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Cindy Royal – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) has taken the forefront in discussions of the future of media and education. Although there are valid concerns, AI has the potential to be useful in learning new skills, particularly those related to computer programming. This case study depicts the ways AI was introduced to assist in teaching coding, specifically in a…
Descriptors: Artificial Intelligence, Coding, Programming, Computer Science Education
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
Matthew Mears; Louise Dash; Ross Galloway; Calvin Karpenko; Nicolas Labrosse; Victoria Mason; Mark Quinn – Journal of Science Education and Technology, 2025
Digital proficiency, including coding, is increasingly essential in physics education. However, disparities in coding skills among students are influenced by demographic factors and prior educational exposure. This study examines barriers to pre-university coding exposure for first-year physics students across five UK institutions, proposing a…
Descriptors: Foreign Countries, Coding, Physics, Science Education
Gough, Phillip; Bown, Oliver; Campbell, Craig R.; Poronnik, Philip; Ross, Pauline M. – Biochemistry and Molecular Biology Education, 2023
Biomedical science students need to learn to code. Graduates face a future where they will be better prepared for research higher degrees and the workforce if they can code. Embedding coding in a biomedical curriculum comes with challenges. First, biomedical science students often experience anxiety learning quantitative and computational thinking…
Descriptors: Biomedicine, Coding, Skill Development, Student Attitudes
Oscar Karnalim – Informatics in Education, 2024
Programming students need to be informed about plagiarism and collusion. Hence, we developed an assessment submission system to remind students about the matter. Each submission will be compared to others and any similarities that do not seem a result of coincidence will be reported along with their possible reasons. The system also employs…
Descriptors: Programming, Integrity, Academic Achievement, Plagiarism
Abdüsselam, Mustafa Serkan; Turan-Güntepe, Ebru – International Journal of Computer Science Education in Schools, 2021
This study aims to determine the perceptions of undergraduates, who are receiving coding in a faculty of education, on modal representations employed in the teaching process and identify their transition skills between representations. The research used the quantitative research method, non-experimental design, and descriptive search models,…
Descriptors: Undergraduate Students, Computer Science Education, Coding, Student Attitudes
Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
Sabarinath, Roshni; Quek, Choon Lang Gwendoline – Education and Information Technologies, 2020
Programming in schools is no longer a novel subject. It is now quite commonly found in our schools either in formal or informal curriculum. Programmers use creative learning tactics to solve problems and communicate ideas. Learning to program is generally considered challenging. Developing and implementing new methodologies in teaching programming…
Descriptors: Computer Science Education, Programming, Peer Evaluation, Coding
Timur, Serkan; Timur, Betül; Güvenç, Elif; Us, Ilknur; Yalçinkaya-Önder, Eylem – Acta Didactica Napocensia, 2021
In this study, it was aimed to examine the pre-service pre-school teachers' opinions about using block-based coding/Scratch in education. 28 pre-service pre-school teachers were participated studying at a public university in a Marmara province region. Within the scope of the study, pre-service teachers were trained on the block-based coding…
Descriptors: Preschool Teachers, Preservice Teachers, Coding, State Universities
Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
Werth, Alexandra; West, Colin G.; Lewandowski, H. J. – Physical Review Physics Education Research, 2022
Over the last decade, course-based undergraduate research experiences (CUREs) have been recognized as a way to improve undergraduate science, technology, engineering, and mathematics education by engaging students in authentic discovery. CUREs have been shown to have positive benefits similar to traditional undergraduate research experiences;…
Descriptors: Physics, Science Instruction, COVID-19, Pandemics
Abdunabi, Ramadan; Hbaci, Ilham; Ku, Heng-Yu – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Currently, Information Systems (IS) departments in business schools are moving towards integrating learning to program or code in their undergraduate core courses. Many factors affecting IS student success in learning to program have been identified, but there is still a dearth of knowledge about student perceptions on their own…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Programming