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Showing 1 to 15 of 101 results Save | Export
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Karnalim, Oscar; Simon; Chivers, William – IEEE Transactions on Learning Technologies, 2023
We have recently developed an automated approach to reduce students' rationalization of programming plagiarism and collusion by informing them about the matter and reporting uncommon similarities to them for each of their submissions. Although the approach has benefits, it does not greatly engage students, which might limit those benefits. To…
Descriptors: Gamification, Programming, Plagiarism, Cooperative Learning
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Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
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Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
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Wagler, Adam – Journal of Advertising Education, 2023
What role does advertising play in product development as part of owned media? For three years, a capstone advertising campaign course collaborated with STEM courses to form interdisciplinary teams composed of advertising, engineering, and computer science. The study provides insight into how teams can be more entrepreneurial by building on the…
Descriptors: Advertising, Capstone Experiences, Interdisciplinary Approach, Cooperative Learning
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Chang-Tik, Chan; Dhaliwal, Jasbir – Learning: Research and Practice, 2022
This study examines the participation of the Less Effective Learning Group(LELG) students in Collaborative Learning in Informal Space (CLIS) to gain more insights in two of the five principles of the Framework of Participation. Their participation is based on relationships of mutual recognition and acceptance and participation requires learning to…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Informal Education
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Xu, Weiqi; Wu, Yajuan; Ouyang, Fan – International Journal of Educational Technology in Higher Education, 2023
Pair programming (PP), as a mode of collaborative problem solving (CPS) in computer programming education, asks two students work in a pair to co-construct knowledge and solve problems. Considering the complex multimodality of pair programming caused by students' discourses, behaviors, and socio-emotions, it is of critical importance to examine…
Descriptors: Cooperative Learning, Problem Solving, Computer Science Education, Programming
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Scaturro Heil, Margaret R. – International Association for Development of the Information Society, 2023
A required undergraduate computer science 15-week project course at North Carolina State University, Department of Computer Science, USA, has grown rapidly in 29 years from serving 3 student teams to up to 39 teams. To maintain the integrity of the award-winning program and to facilitate the collaboration of hundreds of students in an academic…
Descriptors: Undergraduate Students, Computer Science Education, Student Projects, Cooperative Learning
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Ella R. Kahu; Heather G. Thomas; Eva Heinrich – Active Learning in Higher Education, 2024
Whether by choice or pushed online by Covid, higher education is increasingly happening in digital spaces with digital tools forming a critical part of learning and teaching contexts. While reviews suggest such tools positively influence student engagement, research tends to be generic and more is needed to understand how and why specific tools…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Information Networks
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Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
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Sarika Tomar; Arundhathi Arundhathi; Shikha Gupta; Mansi Sharma – Journal of Education and Learning (EduLearn), 2024
As universities shifted to online education with the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, both pedagogy and assessment patterns across disciplines underwent a change, with a shift towards collaborative digital assessments. In this context, using qualitative and quantitative methods for data collection from an assessment…
Descriptors: Student Evaluation, Cooperative Learning, Video Technology, Web Sites
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Panagiotis Apostolellis; Jessica Taggart; R. X. Schwartz – European Journal of Engineering Education, 2023
Group projects are expected in contemporary engineering curricula, and yet they often pose a challenge to students and instructors alike. Could making projects personally relevant help? The present study created and tested a conceptual framework regarding the impact of personal relevance on groupwork in a project-based learning (PBL) course. We…
Descriptors: Instructional Effectiveness, Student Projects, Active Learning, Relevance (Education)
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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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Gitinabard, Niki; Gao, Zhikai; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – Journal of Educational Data Mining, 2023
Few studies have analyzed students' teamwork (pairwork) habits in programming projects due to the challenges and high cost of analyzing complex, long-term collaborative processes. In this work, we analyze student teamwork data collected from the GitHub platform with the goal of identifying specific pair teamwork styles. This analysis builds on an…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Student Projects
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Fredriksen, Helge – International Journal of Science and Mathematics Education, 2021
Flipped classroom (FC) pedagogical frameworks have recently gained considerable popularity, especially at secondary school levels. However, there are rich opportunities to explore FC at tertiary levels, but progress on the area requires instructors' attention to well-designed tasks for students' collaborative learning. Realistic Mathematics…
Descriptors: Mathematics Education, Mathematics Instruction, Flipped Classroom, College Mathematics
Fernando J. Rodriguez – ProQuest LLC, 2021
In computer science education, introductory computer programming courses tend to be the most challenging for novices, with higher dropout rates than other computer science courses. Recruitment and retention of students in computer science fields is an important area of focus in computer science education research, and previous research has…
Descriptors: Computer Science Education, Introductory Courses, Programming, Cooperative Learning
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