Logistic Regression Modeling for Predicting Task-Related ICT Use in Teaching

The main goal of this study is to estimate the extent to which perceived innovation characteristics are associated with the probability of task related ICT use among secondary school teachers. The tasks were categorized as teaching preparation, teaching delivery, and management. Four hundred and six...

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Veröffentlicht in:Educational technology & society 2006-01, Vol.9 (2), p.141-151
Hauptverfasser: Askar, Petek, Usluel, Yasemin Kocak, Mumcu, Filiz Kuskaya
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creator Askar, Petek
Usluel, Yasemin Kocak
Mumcu, Filiz Kuskaya
description The main goal of this study is to estimate the extent to which perceived innovation characteristics are associated with the probability of task related ICT use among secondary school teachers. The tasks were categorized as teaching preparation, teaching delivery, and management. Four hundred and sixteen teachers from secondary schools in Turkey, completed a questionnaire, which was designed to determine the taskrelated usage and the perceptions of the teachers in regard to ICT. Logistic stepwise regression analysis showed that complexity or ease of use was found to be a common perceived innovation characteristic for teaching delivery, preparation and managerial tasks in schools. Another result of this survey lead one to conclude that observability is a perceived attribute in teaching delivery in some specific tasks performed during the class period whereas relative advantage and compatibility are for teaching preparation tasks.
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source DOAJ Directory of Open Access Journals; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals; EBSCOhost Education Source
subjects Adoption (Ideas)
Art teachers
Computer Attitudes
Computers in education
Distance learning
Educational innovation
Educational technology
Foreign Countries
Full Length Articles
Information Technology
Innovation adoption
Innovation diffusion
Innovations
Instructional Innovation
Logistic regression
Logistics
Observability (systems)
Predictor Variables
Questionnaires
Regression (Statistics)
Regression analysis
Secondary School Teachers
Statistical analysis
Stepwise Regression
Teacher Attitudes
Teachers
Technological innovation
Technology Education
Technology Uses in Education
Turkey (Ankara)
Use Studies
title Logistic Regression Modeling for Predicting Task-Related ICT Use in Teaching
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