Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

Abstract

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

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