Published
April 25, 2026
| Pages: 391-406 | Views: 94
References
- Abu Bakar, K., Maat, S. M., & Rosli, R. (2018). Self-efficacy and its influence on the integration of technology in teaching mathematics. Journal of Educational Technology, 12(2), 45-60.
- Bakar, N. S. A., Maat, S. M., & Rosli, R. (2018). A Systematic Review of Teacher’s Self-efficacy and Technology Integration. International Journal of Academic Research in Business and Social Sciences, 8(8), 540–557.
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
- Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71–81). Academic Press.
- Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.
- Birisci, S. and Kul, E. (2019). Predictors of pre-service teachers' technology integration self-efficacy beliefs. Contemporary Educational Technology, 10(1), 75-93.
- Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.
- Chand, V. S., Deshmukh, K. S., & Shukla, A. (2020). Why technology integration fails? Teacher beliefs and content developer assumptions in an Indian initiative. Educational Technology Research and Development, 68(5), 2753–2774
- Clark-Wilson, A., Robutti, O., & Sinclair, N. (2020). Mathematics education in the digital age. Springer.
- Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson Education.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Erdener, M., & Kandemir, M. A. (2019). The effect of teachers' technology integration approaches on students' attitudes. International Journal of Mathematics Education, 11(3), 78-92.
- Ertmer, P. A. (1999). Addressing first- and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4), 47–61. https://doi.org/10.1007/BF02299597
- 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
- Gumiero, B. S., & Pazuch, V. (2024). Digital technologies and mathematics teaching: An analysis of teacher professional knowledge. Pedagogical Research, 9(2), em0200.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
- Ibrahim, F., Hassan, R. and Nordin, Z. (2025). Facilitating teacher technology integration in mathematics classrooms: Challenges and opportunities. Journal of Digital Learning in Teacher Education, 19(4), 112-124.
- Ibrahim, F., Münscher, J., Daseking, M., & Telle, N. (2025). The technology acceptance model and adopter type analysis in the context of artificial intelligence. Frontiers in Artificial Intelligence, 7, 1496518. https://doi.org/10.3389/frai.2024.1496518
- Joo, Y. J., Park, S., & Lim, E. (2018). Factors affecting pre-service teachers' intention to use technology: TPACK, teacher self-efficacy, and Technology Acceptance Model. Educational Technology and Society, 21(3), 48-59
- Karasar, N. (2012). Bilimsel araştırma yöntemi (24. baskı). Ankara: Nobel Yayıncılık.
- Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: The Guilford Press.
- Liu, M., Ng, O.-L., Dai, Y., & Chai, C.-S. (2024). Prospective mathematics teachers’ hiccups and professional noticing during technology-rich teaching and learning. Canadian Journal of Science, Mathematics and Technology Education, 24, 211–228.
- Liu, X., Zhang, Y., & McIlroy, R. (2024). Teacher education and technology integration: Challenges and opportunities. Educational Technology Journal, 15(2), 45-60.
- MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149.
- Mayer, R. E. (2003). The promise of multimedia learning: Using the same instructional design methods across environments. Learning and Teaching, 13(2), 125-139.
- McGarr, O. (2024). Exploring and reflecting on the influences that shape teacher professional digital competence frameworks. Teachers and Teaching, 30(4), 509–525.
- Nathan, M. (2009a). Confidence and competence: Self-efficacy in technology integration. Journal of Technology in Education, 14(3), 120-134.
- Nathan, M. J. (2009b). Preservice teachers’ beliefs and knowledge of technology integration. Journal of Educational Computing Research, 42(3), 255–284.
- Oksuz, C., Ak, S., & Uca, S. (2009). Perceptions of elementary mathematics teachers toward technology. Education and Science, 34(153), 45-56.
- Pajares, M. F. (1997a). Current Directions in self-efficacy research. In M. L. Maehr & P. R. Pintrich (Eds.), Advances in Motivation and Achievement, 10, 1-49. Greenwich, CT: JAI Press.
- Pajares, M. F. (1997b). Teachers’ beliefs and educational research: Cleaning up a messy construct. Review of Educational Research, 62(3), 307–332. https://doi.org/10.3102/00346543062003307
- Paraskeva, F., Bouta, H., & Papagianna, A. (2008). Computer self-efficacy and technology integration: A study of Greek teachers. Educational Technology Research and Development, 56(3), 321–339.
- Pintrich, P. R. & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications (2nd ed.). Merrill Prentice Hall.
- Sang, G., et al. (2010). Exploring the factors influencing pre-service teachers’ intention to use ICT.
- Sang, G., Valcke, M., van Braak, J., & Tondeur, J. (2010). Student teachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54(1), 103–112. https://doi.org/10.1016/j.compedu.2009.07.010
- Saumure, K.; Given, L.M. (2008). Convenience sample. In The SAGE Encyclopedia of Qualitative Research Methods; SAGE: Newcastle upon Tyne, 2, 124–125.
- Sokal, L., Smith, D., & Mowat, H. (2003). Effective teaching: Assessing and developing teacher self-efficacy. Educational Psychology Review, 15(1), 20-39.
- Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research say about the impact of technology on learning: A second-order meta-analysis and validation study. Educational Research Review, 81(1), 4-28.
- Teo, T. (2009). Modeling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52(2), 302-312.
- Thomson, M. M., DiFrancesca, D., Carrier, S., & Lee, C. (2017). Teaching effectiveness: Exploring the relationships among mathematics and science self-efficacy beliefs, PCK, and content knowledge among preservice teachers in the United States. Teacher Development, 21(1), 1-20.
- Tobin, K., Tippins, D. J., & Gallard, A. J. (1994). Research on instructional strategies for teaching science. In D. L. Gabel (Ed.), Handbook of research on science teaching and learning (pp. 45-93). New York: Macmillan.
- 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. Educational Technology Research and Development, 65(3), 555-575.
- Tschannen-Moran, M., & Woolfolk Hoy, A. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783-805.
- Ursavaş, Ö. F., Şahin, S., & McIlroy, D. (2014). Öğretmenler için Teknoloji Kabul Ölçeği (Ö-TKÖ). Eğitimde Kuram ve Uygulama, 10(4), 885-917.
- Venkatesh, V. & Davis, F. D. (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46(2):186-204. http://dx.doi.org/10.1287/mnsc.46.2.186.11926
- Wang, L., Ertmer, P. A., & Newby, T. J. (2004). Increasing preservice teachers’ self-efficacy beliefs for technology integration. Journal of Research on Technology in Education, 36 (3), 231-250.
- Weigand, H. G., Trgalova, J., & Tabach, M. (2024). Mathematics teaching, learning, and assessment in the digital age. ZDM Mathematics Education, 56, 525–541.
Keywords
Technology Acceptance Model, Self-Efficacy, Technology Integration, SEM, mathematics teachers
Affiliations
Ahsen Filiz
Biruni University
Hülya Gür
International Sarejova University
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