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Nusaibah Dakamsih; Mo’tasim-Bellah Alshunnag; Azel Alkayid – Educational Process: International Journal, 2025
Background/Purpose: This study investigates the pedagogical potential of AI-generated images to enhance student engagement and critical analysis in world literature curricula. Grounded in Reader-Response Theory, it explores how algorithmic visuals impact student interpretation, addressing a gap in understanding technology's role in fostering…
Descriptors: Undergraduate Students, Russian Literature, English Literature, Literary Genres
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Eryilmaz, Selami; Deniz, Gülhanim – Turkish Online Journal of Educational Technology - TOJET, 2021
This study was conducted to determine the effect of Tinkercad use in computer programming education on students ' computational thinking skills and perceptions. In this context, 583 secondary school students studying in Ankara province of Turkey at the fifth, sixth, seventh and eighth grade level in the 2019-2020 academic year constitute the…
Descriptors: Computer Science Education, Programming, Instructional Effectiveness, Courseware