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Gregor Große-bölting; Dietrich Gerstenberger; Lara Gildehaus; Andreas Mühling; Carsten Schulte – ACM Transactions on Computing Education, 2023
The disciplinary identity as a computer science student has recently received increasing attention as a well-developed subject identity can help with increasing retention, interest, and motivation. Besides, identity theory can serve as an analytical lens for issues around diversity. However, identity is also often perceived as a vague, overused…
Descriptors: Computer Science, Computer Science Education, Students, Computer Uses in Education
Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi – ACM Transactions on Computing Education, 2024
We conducted a systematic literature review on automated grading and feedback tools for programming education. We analysed 121 research papers from 2017 to 2021 inclusive and categorised them based on skills assessed, approach, language paradigm, degree of automation, and evaluation techniques. Most papers assess the correctness of assignments in…
Descriptors: Automation, Grading, Feedback (Response), Programming
Stephanie Yang; Miles Baird; Eleanor O’Rourke; Karen Brennan; Bertrand Schneider – ACM Transactions on Computing Education, 2024
Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects--negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and…
Descriptors: Computer Science Education, Troubleshooting, Programming, Teaching Methods
Fujiko Robledo Yamamoto; Lecia Barker; Amy Voida – ACM Transactions on Computing Education, 2023
The benefits of service learning in computer and information science (CIS) are believed to be significant, ranging from providing students with real-world experiences to retaining students to positively impacting community partners. Although there are many benefits of service learning, the CIS domain does impose unique costs for integrating…
Descriptors: College Students, Computer Science Education, Information Science, Service Learning
Noelle Brown; Benjamin Xie; Ella Sarder; Casey Fiesler; Eliane S. Wiese – ACM Transactions on Computing Education, 2024
The computing education research community now has at least 40 years of published research on teaching ethics in higher education. To examine the state of our field, we present a systematic literature review of papers in the "Association for Computing Machinery" computing education venues that describe teaching ethics in higher-education…
Descriptors: Ethics, Computer Science Education, Higher Education, Teaching Methods
Jonathan Liu; Seth Poulsen; Erica Goodwin; Hongxuan Chen; Grace Williams; Yael Gertner; Diana Franklin – ACM Transactions on Computing Education, 2025
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…
Descriptors: Teaching Methods, Algorithms, Design, Computer Science Education
Sharmin, Sadia – ACM Transactions on Computing Education, 2022
Computer science is a fast-growing field in today's digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate…
Descriptors: Creativity, Computer Science Education, Literature Reviews, Introductory Courses
Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
Kaiyue Jia; Teresa H. M. Leung; Ngai Yan Irene Cheung; Yixun Li; Junnan Yu – ACM Transactions on Computing Education, 2025
The increasing prevalence of AI in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children's AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for…
Descriptors: Computer Science Education, Digital Literacy, Artificial Intelligence, Children
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
Anne-Kathrin Peters; Rafael Capilla; Vlad Constantin Coroama; Rogardt Heldal; Patricia Lago; Ola Leifler; Ana Moreira; João Paulo Fernandes; Birgit Penzenstadler; Jari Porras; Colin C. Venters – ACM Transactions on Computing Education, 2024
Research shows that the global society as organized today, with our current technological and economic system, is impossible to sustain. We are living in an era in which human activities in highly industrialized countries are responsible for overshooting several planetary boundaries, with poorer communities contributing the least to the problems…
Descriptors: Computer Science Education, Sustainability, Educational Research, Educational Practices
Heckman, Sarah; Carver, Jeffrey C.; Sherriff, Mark; Al-zubidy, Ahmed – ACM Transactions on Computing Education, 2022
Context: Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly…
Descriptors: Computer Science Education, Educational Research, Periodicals, Replication (Evaluation)
Paiva, José Carlos; Leal, José Paulo; Figueira, Álvaro – ACM Transactions on Computing Education, 2022
Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…
Descriptors: Automation, Computer Assisted Testing, Student Evaluation, Computer Science Education
Lukkarinen, Aleksi; Malmi, Lauri; Haaranen, Lassi – ACM Transactions on Computing Education, 2021
During the past two decades, "event-driven programming" (EDP) has emerged as a central and almost ubiquitous concept in modern software development: Graphical user interfaces are self-evident in most mobile and web-based applications, as well as in many embedded systems, and they are most often based on reacting to events. To facilitate…
Descriptors: Programming, Computer Science Education, Computer Software, Literature Reviews
Taipalus, Toni; Seppänen, Ville – ACM Transactions on Computing Education, 2020
Structured Query Language (SQL) skills are crucial in software engineering and computer science. However, teaching SQL effectively requires both pedagogical skill and considerable knowledge of the language. Educators and scholars have proposed numerous considerations for the betterment of SQL education, yet these considerations may be too numerous…
Descriptors: Programming Languages, Computer Science Education, Literature Reviews, Learning Activities
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