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Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
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Anshul Shah; Thomas Rexin; Fatimah Alhumrani; William G. Griswold; Leo Porter; Gerald Soosai Raj – ACM Transactions on Computing Education, 2025
Objectives: The traditional, instructor-led form of live coding has been extensively studied, with findings showing that this form of live coding imparts similar learning to static-code examples. However, a concern with Traditional Live Coding is that it can turn into a passive learning activity for students as they simply observe the instructor…
Descriptors: Computer Science Education, Advanced Courses, Active Learning, Programming
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Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
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John Paul P. Miranda; Jaymark A. Yambao – Journal of Education and Learning (EduLearn), 2025
This study explores the novice programmers' intention to use chat generative pretrained transformer (ChatGPT) for programming tasks with emphasis on performance expectancy (PE), risk-reward appraisal (RRA), and decision-making (DM). Utilizing partial least squares structural equation modeling (PLS-SEM) and a sample of 413 novice programmers, the…
Descriptors: Novices, Employees, Programming, Artificial Intelligence
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Zifeng Liu; Wanli Xing; Chenglu Li; Fan Zhang; Hai Li; Victor Minces – Journal of Learning Analytics, 2025
Creativity is a vital skill in science, technology, engineering, and mathematics (STEM)-related education, fostering innovation and problem-solving. Traditionally, creativity assessments relied on human evaluations, such as the consensual assessment technique (CAT), which are resource-intensive, time-consuming, and often subjective. Recent…
Descriptors: Creativity, Elementary School Students, Artificial Intelligence, Man Machine Systems
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Pakiso J. Khomokhoana; Rouxan C. Fouché; Tlholohelo S. Nkalai – Discover Education, 2025
Unified Modelling Language (UML) class diagrams are standard tools in software engineering education, typically analysed for syntactical correctness rather than their communicative dimensions. This study applies semiotic theory to investigate how first-year Bachelor of Computer Information Systems students engage with UML class diagrams as…
Descriptors: Semiotics, Programming Languages, Computer Software, Information Systems
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Andreas Eckert; Päivi Juvonen – Digital Experiences in Mathematics Education, 2025
There is a growing body of knowledge on coding and computational thinking for young students in mathematics education, and several attempts to lower the threshold for learning programming and programming languages have been reported. This study focuses on the challenges of teaching programming in a linguistically heterogeneous classroom by…
Descriptors: Mathematics Education, Programming, Coding, Language Usage
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Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi – ACM Transactions on Computing Education, 2025
Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor, such as the module/class leader, larger cohorts are often assessed by multiple assessors, typically teaching…
Descriptors: Foreign Countries, Grading, Interrater Reliability, Teaching Assistants
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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
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Osman Kayhan; Özgen Korkmaz; Recep Çakir – Computers in the Schools, 2024
The aim of this study is to examine the effects of high school students' perceptions of computational thinking skills and perceptions of logical and mathematical intelligence on their programming self-efficacy. Descriptive survey model as a quantitative research design was used in the research. The data were collected face to face on a voluntary…
Descriptors: Computation, Thinking Skills, Logical Thinking, Self Efficacy
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Nardie Fanchamps; Emily van Gool; Lou Slangen; Paul Hennissen – Education and Information Technologies, 2024
Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is…
Descriptors: Computation, Thinking Skills, Programming, Computer Peripherals
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Selin Urhan; Selay Arkün Kocadere – Educational Technology & Society, 2024
This study investigated the effect of video lecture types on the performance of students in computational problem-solving practices. A total of 19 university students participated in the computational problem-solving practices that mostly required declarative knowledge, and 22 university students participated in the computational problem-solving…
Descriptors: Video Technology, Lecture Method, Problem Solving, Computation
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Niloofar Mansoor; Cole S. Peterson; Michael D. Dodd; Bonita Sharif – ACM Transactions on Computing Education, 2024
Background and Context: Understanding how a student programmer solves different task types in different programming languages is essential to understanding how we can further improve teaching tools to support students to be industry-ready when they graduate. It also provides insight into students' thought processes in different task types and…
Descriptors: Biofeedback, Eye Movements, Computer Science Education, Programming Languages
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Laurence New-Moore; Gusti Agung Ayu Mas Pramitasari – Compare: A Journal of Comparative and International Education, 2024
Following the work of Tamatea and Pramitasari in the Bali Coding Class (2018), we ask if liberal empowerment can sit alongside Bourdieu's social reproduction theory in framing a non-formal education coding class for rural Balinese youth. While a review of critical theory informed literature suggests not, we appropriate the work of Mills to read…
Descriptors: Foreign Countries, Coding, Rural Youth, Nonformal Education
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Gabriela de Carvalho Barros Bezerra; Wilk Oliveira; Ana Cláudia Guimarães Santos; Juho Hamari – ACM Transactions on Computing Education, 2024
Despite recent high interest among researchers and practitioners in learning programming, even the most dedicated learners can struggle to find motivation for studying and practicing programming. Therefore, in recent years, several strategies (e.g., educational games, flipped classrooms, and visual programming languages) have been employed to…
Descriptors: Gamification, Programming, Computer Science Education, Workshops
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