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Gabriela de Carvalho Barros Bezerra; Wilk Oliveira; Ana Cláudia Guimarães Santos; Juho Hamari – ACM Transactions on Computing Education, 2024
Despite recent high interest among researchers and practitioners in learning programming, even the most dedicated learners can struggle to find motivation for studying and practicing programming. Therefore, in recent years, several strategies (e.g., educational games, flipped classrooms, and visual programming languages) have been employed to…
Descriptors: Gamification, Programming, Computer Science Education, Workshops
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
Angeles Lopez; M. Asunción Castaño; M. Victoria Ibáñez; Ismael Sanz; Lledó Museros; Reyes Grangel – ACM Transactions on Computing Education, 2025
The Bachelor's Degree in Computer Engineering at University Jaume I has a capstone project in which the student develops, during a 300-hour internship in an enterprise, a real-world project. We collected data for five academic years to analyze the assessment process to propose a new hybrid model, which combines analytic and holistic assessment and…
Descriptors: Capstone Experiences, Internship Programs, Student Projects, Undergraduate Students
Pereira, Juanan; Díaz, Óscar – ACM Transactions on Computing Education, 2022
Capstone projects usually represent the most significant academic endeavor with which students have been involved. Time management tends to be one of the hurdles. On top, University students are prone to procrastinatory behavior. Inexperience and procrastination team up for students failing to meet deadlines. Supervisors strive to help. Yet heavy…
Descriptors: Capstone Experiences, Time Management, College Students, Computer Mediated Communication
Perez, Melissa; Garcia, Patricia – ACM Transactions on Computing Education, 2023
Norms and values in computing education are constantly changing as dominant narratives about the role of computing in society evolve over time. Within the current evolving landscape of computing education, researchers and practitioners have advocated for ensuring people from all backgrounds, and particularly women, non-binary, and Black,…
Descriptors: Females, Computer Science Education, Student Experience, Attitudes
Danyelle Tauryce Willis; Kimberley Edelin Freeman – ACM Transactions on Computing Education, 2024
Objectives: We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in computing, and how these vary across institutional contexts. Participants: A sample of 77…
Descriptors: Undergraduate Students, African American Students, Student Motivation, Student Experience
Ayaan M. Kazerouni; Melissa Lee; Aleata Hubbard Cheuoua; Aakash Gautam; Sahar Hooshmand; Paul Salvador Inventado; Eun-Young Kang; Jane Lehr; Yu Sun; Kevin A. Wortman; Ilmi Yoon; Zoë Wood – ACM Transactions on Computing Education, 2025
Background and Context. Computing is considered a fundamental skill for civic engagement, self-expression, and employment opportunity. Despite this, there exist significant equity gaps in post-secondary computing enrollment and retention. Specifically, in the California State University (CSU) system, which serves close to half a million…
Descriptors: Computer Science Education, Social Responsibility, Introductory Courses, Undergraduate Students
Tiffany Tseng; Matt J. Davidson; Luis Morales-Navarro; Jennifer King Chen; Victoria Delaney; Mark Leibowitz; Jazbo Beason; R. Benjamin Shapiro – ACM Transactions on Computing Education, 2024
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…
Descriptors: Artificial Intelligence, Models, Data Processing, Design
Chathura Rajapakse; Wathsala Ariyarathna; Shanmugalingam Selvakan – ACM Transactions on Computing Education, 2024
Objectives: This article explores teacher readiness for introducing artificial intelligence (AI) into Sri Lankan schools, drawing on self-efficacy theory. Similar to some other countries, Sri Lanka plans to integrate AI into the school curriculum soon. However, a key question remains: Are teachers prepared to teach this advanced technical subject…
Descriptors: Foreign Countries, Artificial Intelligence, Teacher Attitudes, Readiness
Lunn, Stephanie; Ross, Monique; Hazari, Zahra; Weiss, Mark Allen; Georgiopoulos, Michael; Christensen, Kenneth – ACM Transactions on Computing Education, 2022
Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…
Descriptors: Educational Experience, Prediction, Identification (Psychology), Computer Science Education
Lyon, Louise Ann; Green, Emily – ACM Transactions on Computing Education, 2021
College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding…
Descriptors: Computer Science Education, Coding, Programming, Females
Ting, Ying; Brockman, Morgan L.; Patil, Sameer – ACM Transactions on Computing Education, 2021
Nearly all software built today impinges upon end-user privacy and needs to comply with relevant regulations. Therefore, there have been increasing calls for integrating considerations of compliance with privacy regulations throughout the software engineering lifecycle. However, software engineers are typically trained in the technical fields and…
Descriptors: Privacy, Capstone Experiences, Computer Software, Instructional Materials
Rosalinda Garcia; Patricia Morreale; Lara Letaw; Amreeta Chatterjee; Pankati Patel; Sarah Yang; Isaac Tijerina Escobar; Geraldine Jimena Noa; Margaret Burnett – ACM Transactions on Computing Education, 2023
What if "regular" Computer Science (CS) faculty each taught elements of inclusive design in "regular" CS courses across an undergraduate curriculum? Would it affect the CS program's climate and inclusiveness to diverse students? Would it improve retention? Would students learn less CS? Would they actually learn any inclusive…
Descriptors: Computer Science Education, Undergraduate Study, College Faculty, Inclusion
Stepanova, Anna; Weaver, Alexis; Lahey, Joanna; Alexander, Gerianne; Hammond, Tracy – ACM Transactions on Computing Education, 2022
Computer science (CS) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer…
Descriptors: Computer Science Education, Majors (Students), Personnel Selection, Employer Attitudes
McGill, Monica; Snow, Eric; Vaval, Luronne; DeLyser, Leigh Ann; Wortel-London, Stephanie; Thompson, Angelica – ACM Transactions on Computing Education, 2023
Research Problem: Computer science (CS) education researchers conducting studies that target high school students have likely seen their studies impacted by COVID-19. Interpreting research findings impacted by COVID-19 presents unique challenges that will require a deeper understanding as to how the pandemic has affected underserved and…
Descriptors: Computer Science Education, COVID-19, Pandemics, Socioeconomic Status
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