Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 13 |
Since 2006 (last 20 years) | 13 |
Descriptor
Computer Science Education | 13 |
Student Behavior | 13 |
College Students | 7 |
Foreign Countries | 6 |
Programming | 6 |
Student Attitudes | 6 |
Computer Software | 4 |
Academic Achievement | 3 |
Barriers | 3 |
Plagiarism | 3 |
Teaching Methods | 3 |
More ▼ |
Source
ACM Transactions on Computing… | 13 |
Author
Ahadi, Alireza | 1 |
Alannah Oleson | 1 |
Albluwi, Ibrahim | 1 |
Altadmri, Amjad | 1 |
Amy J. Ko | 1 |
Anael Kuperwajs Cohen | 1 |
Billingsley, William | 1 |
Brown, Neil C. C. | 1 |
Celis Rangel, Jakeline G. | 1 |
Chivers, William | 1 |
Daniel Gooch | 1 |
More ▼ |
Publication Type
Journal Articles | 13 |
Reports - Research | 9 |
Reports - Evaluative | 2 |
Tests/Questionnaires | 2 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 9 |
Postsecondary Education | 9 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shao-Heng Ko; Kristin Stephens-Martinez – ACM Transactions on Computing Education, 2025
Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…
Descriptors: Computer Science Education, College Students, Help Seeking, Student Behavior
Karnalim, Oscar; Simon; Chivers, William; Panca, Billy Susanto – ACM Transactions on Computing Education, 2022
To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…
Descriptors: Computer Science Education, Programming, Plagiarism, Formative Evaluation
Albluwi, Ibrahim – ACM Transactions on Computing Education, 2020
This article is a systematic review of work in the computing education literature on plagiarism. The goal of the review is to summarize the main results found in the literature and highlight areas that need further work. Despite the the large body of work on plagiarism, no systematic reviews have been published so far. The reviewed papers were…
Descriptors: Plagiarism, Ethics, Student Behavior, Student Attitudes
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
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Anael Kuperwajs Cohen; Alannah Oleson; Amy J. Ko – ACM Transactions on Computing Education, 2024
Collaboration is an important aspect of computing. In a classroom setting, working with others can increase a student's motivation to attempt more challenges, reduce the difficulty of complicated concepts, and bring about greater overall success. Despite extensive research in other domains, there has been minimal exploration within computing on…
Descriptors: College Students, Help Seeking, Student Behavior, Programming
Celis Rangel, Jakeline G.; King, Melissa; Muldner, Kasia – ACM Transactions on Computing Education, 2020
Learning to program requires perseverance, practice, and the mindset that programming skills are improved through these activities (i.e., that everyone has the potential to become good at programming). In contrast to an entity mindset, individuals with an incremental mindset believe that ability is malleable and can be improved with effort. Prior…
Descriptors: Intervention, Cognitive Structures, Programming, Learning Activities
Ahadi, Alireza; Hellas, Arto; Lister, Raymond – ACM Transactions on Computing Education, 2017
We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online…
Descriptors: Data Analysis, Online Courses, Computer Science Education, Programming
Vrieler, Tina; Salminen-Karlsson, Minna – ACM Transactions on Computing Education, 2022
The aim of this conceptual article is to provide a framework and a lens for educators in diversifying and making CS education more inclusive. In this article, we conceptualize the notion of computer science capital (CSC), which extends Bourdieu's sociological theory of capital and Archer et al.'s work on "science capital." The CSC…
Descriptors: Sociocultural Patterns, Computer Science Education, Teaching Methods, Inclusion
Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
Billingsley, William; Torbay, Rosemary; Fletcher, Peter R.; Thomas, Richard N.; Steel, Jim R. H.; Süß, Jörn Guy – ACM Transactions on Computing Education, 2019
One of the challenges of global software engineering courses is to bring the practices and experience of large geographically distributed teams into the local and time-limited environment of a classroom. Over the last 6 years, an on-campus studio course for software engineering has been developed at the University of Queensland (UQ) that places…
Descriptors: Computer Science Education, Universities, Undergraduate Students, Teaching Methods
Pappas, Ilias O.; Giannakos, Michail N.; Jaccheri, Letizia; Sampson, Demetrios G. – ACM Transactions on Computing Education, 2017
This study uses complexity theory to understand the causal patterns of factors that stimulate students' intention to continue studies in computer science (CS). To this end, it identifies gains and barriers as essential factors in CS education, including motivation and learning performance, and proposes a conceptual model along with research…
Descriptors: Intention, Student Behavior, Computer Science Education, Barriers
Vivian, Rebecca; Falkner, Katrina; Falkner, Nickolas; Tarmazdi, Hamid – ACM Transactions on Computing Education, 2016
Although teamwork has been identified as an essential skill for Computer Science (CS) graduates, these skills are identified as lacking by industry employers, which suggests a need for more proactive measures to teach and assess teamwork. In one CS course, students worked in teams to create a wiki solution to problem-based questions. Through a…
Descriptors: Cooperative Learning, Collaborative Writing, Web 2.0 Technologies, Computer Science Education