Journals / Participatory Educational Research / 2022 / Cilt: 9 - Sayı: 2

The role of technological pedagogical content knowledge and social cognitive variables in teachers’ technology integration behaviors

Pages
398–415
Publication Date
2022-03-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequently, the study results are expected to contribute to a better understanding of teachers' behaviors and beliefs toward technology integration in education.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Technological Pedagogical Content Knowledge (TPACK) framework provides a theoretical perspective of showing whether a teacher can effectively design and conduct technology-enhanced instruction.
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Key Findings & Data:In addition, social cognitive variables like self-efficacy, outcome expectations, interest and intentions play a vital role in whether teachers choose to integrate technology into their instructional practices.
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Conclusion & Impact:Consequently, the study results are expected to contribute to a better understanding of teachers' behaviors and beliefs toward technology integration in education.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Technological pedagogical content knowledge · social cognitive variables · teachers’ technology integration behaviors

Abstract

The Technological Pedagogical Content Knowledge (TPACK) framework provides a theoretical perspective of showing whether a teacher can effectively design and conduct technology-enhanced instruction. In addition, social cognitive variables like self-efficacy, outcome expectations, interest and intentions play a vital role in whether teachers choose to integrate technology into their instructional practices. Therefore, this study aimed to investigate the relationships between TPACK dimensions and these social cognitive variables to understand teachers’ behaviors in technology integration. For this purpose, a hypothetical model was designed and tested through structural equation modeling to investigate the relationships among these variables. The research sample consisted of 850 teachers from Turkey. The study findings demonstrate that especially teachers' technological knowledge (TK), technological content knowledge (TCK), technological pedagogical knowledge (TPK), and TPACK-core (different interactions of CK and PK with TK) together with their self-efficacy, outcome expectations, and interest have impacts on their intentions to use educational technologies. In this context, teachers with a high level of technological pedagogical content knowledge are more interested in educational technologies, their expectations regarding the outcomes of using instructional technologies increase and they develop behavioral intentions of using educational technologies; as a result, they see/evaluate themselves as more qualified in technology integration. Consequently, the study results are expected to contribute to a better understanding of teachers' behaviors and beliefs toward technology integration in education.

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Cite This Article

DİKMEN, C. H., DEMİRER, V. (2022). The role of technological pedagogical content knowledge and social cognitive variables in teachers’ technology integration behaviors. Participatory Educational Research, Cilt: 9 - Sayı: 2, 398–415. https://ajindex.com/articles/720613

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References (10)

  1. 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. http://dx.doi.org/10.1080/21532974.2011.10784670
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  3. Albion, P. R. (2001). Some factors in the development of self-efficacy beliefs for computer use among teacher education students. Journal of Technology and Teacher Education, 9(3), 321–347.
  4. Anderson, S. E., Groulx, J. G., & Maninger, R. M. (2011). Relationships among preservice teachers' technology-related abilities, beliefs, and intentions to use technology in their future classrooms. Journal of Educational Computing Research, 45(3), 321-338. https://doi.org/10.2190/EC.45.3.d
  5. Anderson, S. E., & Maninger, R. M. (2007). Preservice teachers' abilities, beliefs, and intentions regarding technology integration. Journal of Educational Computing Research, 37(2), 151-172.
  6. Antoine, M. V. (2011). Sources of computer self-efficacy: the relationshıp to outcome expectations, computer anxiety, and intention to use computers. Unpublished doctoral thesis, Faculty of the Graduate School Southern University and Agricultural and Mechanical College. Baker-Eveleth, L. & Stone, R.W. (2008). Expectancy theory and behavioral intentions to use computer applications. Interdisciplinary Journal of Information, Knowledge, and Management, 3, 135-146.
  7. Banas, J. R., & York, C. S. (2014). Authentic learning exercises as a means to influence preservice teachers’ technology integration self-efficacy and intentions to integrate technology. Australasian Journal of Educational Technology, 30(6). Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. New Jersey: Prentice-Hall. Baran, E., Chuang, H. H., & Thompson, A. (2011). Tpack: An emerging research and development tool for teacher educators. Turkish Online Journal of Educational Technology, 10 (4), 370-377.
  8. Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117.
  9. Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15, 1-40. https://doi.org/10.1023/A:1021302408382
  10. Carr, A. A., Jonasse