International Electronic Journal of Mathematics Education

• Aguilar, J. J., & Kang, S. (2023). Innovating with in-service mathematics teachers’ professional development: The intersection among mixed-reality simulations, approximation-of-practice, and technology-acceptance. International Electronic Journal of Mathematics Education, 18(4), Article em0750. https://doi.org/10.29333/iejme/13628
• Akyuz, D. (2023). Exploring contextual factors for pre-service teachers teaching with technology through planning, teaching, and reflecting. International Electronic Journal of Mathematics Education, 18(1), Article em0721. https://doi.org/10.29333/iejme/12624
• Aldunate, R., & Nussbaum, M. (2013). Teacher adoption of technology. Computers in Human Behavior, 29(3), 519-524. https://doi.org/10.1016/j.chb.2012.10.017
• Alneyadi, S., Wardat, Y., Alshannag, Q., & Abu-Al-Aish, A. (2023). The effect of using smart e-learning app on the academic achievement of eighth-grade students. Eurasia Journal of Mathematics, Science and Technology Education, 19(4), Article em2248. https://doi.org/10.29333/ejmste/13067
• Blannin, J. (2022). Beginning teaching with digital technology. SAGE.
• Boone, H., & Boone, D. (2012). Analyzing Likert data. Journal of Extension, 50(2). https://doi.org/10.34068/joe.50.02.48
• Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. https://doi.org/10.4159/9780674028845
• Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
• Byrne, B. M. (2016). Structural equation modeling with Amos basic concepts, applications, and programming (3rd ed.). Routledge. https://doi.org/10.4324/9781315757421
• Çeşme, H., & Çimen, B. (2023). The relationships among TPACK, the TAM and online education satisfaction: Structural equation modelling. Journal for Educators,Teachers and Trainers, 14(5), 281-289. https://doi.org/10.47750/jett.2023.14.05.027
• Chen, B. (2015). Exploring the digital divide: The use of digital technologies in Ontario public schools. Canadian Journal of Learning and Technology, 41(3). https://doi.org/10.21432/T2KP6F
• Clements, D. H., & Sarama, J. (2013). Rethinking early mathematics: What is research-based curriculum for young children? In L. D. English, & J. T. Mulligan (Eds.), Reconceptualizing early mathematics learning (pp. 121-147). Springer. https://doi.org/10.1007/978-94-007-6440-8_7
• Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge. https://doi.org/10.4324/9781315456539
• Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE.
• Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
• da Silva Bueno, R. W., & Niess, M. L. (2023). Redesigning mathematics preservice teachers’ preparation for teaching with technology: A qualitative cross-case analysis using TPACK lenses. Computers & Education, 205, Article 104895. https://doi.org/10.1016/j.compedu.2023.104895
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user accptance 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
• DeCoito, I., & Estaiteyeh, M. (2022). Transitioning to online teaching during the COVID-19 pandemic: An exploration of STEM teachers’ views, successes, and challenges. Journal of Science Education and Technology, 31(3), 340-356. https://doi.org/10.1007/s10956-022-09958-z
• DeVellis, R. F. (2017). Scale development theory and applications (4th ed.). SAGE.
• Dogan, M. (2012). Prospective Turkish primary teachers’ views about the use of computers in mathematics education. Journal of Mathematics Teacher Education, 15(4), 329-341. https://doi.org/10.1007/s10857-012-9214-3
• Drijvers, P., Tabach, M., & Vale, C. (2018). Uses of technology in K-12 mathematics education: Concluding remarks. In L. Ball, P. Drijvers, S. Ladel, H.-S. Siller, M. Tabach, & C. Vale (Eds.), Uses of technology in primary and secondary mathematics education tools, topics and trends (pp. 421-435). Springer. https://doi.org/10.1007/978-3-319-76575-4
• Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284. https://doi.org/10.1080/15391523.2010.10782551
• 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
• Field, A. (2013). Discovering statistics using IBM SPSS statistics. SAGE.
• Gurer, M. D. (2021). Examining technology acceptance of pre-service mathematics teachers in Turkey: A structural equation modeling approach. Education and Information Technologies, 26(4), 4709-4729. https://doi.org/10.1007/s10639-021-10493-4
• Gurer, M. D., & Akkaya, R. (2022). The influence of pedagogical beliefs on technology acceptance: A structural equation modeling study of pre-service mathematics teachers. Journal of Mathematics Teacher Education, 25(4), 479-495. https://doi.org/10.1007/s10857-021-09504-5
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis (8th ed.). Cengage Learning.
• Hansen, A., Mavrikis, M., & Geraniou, E. (2016). Supporting teachers’ technological pedagogical content knowledge of fractions through co-designing a virtual manipulative. Journal of Mathematics Teacher Education, 19(2-3), 205-226. https://doi.org/10.1007/s10857-016-9344-0
• Ho, R. (2013). Handbook of univariate and multivariate data analysis with IBM SPSS (2nd ed.). CRC Press. https://doi.org/10.1201/b15605
• Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343-367. https://doi.org/10.1080/15391523.2011.10782576
• Ibili, E., Resnyansky, D., & Billinghurst, M. (2019). Applying the technology acceptance model to understand maths teachers’ perceptions towards an augmented reality tutoring system. Education and Information Technologies, 24(5), 2653-2675. https://doi.org/10.1007/s10639-019-09925-z
• Inan, F. A., & Lowther, D. L. (2010). Laptops in the K-12 classrooms: Exploring factors impacting instructional use. Computers & Education, 55(3), 937-944. https://doi.org/10.1016/j.compedu.2010.04.004
• Jang, S. J., & Tsai, M. F. (2012). Exploring the TPACK of Taiwanese elementary mathematics and science teachers with respect to use of interactive whiteboards. Computers & Education, 59(2), 327-338. https://doi.org/10.1016/j.compedu.2012.02.003
• Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26. https://doi.org/10.3102/0013189X033007014
• Khong, H., Celik, I., Le, T. T. T., Lai, V. T. T., Nguyen, A., & Bui, H. (2023). Examining teachers’ behavioural intention for online teaching after COVID-19 pandemic: A large-scale survey. Education and Information Technologies, 28(5), 5999-6026. https://doi.org/10.1007/s10639-022-11417-6
• Knezek, G., & Christensen, R. (2016). Extending the will, skill, tool model of technology integration: Adding pedagogy as a new model construct. Journal of Computing in Higher Education, 28(3), 307-325. https://doi.org/10.1007/s12528-016-9120-2
• Koh, J. H. L., Chai, C. S., & Tsai, C. C. (2010). Examining the technological pedagogical content knowledge of Singapore pre-service teachers with a large-scale survey. Journal of Computer Assisted Learning, 26(6), 563-573. https://doi.org/10.1111/j.1365-2729.2010.00372.x
• Koh, J. H. L., Chai, C. S., & Tsai, C. C. (2014). Demographic factors, TPACK constructs, and teachers’ perceptions of constructivist-oriented TPACK. Educational Technology & Society, 17(1), 185-196. https://www.jstor.org/stable/jeductechsoci.17.1.185
• Lawless, K. A., & Pellegrino, J. W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns, and ways to pursue better questions and answers. Review of Educational Research, 77(4), 575-614. https://doi.org/10.3102/0034654307309921
• 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
• Li, M. (2023). Chinese mathematics teachers’ TPACK and attitudes toward ICT integration in the post-pandemic era. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), Article em2301. https://doi.org/10.29333/ejmste/13346
• Li, M., & Li, B. (2024). Unravelling the dynamics of technology integration in mathematics education: A structural equation modelling analysis of TPACK components. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12805-w
• Li, M., Vale, C., Tan, H., & Blannin, J. (2024a). A systematic review of TPACK research in primary mathematics education. Mathematics Education Research Journal. https://doi.org/10.1007/s13394-024-00491-3
• Li, M., Vale, C., Tan, H., & Blannin, J. (2024b). Exploring Technological Pedagogical Readiness (TPR) in China’s primary mathematics teachers: TPR scale validation. Eurasia Journal of Mathematics, Science and Technology Education, 20(7), Article em2469. https://doi.org/10.29333/ejmste/14727
• Long, T., Zhao, G., Li, X., Zhao, R., Xie, K., & Duan, Y. (2020). Exploring Chinese in-service primary teachers’ technological pedagogical content knowledge (TPACK) for the use of thinking tools. Asia Pacific Journal of Education, 42(2), 350-370. https://doi.org/10.1080/02188791.2020.1812514
• Mishra, P. (2019). Considering contextual knowledge: The TPACK diagram gets an upgrade. Journal of Digital Learning in Teacher Education, 35(2), 76-78. https://doi.org/10.1080/21532974.2019.1588611
• Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://journals.sagepub.com/doi/abs/10.1111/j.1467-9620.2006.00684.x
• Mishra, P., Warr, M., & Islam, R. (2023). TPACK in the age of ChatGPT and generative AI. Journal of Digital Learning in Teacher Education, 39(4), 235-251. https://doi.org/10.1080/21532974.2023.2247480
• Niess, M. L. (2011). Investigating TPACK: Knowledge growth in teaching with technology. Journal of Educational Computing Research, 44(3), 299-317. https://doi.org/10.2190/EC.44.3.c
• Niess, M. L. (2016). Technological pedagogical content knowledge (TPACK) framework for K-12 teacher preparation: Emerging research and opportunities. IGI Global. https://doi.org/10.4018/978-1-5225-1621-7
• Ottenbreit-Leftwich, A. T., Glazewski, K. D., Newby, T. J., & Ertmer, P. A. (2010). Teacher value beliefs associated with using technology: Addressing professional and student needs. Computers & Education, 55(3), 1321-1335. https://doi.org/10.1016/j.compedu.2010.06.002
• Özgür, H. (2020). Relationships between teachers’ technostress, technological pedagogical content knowledge (TPACK), school support and demographic variables: A structural equation modeling. Computers in Human Behavior, 112. https://doi.org/10.1016/j.chb.2020.106468
• Ozudogru, F., & Ozudogru, M. (2019). Technological pedagogical content knowledge of mathematics teachers and the effect of demographic variables. Contemporary Educational Technology, 10(1), 1-24. https://doi.org/10.30935/cet.512515
• Pappa, C. I., Georgiou, D., & Pittich, D. (2023). Technology education in primary schools: Addressing teachers’ perceptions, perceived barriers, and needs. International Journal of Technology and Design Education, 34(2), 485-503. https://doi.org/10.1007/s10798-023-09828-8
• 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
• Reuge, N., Jenkins, R., Brossard, M., Soobrayan, B., Mizunoya, S., Ackers, J., Jones, L., & Taulo, W. G. (2021). Education response to COVID 19 pandemic, a special issue proposed by UNICEF: Editorial review. International Journal of Educational Development, 87. https://doi.org/10.1016/j.ijedudev.2021.102485
• Saltan, F., Arslan, K., & Wang, S. (2017). A comparison of in-service and pre-service teachers’ technological pedagogical content knowledge self-confidence. Cogent Education, 4(1). https://doi.org/10.1080/2331186x.2017.1311501
• Selwyn, N. (2021). Education and technology: Key issues and debates. Bloomsbury Academic. https://doi.org/10.5040/9781350145573
• Song, Y., Qian, C., & Pickard, S. (2021). Age-Related digital divide during the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 18(21). https://doi.org/10.3390/ijerph182111285
• Teo, T., & Van Schalk, P. (2009). Understanding technology acceptance in pre-service teachers: A structural-equation modeling approach. The Asia-Pacific Education Researcher, 18(1), 47-66. https://doi.org/10.3860/taper.v18i1.1035
• Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128-143. https://doi.org/10.1111/j.1365-2729.2007.00247.x
• Teo, T., Milutinovic, V., Zhou, M. M., & Bankovic, D. (2017). Traditional vs. innovative uses of computers among mathematics pre-service teachers in Serbia. Interactive Learning Environments, 25(7), 811-827. https://doi.org/10.1080/10494820.2016.1189943
• Tondeur, J., van Braak, J., Ertmer, P. A., & Ottenbreit-Leftwich, A. (2017). Understanding the relationship between teachers’ pedagogical beliefs and technology use in education: A systematic review of qualitative evidence. Educational Technology Research and Development, 65(3), 555-577. https://doi.org/10.1007/s11423-016-9481-2
• Torry, T., & Whalen, J. (2020). Should teachers be trained in emergency remote teaching? Lessons learned from the COVID-19 pandemic. Journal of Technology and Teacher Education, 28(2), 189-199. https://www.learntechlib.org/primary/p/215995
• Vale, C. M., & Leder, G. C. (2004). Student views of computer-based mathematics in the middle years: Does gender make a difference? Educational Studies in Mathematics, 56, 287-312. https://doi.org/10.1023/B:EDUC.0000040411.94890.56
• Van Braak, J., Tondeur, J., & Valcke, M. (2004). Explaining different types of computer use among primary school teachers. European Journal of Psychology of Education, 19(4), 407-422. https://doi.org/10.1007/BF03173218
• Van der Spoel, I., Noroozi, O., Schuurink, E., & van Ginkel, S. (2020). Teachers’ online teaching expectations and experiences during the COVID-19 pandemic in the Netherlands. European Journal of Teacher Education, 43(4), 623-638. https://doi.org/10.1080/02619768.2020.1821185
• Wang, Z., Zhang, L., Wang, X., Liu, L., & Lv, C. (2023). Navigating Technostress in primary schools: A study on teacher experiences, school support, and health. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1267767
• Yao, X., & Zhao, J. (2022). Chinese mathematics teachers’ use of digital technologies for instruction: A survey study. Eurasia Journal of Mathematics, Science and Technology Education, 18(8), Article em2135. https://doi.org/10.29333/ejmste/12209

APA

Li, M., Vale, C., Tan, H., & Blannin, J. (2025). Exploring demographic influences on digital technology integration in Chinese primary mathematics education. International Electronic Journal of Mathematics Education, 20(2), em0810. https://doi.org/10.29333/iejme/15814

Vancouver

Li M, Vale C, Tan H, Blannin J. Exploring demographic influences on digital technology integration in Chinese primary mathematics education. INT ELECT J MATH ED. 2025;20(2):em0810. https://doi.org/10.29333/iejme/15814

AMA

Li M, Vale C, Tan H, Blannin J. Exploring demographic influences on digital technology integration in Chinese primary mathematics education. INT ELECT J MATH ED. 2025;20(2), em0810. https://doi.org/10.29333/iejme/15814

Chicago

Li, Mao, Colleen Vale, Hazel Tan, and Jo Blannin. "Exploring demographic influences on digital technology integration in Chinese primary mathematics education". International Electronic Journal of Mathematics Education 2025 20 no. 2 (2025): em0810. https://doi.org/10.29333/iejme/15814

Harvard

Li, M., Vale, C., Tan, H., and Blannin, J. (2025). Exploring demographic influences on digital technology integration in Chinese primary mathematics education. International Electronic Journal of Mathematics Education, 20(2), em0810. https://doi.org/10.29333/iejme/15814

MLA

Li, Mao et al. "Exploring demographic influences on digital technology integration in Chinese primary mathematics education". International Electronic Journal of Mathematics Education, vol. 20, no. 2, 2025, em0810. https://doi.org/10.29333/iejme/15814