The Pedagogical Implications of Implementing New Technologies to Enhance Student Engagement and Learning Outcomes
- 1 School of Education and Professional Studies, Griffith University, Queensland, Australia
- 2 School of Education and Professional Studies, Griffith University, Queensland, Australia
- 3 School of Education and Professional Studies, Griffith University, Queensland, Australia
Abstract
This paper reports the findings of research conducted by three teacher educators about the effects on teaching and learning from implementing a variety of digital technologies in their undergraduate courses. The aim of this study was to assess the degree to which certain university supported digital technologies assisted in promoting student engagement and participation in collaborative learning. The data are based on the semester long experiences of the three lecturers and their students. From this data emerged an holistic picture that highlights which of the implemented digital technologies constrains or enables particular pedagogical aspects such as communication of course requirements; student engagement, meaningful formative feedback; and deep connections between course elements. This picture assisted the authors in generating a matrix for implementing certain digital technologies that cater for diverse learning styles, and diverse ly experience an interest in using technology. The theoretical framework for building the matrix is based on Collins, Brown and Newman’s (1990) Cognitive Apprenticeship Model. It is also underpinned by the suggestions that as “ teachers ” we too often overlook whether or not our students have the requisite skills to engage with technologies because of tacit assumptions about how this generation of students wants to learn. Likewise, the same can be said of those who provide professional development sessions for staff who are learning how to use new technologies and who often appear to make similar assumptions.
- Arbaugh, J. B. (2008). Does the community of inquiry framework predict outcomes in online MBA courses? International Review of Research in Open and Distance Learning, 9. http://www.irrodl.org/index.php/irrodl/article/viewArticle/490/1045
- Boston, W., Diaz, S. R., Gibson, A. M., Ice, P., Richardson, J., & Swan, K. (2009). An exploration of the relationship between indicators of the Community of Inquiry framework and retention in online programs. Journal of Asynchronous Learning Networks, 13, 67-83.
- Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2, 141-178. http://dx.doi.org/10.1207/s15327809jls0202_2
- Brown, A. L., & Campione, J. C. (1996). Psychological theory and the design of innovative learning environments: On procedures, principles, and systems. In R. Glaser (Ed.), Innovations in learning: New environments for education (pp. 289-325). Mahwah, NJ: Erlbaum.
- Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-41. http://dx.doi.org/10.3102/0013189X018001032
- Collins, A. (1992). Toward a design science of education. In E. Scanlon, & T. O’Shea (Eds.), New directions in educational technology (pp. 15-22). New York: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-77750-9_2
- Collins, A., Brown, J. S., & Newman, S. E. (1990). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 453-494). Hillsdale, NJ: Lawrence Erlbaum.
- Felder, R. M. & Brent, R. (2005). Understanding student differences. Journal of Engineering Education, 94, 57-72. http://dx.doi.org/10.1002/j.2168-9830.2005.tb00829.x
- Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. Internet and Higher Education, 10, 157-172. http://dx.doi.org/10.1016/j.iheduc.2007.04.001
- Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. American Journal of Distance Education, 19, 133-148. http://dx.doi.org/10.1207/s15389286ajde1903_2
- Goodhue, D., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19, 213-236. http://dx.doi.org/10.2307/249689