Preservice Educator Learning in a Simulated Teaching Environment
PROCEEDINGS
Gerald Knezek, Rhonda Christensen, University of North Texas, United States
Society for Information Technology & Teacher Education International Conference, in Charleston, SC, USA ISBN 978-1-880094-67-9 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
Assessment of learning within a simulated teaching environment is addressed within the context of a federally funded project to improve the maturity and retention of preservice teachers. Analysis of matched treatment and comparison data from two classes of teacher preparation candidates indicates that technology skills are not strongly impacted by the simulated environment but some types of pedagogical skills are affected. These findings provide credible evidence that we can measure learning that takes place in a simulated teaching environment. The technological, pedagogical, content knowledge framework would indicate that two of the three important areas are currently being considered. Current research is needed to fully integrate the simulation of content scenarios within the teaching and learning paradigm.
Citation
Knezek, G. & Christensen, R. (2009). Preservice Educator Learning in a Simulated Teaching Environment. In I. Gibson, R. Weber, K. McFerrin, R. Carlsen & D. Willis (Eds.), Proceedings of SITE 2009--Society for Information Technology & Teacher Education International Conference (pp. 938-946). Charleston, SC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/30726/.
Keywords
References
View References & Citations Map- Bialo, E.R. & Sivin-Kachala, J. (1996). The effectiveness of technology in schools: A summary of recent research. School Library Media Quarterly, 25 (1), 51-57.
- Bloom, B., Mesia, B., & Krathwohl, D. (1964). Taxonomy of educational objectives. New York: David McKay.
- Bull, G., Park, J., Searson, M., Thompson, A., Mishra, P., Koehler, M.J., & Knezek, G. (2007). Editorial: Developing technology policies for effective classroom practice. Contemporary Issues in Technology and Teacher Education [Online serial], 7(3). Available: http://www.citejournal.org/vol7/iss3/editorial/article1.cfm Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
- Christensen, R. (1997). Effect of technology integration education on the attitudes of teachers and their students. Doctoral dissertation, University of North Texas. Dissertation Abstracts International 58 (11), P.4242. UMD#AAT9816134.
- Christensen, R. & Knezek, G. (2008). SimMentoring preservice teachers: Findings from year one. Paper presented to the Society for Information Technology& Teacher Education Annual Conference, March 5, 2008.
- DeVellis, R.F. (1991). Scale development. Newbury Park, NJ: Sage Publications.
- Dwyer, D.C., Ringstaff, C., & Sandholtz, J.H. (1991). Changes in teachers' beliefs and practices in technology-rich classrooms. "Educational Leadership" 48(8), 45-52.
- Gibson, D. (2007). SimSchool-A complex systems framework for modeling teaching& Learning. Paper presented to the National Educational Computing Conference, Atlanta, GA, June 2007.
- Griffin, D., & Christensen, R. (1999). Concerns-Based Adoption Model Levels of Use of an Innovation (CBAM-LOU). Adapted from Hall, Loucks, Rutherford, & Newlove (1975). Denton, Texas: Institute for the Integration of Technology into Teaching and Learning.
- 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.
- Koehler, M.J. & Mishra, P. (2008). Introducing TPCK. Handbook of Technological Pedagogical Content Knowledge (TPCK) for educators (pp. 3-9). New York: Routledge.
- Marshall, J. & Hales, L. (1972). Essentials of testing. Reading, MA: Addison-Wesley.
- McCrae, R., & Costa, P. (1996). Toward a new generation of personality theories: Theoretical contexts for the five-factor model. In J.S. Wiggins (Ed.), The five-factor model of personality: Theoretical perspectives (pp. 51-87). New York: Guilford.
- Morales, C., Knezek, G., & Christensen, R. (2008). Self-Efficacy Ratings of Technology Proficiency Among Teachers in Mexico and Texas. Computers in the Schools, 25(1/2), 126-144.
- Riedel, E. (2000). Teacher Beliefs& Preparation Survey. Univ. Of Minnesota: Center for Applied Research and Educational Improvement.
- Ropp, M.M. (1999). Exploring individual characteristics associated with learning to use computers in preservice teacher preparation. Journal of Research on Computing in Education, 31(4), 402-424.
- Vandersall, K. (2006). Teacher Survey Battery. Los Angeles, CA: Arroyo Research Services. Acknowledgements This research was supported in part by the U.S. Dept. Of Education Fund for the Improvement of
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Society for Information Technology & Teacher Education International Conference 2012 (Mar 05, 2012) pp. 2588–2595
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An Investigation of the Impact of Digital Fabrication Projects on Pre-Service Teachers’ Attitudes and Skills
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