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Direct linkOscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
Kaitlin N. S. Newhouse; Kathleen J. Lehman; Annie M. Wofford; Michelle Sendowski – ACM Transactions on Computing Education, 2024
Interdisciplinarity has been touted as a means to recruit more racially and gender-diverse students to computing. In this explanatory sequential mixed-methods study, we investigated demographic characteristics among a sample of undergraduate students pursuing interdisciplinary computing major and minor combinations at 15 institutions in the United…
Descriptors: Computer Science Education, Interdisciplinary Approach, Undergraduate Students, Introductory Courses
Download full textErnst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
Andra Antal-Berbecaru; Alexia Larchen Costuchen; Soumyabrata Dev – Computers in the Schools, 2024
This paper is about the development of a gamified application tailored to Generation Z (population born between 1997 and 2012) as an alternative to the text-based LimeSurvey (formerly PHPSurveyor). The study was conducted among students from the Department of Computer Science at University College Dublin. Data were analyzed from the perspectives…
Descriptors: Gamification, Learner Engagement, Student Surveys, Age Groups
