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Ellie Lovellette; Dennis J. Bouvier; John Matta – ACM Transactions on Computing Education, 2024
In recent years, computing education researchers have investigated the impact of problem context on students' learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research in computer science and other disciplines. The results of this study could help inform…
Descriptors: Computer Science Education, Student Evaluation, Context Effect, Problem Solving
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Remshagen, Anja; Huett, Kim C. – TechTrends: Linking Research and Practice to Improve Learning, 2023
As schools endeavor to provide all students with access to computational thinking and computer science, the hackathon emerges as a competitive and high-energy event that uses authentic problems to motivate learners to engage in the domain of computing. This article presents the design case of a hackathon for teenagers as enacted over five…
Descriptors: Adolescents, Computer Software, Group Activities, Problem Solving
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Pullu, Emine Kübra; Gömleksiz, Mehmet Nuri – Discourse and Communication for Sustainable Education, 2021
This research was prepared in order to determine the change in students' academic achievement, retention levels and attitudes, and problem solving skill and creative thinking skill as a result of programming teaching with authentic task-based applications. The research was prepared using an experimental design with pretest-posttest control group.…
Descriptors: Authentic Learning, Academic Achievement, Positive Attitudes, Problem Solving
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Pawlak, Alanna; Irving, Paul W.; Caballero, Marcos D. – Physical Review Physics Education Research, 2020
An increasing number of introductory physics courses are seeking to incorporate "authentic practices," and a large area of focus in this trend is the incorporation of computational problems into the curriculum. These problems offer students an opportunity to engage with the programming practices and numerical problem-solving methods used…
Descriptors: Problem Based Learning, Physics, Science Instruction, Programming