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Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
Neutens, Tom; Coolsaet, Kris; Wyffels, Francis – ACM Transactions on Computing Education, 2022
In many countries, computer programming is becoming an integral part of the secondary school curriculum. However, many teachers, especially in the first years of Flemish secondary school, have limited experience with teaching programming. To improve their knowledge about programming, many different types of professional development programs have…
Descriptors: Foreign Countries, Secondary School Curriculum, Computer Science Education, Programming
Christel Sirocchi; Annika Pofantis Ostergren; Alessandro Bogliolo – ACM Transactions on Computing Education, 2024
Digital competence (DC) is a broad set of skills, attitudes, and knowledge for confident, critical, and responsible use of digital technologies in every aspect of life. DC proves essential in the contemporary digital landscape, yet its diffusion is hindered by biases, misunderstandings, and limited awareness. Teaching Informatics in the…
Descriptors: Computer Science Education, Information Science Education, Coding, Digital Literacy
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
Nabor C. Mendonça – ACM Transactions on Computing Education, 2024
The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI's most…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Foreign Countries
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
Abreu, Pedro Henriques; Silva, Daniel Castro; Gomes, Anabela – ACM Transactions on Computing Education, 2019
Low performance of nontechnical engineering students in programming courses is a problem that remains unsolved. Over the years, many authors have tried to identify the multiple causes for that failure, but there is unanimity on the fact that motivation is a key factor for the acquisition of knowledge by students. To better understand motivation, a…
Descriptors: Programming, Engineering Education, Student Motivation, Multiple Choice Tests
Lawlor, Grace; Byrne, Philip; Tangney, Brendan – ACM Transactions on Computing Education, 2020
The provision of all-female computer science outreach programmes is a common strategy used to foster greater interest in the subject for high school aged girls. Based on key factors that affect girls' interest in computer science (CS), outreach programmes often share much in their approach. Nonetheless, there is criticism from a research…
Descriptors: Outreach Programs, Program Effectiveness, Program Evaluation, Evaluation Methods
Yeomans, Lucy; Zschaler, Steffen; Coate, Kelly – ACM Transactions on Computing Education, 2019
Programming skills are an increasingly desirable asset across disciplines; however, learning to program continues to be difficult for many students. To improve pedagogy, we need to better understand the concepts that students find difficult and which have the biggest impact on their learning. Threshold-concept theory provides a potential lens on…
Descriptors: Programming, Student Attitudes, Attitudes, Concept Formation
Marín, B.; Frez, J.; Cruz-Lemus, J.; Genero, M. – ACM Transactions on Computing Education, 2019
Context: Programming courses are compulsory for most engineering degrees, but students' performance on these courses is often not as good as expected. Programming is difficult for students to learn, given that it includes a lot of new, complex, and abstract topics. All of this has led experts to the conclusion that new teaching techniques are…
Descriptors: Programming, Game Based Learning, Engineering Education, College Freshmen
Isomöttönen, Ville; Daniels, Mats; Cajander, Åsa; Pears, Arnold; Mcdermott, Roger – ACM Transactions on Computing Education, 2019
Literature on global employability signifies "enabling" learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of "projects," co-located and distributed, have populated computing curricula for decades and are generally deemed an answer to this…
Descriptors: Employment Qualifications, Student Projects, Student Motivation, Computer Software
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)
Lagus, Jarkko; Longi, Krista; Klami, Arto; Hellas, Arto – ACM Transactions on Computing Education, 2018
The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…
Descriptors: Computer Science Education, Transfer of Training, Programming, Educational Objectives