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Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Seungmin Lee – Educational Technology Research and Development, 2025
This study investigated the effectiveness of localized learning content (LLC) in enhancing computational thinking (CT) skills and learning motivation among 6th-grade elementary school students in Busan, South Korea. In contrast to conventional methodological approaches, our research focuses on the transformative power of culturally and…
Descriptors: Computer Software, Computer Uses in Education, Computer Science Education, Computation
Andreas Marougkas; Christos Troussas; Akrivi Krouska; Cleo Sgouropoulou – Smart Learning Environments, 2025
Virtual Reality has proven to be highly promising within the field of learning. Most VR learning methods do not effectively implement pedagogical models or adapt to the individual's learning style. This research aims to bridge this gap by integrating Fuzzy Cognitive Maps (FCMs), Flow Theory and Gamification within an educational Virtual Reality…
Descriptors: Computer Simulation, Computer Games, Educational Games, Computer Science Education
Incorporating Coding into the Classroom: An Important Component of Modern Bioinformatics Instruction
Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
Radek Pelánek – ACM Transactions on Computing Education, 2025
Learning environments for programming education need a comprehensive task set that guides students from basic programming concepts to complex challenges. For creating such a task set, it is beneficial to utilize the concept of a design space--a systematic mapping of design dimensions and choices along these dimensions. We propose an iterative…
Descriptors: Computer Science Education, Programming, Design, Task Analysis
Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Afaf A. Baabdullah; ChanMin Kim – International Association for Development of the Information Society, 2025
Understanding of code is critical for debugging computer programs. Chunking, breaking code into smaller parts, has been proven to be an effective strategy for analyzing code at various levels of abstraction. Novice debuggers struggle to comprehend code and recognize its underlying structure and components. They often debug code in an arbitrary and…
Descriptors: Computer Science Education, Programming, Novices, Cooperative Learning
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Rajagopal Sankaranarayanan; Mohan Yang; Kyungbin Kwon – Journal of Computing in Higher Education, 2025
The purpose of this study is to explore the influence of the microlearning instructional approach in an online introductory database programming classroom. The ultimate goal of this study is to inform educators and instructional designers on the design and development of microlearning content that maximizes student learning. Grounded within the…
Descriptors: Teaching Methods, Introductory Courses, Databases, Programming
Tang Wee Teo; Sherwin John San Buenaventura Mabulo; Kim Chwee Daniel Tan; Jin Xin Matilda Ho; Xue Xian Thea Tan – Journal of Science Education and Technology, 2025
STEM (science, technology, engineering, mathematics) hackathons have been conducted to offer opportunities for diverse participants to work collaboratively and intensely on tasks within a short period. However, most literature about hackathons does not offer theoretical discussions on the affordances of such learning contexts for school students.…
Descriptors: Epistemology, STEM Education, Computer Security, Programming
Sebastian Mateos Nicolajsen; Sofie Nielsen; Louise Meier Carlsen; Claus Brabrand – Higher Education: The International Journal of Higher Education Research, 2025
Decades of technological development and innovation have led to an unprecedented digitalization of society. Graduates entering the modern workforce now need better computational competences. Higher education is thus forced to adapt and consider how to support these demands. To support educators in making decisions regarding "how" to…
Descriptors: Foreign Countries, Programming, Computer Science Education, Higher Education
W. Monty Jones; Katherine Hansen; Douglas Lusa Krug; Michael L. Schad; Nakisha Whittington; Xun Liu – Computer Science Education, 2025
Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes
Ragad M. Tawafak; Waleed Mugahed Al-Rahmi; Abdulrahman Alshimai; Ibrahim Yaussef Alyoussef; Ayad Aldaijy – Contemporary Educational Technology, 2025
The importance of gameplay extends beyond mere entertainment, playing a crucial role in shaping behavioral intentions (BIs) in various contexts. This research aims to discover how digital gameplay influences students' BIs, mainly in the context of technology adoption in education. The main objective is to investigate the impact of digital gameplay…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Computer Games
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance

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