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Oscar 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
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Indriasari, Theresia Devi; Denny, Paul; Lottridge, Danielle; Luxton-Reilly, Andrew – Computer Science Education, 2023
Background and Context: Peer code review activities provide well-documented benefits to students in programming courses. Students develop relevant skills through exposure to alternative coding solutions, producing and receiving feedback, and collaboration with peers. Despite these benefits, low student motivation has been identified as one of the…
Descriptors: Peer Evaluation, Student Motivation, Cooperative Learning, Programming
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Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
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Zakaria, Zarifa; Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle Cadieux; Lynch, Collin F.; Boyer, Kristy Elizabeth; Wiebe, Eric N. – Computer Science Education, 2022
Background and Context: Researchers and practitioners have begun to incorporate collaboration in programming because of its reported instructional and professional benefits. However, younger students need guidance on how to collaborate in environments that require substantial interpersonal interaction and negotiation. Previous research indicates…
Descriptors: Feedback (Response), Intervention, Comparative Analysis, Programming
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Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
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Al-Sakkaf, Abdullah; Omar, Mazni; Ahmad, Mazida – Computer Science Education, 2019
Background and Context: In spite of the decades spent developing software visualization (SV), doubts still remain regarding their effectiveness. Furthermore, student engagement plays an important role in improving SV effectiveness as it is correlated with many positive academic outcomes. It has been shown that the existing SV has failed to engage…
Descriptors: Learner Engagement, Computer Software, Outcomes of Education, Computer Interfaces
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Nutbrown, Stephen; Higgins, Colin – Computer Science Education, 2016
This article explores the suitability of static analysis techniques based on the abstract syntax tree (AST) for the automated assessment of early/mid degree level programming. Focus is on fairness, timeliness and consistency of grades and feedback. Following investigation into manual marking practises, including a survey of markers, the assessment…
Descriptors: Programming, Grading, Evaluation Methods, Feedback (Response)
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Taherkhani, Ahmad; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2012
In this study, we examined freshmen students' sorting algorithm implementations in data structures and algorithms' course in two phases: at the beginning of the course before the students received any instruction on sorting algorithms, and after taking a lecture on sorting algorithms. The analysis revealed that many students have insufficient…
Descriptors: Foreign Countries, Classification, Mathematics, Computer Science Education
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Sorva, Juha; Lönnberg, Jan; Malmi, Lauri – Computer Science Education, 2013
Visual program simulation (VPS) is a new, interactive form of educational program visualisation, in which learners use graphical controls to direct a program's execution rather than simply watching an animation of it. In this article, we report on a qualitative empirical study of novice programmers learning through VPS. From an analysis of…
Descriptors: Visualization, Computer Uses in Education, Interviews, Observation
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Cummins, Stephen; Burd, Liz; Hatch, Andrew – Computer Science Education, 2011
This article presents an investigation into the usage of shareable feedback tags as a way of delivering feedback to three different cohorts of programming students. A series of research questions are examined; these include investigating any perceived benefit from students using feedback tags and exploring how students interact with their…
Descriptors: Feedback (Response), Programming, Investigations, Student Behavior
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Luxton-Reilly, Andrew; Denny, Paul – Computer Science Education, 2010
We present an innovative pedagogical approach that we call "constructive evaluation," which shifts students from being consumers of knowledge to participants in a community of peers engaged in actively producing and sharing knowledge. Students are required to author a question that assesses one or more of the learning outcomes of a course. In…
Descriptors: Feedback (Response), Learning Theories, Item Banks, Educational Resources
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Boyer, Kristy Elizabeth; Phillips, Robert; Wallis, Michael D.; Vouk, Mladen A.; Lester, James C. – Computer Science Education, 2009
The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and may reveal important instructional interventions that could benefit student engagement and…
Descriptors: Computer Science Education, Tutoring, Student Motivation, Learning Processes
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Tenenberg, Josh; Murphy, Laurie – Computer Science Education, 2005
This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Prior Learning