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

Year 2022, Volume: 9 Issue: 2, 398 - 415, 01.03.2022
https://doi.org/10.17275/per.22.46.9.2

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.

Supporting Institution

Süleyman Demirel Üniversitesi, BAP

Project Number

4347-YL1-15

Thanks

This study is based on the first author’s master's thesis and it was conducted under project number 4347-YL1-15 at the Scientific Research Projects Coordination Unit, Süleyman Demirel University in Turkey.

References

  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117.
  • 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
  • Carr, A. A., Jonassen, D. H., Litzinger, M. E., & Marra, R. M. (1998). Good ideas to foment educational revolution: The role of systematic change in advancing situated learning, constructivism, and feminist pedagogy. Educational Technology, 38(1), 5-14.
  • Chang, S.-C., & Tung, F. C. (2008). An empirical investigation of students’ behavioral intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83. https://doi.org/10.1111/j.1467-8535.2007.00742.x
  • Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. Doi:10.2307/249688.
  • Demir, S., & Bozkurt, A. (2011). Primary mathematics teachers’ views about their competencies concerning the integration of technology. Elementary Education Online, 10(3), 850-860.
  • Fanni, F. (2014). Confidence in technology use: the development and validation of a technological, pedagogical, and content self-efficacy scale for teachers. Doctoral dissertation, Università della Svizzera italiana.
  • Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of Counseling Psychology, 43(3), 338-346. http://dx.doi.org/10.1037/0022-0167.43.3.338
  • George, D., & Mallery, P. (2003). SPSS for windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon.
  • 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
  • Jayaram, J., Kannan, V. R., & Tan, K. C. (2004). Influence of initiators on supply chain value creation. International Journal of Production Research, 42(20), 4377-4399. http://dx.doi.org/10.1080/00207540410001716516
  • Karatas, F. I. (2014). An examination of in-service secondary mathematics teachers’ technological pedagogical content knowledge and their technology integratıon self-efficacy. Master dissertation, Boğaziçi University.
  • Karatas, I., Tunc, M. P., Yilmaz, N., & Karaci, G. (2017). An investigation of technological pedagogical content knowledge, self-confidence, and perception of pre-service middle school mathematics teachers towards instructional technologies. Educational Technology & Society, 20(3), 122–132.
  • Kereluik, K., Mishra, P., & Koehler, M. J. (2011). On learning to subvert signs: literacy, technology and the TPACK framework. The California Reader, 44(2), 12-18.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.
  • Koehler, M. J., & Mishra, P. (2005). What happens when teachers design educational technology? The development of technological pedagogical content knowledge. J. Educational Computing Research, 32(2), 131-152. https://doi.org/10.2190/0EW7-01WB-BKHL-QDYV
  • 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 Handbook of research on educational communications and technology (pp. 101-111). Springer New York. https://doi.org/10.1007/978-1-4614-3185-5_9
  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of vocational behavior, 45(1), 79-122. https://doi.org/10.1006/jvbe.1994.1027
  • Lent, R. W., Brown, S. D., & Hackett, G. (2002). Social cognitive career theory. In D. Brown (Ed.), Career choice and development (pp. 255-311). San Francisco, CA: Jossey-Bass.
  • Lent, R. W., Ireland, G. W., Penn, L. T., Morris, T. R., & Sappington, R. (2017). Sources of self-efficacy and outcome expectations for career exploration and decision-making: A test of the social cognitive model of career self-management. Journal of Vocational Behavior, 99, 107-117. https://doi.org/10.1016/j.jvb.2017.01.002
  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
  • Morales, G., Knezek, G., & Christensen, R. (2011). Self-efficacy ratings of technology proficiency among teachers in Mexico and Texas. Computers in Schools, 25(1-2), 126-144.
  • Nathan, E. J. (2009). An examination of the relationship between preservice teachers’ level of technology integration self-efficacy (TIS) and level of technological pedagogical content knowledge (TPACK). Doctoral dissertation, University of Houston.
  • Niederhauser, D. S., & Perkmen, S. (2008). Validation of the intrapersonal technology integration scale: Assessing the influence of intrapersonal factors that influence technology integration. Computers in the Schools, 25(1-2), 98-111. http://dx.doi.org/10.1080/07380560802157956
  • Niess, M. L. (2011). Investigating TPACK: knowledge growth in teaching with technology. Journal of Educational Computing Research, 44, 299–317. https://doi.org/10.2190/EC.44.3.c
  • Ozgen, K., Narli, S., & Alkan, H. (2013). An investigation of mathematics teacher trainees’ technological pedagogical content knowledge and their perception of the frequency of technology use. Electronic Journal of Social Sciences, 12(44), 31-51.
  • Ozturk, E. (2013). Sınıf öğretmeni adaylarının teknolojik pedagojik alan bilgilerinin bazı değişkenler açısından değerlendirilmesi [Prospective classroom teachers’ technological pedagogical content knowledge assessment in terms of some variables]. Uşak Üniversitesi Sosyal Bilimler Dergisi, 6(2), 223-228.
  • Pauli, K.P., Gilson, R.L., & May, D.R. (2007). The mediating effect of computer self-efficacy on computer anxiety and intention to use computers. Review of Business Information Systems Journal, 11 (1), 57 – 64.
  • Paraskeva, F., Bouta, H., & Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50, 1084-1091. https://doi.org/10.1016/j.compedu.2006.10.006
  • Perkmen, S., Niederhauser, D. S., & Charania, A. (2006). Factors that influence preservice teachers’ career goals in instructional technology. Annual meeting of American Educational Research Association (AERA).
  • Sahin, I. (2008). From the social-cognitive career theory perspective: A college of education faculty model for explaining their intention to use educational technology. Journal of Educational Computing Research, 38(1), 51-66. https://doi.org/10.2190/EC.38.1.c
  • Sahin, I. (2011). Development of survey of technological pedagogical and content knowledge (tpack). TOJET: The Turkish Online Journal of Educational Technology, 10(1), 97-105.
  • Saudelli, M. G., & Ciampa, K. (2016). Exploring the role of TPACK and teacher self-efficacy: An ethnographic case study of three iPad language arts classes. Technology, Pedagogy and Education, 25(2), 227-247.
  • Semiz, K., & Ince, M. L. (2012). Pre-service physical education teachers' technological pedagogical content knowledge, technology integration self-efficacy and instructional technology outcome expectations. Australasian Journal of Educational Technology, 28(7), 1248-1265. https://doi.org/10.14742/ajet.800
  • Shealy, T., Valdes-Vasquez, R., Klotz, L., Potvin, G., Godwin, A., Cribbs, J., & Hazari, Z. (2015). Career outcome expectations related to sustainability among students intending to major in civil engineering. Journal of Professional Issues in Engineering Education and Practice, 142(1), 04015008. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000253
  • Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(4), 4-14.
  • Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1-22. https://doi.org/10.17763/haer.57.1.j463w79r56455411
  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press.
  • Skaalvik, E. M., & Skaalvik, S. (2017). Motivated for teaching? Associations with school goal structure, teacher self-efficacy, job satisfaction and emotional exhaustion. Teaching and Teacher Education, 67, 152-160. https://doi.org/10.1016/j.tate.2017.06.006
  • Smith, S. M. (2002). Using the social cognitive model to explain vocational interest in information technology. Information Technology, Learning, and Performance Journal, 20(1), 1-9.
  • Sobel, K., & Grotti, M. G. (2013). Using the TPACK framework to facilitate decision making on instructional technologies. Journal of Electronic Resources Librarianship, 25(4), 255-262.
  • Spazak, L. (2013). Secondary preservice teachers’ perception of preparedness to integrate technology. Doctoral dissertation, Indiana University of Pennsylvania.
  • Stewart, J. (2012). Intrapersonal factors affecting technological pedagogical content knowledge in Oklahoma agricultural education teachers. Master dissertation, Oklahoma State University.
  • Stewart, J., Antonenko, P. D., Robinson, J. S., & Mwavita, M. (2013). Intrapersonal factors affecting technological pedagogical content knowledge of agricultural education teachers. Journal of Agricultural Education, 54(3), 157-170.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.) Boston: Allyn and Bacon.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312. https://doi.org/10.1016/j.compedu.2008.08.006
  • Tokmak, H. S. (2013). Changing preschool teacher candidates’ perceptions about technology integration in a TPACK-based material design course. Education as Change, 17(1), 115-129. http://dx.doi.org/10.1080/16823206.2013.773927
  • Wang, L., Ertmer, P. A., & Newby, T. J. (2004). Increasing preservice teachers’ selfefficacy beliefs for technology integration. Journal of Research on Technology in Education, 36(3), 231-249. http://dx.doi.org/10.1080/15391523.2004.10782414
  • Watson, G. (2006). Technology professional development: Long-term effects on teacher self-efficacy. Journal of Technology and Teacher Education, 14(1), 151-165.
  • Wetzel, K., Foulger, T. S., & Williams, M.K. (2008). The evolution of the required educational technology course. Journal of Computing in Teacher Education, 25(2), 67-71.
Year 2022, Volume: 9 Issue: 2, 398 - 415, 01.03.2022
https://doi.org/10.17275/per.22.46.9.2

Abstract

Project Number

4347-YL1-15

References

  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117.
  • 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
  • Carr, A. A., Jonassen, D. H., Litzinger, M. E., & Marra, R. M. (1998). Good ideas to foment educational revolution: The role of systematic change in advancing situated learning, constructivism, and feminist pedagogy. Educational Technology, 38(1), 5-14.
  • Chang, S.-C., & Tung, F. C. (2008). An empirical investigation of students’ behavioral intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83. https://doi.org/10.1111/j.1467-8535.2007.00742.x
  • Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. Doi:10.2307/249688.
  • Demir, S., & Bozkurt, A. (2011). Primary mathematics teachers’ views about their competencies concerning the integration of technology. Elementary Education Online, 10(3), 850-860.
  • Fanni, F. (2014). Confidence in technology use: the development and validation of a technological, pedagogical, and content self-efficacy scale for teachers. Doctoral dissertation, Università della Svizzera italiana.
  • Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of Counseling Psychology, 43(3), 338-346. http://dx.doi.org/10.1037/0022-0167.43.3.338
  • George, D., & Mallery, P. (2003). SPSS for windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon.
  • 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
  • Jayaram, J., Kannan, V. R., & Tan, K. C. (2004). Influence of initiators on supply chain value creation. International Journal of Production Research, 42(20), 4377-4399. http://dx.doi.org/10.1080/00207540410001716516
  • Karatas, F. I. (2014). An examination of in-service secondary mathematics teachers’ technological pedagogical content knowledge and their technology integratıon self-efficacy. Master dissertation, Boğaziçi University.
  • Karatas, I., Tunc, M. P., Yilmaz, N., & Karaci, G. (2017). An investigation of technological pedagogical content knowledge, self-confidence, and perception of pre-service middle school mathematics teachers towards instructional technologies. Educational Technology & Society, 20(3), 122–132.
  • Kereluik, K., Mishra, P., & Koehler, M. J. (2011). On learning to subvert signs: literacy, technology and the TPACK framework. The California Reader, 44(2), 12-18.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.
  • Koehler, M. J., & Mishra, P. (2005). What happens when teachers design educational technology? The development of technological pedagogical content knowledge. J. Educational Computing Research, 32(2), 131-152. https://doi.org/10.2190/0EW7-01WB-BKHL-QDYV
  • 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 Handbook of research on educational communications and technology (pp. 101-111). Springer New York. https://doi.org/10.1007/978-1-4614-3185-5_9
  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of vocational behavior, 45(1), 79-122. https://doi.org/10.1006/jvbe.1994.1027
  • Lent, R. W., Brown, S. D., & Hackett, G. (2002). Social cognitive career theory. In D. Brown (Ed.), Career choice and development (pp. 255-311). San Francisco, CA: Jossey-Bass.
  • Lent, R. W., Ireland, G. W., Penn, L. T., Morris, T. R., & Sappington, R. (2017). Sources of self-efficacy and outcome expectations for career exploration and decision-making: A test of the social cognitive model of career self-management. Journal of Vocational Behavior, 99, 107-117. https://doi.org/10.1016/j.jvb.2017.01.002
  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
  • Morales, G., Knezek, G., & Christensen, R. (2011). Self-efficacy ratings of technology proficiency among teachers in Mexico and Texas. Computers in Schools, 25(1-2), 126-144.
  • Nathan, E. J. (2009). An examination of the relationship between preservice teachers’ level of technology integration self-efficacy (TIS) and level of technological pedagogical content knowledge (TPACK). Doctoral dissertation, University of Houston.
  • Niederhauser, D. S., & Perkmen, S. (2008). Validation of the intrapersonal technology integration scale: Assessing the influence of intrapersonal factors that influence technology integration. Computers in the Schools, 25(1-2), 98-111. http://dx.doi.org/10.1080/07380560802157956
  • Niess, M. L. (2011). Investigating TPACK: knowledge growth in teaching with technology. Journal of Educational Computing Research, 44, 299–317. https://doi.org/10.2190/EC.44.3.c
  • Ozgen, K., Narli, S., & Alkan, H. (2013). An investigation of mathematics teacher trainees’ technological pedagogical content knowledge and their perception of the frequency of technology use. Electronic Journal of Social Sciences, 12(44), 31-51.
  • Ozturk, E. (2013). Sınıf öğretmeni adaylarının teknolojik pedagojik alan bilgilerinin bazı değişkenler açısından değerlendirilmesi [Prospective classroom teachers’ technological pedagogical content knowledge assessment in terms of some variables]. Uşak Üniversitesi Sosyal Bilimler Dergisi, 6(2), 223-228.
  • Pauli, K.P., Gilson, R.L., & May, D.R. (2007). The mediating effect of computer self-efficacy on computer anxiety and intention to use computers. Review of Business Information Systems Journal, 11 (1), 57 – 64.
  • Paraskeva, F., Bouta, H., & Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50, 1084-1091. https://doi.org/10.1016/j.compedu.2006.10.006
  • Perkmen, S., Niederhauser, D. S., & Charania, A. (2006). Factors that influence preservice teachers’ career goals in instructional technology. Annual meeting of American Educational Research Association (AERA).
  • Sahin, I. (2008). From the social-cognitive career theory perspective: A college of education faculty model for explaining their intention to use educational technology. Journal of Educational Computing Research, 38(1), 51-66. https://doi.org/10.2190/EC.38.1.c
  • Sahin, I. (2011). Development of survey of technological pedagogical and content knowledge (tpack). TOJET: The Turkish Online Journal of Educational Technology, 10(1), 97-105.
  • Saudelli, M. G., & Ciampa, K. (2016). Exploring the role of TPACK and teacher self-efficacy: An ethnographic case study of three iPad language arts classes. Technology, Pedagogy and Education, 25(2), 227-247.
  • Semiz, K., & Ince, M. L. (2012). Pre-service physical education teachers' technological pedagogical content knowledge, technology integration self-efficacy and instructional technology outcome expectations. Australasian Journal of Educational Technology, 28(7), 1248-1265. https://doi.org/10.14742/ajet.800
  • Shealy, T., Valdes-Vasquez, R., Klotz, L., Potvin, G., Godwin, A., Cribbs, J., & Hazari, Z. (2015). Career outcome expectations related to sustainability among students intending to major in civil engineering. Journal of Professional Issues in Engineering Education and Practice, 142(1), 04015008. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000253
  • Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(4), 4-14.
  • Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1-22. https://doi.org/10.17763/haer.57.1.j463w79r56455411
  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press.
  • Skaalvik, E. M., & Skaalvik, S. (2017). Motivated for teaching? Associations with school goal structure, teacher self-efficacy, job satisfaction and emotional exhaustion. Teaching and Teacher Education, 67, 152-160. https://doi.org/10.1016/j.tate.2017.06.006
  • Smith, S. M. (2002). Using the social cognitive model to explain vocational interest in information technology. Information Technology, Learning, and Performance Journal, 20(1), 1-9.
  • Sobel, K., & Grotti, M. G. (2013). Using the TPACK framework to facilitate decision making on instructional technologies. Journal of Electronic Resources Librarianship, 25(4), 255-262.
  • Spazak, L. (2013). Secondary preservice teachers’ perception of preparedness to integrate technology. Doctoral dissertation, Indiana University of Pennsylvania.
  • Stewart, J. (2012). Intrapersonal factors affecting technological pedagogical content knowledge in Oklahoma agricultural education teachers. Master dissertation, Oklahoma State University.
  • Stewart, J., Antonenko, P. D., Robinson, J. S., & Mwavita, M. (2013). Intrapersonal factors affecting technological pedagogical content knowledge of agricultural education teachers. Journal of Agricultural Education, 54(3), 157-170.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.) Boston: Allyn and Bacon.
  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312. https://doi.org/10.1016/j.compedu.2008.08.006
  • Tokmak, H. S. (2013). Changing preschool teacher candidates’ perceptions about technology integration in a TPACK-based material design course. Education as Change, 17(1), 115-129. http://dx.doi.org/10.1080/16823206.2013.773927
  • Wang, L., Ertmer, P. A., & Newby, T. J. (2004). Increasing preservice teachers’ selfefficacy beliefs for technology integration. Journal of Research on Technology in Education, 36(3), 231-249. http://dx.doi.org/10.1080/15391523.2004.10782414
  • Watson, G. (2006). Technology professional development: Long-term effects on teacher self-efficacy. Journal of Technology and Teacher Education, 14(1), 151-165.
  • Wetzel, K., Foulger, T. S., & Williams, M.K. (2008). The evolution of the required educational technology course. Journal of Computing in Teacher Education, 25(2), 67-71.
There are 61 citations in total.

Details

Primary Language English
Subjects Other Fields of Education
Journal Section Research Articles
Authors

Cemal Hakan Dikmen 0000-0002-3708-9091

Veysel Demirer 0000-0002-3264-9424

Project Number 4347-YL1-15
Publication Date March 1, 2022
Acceptance Date September 29, 2021
Published in Issue Year 2022 Volume: 9 Issue: 2

Cite

APA Dikmen, C. H., & Demirer, V. (2022). The role of technological pedagogical content knowledge and social cognitive variables in teachers’ technology integration behaviors. Participatory Educational Research, 9(2), 398-415. https://doi.org/10.17275/per.22.46.9.2