Exploring the Potential of the Will, Skill, Tool Model in Predicting Pre-Service Teachers and Tutors of Colleges of Education Stage of Adoption of Technology Integration into Teaching and Learning
DOI:
https://doi.org/10.53819/81018102t4111Abstract
Studies have demonstrated that will (positive attitudes), skill (technology competency), and tool (access to technology tools) are all needed components for an educator to successively integrate technology into teaching and learning. This research work centered on the will, skill and tool as important procedures for the predictability of technology integration into teaching and learning, announced by the study respondents and calculated by stages of adoption of pre-service teachers and tutors of Colleges of Education in Ashanti Region, Ghana. Quantitative research design which involves survey was used to answer the research question; “How would will, skill and technology tools predict pre-service teachers and tutors stage of adoption of technology integration into teaching and learning at the Colleges of Education in Ashanti Region?” Three hundred and thirty-eight (338) pre-service teachers of College of Education who were in level 200 of the 2019/2020 academic year, offering either Mathematics or Science or Visual art were selected through purposive sampling technique and thirteen (13) tutors were sampled using convenience sampling technique for the study. The participants answered a well validated instruments spread over from the areas of attitudes (will), competencies (skill), access (tool) and technology integration into teaching and learning. The data was analysed using regression analysis. The results revealed that access to technology tools appeared to be stronger predictor of classroom integration of technology into teaching and learning by pre-service teachers and tutors of Colleges of Education in Ashanti Region. That is, predictability of stages of adoption from 0.37 to 0.41(0.37+0.94/2) was realised.
Keywords: Exploring, predicting, stages of adoption integrating technology, teaching and learning, pre-service teachers, tutors.
References
Balanskat, A., Blamire, R., & Kafal, S. (2007). A review of studies of ICT impact on schools in Europe European Schoolnet.
Clausen, L., (2007). Corporate Communication Challenges 'Negotiated' Culture Perspective. International Journal of Cross Cultural Management. (7), 317-332. 10.1177/1470595807083376.
Davidsen, J., & Christiansen, E. (2014). Mind the hand: A study on children’s embodied and multimodal collaborative learning around touchscreens. Designs for Learning, 7(1), 34–53. https://doi.org/10.2478/dfl-2014-0010
Earle S., R., (2002). The Integration of Instructional Technology into Public Education: Promises and Challenges. ET Magazine Vol. 42, No. 1, January-February, 2002, P. 5-13. http://BooksToRead.com/etp
Ghavifekr, S. & Rosdy, W.A.W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International Journal of Research in Education and Science (IJRES), 1(2), 175-191. https://doi.org/10.21890/ijres.23596
Knezek, G., Christensen, R., Hancock, R., & Shoho, A. (2000). Toward a structural model of technology integration. Paper presented to the Annual Hawaii Educational Research Association Conference, Honolulu, Hawaii.
Lim, C. P., & Chai, C. S. (2008). Teachers’ pedagogical beliefs and their planning and conduct of computer-mediated classroom lessons. British Journal of Educational Technology, vol. 39, no. 5, pp. 807–828. https://doi.org/10.1111/j.1467-8535.2007.00774.x
Morales, C. (2006). Cross-cultural validation of the will, skill, tool model of technology integration. Unpublished doctoral dissertation, University of North Texas, Denton, TX.
Neyland, E. (2011). Integrating online learning in NSW secondary schools: Three school’s perspectives on ICT adoption. Australia Journal of Educational Technology, vol. 27, no. 1, pp. 152-173. https://doi.org/10.14742/ajet.989
Pamuk, S., & Peker, D. (2009). Turkish pre service science and mathematics teachers’ computer related self-efficacies, attitudes, and the relationship between these variables. Computers & Education (2009), doi: 10.1016/j.compedu.2009.03.004. https://doi.org/10.1016/j.compedu.2009.03.004
Rangaswamy, Arvind & Gupta, Sunil. (2000). Innovation adoption and diffusion in the digital environment: Some research opportunities. New Product Diffusion Models. 75–96.
Rogers, E.M. (2003). Diffusion of innovations (5th Ed.). New York: Free Press.
Tondeur, J., Valcke, M., & van Braak, J. (2008). A multidimensional approach to determinants of computer use in primary education: Teacher and school characteristics. Journal of Computer Assisted Learning, vol. 24, pp. 494–506. https://doi.org/10.1111/j.1365-2729.2008.00285.x
Williams, M. D. (2003). Technology integration in education. In Tan, S.C. & Wong, F.L. (Eds.), Teaching and Learning with Technology, pp. 17-31: An Asia-pacific perspective. Singapore: Prentice Hall.
