Instructional Technology Integration Models and Frameworks: Diffusion, Competencies, Attitudes, and Dispositions
Models and frameworks help us better understand complex ideas and processes by providing a simplified explication of a concept, phenomenon, relationship, structure, system, or aspect of the real-world that allows us to focus on essential aspects of that which is being modeled. Relative to classroom technology integration, models can be useful in helping us understand and explain how technology integration occurs, allow us to better make decisions about how to effectively utilize technology resources, and provide insights that support development of strategies to more effectively and efficiently promote the kinds of pedagogical reforms that reformers hope to see in schools. The purpose of this chapter is to provide an overview of current models and frameworks that inform teacher adoption of technologies that support the integration of technology into student learning experiences in K-12 school settings, and to link them to theories of diffusion, adoption and change that underpin them.
KeywordsModels Frameworks CIT Diffusion Competency Attitudes Dispositions
- Ajzen, I. (2006). Constructing a TpB questionnaire: Conceptual and methodological considerations. Retrieved 1 Feb 2017 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.601.956&rep=rep1&type=pdf.
- Ajzen, I. (2012). Theory of planned behavior. In P. Van Lange, A. Kruglanski, & E. Higgens (Eds.), The handbook of theories of social psychology (Vol. 1, pp. 438–454). Thousand Oaks: Sage.Google Scholar
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall.Google Scholar
- Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs: Prentice Hall.Google Scholar
- Bauer, J., & Kenton, J. (2005). Toward technology integration in the schools: Why it isn’t happening. Journal of Technology and Teacher Education, 13(4), 519.Google Scholar
- Fishbein, M. (1965). A consideration of beliefs, attitudes, and their relationship. In I. Steiner & M. Fishbein (Eds.), Current studies in social psychology (pp. 107–120). New York: Holt, Rinehart and Winston.Google Scholar
- George, A., Hall, G., & Stiegelbauer, S. (2006). Measuring implementation in schools: The stages of concern questionnaire. Austin: SEDL.Google Scholar
- Hall, G. E. (1974). The concerns-based adoption model: A developmental conceptualization of the adoption process within educational institutions. Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.Google Scholar
- Hall, G. E., Dirksen, D. J., George, A. A. (2006). Measuring implementation in schools: Levels of use. Retrieved 18 Mar 2017 from http://www.sedl.org/cbam/lou_manual_201410.pdf.
- 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 Computing in Teacher Education, 24(1), 15–21.Google Scholar
- Hutchison, A., & Reinking, D. (2011). Teachers’ perceptions of integrating information and communication technologies into literacy instruction: A national survey in the United States. Reading Research Quarterly, 46(4), 312–333.Google Scholar
- Knezek, G., Christensen, R., Miyashita, K., & Ropp, M. (2000). Instruments for assessing educator progress in technology integration. Denton: Institute for the Integration of Technology into Teaching and Learning (IITTL).Google Scholar
- Lankshear, C., & Knobel, M. (2007). Sampling “the new” in new literacies. In C. Lankshear & M. Knobel (Eds.), A new literacies sampler (pp. 1–24). New York: Peter Lang.Google Scholar
- 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: Jossey-Bass.Google Scholar
- Loucks, S.F., & Hall, G.E. (1979). Implementing innovations in schools: A concerns-based approach. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.Google Scholar
- Moersch, C. (1995). Levels of technology implementation (LoTi): A framework for measuring classroom technology use. Learning and Leading with Technology, 23, 40–40.Google Scholar
- 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.Google Scholar
- Pajares. (2002). Overview of social cognitive theory and of self-efficacy. Retrieved 3 Feb 2017 from http://www.uky.edu/~eushe2/Pajares/eff.html.
- Puentedura, R. R. (2012). The SAMR model: Background and exemplars. Retrieved 8 Mar 2017 from http://www.hippasus.com/rrpweblog/archives/2012/08/23/SAMR_BackgroundExemplars.pdf.
- Purcell, K., Heaps, A., Buchanan, J., Friedrich, L. (2013). How teachers are using technology at home and in their classrooms. Pew Internet & American Life Project. Retrieved 23 Jan 2017 from http://www.pewinternet.org/∼/media//Files/Reports/2013/PIP_TeachersandTechnologywithmethodology_PDF.pdf.
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Simon & Schuster.Google Scholar
- Sandholtz, J. H., Ringstaff, C., & Dwyer, D. C. (1997). Teaching with technology: Creating student-centered classrooms. New York: Teachers College Press.Google Scholar
- Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (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.Google Scholar
- Schunk, D. H. (2001). Learning theories: An educational perspective (3rd ed.). Upper Saddle River: Prentice-Hall/Merrill.Google Scholar
- Sheingold, K. (1991). Restructuring for learning with technology: The potential for synergy. Phi Delta Kappan, 73(1), 17–27.Google Scholar
- Sherry, L. (1998). An integrated technology adoption and diffusion model. International Journal of Educational Telecommunications, 4(2), 113–145.Google Scholar
- Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.Google Scholar
- Wang, S. K., Hsu, H. Y., Campbell, T., Coster, D., & Longhurst, M. (2014). An investigation of middle school science teachers and students use of technology inside and outside of classrooms: Considering whether digital natives are more technology savvy than their teachers. Educational Technology Research and Development, 62(6), 637–662.CrossRefGoogle Scholar
- Wesley, M. T., & Franks, M. E. (1996). Advanced adoption of computer technology in the classroom and teachers’ participation in voluntary innovation adoption activities. Paper presented at the annual meeting of the Mid-South Educational Research Association, Tuscaloosa, AL.Google Scholar