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Bülent Basaran – Education and Information Technologies, 2024
This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create…
Descriptors: Foreign Countries, International Assessment, Secondary School Students, Achievement Tests
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Kim, Meereem; Kim, Hyesook – Computers in the Schools, 2023
This study aims to identify the profiles regarding students' familiarity with information and communication technology (ICT) and their relationships to reading literacy and background variables for high-performing countries in PISA 2018. We distinguished four classes in each of the six countries (Estonia, Hong Kong, Ireland, New Zealand, Poland,…
Descriptors: Profiles, Use Studies, High Achievement, Foreign Countries
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Jihyun 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
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Tomte, Cathrine; Hatlevik, Ove E. – Computers & Education, 2011
In this paper, we explored the relationship between self-efficacy, Information and Communication Technology (ICT) user profiles, and gender. Self-efficacy is an important theoretical and empirical concept to identify and describe how students perceive their own ability to solve a task. ICT user profiles were developed as an empirical framework to…
Descriptors: School Activities, Student Attitudes, Self Efficacy, Foreign Countries