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Emre Suzer; Mustafa Koc – Education and Information Technologies, 2024
The aim of this study is to determine teachers' digital competency on the basis of European DigCompEdu framework and its relationships with some demographic and teacher characteristics. It was designed as a cross-sectional survey within the quantitative research paradigm. The sample consisted of 368 (199 male and 169 female) teachers working in a…
Descriptors: Teacher Competencies, Technological Literacy, Teacher Characteristics, Urban Schools
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Zehua Dong; Ming Ming Chiu; Shuqi Zhou; Zihong Zhang – Education and Information Technologies, 2024
Building on past studies showing that mobile learning improves learning outcomes and differs within a domain (e.g., science), this meta-analysis models domain-specific differences (e.g., learning activities) that drive these differences in science performance. A systematic database search (i.e., Web of Science, JSTOR, ERIC, PsycINFO, ProQuest…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Science Education
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Mustafa Armut; Mehmet Kara – Education and Information Technologies, 2024
This study aimed to determine the variables affecting the eye-movements of second-language (L2) learners of Turkish in Türkiye while solving a test consisting of questions that included graphics. A total of 115 L2 learners participated in the research (21 in the pilot study and 94 in the main study). We presented a test consisting of five…
Descriptors: Foreign Countries, Second Language Learning, Turkish, Eye Movements