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Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024
Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…
Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses
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Ellie Lovellette; Dennis J. Bouvier; John Matta – ACM Transactions on Computing Education, 2024
In recent years, computing education researchers have investigated the impact of problem context on students' learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research in computer science and other disciplines. The results of this study could help inform…
Descriptors: Computer Science Education, Student Evaluation, Context Effect, Problem Solving
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Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – ACM Transactions on Computing Education, 2021
Active and collaborative learning has shown considerable promise for improving student outcomes and reducing group disparities. As one common form of collaborative learning, pair programming is an adapted work practice implemented widely in higher education computing programs. In the classroom setting, it typically involves two computer science…
Descriptors: Programming, Cooperative Learning, Student Attitudes, Academic Achievement
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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
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Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017
Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…
Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education
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Ahmad, Adnan; Zeshan, Furkh; Khan, Muhammad Salman; Marriam, Rutab; Ali, Amjad; Samreen, Alia – ACM Transactions on Computing Education, 2020
Gamification is the use of game elements in domains other than games. Gamification use is often suggested for difficult activities because it enhances users' engagement and motivation level. Due to such benefits, the use of gamification is also proposed in education environments to improve students' performance, engagement, and satisfaction.…
Descriptors: Educational Games, Educational Objectives, Computer Science Education, Instruction
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Umapathy, Karthikeyan; Ritzhaupt, Albert D. – ACM Transactions on Computing Education, 2017
Several experiments on the effects of pair programming versus solo programming in the context of education have been reported in the research literature. We present a meta-analysis of these studies that accounted for 18 manuscripts with 28 independent effect sizes in the domains of programming assignments, exams, passing rates, and affective…
Descriptors: Programming, Cooperative Learning, Computer Science Education, Educational Practices
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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
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Zhang, Yulei; Dang, Yan – ACM Transactions on Computing Education, 2015
Web development is an important component in the curriculum of computer science and information systems areas. However, it is generally considered difficult to learn among students. In this study,we examined factors that could influence students' perceptions of accomplishment and enjoyment and their intention to learn in the web development…
Descriptors: Computer Science Education, Web Sites, Computer System Design, Student Attitudes
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Zimmerman, Thomas G.; Johnson, David; Wambsgans, Cynthia; Fuentes, Antonio – ACM Transactions on Computing Education, 2011
This article reports on a public school that is succeeding in encouraging Latino high school students to select Computer Science (CS) as a major. The students attend a charter high school designed to encourage low-income Latino students to attend college and attain proficiency in English, Spanish, and computers. Using data from surveys and by…
Descriptors: High Schools, Private Schools, Intervention, Student Interests
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Dahlberg, Teresa; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey – ACM Transactions on Computing Education, 2011
The Students and Technology in Academia, Research, and Service (STARS) Alliance is a nationally-connected system of regional partnerships among higher education, K-12 schools, industry and the community with a mission to broaden the participation of women, under-represented minorities and persons with disabilities in computing (BPC). Each regional…
Descriptors: Grade Point Average, Self Efficacy, Academic Achievement, Leadership