra, P., Akcaoglu, M., & Rosenberg, J. M. (2016). The technological pedagogical content knowledge framework for teachers and teacher educators. In M. R. Panigrahi (Ed.), Resource book on ICT integrated teacher education (pp. 20 – 28). Commonwealth Educational Media Centre for Asia. https://bit.ly/47VPQaa

Koehler, M. J., Mishra, P., & Cain, W. (2013). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 193(3), 13–19. https://doi.org/10.1177/002205741319300303  

Kopcha, T. J. (2012). Teachers’ perceptions of the barriers to technology integration and practices with technology under situated professional development. Computers and Education, 59(4), 1109–1121. https://doi.org/10.1016/j.compedu.2012.05.014

Lee, M.-H., & Tsai, C.-C. (2010). Exploring teachers’ perceived self efficacy and technological pedagogical content knowledge with respect to educational use of the World wide Web. Instructional Science, 38, 1–21. https://doi.org/10.1007/s11251-008-9075-4

Li, B. (2022). Ready for online? exploring EFL teachers’ ICT acceptance and ICT literacy during COVID-19 in Mainland China. Journal of Educational Computing Research, 60(1), 196–219. https://doi.org/10.1177/07356331211028934  

Liu, C., Marchewka, J. T., Lu, J., & Yu, C.-S. (2005). Beyond concern-a privacy-trust-behavioral intention model of electronic commerce. Information and Management, 42(2), 289–304. https://doi.org/10.1016/j.im.2004.01.003

Marfuah, M., Suryadi, D., Turmudi, T., & Isnawan, M. G. (2022). Providing online learning situations for in-service mathematics teachers’ external transposition knowledge during Covid-19 pandemic: Case of Indonesia. Electronic Journal of E-Learning, 20(1), 69-84. https://doi.org/10.34190/ejel.20.1.2388

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x 

Muhaimin, M., Habibi, A., Mukminin, A., Saudagar, F., Pratama, R., Wahyuni, S., Sadikin, A., & Indrayana, B. (2019). A sequential explanatory investigation of TPACK: Indonesian science teachers’ survey and perspective. Journal of Technology and Science Education, 9(3), 269-281. https://doi.org/10.3926/jotse.662

Natasia, S. R., Wiranti, Y. T., & Parastika, A. (2022). Acceptance analysis of NUADU as e-learning platform using the Technology Acceptance Model (TAM) approach. Procedia Computer Science, 197, 512–520. https://doi.org/10.1016/j.procs.2021.12.168

Park, I., Kim, D., Moon, J., Kim, S., Kang, Y., & Bae, S. (2022). Searching for new technology acceptance model under social context: Analyzing the determinants of acceptance of intelligent information technology in digital transformation and implications for the requisites of digital sustainability. Sustainability, 14(1), Article 579. https://doi.org/10.3390/su14010579 

Polat, E., Hopcan, S., & Yahşi, Ö. (2022). Are K–12 Teachers ready for e-learning? The International Review of Research in Open and Distributed Learning, 23(2), 214–241. https://doi.org/10.19173/irrodl.v23i2.6082

Proedrou, A., Stankova, M., Malagkoniari, M., & Mihova, P. (2023). Self-efficacy and attitudes toward computers of general and special education teachers in Greece during the COVID-19 period. European Journal of Educational Research, 12(4), 1645–1656. https://doi.org/10.12973/eu-jer.12.4.1645 

Reflianto, Setyosari, P., Kuswandi, D., & Widiati, U. (2021). Reading comprehension skills: The effect of online flipped classroom learning and student engagement during the COVID-19 pandemic. European Journal of Educational Research, 10(4), 1613–1624. https://doi.org/10.12973/eu-jer.10.4.1613

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002

Saubern, R., Henderson, M., Heinrich, E., & Redmond, P. (2020). TPACK – time to reboot? Australasian Journal of Educational Technology, 36(3), 1–9. https://doi.org/10.14742/ajet.6378

Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (2009). Technological pedagogical content knowledge (TPACK): The development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42(2), 123–149. https://doi.org/10.1080/15391523.2009.10782544

Shuhaiber, A. (2016). How facilitating conditions impact students ’ intention to use virtual lectures? an empirical evidence. In T. Atmaca & M. Jäntti (Eds.), Proceedings of the Twelfth Advanced International Conference on Telecommunications (pp. 68–75). IARIA Publisher.

Songkram, N., & Osuwan, H. (2022). Applying the technology acceptance model to elucidate K-12 teachers’ use of digital learning platforms in thailand during the COVID-19 pandemic. Sustainability, 14(10), Article 6027. https://doi.org/10.3390/su14106027

Stockless, A. (2018). Acceptance of learning management system: The case of secondary school teachers. Education and Information Technologies, 23, 1101–1121. https://doi.org/10.1007/s10639-017-9654-6

Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11), Article E05410. https://doi.org/10.1016/j.heliyon.2020.e05410

Sulistiani, I. R., Setyosari, P., Sa’dijah, C., & Praherdhiono, H. (2024). Technological pedagogical content knowledge of preservice elementary teachers: Relationship to self-regulation and technology integration self-efficacy. European Journal of Educational Research, 12(1), 159–170. https://doi.org/10.12973/eu-jer.13.1.159

Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers and Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008

Teo, T., & Milutinovic, V. (2015). Modelling the intention to use technology for teaching mathematics among pre-service teachers in Serbia. Australasian Journal of Educational Technology, 31(4), 363–380. https://doi.org/10.14742/ajet.1668

Thohir, M. A., Ahdhianto, E., Mas’ula, S., Yanti, F. A., & Sukarelawan, M. I. (2023). The effects of TPACK and facility condition on preservice teachers’ acceptance of virtual reality in science education course. Contemporary Educational Technology, 15(2), ep407. https://doi.org/10.30935/cedtech/12918

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143. https://doi.org/10.2307/249443 

Turnbull, D., Chugh, R., & Luck, J. (2021). Transitioning to E-Learning during the COVID-19 pandemic: How have higher education institutions responded to the challenge? Education and Information Technologies, 26, 6401–6419. https://doi.org/10.1007/s10639-021-10633-w

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926 

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412  

Yang, J., Wang, Q., Wang, J., Huang, M., & Ma, Y. (2021). A study of K-12 teachers’ TPACK on the technology acceptance of E-schoolbag. Interactive Learning Environments, 29(7), 1062–1075. https://doi.org/10.1080/10494820.2019.1627560

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