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Abdulrahman Alshammari – ProQuest LLC, 2024
A critical component of modern software development practices, particularly continuous integration (CI), is the halt of development activities in response to test failures which requires further investigation and debugging. As software changes, regression testing becomes vital to verify that new code does not affect existing functionality.…
Descriptors: Computer Software, Programming, Coding, Test Reliability
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Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Haensel, Maria; Schmitt, Thomas M.; Bogenreuther, Jakob – Journal of Science Education and Technology, 2023
Agent-based modeling is a promising tool for familiarizing students with complex systems as well as programming skills. Human-environment systems, for instance, entail complex interdependencies that need to be considered when modeling these systems. This complexity is often neglected in teaching modeling approaches. For a heterogeneous group of…
Descriptors: Graduate Students, Foreign Countries, Programming, Models
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Karnalim, Oscar; Simon; Chivers, William – IEEE Transactions on Learning Technologies, 2023
We have recently developed an automated approach to reduce students' rationalization of programming plagiarism and collusion by informing them about the matter and reporting uncommon similarities to them for each of their submissions. Although the approach has benefits, it does not greatly engage students, which might limit those benefits. To…
Descriptors: Gamification, Programming, Plagiarism, Cooperative Learning
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Li, Qiang; Liu, Ze-xue; Wang, Peng; Wang, Jing-jing; Luo, Tian – Education and Information Technologies, 2023
Computational thinking (CT) and design thinking (DT) are critical tools for students to improve their problem-solving abilities. CT is most commonly used in science and technology fields such as computer science and mathematics, whereas DT is more commonly used in the design field. This study evaluates the impact of art programming education on…
Descriptors: College Students, Art Education, Design, Thinking Skills
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Abou Naaj, Mahmoud; Nachouki, Mirna – Journal of Further and Higher Education, 2023
Plagiarism in programming assignments is a common and current challenge. However, insufficient studies have examined plagiarism in the Middle East region. Thus, this research surveyed 422 students from a middle eastern university. It primarily purported to assess the students' perception of plagiarism in writing programming assignments.…
Descriptors: Ethics, Student Behavior, Programming, Plagiarism
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Seckin-Kapucu, Munise – Journal of Education in Science, Environment and Health, 2023
This study aims to examine the methodological trends and findings in studies on robotic coding in science education published between 2015-2022 comprehensively and holistically. For this purpose, the articles related to the subject were systematically reviewed. In addition, web of Science and SCOPUS databases were scanned for keywords related to…
Descriptors: Robotics, Coding, Programming, Research Methodology
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Siti Khadijah Mohamad; Zaidatun Tasir; Ibnatul Jalilah Yusof – Journal of Information Technology Education: Research, 2023
Aim/Purpose: Despite the growing interest in reflection, there is an issue regarding how to fortify the linkages between a learning experience and the reflection activity that follows it, as experience on its own is not the key to learning. In addition, studies have also shown that students are not able to transfer the newly acquired knowledge…
Descriptors: Electronic Publishing, Web Sites, Reflective Teaching, Graduate Students
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Huang, Joey; Parker, Miranda C. – Computer Science Education, 2023
Background and Context: Computational thinking (CT) is a critical part of computing education in middle school. The existing practices of collaboration and collaborative design activities at this education level pairs well with CT practices, but this interaction has previously been under-explored in the existing literature. Objective: In this…
Descriptors: Computation, Thinking Skills, Cooperative Learning, Skill Development
Julie Marie Smith – ProQuest LLC, 2023
The purpose of this study is to analyze which behaviors are or are not helpful for debugging when a novice is in a state of unproductive persistence. Further, this project will exploratorily use a variety of analytical techniques -- including association rule mining, process mining, frequent sequence mining, and machine learning-- in order to…
Descriptors: Employees, Programming, Novices, Persistence
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Jirí Vanícek; Václav Dobiáš; Václav Šimandl – Informatics in Education, 2023
The article describes a study carried out on pupils aged 12-13 with no prior programming experience. The study examined how they learn to use loops with a fixed number of repetitions. Pupils were given a set of programming tasks to solve, without any preparatory or accompanying instruction or explanation, in a block-based visual programming…
Descriptors: Secondary School Students, Misconceptions, Programming, Concept Formation
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Koupritzioti, Dimitra; Xinogalos, Stelios – Education and Information Technologies, 2020
Serious games or educational games have attracted the interest of instructors and researchers for several years. In the field of education, serious games are being used for motivating students, attracting their interest in cognitively demanding fields and making the teaching and learning process more fun. Moreover, learning through implementing…
Descriptors: Educational Games, Mathematics Activities, Mathematics Education, Programming
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Olumide, Obe O.; Iyamu, Tiko – International Association for Development of the Information Society, 2020
Computer Programming is believed to have effect on creativity, reasoning, analytic and mathematical skills. This cognitive development is at a cost from both ends of students and teachers of computer programming. Its abstractive nature makes it difficult to teach and learn hence, the enormous hours spent in teaching, learning and developing…
Descriptors: Programming, Cognitive Development, Computer Science Education, Computer Interfaces
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