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Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Marianthi Grizioti; Chronis Kynigos – Informatics in Education, 2024
Even though working with data is as important as coding for understanding and dealing with complex problems across multiple fields, it has received very little attention in the context of Computational Thinking. This paper discusses an approach for bridging the gap between Computational Thinking with Data Science by employing and studying…
Descriptors: Computation, Thinking Skills, Data Science, Classification
Villamor, Maureen M.; Rodrigo, Ma. Mercedes T. – Research and Practice in Technology Enhanced Learning, 2019
A dual eye tracking experiment was performed on pairs of novice programmers as they traced and debugged fragments of code. These programming pairs were categorized into successful and unsuccessful pairs based on their debugging scores. Cross-recurrence quantification analysis (CRQA), an analysis using cross-recurrence plots (CRP), was used to…
Descriptors: Eye Movements, Programming, Coding, Cooperation
Attard, Lara; Busuttil, Leonard – Informatics in Education, 2020
Programming is one of the most important aspects of a Computing course. Teaching programming is a challenging task due to a number of factors, ranging from lack of student problem solving skills to different teaching methods. This paper focuses on Maltese Computing teachers' perspectives about the difficulties encountered when teaching programming…
Descriptors: Teacher Attitudes, Programming, Electronic Learning, Video Games
Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
Peña, Joslenne; Hanrahan, Benjamin V.; Rosson, Mary Beth; Cole, Carmen – ACM Transactions on Computing Education, 2021
Many initiatives have focused on attracting girls and young women (K-12 or college) to computer science education. However, professional women who never learned to program have been largely ignored, despite the fact that such individuals may have many opportunities to benefit from enhanced skills and attitudes about computer programming. To…
Descriptors: Computer Science Education, Professional Education, Females, Programming
Jennings, Jay; Muldner, Kasia – International Journal of Artificial Intelligence in Education, 2021
When students are first learning to program, they not only have to learn to write programs, but also how to trace them. Code tracing involves stepping through a program step-by-step, which helps to predict the output of the program and identify bugs. Students routinely struggle with this activity, as evidenced by prior work and our own experiences…
Descriptors: Scaffolding (Teaching Technique), Tutors, Tutoring, Programming
Bellino, Alessio; Herskovic, Valeria; Hund, Michael; Munoz-Gama, Jorge – ACM Transactions on Computing Education, 2021
A common belief among students is that computing is a boring subject that lacks a connection to the real world. The first class (one 80-minute session) in an introductory computer science course may be an appropriate instance to combat such a belief. Previous studies have used course-wide interventions, e.g., games and physical/tangible devices to…
Descriptors: Student Motivation, Computer Science Education, Programming, Introductory Courses
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
Ahmed, Danish; Nayeemuddin, Mohammed; Ayadat, Tahar; Asiz, Andi – International Journal of Higher Education, 2021
This paper discusses recent updates and developments of computing-based courses in the civil engineering discipline. Competency in computing is one of the most important capabilities for university graduates to obtain given the rapid development of computer technology in professional work. Civil engineering is no exception. In fact, many…
Descriptors: Competence, Civil Engineering, Engineering Education, College Graduates
Fowler, Megan; Hallstrom, Jason; Hollingsworth, Joseph; Kraemer, Eileen; Sitaraman, Murali; Sun, Yu-Shan; Wang, Jiadi; Washington, Gloria – Informatics in Education, 2021
Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…
Descriptors: Computer Science Education, Coding, Computer Software, Abstract Reasoning
Shibata, Mizuho; Demura, Kosei; Hirai, Shinichi; Matsumoto, Akihiro – IEEE Transactions on Education, 2021
Contribution: The information described in this study provides a starting point for discussing an effective robotics curriculum offered by any engineering university or institute. Background: Robotics is a multidisciplinary field that includes mechanical engineering, electrical and electronic engineering, and computer science. Several universities…
Descriptors: Engineering Education, Robotics, Higher Education, Core Curriculum
Dawar, Deepak – Information Systems Education Journal, 2021
Keeping students motivated during an introductory computer programming can be a challenging task. Looking at its varied complexities, many students who are introduced to computer programming for the first time can easily become demotivated. This work looks at the value-expectancy motivational model of student learning and presents our experiences…
Descriptors: Expectation, Introductory Courses, Programming, Scaffolding (Teaching Technique)
Demir, Ömer; Seferoglu, Süleyman Sadi – Journal of Educational Computing Research, 2021
Cooperative learning manifests itself as pair programming in coding education. There is a limited number of studies experimentally demonstrating that pair programming is effective in the educational context. Therefore, in this study, solo and pair programming were compared in terms of flow experience, coding quality, and coding achievement. The…
Descriptors: Cooperative Education, Programming, Computer Science Education, College Seniors
James D. Stevens – ProQuest LLC, 2021
The ability to efficiently optimize or re-optimize an algorithm for high performance on a particular processor architecture is crucial in a wide spectrum of engineering and scientific applications. To help bridge the gap between fully automated optimization, which does not reliably produce optimal code, and fully manual optimization, which is…
Descriptors: Computation, Programming, Computer Graphics, Automation

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