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Muhammad Fawad Akbar Khan; Max Ramsdell; Erik Falor; Hamid Karimi – International Educational Data Mining Society, 2024
This paper undertakes a thorough evaluation of ChatGPT's code generation capabilities, contrasting them with those of human programmers from both educational and software engineering standpoints. The emphasis is placed on elucidating its importance in these intertwined domains. To facilitate a robust analysis, we curated a novel dataset comprising…
Descriptors: Artificial Intelligence, Automation, Computer Science Education, Programming
Ruohan Liu; Jennifer L. Maeng; Shanan C. Moots; Joanna K. Garner – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This randomized control trial evaluated the impact of a year-long professional development (PD) program on elementary teachers' CS content knowledge, self-efficacy, and CS implementation. It also investigated teachers' PD experiences and expectations. The findings suggest that treatment teachers' self-efficacy for teaching CS significantly…
Descriptors: Elementary School Teachers, Capacity Building, Faculty Development, Computer Science Education
Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; R. Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rose – British Journal of Educational Technology, 2025
The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…
Descriptors: Cooperative Learning, Reflection, College Students, Computer Science Education
Aoife Hennessy; Kieran Murphy – Irish Educational Studies, 2025
The importance of student engagement is long recognised. Students who are more engaged will be more motivated and inclined to complete their studies. The aim of this study is to understand barriers to engagement for first-year computing students, a cohort that traditionally have high non-progression rates. A qualitative descriptive design was…
Descriptors: Barriers, Learner Engagement, Computer Science Education, College Freshmen
Sarah Matthews; Maria Nicholas; Lisa Kervin; Louise Paatsch; Peta Wyeth – Education and Information Technologies, 2025
Computational Thinking (CT) is recognised as an essential foundational skill that enhances problem-solving abilities and is a crucial learning area for effective engagement in an increasingly digital society. This paper highlights the significance of screen-less tangible tools in promoting young children's exploration and open-ended play with…
Descriptors: Thinking Skills, Computer Science Education, Infants, Toddlers
Human Aspects of Cyber Security for Computing Higher Education: Current Status and Future Directions
Kaie Maennel; Olaf Maennel – ACM Transactions on Computing Education, 2025
The human aspects of cyber security are fundamental as these are interlinked with processes and technology in building resilience against an evolving and complex threat landscape. It is vital to teach future cyber security specialists sufficient knowledge about human aspects in order to strengthen the defences and defend against malicious actors.…
Descriptors: Computer Security, Computer Science Education, College Curriculum, Teaching Methods
Neil C. C. Brown; Pierre Weill-Tessier; Juho Leinonen; Paul Denny; Michael Kölling – ACM Transactions on Computing Education, 2025
Motivation: Students learning to program often reach states where they are stuck and can make no forward progress--but this may be outside the classroom where no instructor is available to help. In this situation, an automatically generated next-step hint can help them make forward progress and support their learning. It is important to know what…
Descriptors: Artificial Intelligence, Programming, Novices, Technology Uses in Education
Austin T. Stroud – Journal of Education for Library and Information Science, 2025
Computer programming languages play a crucial role in the education and training of librarians. This study examines the extent to which ALA-accredited online Master of Library and Information Science (MLIS) programs integrate programming languages into their curricula. Using a mixed-methods approach, data were collected from program websites,…
Descriptors: Masters Programs, Library Education, Online Courses, Programming Languages
Diana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran – Cambridge University Press & Assessment, 2025
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Expertise
Mouna Denden; Ahmed Mohamed Fahmy Yousef; Ahmed Tlili; Ronghuai Huang; Ahmed Hosny Saleh Metwally; Haijun Zeng; Huanhuan Wang; Rustam Shadiev – Open Praxis, 2025
Despite the importance of gamification in education, there is still ongoing debate in the literature about how to design effective and useful educational gamification. This is because gamification is a complex concept that requires combining various game elements together. To further contribute to this discussion, this study first develops a…
Descriptors: Gamification, Educational Games, Design, College Students
Molly Domino; Bob Edmison; Stephen H. Edwards; Rifat Sabbir Mansur; Alexandra Thompson; Clifford A. Shaffer – Computer Science Education, 2025
Background and Context: Self-regulated learning (SRL) skills are critical aspect of learning to program and are predictive of academic success. Early college students often struggle to use these skills, but can improve when given targeted instruction. However, it is not yet clear what skills are best to prioritize. Objective: We seek to create a…
Descriptors: Metacognition, Programming, Computer Science Education, College Students
Anna Rechtácková; Radek Pelánek; Tomáš Effenberger – ACM Transactions on Computing Education, 2025
Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…
Descriptors: Programming, Computer Science Education, Error Patterns, Automation
Farjudian, Amin – IEEE Transactions on Education, 2023
Contribution: Using threshold concepts as the framework for curriculum design, a project on neural network methods for solving differential equations is presented, with a rich set of transformative concepts from mathematics and computer science. Projects of this kind complement a typical curriculum with expertise that is crucial for critique and…
Descriptors: Mathematics Education, Computer Science Education, Concept Formation, Curriculum Development
Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
Jessica Yauney; Scott R. Bartholomew; Peter Rich – Computer Science Education, 2023
Background and Context: Hour of Code is one of the largest educational campaigns implemented. It exposes millions of learners, to an hour of computer science fundamentals. With such a large impact, a large number of research articles have been published on the topic. This research ranges from reports of experiments testing the efficacy of Hour of…
Descriptors: Computer Science Education, Mass Instruction, Instructional Effectiveness, Educational Research

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