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Direct linkPaul Mayer; Rich Baraniuk – ACM Transactions on Computing Education, 2025
It is argued that logic, and in particular mathematical logic, should play a key role in the undergraduate curriculum for students in the computing fields, which include electrical engineering (EE), computer engineering (CE), and computer science (CS). This is based on (1) the history of the field of computing and its close ties with logic, (2)…
Descriptors: Teaching Methods, Logical Thinking, Computer Science Education, Engineering Education
Olaperi Okuboyejo; Sigrid Ewert; Ian Sanders – ACM Transactions on Computing Education, 2025
Regular expressions (REs) are often taught to undergraduate computer science majors in the Formal Languages and Automata (FLA) course; they are widely used to implement different software functionalities such as search mechanisms and data validation in diverse fields. Despite their importance, the difficulty of REs has been asserted many times in…
Descriptors: Automation, Feedback (Response), Error Patterns, Error Correction
Dorian Stoilescu; Andreea Molnar – ACM Transactions on Computing Education, 2025
This article explores differences between women's and men's views on teaching and learning in undergraduate computer science studies at a Canadian university. The research focuses on perceptions and experiences about learning activities and teaching computer science and how students and teachers view these aspects as valuable for these activities.…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Preferences
Deepti Reddy Patil; Sridhar Iyer; Sasikumar – ACM Transactions on Computing Education, 2025
Design problems are often ill-structured as the requirements are broadly defined and have multiple correct solutions. Experts solve such problems by applying various cognitive and metacognitive skills before the formal specifications and solution designs are documented. Novices often need help solving ill-structured design problems as they lack…
Descriptors: Educational Environment, Problem Solving, Design, Technology Uses in Education
Sophia Krause-Levy; Andrew Petersen; Oladele Oladunjoye Campbell; William G. Griswold; Leo Porter; Oluwatoyin Adelakun-Adeyemo; Jennifer Campbell; Michelle Craig; Adrienne Decker; Sebastian Dziallas; Carrie Demmans Epp; David R. Gibson; Yekaterina Kharitonova; Devorah Kletenik; David L. Largent; Emma McDonald; Brian M. McSkimming; Tina L. Peterson; Caroline Sih; Cynthia Taylor; Neena Thota – ACM Transactions on Computing Education, 2025
Motivation: In computing, Impostor Phenomenon (IP) has been viewed as a problem for many years, but little research has been done to show its prevalence. In 2020, IP in computing began to be explored at single institutions. The results showed that IP is prevalent among undergraduate and graduate students in computing courses and that the rates of…
Descriptors: Computer Science Education, Higher Education, College Students, Self Concept
Counter-Hegemonic Computing: Toward Computer Science Education for Value Generation and Emancipation
Eglash, Ron; Bennett, Audrey; Cooke, Laquana; Babbitt, William; Lachney, Michael – ACM Transactions on Computing Education, 2021
Students' lives, both in and out of school, are full of different forms of value. Wealthy students enjoy value in the form of financial capital; their fit to hegemonic social practices; excellent health care and so on. Low-income students, especially those from African American, Native American, and Latinx communities, often lack access to those…
Descriptors: Computer Science Education, African American Community, Cultural Influences, Community Development
Duran, Rodrigo; Sorva, Juha; Seppälä, Otto – ACM Transactions on Computing Education, 2021
We propose a framework for identifying, organizing, and communicating learning objectives that involve program semantics. In this framework, detailed learning objectives are written down as rules of program behavior (RPBs). RPBs are teacher-facing statements that describe what needs to be learned about the behavior of a specific sort of programs.…
Descriptors: Behavioral Objectives, Computer Science Education, Programming, Evaluation Criteria
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Jens Dörpinghaus; Johanna Binnewitt; David Samray; Kristine Hein – ACM Transactions on Computing Education, 2024
Objectives: The purpose of this study is to reveal the importance of informatics in continuing vocational education in Germany. The labour market is a field with diverse data structures and multiple applications, for example connecting jobseekers and trainings or jobs. The labour market heavily relies on vocational education and training and…
Descriptors: Foreign Countries, Information Science Education, Computer Science Education, Vocational Education
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
Aditya Johri – ACM Transactions on Computing Education, 2025
Computing education has historically sought to align the education students receive in their formal programs with the proficiency required to succeed in the workplace. In recent years, research in this area has focused on "dispositions" which are affective qualities that are integral to completing work tasks and a component of…
Descriptors: Computer Science Education, Lifelong Learning, Workplace Learning, Informal Education
Cameron L. Roberts; Michael S. Horn – ACM Transactions on Computing Education, 2025
In recent years, the intersection of music and coding has emerged as a cross-disciplinary approach to engage learners in both musical and computational expression. This article examines the motivations and framing of recent music and coding research through an analysis of 65 articles published between 2004 and 2024. We survey the key findings of…
Descriptors: Literature Reviews, Coding, Music, Music Education
Kather, Philipp; Duran, Rodrigo; Vahrenhold, Jan – ACM Transactions on Computing Education, 2022
Previous studies on writing and understanding programs presented evidence that programmers beyond a novice stage utilize plans or plan-like structures. Other studies on code composition showed that learners have difficulties with writing, reading, and debugging code where interacting plans are merged into a short piece of code. In this article, we…
Descriptors: Eye Movements, Coding, Algorithms, Schemata (Cognition)
Akdur, Deniz – ACM Transactions on Computing Education, 2023
Many practitioners might struggle with becoming productive in different software engineering (SE) roles due to misalignment of the skills learnt during the university time with what is expected in the industry. Companies spend significant resources to train the personnel, whose academic backgrounds are not only based on "computing…
Descriptors: Computer Software, Computer Science Education, Skill Development, Employment Potential
