The Examination Affecting ICT Self-Efficacy and Online Information Practices via Structural Equation Modeling: PISA 2022 Türkiye Sample

Abstract

In this study, it is aimed to examine the relationship between ICT self-efficacy perceptions and online information practices in PISA 2022 student questionnaire and ICT related factors A predictive correlational research design was preferred to examine the variables predicting students' self-efficacy perceptions and online information practices towards information and communication technologies. PISA 2022 Türkiye data was used in the study. Research data was obtained from 8 data collection tools that were indexed by OECD and converted into 6 variables. Structural equation model was established with this data and MLR was used as the estimation method. In the tested structural equation model, the RMSEA value was calculated as .04, SRMR as .02, CFI as .99 and TLI as .96. As a result of the analysis, all path coefficients were significant and the values of the fit indices indicated perfect fit.