Measuring Teacher Attitudes, Competencies, and Pedagogical Practices in Support of Student Learning and Classroom Technology Integration
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In this chapter we feature instruments to measure teacher attitudes, competencies, and pedagogical practices judged to be important for effectively integrating technology into the classroom learning environment. The ability to assess a teacher’s level on these attributes is important because positive attitudes, proficiency, and effective pedagogical strategies are necessary to foster quality student learning. Specific instruments that serve as exemplars for teacher appraisal are introduced. The importance of including more than one type of measure to comprehensively assess teacher needs and prescribe appropriate professional development is discussed.
KeywordsTeacher attitudes Technology competencies Technology integration Attitudinal measures Competency measures Pedagogical practices
- Allen, J. G., Wasicsko, M. M., Chirichello, M. (2014). The missing link: Teaching the dispositions to lead. International Journal of Educational Leadership Preparation, 9(1). March, 2014 ISSN: 2155-9635 © 2014 National Council of Professors of Educational Administration.Google Scholar
- Becker, H.J., & Anderson, R.E. (1998). Validating self-report measures of the ‘constructivism’ of teachers’ beliefs and practices. Paper presented at the 1998 meetings of the American Educational Research Association, San Diego, CA.Google Scholar
- Buabeng-Andoh, C. (2012). Factors influencing teachers’ adoption and integration of information and communication technology into teaching: A review of the literature. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 8(1), 136–155.Google Scholar
- Cattell, R. B. (1973). Personality and mood by questionnaire. San Francisco: Jossey-Bass.Google Scholar
- Center for Research of Pedagogy and Practice. (2005). Authentic pedagogy. Singapore: National Institute of Education.Google Scholar
- Christensen, R., & Knezek, G. (2000). Internal consistency reliabilities for 14 computer attitude scales. Journal of Technology and Teacher Education, 8(4), 327–336.Google Scholar
- Christensen, R., & Knezek, G. (2001b). Profiling teacher stages of adoption for technology integration. Computers in New Zealand Schools, 13(3), 25–29.Google Scholar
- Christensen, R. W., & Knezek, G. A. (2009). Construct validity for the teachers’ attitudes toward computers questionnaire. Journal of Computing in Teacher Education, 25(4), 143–155.Google Scholar
- Cope, C., & Ward, P. (2002). Integrating learning technology into the classrooms: The importance of teacher perceptions. Educational Technology & Society, 5, 67–74.Google Scholar
- Dwyer, D. (1994). Apple classrooms of tomorrow: What we’ve learned. Educational Leadership, 51(7), 4–10.Google Scholar
- Dwyer, D. C., Ringstaff, C., & Sandholtz, J. H. (1989). The evolution of teachers’ instructional beliefs and practices in high-access-to-technology classrooms: First–fourth year findings (ACOT Report #8). Cupertino: Apple Computer.Google Scholar
- Edusurge. (2017). Product review: Kahn Academy. Available: https://www.edsurge.com/product-reviews/khan-academy.
- Hancock, R., Knezek, G., & Christensen, R. (2007). Cross-validating measures of technology integration: A first step toward examining potential relationships between technology integration and student achievement. Journal of Computers in Teacher Education, 24(1), 15–21.Google Scholar
- International Society for Technology in Education (ISTE). (2008). ISTE policy brief – technology and student achievement – the indelible link. Washington, DC: ISTE.Google Scholar
- International Society for Technology in Education (ISTE). (2010). Technology, coaching and community: Power partners for improved professional development in primary and secondary education. Washington, DC: ISTE. Available: https://www.ri-iste.org/Resources/Documents/Coaching_Whitepaper_digital.pdf
- Johnson, D. (2013). Power up! Technology skills every teacher needs. Educational Leadership, 70(6), 84–85.Google Scholar
- Jonassen, D., Howland, J., Moore, J., & Marra, R. (2003). Learning to solve problems with technology: A constructivist perspective (2nd ed.). Upper Saddle River: Merrill Prentice Hall.Google Scholar
- Knezek, G., Christensen, R., Mayes, G., & Morales, C. (2005). A comparison of self-report and observer ratings of educator technology integration proficiency. In C. Crawford et al. (Eds.), Proceedings of society for information technology and teacher education international conference 2005 (pp. 892–897). Chesapeake: AACE.Google Scholar
- Lambert, J., Gong, Y., & Cuper, P. (2008). Technology, transfer and teaching: The impact of a single technology course on preservice teachers’ computer attitudes and ability. Journal of Technology and Teacher Education, 16(4), 385–410.Google Scholar
- Learning.com. (2012). Wayfind teacher assessment.Google Scholar
- Leng, N. W. (2011). Reliability and validity of an information and communications technology attitude scale for teachers. The Asia-Pacific Education Researcher, 20(1), 162–170.Google Scholar
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson.Google Scholar
- Mayes, G. (2014). Factors impacting the accuracy of self-report perceptions of expertise in technology integration, dissertation, December 2014; Denton, Texas. digital.library.unt.edu/ark:/67531/metadc699870/. Accessed 31 Jul 2017. University of North Texas Libraries, Digital Library, digital.library.unt.edu.
- Niederhauser, D., & Lindstrom, D. (2018). Instructional technology integration models and frameworks: Diffusion, competencies, attitudes, and dispositions. In J. Voogt, G. Knezek, R. Christensen, & K. Lai (Eds.), International handbook of information technology in primary and secondary education (2nd ed.). New York: Springer.Google Scholar
- Northeast and the Islands Regional Technology in Education Consortium (NEIR*TEC). (2007). Evaluation methods and selected advantages and disadvantages. Retrieved 22 Sept 2007 from http://www.neirtec.org/.
- Price, P. C., Jhangiani, R. S., Chiang, I-C. A. (2015). Research methods in psychology, 2nd edn. https://opentextbc.ca/researchmethods/.
- Rogers, P. L. (1999). Barriers to adopting technologies in education. Richmond: Virginia Commonwealth University. Rehabilitation and Training Center on Supported Employment. (ERIC Document Reproduction Service No. ED429556).Google Scholar
- Schmidt, D., Baran, E., Thompson, A., Mishra, P., Koehler, M., & Shin, T. (2009). Technological pedagogical content knowledge (TPACK): The development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42(2), 123–149.CrossRefGoogle Scholar
- Sheehan, M., & Nillas, L. (2010). Technology integration in secondary mathematics classrooms: Effect on students’ understanding. Journal of Technology Integration in the Classroom, 2(3), 67–83.Google Scholar
- Sherer, R., Tondeur, J., Siddiq, F., & Baran, E. (2017). The importance of attitudes toward technology for pre-service teachers’ technological, pedagogical, and content knowledge: Comparing structural equation modelling approaches. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.11.003.
- Stoeckl, S. (2016). Five reasons why the 2016 ISTE Standards for Students matter. https://www.iste.org/explore/articleDetail?articleid=685. 13 July 2016.
- Watkins, C., & Mortimore, P. (1999). Pedagogy: What do we know? In P. Mortimore (Ed.), Understanding pedagogy and its impact on learning. London: Paul Chapman Publishing.Google Scholar