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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Çakiroglu, Ünal; Kiliç, Servet – Interactive Learning Environments, 2023
Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…
Descriptors: Teachers, Pedagogical Content Knowledge, Computation, Thinking Skills
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Werner, Linda; Denner, Jill; Campe, Shannon; Torres, David M. – ACM Transactions on Computing Education, 2020
This article builds on prior work that aims to measure computational learning (CL) during middle school. Since game computational sophistication (GCS) has been used as a proxy for a student's engagement in CL we build on their model to more completely describe the relationship between different types of building blocks of computer games and GCS.…
Descriptors: Computation, Middle School Students, Knowledge Level, Learner Engagement
Major, Louis – Online Submission, 2010
Teaching computer programming to novices is a difficult task due to the complex nature of the subject, as negative stereotypes are associated with programming and because introductory programming courses often fail to encourage student understanding. This Protocol outlines the plan that is to be followed in order to investigate the effectiveness…
Descriptors: Stereotypes, Search Strategies, Programming, Robotics