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Silvis, Deborah; Lee, Victor R.; Clarke-Midura, Jody; Shumway, Jessica F. – Information and Learning Sciences, 2022
Purpose: Much remains unknown about how young children orient to computational objects and how we as learning scientists can orient to young children as computational thinkers. While some research exists on how children learn programming, very little has been written about how they learn the technical skills needed to operate technologies or to…
Descriptors: Programming, Coding, Kindergarten, Robotics
Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Liew, Tze Wei; Tan, Su-Mae; Kew, Si Na – Information and Learning Sciences, 2022
Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…
Descriptors: Teaching Methods, Multimedia Instruction, Psychological Patterns, Emotional Response