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ERIC Number: EJ836830
Record Type: Journal
Publication Date: 2006
Pages: 11
Abstractor: As Provided
Reference Count: 28
ISSN: ISSN-1436-4522
Logistic Regression Modeling for Predicting Task-Related ICT Use in Teaching
Askar, Petek; Usluel, Yasemin Kocak; Mumcu, Filiz Kuskaya
Educational Technology & Society, v9 n2 p141-151 2006
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 task-related 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. (Contains 1 table and 5 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Adult Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey (Ankara)