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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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Kerstin Helker; Miguel Bruns; Isabelle M. M. J. Reymen; Jan D. Vermunt – Active Learning in Higher Education, 2025
Responding to calls for more future-oriented teaching and learning, an increasing number of institutions of higher education have recently implemented challenge-based learning (CBL). Through work on open-ended and real-life challenges, CBL aims to stimulate students to take the lead in their own learning, acquire and apply knowledge relevant for…
Descriptors: Problem Based Learning, Learning Processes, Difficulty Level, Higher Education
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Hamed Hosseini Zarrabi; Morteza Rezaei-Zadeh; Abasalt Khorasani – Technology, Pedagogy and Education, 2024
While effective interaction is the most important element of any learning environment, its importance in e-learning has been often ignored. As a result, many e-learning environments suffer from lack of impactful interactions, leading to diminished student engagement. This study aims to address this gap by investigating methods to optimise…
Descriptors: Teaching Methods, Problem Solving, Interaction, Electronic Learning