Using Computer Adaptive Tests to Support Research in Teacher Education.
PROCEEDINGS
Leslee Francis Pelton, Tim Pelton, University of Victoria, Canada
Society for Information Technology & Teacher Education International Conference, in Phoenix, AZ, USA ISBN 978-1-880094-55-6 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
This paper examines the potential utility of using an externally supplied computer adaptive test (CAT) to support the educational process in a mathematics course for pre-service teachers and to produce validation evidence in support of course assessments and institutional student satisfaction surveys. The preliminary, mid-collection results presented here suggest that a pre-testing program may support counseling efforts, taught curriculum adjustment and the efficient targeting of tutoring and mentoring initiatives. Correlations between student gains in achievement and demographics, self evaluations and teacher and course ratings confirm some expectations and illuminate some interesting relationships that might be examined further.
Citation
Francis Pelton, L. & Pelton, T. (2005). Using Computer Adaptive Tests to Support Research in Teacher Education. In C. Crawford, R. Carlsen, I. Gibson, K. McFerrin, J. Price, R. Weber & D. Willis (Eds.), Proceedings of SITE 2005--Society for Information Technology & Teacher Education International Conference (pp. 78-83). Phoenix, AZ, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from https://www.learntechlib.org/primary/p/18952/.
Keywords
References
View References & Citations Map- Pelton, T (2003). What are the Effects of Allowing Crossing Item Characteristic Curves into our Measurement Model? Annual Meeting of the American Educational Research Association. Chicago IL. April, 2003
- Ambady, N. & Rosenthal, R. (1992). Thin Slices of Expressive Behavior as Predictors of Interpersonal Consequences: A Metaanalysis, Psychological Bulletin 111: 256-274.
- Hake, R.R. (2003). Thin-Slice Judgments, End-of-Course Evaluations, Grades, and Student Learning. Online at< http://listserv.nd.edu/cgi-bin/wa?A2=ind0303 & L=pod & P=R18434>.
- Hambleton, R.K., Swaminathan, H., & Rogers, H.J. (1991). Fundamentals of item response theory. Newbury Park CA: Sage Publication.
- Lang, S. (1997). Cornell study finds student ratings soar on all measures when professor uses more enthusiasm. Study raises concernsabout the validity of student evaluations. Cornell Science News, Sept.; Online at< http://www.news.cornell.edu/releases/Sept97/student.eval.ssl.html >.
- Lewis, R. (1998). Student Evaluations: Widespread and Controversial. The Scientist 12(9):12, Apr. 27, 1998; online at< http://www.the-scientist.com/yr1998/apr/prof_980427.html >.
- Rasch, G. (1992). Probabilistic models for some intelligence and attainment tests. Chicago: MESA Press.
- Scriven, M. (1988). The Validity of Student Ratings. Instructional Evaluation 9: 5-18.
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