Predicting technology integration based on a conceptual framework for ICT use in education
| Autor: | Nilüfer Atman Uslu, Yasemin Koçak Usluel |
|---|---|
| Přispěvatelé: | Department of Computer Education and Instructional Technology, Faculty of Education, Manisa Celal Bayar University, Manisa, Turkey, Department of Computer Education and Instructional Technology, Faculty of Education, Hacettepe University, Ankara, Turkey |
| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
business.industry Computer science Communication 05 social sciences Educational technology 050301 education 050801 communication & media studies Predictor variables Structural equation modeling Computer Science Applications Education Test (assessment) 0508 media and communications Conceptual framework Information and Communications Technology ComputingMilieux_COMPUTERSANDEDUCATION Technology integration Faculty development business 0503 education Information Systems |
| Zdroj: | Technology, Pedagogy and Education. 28:517-531 |
| ISSN: | 1747-5139 1475-939X |
| DOI: | 10.1080/1475939x.2019.1668293 |
| Popis: | The purpose of this study is twofold: (1) to propose a conceptual framework for classifying ICT use in education and (2) to develop and test a structural model including both teacher- and school-related factors, to explain technology integration. A conceptual framework has been developed in order to classify use of ICT (information and communications technologies) in education with an instrumentalist perspective. Indicators of technology integration have been clearly identified and associated with the constructs in the framework. Access, technical support, administrative support and professional development support are examined under school-related variables, while teachers’ beliefs and ICT competencies are investigated under teacher variables. A model based on these variables has been proposed and tested through structural equation modelling. Data was collected from 403 teachers working in primary and secondary schools. Results have indicated that factors in the model explained 70% of the variance in the technology integration that showed that the substantial amount of variance was predicted. © 2019, © 2019 Association for Information Technology in Teacher Education. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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