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Dorian Stoilescu; Andreea Molnar – ACM Transactions on Computing Education, 2025
This article explores differences between women's and men's views on teaching and learning in undergraduate computer science studies at a Canadian university. The research focuses on perceptions and experiences about learning activities and teaching computer science and how students and teachers view these aspects as valuable for these activities.…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Preferences
Ramon Lawrence; Sarah Foss; Tatiana Urazova – ACM Transactions on Computing Education, 2023
Objectives: Automatic assessment systems are widely used to provide rapid feedback for students and reduce grading time. Despite the benefits of increased efficiency and improved pedagogical outcomes, an ongoing challenge is mitigating poor student behaviors when interacting with automatic assessment systems including numerous submissions,…
Descriptors: Student Behavior, Evaluation Methods, Technology Uses in Education, Educational Technology
Steghöfer, Jan-Philipp; Burden, Håkan; Hebig, Regina; Calikli, Gul; Feldt, Robert; Hammouda, Imed; Horkoff, Jennifer; Knauss, Eric; Liebel, Grischa – ACM Transactions on Computing Education, 2018
Problem: The involvement of external stakeholders in capstone projects and project courses is desirable due to its potential positive effects on the students. Capstone projects particularly profit from the inclusion of an industrial partner to make the project relevant and help students acquire professional skills. In addition, an increasing push…
Descriptors: Stakeholders, Capstone Experiences, Student Projects, School Business Relationship
Zingaro, Daniel – ACM Transactions on Computing Education, 2015
Computer Science 1 (CS1), the first course taken by college-level computer science (CS) majors, has traditionally suffered from high failure rates. Efforts to understand this phenomenon have considered a wide range of predictors of CS success, such as prior programming experience, math ability, learning style, and gender, with findings that are…
Descriptors: Computer Science Education, Student Interests, College Students, Grades (Scholastic)

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