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Direct linkJihyun Lee – Education and Information Technologies, 2024
This study examined teachers' digital tool use through latent class analysis (LCA) and identified predictors that separated the emergent subgroups of teachers. Data from the PISA 2018 teacher questionnaire were employed to analyze the teachers' digital tool behaviors in ICT (Information and Communications Technology) strong countries: Germany,…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Erdogdu, Funda – Education and Information Technologies, 2022
Using panel data from the last five PISA cycles and data on various institutional variables, the role of ICT resources, parents' occupation, school characteristics and institutions in student attainment was explored. The data were collected from 2.5 million students in 94 countries/economies representing more than 140 million students worldwide.…
Descriptors: Predictor Variables, Academic Achievement, Longitudinal Studies, Secondary School Students
Erdogdu, Funda – Education and Information Technologies, 2022
The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate,…
Descriptors: Academic Achievement, Predictor Variables, International Assessment, Secondary School Students
