Examining teachers’ behavioural intention for online teaching after COVID-19 pandemic: A large-scale survey

Thi Diem Hang Khong1, İ̇smail Çelik2, Tinh Thanh Thi Le3, Van Thi Thanh Lai1, Andy Nguyen2, Hong-Thuy Bui4
1Faculty of Education, Monash University, Melbourne, Australia
2Learning & Educational Technology Research Unit (LET), University of Oulu, Oulu, Finland
3University of Science and Education, The University of Danang, Danang, Vietnam
4Birmingham City University, Birmingham, UK

Tóm tắt

Abstract Recently, the coronavirus disease 2019 (COVID-19) pandemic has led to rapid digitalisation in education, requiring educators to adopt several technologies simultaneously for online learning and teaching. Using a large-scale survey (N = 1740), this study aims to construct a model that predicts teachers’ extensive technology acceptance by extending the Technology Acceptance Model (TAM) with their technological pedagogical content knowledge (TPACK) and innovativeness. TAM has been a valuable tool to measure the adoption of new technology in various contexts, including education. However, TAM has been designed and principally applied to assess user acceptance of a specific technology implementation. This study has extended TAM to measure teachers’ technology-enabled practice (online teaching) with the adoption of various technologies. The proposed model explains teachers’ behavioural intention to teach online with a good fit. Our findings revealed the collective effects of TPACK, perceived usefulness (PU) of technology, and innovativeness on teachers’ behavioural intention to teach online post-pandemic. Moreover, the study identified training and support from school as a significant predictor for both teachers’ TPACK and PU. The novelty of this study lies in its model conceptualisation that incorporates both information-technology-based constructs and personal-competence-based features, including TPACK and innovativeness. Furthermore, our study contributes to the growing body of literature that addresses the online teaching adoption by schoolteachers in the post-pandemic era.

Từ khóa


Tài liệu tham khảo

Abbass, H. A. (2019). Multimodal fusion for objective assessment of cognitive workload: A review. IEEE Transactions on Cybernetics, 1–14. https://doi.org/10.1109/tcyb.2019.2939399

Abbitt, J. T. (2011). An investigation of the relationship between self-efficacy beliefs about technology integration and technological pedagogical content knowledge (TPACK) among preservice teachers. Journal of Digital Learning in Teacher Education, 27(4), 134–143. https://doi.org/10.1080/21532974.2011.10784670

Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: the challenges and opportunities. Interactive Learning Environments, 1–13. https://doi.org/10.1080/10494820.2020.1813180

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215. https://doi.org/10.1287/isre.9.2.204

Ahmet, K., Peggy, E., Eralp, B., Mehmet, D., Arzu, S., & Ruhan, O. (2016). Factors influencing Turkish preservice teachers’ intentions to use educational technologies and mediating role of risk perceptions. Journal of Technology and Teacher Education, 24(1), 37–62.

Armenteros, M., Liaw, S.-S., Fernández, M., Díaz, R. F., & Sánchez, R. A. (2013). Surveying FIFA instructors’ behavioral intention toward the multimedia teaching materials. Computers & Education, 61, 91–104. https://doi.org/10.1016/j.compedu.2012.09.010

Akyuz, D. (2018). Measuring technological pedagogical content knowledge (TPACK) through performance assessment. Computers & Education, 125, 212–225. https://doi.org/10.1016/j.compedu.2018.06.012

Ameen, N., Willis, R., Abdullah, M. N., & Shah, M. (2019). Towards the successful integration of e-learning systems in higher education in Iraq: A student perspective. British Journal of Educational Technology, 50(3), 1434–1446. https://doi.org/10.1111/bjet.12651

An, Y., Kaplan-Rakowski, R., Yang, J., Conan, J., Kinard, W., & Daughrity, L. (2021). Examining K-12 teachers’ feelings, experiences, and perspectives regarding online teaching during the early stage of the COVID-19 pandemic. Educational Technology Research and Development, 1–25. https://doi.org/10.1007/s11423-021-10008-5

Azjen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.

Benson, S. N. K., & Ward, C. L. (2013). Teaching with technology: Using TPACK to understand teaching expertise in online higher education. Journal of Educational Computing Research, 48(2), 153–172.

Bergdahl, N., & Nouri, J. (2021). Covid-19 and crisis-prompted distance education in Sweden. Technology, Knowledge and Learning, 26(3), 443–459. https://doi.org/10.1007/s10758-020-09470-6

Blackwell, C. K., Lauricella, A. R., & Wartella, E. (2016). The influence of TPACK contextual factors on early childhood educators’ tablet computer use. Computers & Education, 98, 57–69. https://doi.org/10.1016/j.compedu.2016.02.010

Boticki, I., Baksa, J., Seow, P., & Looi, C.-K. (2015). Usage of a mobile social learning platform with virtual badges in a primary school. Computers & Education, 86, 120–136. https://doi.org/10.1016/j.compedu.2015.02.015

Celik, I. (2022). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 107468. https://doi.org/10.1016/j.chb.2022.107468

Chen, T., Li, G., Feng, Q., Liu, J., Wang, P., & Luo, H. (2021). What drives college teachers’ behavioral intention to teach online? A structural equation modelling approach. International Symposium on Educational Technology (ISET), 2021, 106–111. https://doi.org/10.1109/ISET52350.2021.00031

Chisholm, M. I., & Padgett, H. (2004). Observations of faculty integration of technology into teacher preparation. Paper presented at the Proceedings of SITE 2004--Society for Information Technology & Teacher Education International Conference (pp. 3498–3504), Atlanta. Retrieved January 31, 2022 from https://www.learntechlib.org/primary/p/13405/

Chou, H.-L., & Chou, C. (2021). A multigroup analysis of factors underlying teachers’ technostress and their continuance intention toward online teaching. Computers and Education, 175, 104335. https://doi.org/10.1016/j.compedu.2021.104335

Chou, C.-M., Shen, C.-H., Hsiao, H.-C., & Shen, T.-C. (2019). Factors influencing teachers’ innovative teaching behaviour with information and communication technology (ICT): The mediator role of organisational innovation climate. Educational Psychology, 39(1), 65–85. https://doi.org/10.1080/01443410.2018.1520201

Cigdem, H., & Topcu, A. (2015). Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Computers in Human Behavior, 52, 22–28. https://doi.org/10.1016/j.chb.2015.05.049

Çınar, M., Ekici, M., & Demir, Ö. (2021). A snapshot of the readiness for e-learning among in-service teachers prior to the pandemic-related transition to e-learning in Turkey. Teaching and Teacher Education, 107, 103478. https://doi.org/10.1016/j.tate.2021.103478

Crespo, Á. H., & Rodríguez, I. A. R. D. B. (2008). Explaining B2C e-commerce acceptance: An integrative model based on the framework by Gatignon and Robertson. Interacting with Computers, 20(2), 212–224. https://doi.org/10.1016/j.intcom.2007.11.005

Damşa, C., Langford, M., Uehara, D., & Scherer, R. (2021). Teachers’ agency and online education in times of crisis. Computers in Human Behavior, 121, 106793. https://doi.org/10.1016/j.chb.2021.106793

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]. Retrieved January 31, 2022 from https://dspace.mit.edu/bitstream/handle/1721.1/15192/14927137-MIT.pdf?sequence=2

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., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Doering, A., Veletsianos, G., Scharber, C., & Miller, C. (2009). Using the technological, pedagogical, and content knowledge framework to design online learning environments and professional development. Journal of Educational Computing Research, 41(3), 319–346. https://doi.org/10.2190/EC.41.3.d

Domingo, M. G., & Garganté, A. B. (2016). Exploring the use of educational technology in primary education: Teachers’ perception of mobile technology learning impacts and applications’ use in the classroom. Computers in Human Behavior, 56, 21–28. https://doi.org/10.1016/j.chb.2015.11.023

Ertmer, P. A., & Ottenbreit-Leftwich, A. (2013). Removing obstacles to the pedagogical changes required by Jonassen’s vision of authentic technology-enabled learning. Computers & Education, 64, 175–182. https://doi.org/10.1016/j.compedu.2012.10.008

Gudmundsdottir, G. B., & Hathaway, D. M. (2020). We always make It work: Teachers’ agency in the time of crisis. Journal of Technology and Teacher Education, 28(2), 239–250.

Gudmundsdottir, G. B., & Hatlevik, O. E. (2018). Newly qualified teachers’ professional digital competence: Implications for teacher education. European Journal of Teacher Education, 41(2), 214–231. https://doi.org/10.1080/02619768.2017.1416085

Hong, X., Zhang, M., & Liu, Q. (2021). Preschool teachers’ technology acceptance during the COVID-19: An adapted technology acceptance model. Frontiers in Psychology, 12, 691492–691492. https://doi.org/10.3389/fpsyg.2021.691492

Howard, S. K., Tondeur, J., Siddiq, F., & Scherer, R. (2021). Ready, set, go! Profiling teachers’ readiness for online teaching in secondary education. Technology, Pedagogy and Education, 30(1), 141–158. https://doi.org/10.1080/1475939X.2020.1839543

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Hung, W.-C., & Jeng, I. (2013). Factors influencing future educational technologists’ intentions to participate in online teaching. British Journal of Educational Technology, 44(2), 255–272. https://doi.org/10.1111/j.1467-8535.2012.01294.x

Ifinedo, E., Rikala, J., & Hämäläinen, T. (2020). Factors affecting Nigerian teacher educators’ technology integration: Considering characteristics, knowledge constructs, ICT practices and beliefs. Computers and Education, 146, 103760. https://doi.org/10.1016/j.compedu.2019.103760

Jensen, U. T. (2020). Is self-reported social distancing susceptible to social desirability bias? Using the crosswise model to elicit sensitive behaviors. Journal of Behavioral Public Administration, 3(2), 1–11. https://doi.org/10.30636/jbpa.32.182

Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and Technology Acceptance Model. Educational Technology & Society, 21(3), 48–59.

Kabakci Yurdakul, I., Odabasi, H. F., Kilicer, K., Coklar, A. N., Birinci, G., & Kurt, A. A. (2012). The development, validity and reliability of TPACK-deep: A technological pedagogical content knowledge scale. Computers & Education, 58(3), 964–977. https://doi.org/10.1016/j.compedu.2011.10.012

Khlaif, Z. N., Salha, S., Affouneh, S., Rashed, H., & ElKimishy, L. A. (2021). The Covid-19 epidemic: Teachers’ responses to school closure in developing countries. Technology, Pedagogy and Education, 30(1), 95–109. https://doi.org/10.1080/1475939X.2020.1851752

Khlaif, Z. N., Sanmugam, M., & Ayyoub, A. (2022). Impact of technostress on continuance intentions to use mobile technology. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-021-00638-x

Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70.

Koehler, M. J., Mishra, P., Kereluik, K., Shin, T. S., & Graham, C. R. (2014). The technological pedagogical content knowledge framework. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (pp. 101–111). Springer.

Koh, J. H. L., Chai, C. S., & Lim, W. Y. (2017). Teacher professional development for TPACK-21CL: Effects on teacher ICT integration and student outcomes. Journal of Educational Computing Research, 55(2), 172–196. https://doi.org/10.1177/0735633116656848

Kovacs, H., Pulfrey, C., & Monnier, E.-C. (2021). Surviving but not thriving: Comparing primary, vocational and higher education teachers’ experiences during the COVID-19 lockdown. Education and Information Technologies, 26(6), 7543–7567. https://doi.org/10.1007/s10639-021-10616-x

Lachner, A., Fabian, A., Franke, U., Preiß, J., Jacob, L., Führer, C., Küchler, U., Paravicini, W., Randler, C., & Thomas, P. (2021). Fostering pre-service teachers’ technological pedagogical content knowledge (TPACK): A quasi-experimental field study. Computers and Education, 174, 104304. https://doi.org/10.1016/j.compedu.2021.104304

Le, A. V., Dang, T. T. H., Bui, T. D., Vuong, Q. A., Phung, T. T. T., Do, D. L., & Tran, T. B. N. (2022a). Thực tiễn dạy học trực tuyến của giáo viên phổ thông Việt Nam trong đại dịch COVID-19: Kết quả phân tích từ khảo sát diện rộng [Exploring online teaching of Vietnamese school teachers during the Covid-19 pandemic: Results from a large scale research]. Vietnam Journal of Educational Sciences, 18(4), 1–11.

Le, V. T., Nguyen, N. H., Tran, T. L. N., Nguyen, L. T., Nguyen, T. A., & Nguyen, M. T. (2022b). The interaction patterns of pandemic-initiated online teaching: How teachers adapted. System, 105, 102755. https://doi.org/10.1016/j.system.2022.102755

Leask, M., & Younie, S. (2022). Education for all in times of crisis: Lessons from Covid-19. Routledge.

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. https://doi.org/10.1016/S0378-7206(01)00143-4

Li, B. (2021). 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, Y., Li, H., & Carlsson, C. (2010). Factors driving the adoption of m-learning: An empirical study. Computers & Education, 55(3), 1211–1219. https://doi.org/10.1016/j.compedu.2010.05.018

Luckin, R., Bligh, B., Manches, A., Ainsworth, S., Crook, C., & Noss, R. (2012). Decoding learning: The proof, promise and potential of digital education. Nesta.

McAllister, L., & Graham, C. (2016). An analysis of the curriculum requirements for K-12 online teaching endorsements in the US. Journal of Online Learning Research, 2(3), 247–282.

Mei, B., Brown, G. T. L., & Teo, T. (2018). Toward an understanding of preservice English as a foreign language teachers’ acceptance of computer-assisted language learning 2.0 in the People’s Republic of China. Journal of Educational Computing Research, 56(1), 74–104. https://doi.org/10.1177/0735633117700144

Menabò, L., Sansavini, A., Brighi, A., Skrzypiec, G., & Guarini, A. (2021). Promoting the integration of technology in teaching: An analysis of the factors that increase the intention to use technologies among Italian teachers. Journal of Computer Assisted Learning, 37(6), 1566–1577. https://doi.org/10.1111/jcal.12554

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

Mohee, R., & Perris, K. (2021). A guide for implementing a quality assurance institutional review tool for blended learning. Commonwealth of Learning.

Nguyen, A., Tuunanen, T., Gardner, L., & Sheridan, D. (2021). Design principles for learning analytics information systems in higher education. European Journal of Information Systems, 30(5), 541–568. https://doi.org/10.1080/0960085X.2020.1816144

Niess, M. L. (2005). Preparing teachers to teach science and mathematics with technology: Developing a technology pedagogical content knowledge. Teaching and Teacher Education, 21(5), 509–523. https://doi.org/10.1016/j.tate.2005.03.006

Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56–73. https://doi.org/10.1016/j.compedu.2017.02.005

Nikou, S. A., & Economides, A. A. (2019). Factors that influence behavioral intention to use mobile-based assessment: A STEM teachers’ perspective. British Journal of Educational Technology, 50(2), 587–600. https://doi.org/10.1111/bjet.12609

Nolen, S. B., Ward, C. J., & Horn, I. S. (2014). Changing practice(s): A situative account of teachers’ motivations to learn. In P. W. Richardson, S. A. Karabenick, & H. M. G. Watt (Eds.), Teacher motivation: Theory and practice (pp. 167–181). Routledge.

Ozgun-Koca, S. A. (2009). The views of preservice teachers about the strengths and limitations of the use of graphing calculators in mathematics instruction. Journal of Technology and Teacher Education, 17(2), 203–227.

Paetsch, J., & Drechsel, B. (2021). Factors influencing pre-service teachers’ intention to use digital learning materials: A study conducted during the COVID-19 pandemic in Germany. Frontiers in Psychology, 12, 733830–733830. https://doi.org/10.3389/fpsyg.2021.733830

Pham, P. T., Phan, T. T. T., Nguyen, Y. C., & Hoang, A. D. (2021). Factor associated with teacher satisfaction and online teaching effectiveness under dversity situations: A case of Vietnamese teachers during COVID-19. Journal of Education, 1–11. https://doi.org/10.1177/00220574211039483

Porras-Hernández, L. H., & Salinas-Amescua, B. (2013). Strengthening TPACK: A broader notion of context and the use of teacher’s narratives to reveal knowledge construction. Journal of Educational Computing Research, 48(2), 223–244. https://doi.org/10.2190/EC.48.2.f

Powell, A., Rabbitt, B., & Kennedy, K. (2014). INACOL blended learning teacher competency framework. iNACOL. Retrieved January 31, 2022 from https://aurora-institute.org/wp-content/uploads/iNACOL-Blended-Learning-Teacher-Competency-Framework.pdf

Pynoo, B., Tondeur, J., van Braak, J., Duyck, W., Sijnave, B., & Duyck, P. (2012). Teachers’ acceptance and use of an educational portal. Computers & Education, 58(4), 1308–1317. https://doi.org/10.1016/j.compedu.2011.12.026

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers’ intentions to use Web 2.0 technologiesuUsing decomposed theory of planned behavior. Journal of Research on Technology in Education, 45(2), 171–196. https://doi.org/10.1080/15391523.2012.10782602

Sangeeta, & Tandon, U. (2021). Factors influencing adoption of online teaching by school teachers: A study during COVID-19 pandemic. Journal of Public Affairs, 21(4), e2503-n/a. https://doi.org/10.1002/pa.2503

Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021). Profiling teachers’ readiness for online teaching and learning in higher education: Who’s ready? Computers in Human Behavior, 118, 1–16. https://doi.org/10.1016/j.chb.2020.106675

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. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009

Scherer, R., Siddiq, F., & Tondeur, J. (2020). All the same or different? Revisiting measures of teachers’ technology acceptance. Computers & Education, 143, 103656. https://doi.org/10.1016/j.compedu.2019.103656

Schlichter, A. (2020). The impact of Covid-19 on education: Insights from education at a glance 2020. OECD Publishing.

Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.). Taylor & Francis.

Singapore Ministry of Education. (n.d.). Singapore Student Learning Space. Singapore Ministry of Education. Retrieved September 25, 2022 from https://www.learning.moe.edu.sg/sls/index.html

So, H.-J., & Kim, B. (2009). Learning about problem based learning: Student teachers integrating technology, pedagogy and content knowledge. Australasian Journal of Educational Technology, 25(1), 101–116. https://doi.org/10.14742/ajet.1183

Sperber, A. D., Devellis, R. F., & Boehlecke, B. (1994). Cross-cultural translation: Methodology and validation. Journal of Cross-Cultural Psychology, 25(4), 501–524. https://doi.org/10.1177/0022022194254006

Stockless, A. (2017). Acceptance of learning management system: The case of secondary school teachers. Education and Information Technologies, 23(3), 1101–1121. https://doi.org/10.1007/s10639-017-9654-6

Tay, L. Y., Lee, S.-S., & Ramachandran, K. (2021). Implementation of online home-based learning and students’ engagement during the COVID-19 pandemic: A case study of Singapore mathematics teachers. The Asia-Pacific Education Researcher, 30(3), 299–310. https://doi.org/10.1007/s40299-021-00572-y

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. (2012). Examining the intention to use technology among pre-service teachers: An integration of the Technology Acceptance Model and Theory of Planned Behavior. Interactive Learning Environments, 20(1), 3–18. https://doi.org/10.1080/10494821003714632

Teo, T. (2019). Students and teachers’ intention to use technology: Assessing their measurement equivalence and structural invariance. Journal of Educational Computing Research, 57(1), 201–225. https://doi.org/10.1177/0735633117749430

Teo, T., Sang, G., Mei, B., & Hoi, C. K. W. (2019). Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: A Chinese perspective. Interactive Learning Environments, 27(4), 530–546. https://doi.org/10.1080/10494820.2018.1489290

Thompson, A. D., & Mishra, P. (2007). Editors’ remarks: Breaking news: TPCK becomes TPACK! Journal of Computing in Teacher Education, 24(2), 38–64.

Tsankov, N., & Damyanov, I. (2019). The digital competence of future teachers: Self-assessment in the context of their development. International Journal of Interactive Mobile Technologies, 13(12), 4–18. https://doi.org/10.3991/ijim.v13i12.11068

UNESCO. (2022). Global education coalition. UNESCO. Retrieved May 31, 2022 from https://en.unesco.org/covid19/educationresponse/globalcoalition

van der Spoel, I., Noroozi, O., Schuurink, E., & van Ginkel, S. (2020). Teachers’ online teaching expectations and experiences during the Covid19-pandemic in the Netherlands. European Journal of Teacher Education, 43(4), 623–638. https://doi.org/10.1080/02619768.2020.1821185

Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872

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. https://doi.org/10.2307/30036540

Voogt, J., Fisser, P., Pareja Roblin, N., Tondeur, J., & van Braak, J. (2013). Technological pedagogical content knowledge—a review of the literature. Journal of Computer Assisted Learning, 29(2), 109–121. https://doi.org/10.1111/j.1365-2729.2012.00487.x

Wang, W., Schmidt-Crawford, D., & Jin, Y. (2018). Preservice teachers’ TPACK development: A review of literature. Journal of Digital Learning in Teacher Education, 34(4), 234–258. https://doi.org/10.1080/21532974.2018.1498039

Wong, G. K. W. (2016). The behavioral intentions of Hong Kong primary teachers in adopting educational technology. Educational Technology Research and Development, 64(2), 313–338. https://doi.org/10.1007/s11423-016-9426-9

Yeh, Y.-F., Chan, K. K. H., & Hsu, Y.-S. (2021). Toward a framework that connects individual TPACK and collective TPACK: A systematic review of TPACK studies investigating teacher collaborative discourse in the learning by design process. Computers and Education, 171, 104238. https://doi.org/10.1016/j.compedu.2021.104238

Zimmermann, F., Melle, I., & Huwer, J. (2021). Developing prospective chemistry teachers’ TPACK – A comparison between students of two different universities and expertise levels regarding their TPACK self-efficacy, attitude, and lesson planning competence. Journal of Chemical Education, 98, 1863–1874. https://doi.org/10.1021/acs.jchemed.0c01296