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Learning Through Exploration of an Online School: Characteristics of Preservice Teachers' Searches
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, University of Minnesota, United States ; , The Vermont Institutes, United States

Society for Information Technology & Teacher Education International Conference, in Atlanta, GA, USA ISBN 978-1-880094-52-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

This paper examines the use of data generated by recording the information preservice teachers access in online scenarios in which they are asked to make decisions about using technology in a fictitious schools (eTIP Cases). The data are reported back to students and teacher education faculty in several forms including a relevancy index which measures how closely their searches of the problem space resembled that of an expert. Preliminary analysis of data generated by use of the cases in 34 teacher preparation courses showed that students narrowed their searches over multiple cases and increased their relevancy index scores. Test-bed faculty were ambivalent about the use of the relevancy index, however, and the conditions influencing relevancy scores require further exploration.

Citation

Riedel, E. & Gibson, D. (2004). Learning Through Exploration of an Online School: Characteristics of Preservice Teachers' Searches. In R. Ferdig, C. Crawford, R. Carlsen, N. Davis, J. Price, R. Weber & D. Willis (Eds.), Proceedings of SITE 2004--Society for Information Technology & Teacher Education International Conference (pp. 1015-1018). Atlanta, GA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved October 16, 2019 from .

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  • Semantic Web Applications for E-Learning

    Joel Foreman, George Mason University, United States; David Gibson, Vermont Institutes, United States

    Society for Information Technology & Teacher Education International Conference 2005 (2005) pp. 1932–1937

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