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An Ecological Approach to Technology Appropriation: A Sustainable Digital Learning Material Development Ecosystem

An Ecological Approach to Technology Appropriation: A Sustainable Digital Learning Material Development Ecosystem

Tugra Karademir Coşkun, Ayfer Alper
Copyright: © 2020 |Pages: 28
ISBN13: 9781799821045|ISBN10: 1799821048|ISBN13 Softcover: 9781799821052|EISBN13: 9781799821069
DOI: 10.4018/978-1-7998-2104-5.ch004
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MLA

Karademir Coşkun, Tugra, and Ayfer Alper. "An Ecological Approach to Technology Appropriation: A Sustainable Digital Learning Material Development Ecosystem." Examining the Roles of Teachers and Students in Mastering New Technologies, edited by Eva Podovšovnik, IGI Global, 2020, pp. 79-106. https://doi.org/10.4018/978-1-7998-2104-5.ch004

APA

Karademir Coşkun, T. & Alper, A. (2020). An Ecological Approach to Technology Appropriation: A Sustainable Digital Learning Material Development Ecosystem. In E. Podovšovnik (Ed.), Examining the Roles of Teachers and Students in Mastering New Technologies (pp. 79-106). IGI Global. https://doi.org/10.4018/978-1-7998-2104-5.ch004

Chicago

Karademir Coşkun, Tugra, and Ayfer Alper. "An Ecological Approach to Technology Appropriation: A Sustainable Digital Learning Material Development Ecosystem." In Examining the Roles of Teachers and Students in Mastering New Technologies, edited by Eva Podovšovnik, 79-106. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2104-5.ch004

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Abstract

The study aims to construct an innovation-based digital learning material (DLM) development ecosystem that penetrates and sustains within the school culture in order to diffuse and maintain DLM development. Sixty-two teachers from 21 different branches participated in this nested mixed design study. Data were collected through scales and interviews, and the study was based on the steps adopted by Rogers on the diffusion of innovation. Quantitative data were analysed with cluster analysis, logistic and multi-linear regression. Qualitative data were analysed with structural, in vivo, and axial coding in order to construct the ecosystem. The findings demonstrate that the main variables, which were determined to influence the adoption and sustenance of DLM development by teachers, were the support of administrators and colleagues, the willingness and need to develop DLM, computer knowledge, and DLM development self-efficacy.

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