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Mehmet Ceylan; Durmus Aslan – Education and Information Technologies, 2024
This study was conducted to investigate the effects of learning trajectories-based coding (LTs) and LTs-based program on preschoolers' length, area, volume, and angle measurement skills. A quasi-experimental research design was utilized with a quantitative approach. The study's participants were 47 children between the ages of 55-71 months who…
Descriptors: Learning Trajectories, Coding, Mathematics Skills, Measurement Techniques
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Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
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Xin Gong; Shufan Yu; Jie Xu; Ailing Qiao; Han Han – Education and Information Technologies, 2024
Tangible programming combines the advantages of object manipulation with programmable hardware, which plays an essential role in improving programming skills. As a tool for ensuring the quality of projects and improving learning outcomes, the PDCA cycle strategy is conducive to cultivating reflective thinking. However, there is still a lack of…
Descriptors: Programming, Computer Science Education, Outcomes of Education, Reflection
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W. Paige Hall; Kevin Cantrell – Journal of Chemical Education, 2024
Human-driven carbon emissions have resulted in increased levels of dissolved carbon dioxide in the Earth's oceans. This dissolved carbon dioxide reacts with water to form carbonic acid, which impacts ocean acidity as well as the solubility of carbonate-containing compounds, with far-reaching impacts on marine ecosystems and the human communities…
Descriptors: Programming Languages, Computer Science Education, Chemistry, Marine Biology
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Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
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Oscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
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Belén Ramírez de Arellano Falcón; Javier del Olmo-Muñoz; Ramón Cózar-Gutiérrez; José Antonio González-Calero – Asia Pacific Education Review, 2025
Computational thinking is becoming an essential skill in educational systems. There is, however, still a great deal to learn about it. This research aims to evaluate whether the inclusion of a specific material (Junior School Bebras Cards) favors the development of primary students' computational thinking skills. For this purpose, 37 fourth-grade…
Descriptors: Thinking Skills, Computer Science Education, Game Based Learning, Outcomes of Education
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Rui Pinto; Rolando Martins; Carlos Novo – Journal of Cybersecurity Education, Research and Practice, 2024
An organization's infrastructure rests upon the premise that cybersecurity professionals have specific knowledge in administrating and protecting it against outside threats. Without this expertise, sensitive information could be leaked to malicious actors and cause damage to critical systems. In order to facilitate this process, the presented work…
Descriptors: Computer Science Education, Information Security, Computer Security, Vignettes
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André Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
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Gerard Dummer; Elwin Savelsbergh; Paul Drijvers – Informatics in Education, 2025
Programmed control systems are ubiquitous in the present-day world. In current educational practice, however, these systems are hardly being addressed, and little is known about children's spontaneous understandings about such systems. Therefore, we explored pupils' understandings prior to instruction in three concrete settings: a car park, an…
Descriptors: Elementary School Students, Grade 3, Grade 6, Computer Science Education
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Dagyeom Lee; Youngjun Lee – Informatics in Education, 2024
As our society has advanced in the era of digital transformation, education has been transformed from knowledge-centered to competency-centered to solve future problems in the light of unpredictable changes and events in our lives. Programming education provides the basic knowledge needed, and fosters higher-order thinking skills in the process of…
Descriptors: Problem Solving, Computer Science Education, Programming, Thinking Skills
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Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
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Ceren Ocak; Katherine Walters; Theodore J. Kopcha – TechTrends: Linking Research and Practice to Improve Learning, 2024
In this article, we present a conceptual framework for teaching computer science (CS) to address the unique challenges faced by marginalized groups. The framework is grounded in feminist standpoint theory and describes three key practitioner-focused areas aimed at broadening participation and increasing participation in CS education (CSEd). These…
Descriptors: Computer Science Education, Power Structure, Disadvantaged, Barriers
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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