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Lin, Yen-Ting – Educational Technology & Society, 2023
The aim of software engineering education is to educate students in software technologies, developments, procedures, and scientific practices to enable them to cope with industrial demands. However, the implementation of software engineering education in traditional university classrooms is restricted by the semester structure, making it difficult…
Descriptors: Academic Achievement, Electronic Books, Flipped Classroom, Computer Software
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Zhang, Yingbin; Pinto, Juan D.; Fan, Aysa Xuemo; Paquette, Luc – Journal of Educational Data Mining, 2023
The second CSEDM data challenge aimed at finding innovative methods to use students' programming traces to model their learning. The main challenge of this task is how to decide which past problems are relevant for predicting performance on a future problem. This paper proposes a set of weighting schemes to address this challenge. Specifically,…
Descriptors: Problem Solving, Introductory Courses, Computer Science Education, Programming
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Shumway, Jessica F.; Welch, Lise E.; Kozlowski, Joseph S.; Clarke-Midura, Jody; Lee, Victor R. – Mathematical Thinking and Learning: An International Journal, 2023
The purpose of this study was to explore how kindergarten students (aged 5-6 years) engaged with mathematics as they learned programming with robot coding toys. We video-recorded 16 teaching sessions of kindergarten students' (N = 36) mathematical and programming activities. Students worked in small groups (4-5 students) with robot coding toys on…
Descriptors: Kindergarten, Preschool Children, Mathematics Education, Knowledge Level
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Barczak, Andre L. C.; Mathrani, Anuradha; Han, Binglan; Reyes, Napoleon H. – Educational Technology Research and Development, 2023
An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…
Descriptors: Computer Assisted Testing, Automation, Computer Science Education, Programming
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Bodaker, Liat; Rosenberg-Kima, Rinat B. – Journal of Research on Technology in Education, 2023
The COVID-19 pandemic raised the need to examine online learning methods also in young children. This study examined elementary school children's performance and attitudes during and toward an online programming learning activity utilizing the pair-programming Agile method that may foster 21st-century skills, including collaboration and…
Descriptors: Electronic Learning, Cooperative Learning, Programming, Computer Science Education
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Mufeti, Tulimevava Kaunaoawa – International Journal of Education and Development using Information and Communication Technology, 2023
The global spread of the COVID-19 pandemic posed unprecedented challenges to higher education institutions worldwide. As governments announced lockdown measures that placed restrictions and mandatory closures on establishments that traditionally required gatherings, universities worldwide cancelled face-to-face classes and adapted their mode of…
Descriptors: Reflection, Emergency Programs, Distance Education, Electronic Learning
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Henriette Tolstrup Holmegaard; Lene Møller Madsen; Katia Bill Nielsen – European Journal of Engineering Education, 2023
There is a call for more students to continue into computer science (CS), but as many leave their studies before completing, there is a potential in retaining students rather than focusing on recruitment alone. The retention literature proposes 'sense of belonging' as a key concept. This paper contributes with nuancing how sense of belonging is…
Descriptors: Spatial Ability, Sense of Community, College Students, Computer Science Education
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Frank Lee; Clinton Baxter – Information Systems Education Journal, 2023
The Cross Industry Standard Process for Data Mining (CRISP-DM) framework was developed in the 1990s and has been widely used as the most relevant and comprehensive leading principle for conducting analytics projects. Despite the wide acceptance and adoption of the CRISP-DM framework, the current business analytics discipline often focuses on the…
Descriptors: Artificial Intelligence, Court Litigation, Data Analysis, Information Systems
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Esche, Svana; Weihe, Karsten – IEEE Transactions on Education, 2023
Contribution: Most work on languages in computing education currently focuses on non-native speakers. In contrast, to the best of the authors' knowledge, this article is the first response to the call for research on terms that takes into account the terms used by novices in their language. Background: Terms are key factors in communication,…
Descriptors: Programming Languages, Computer Science Education, Misconceptions, Undergraduate Students
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Chang-Tik, Chan; Dhaliwal, Jasbir – Learning: Research and Practice, 2022
This study examines the participation of the Less Effective Learning Group(LELG) students in Collaborative Learning in Informal Space (CLIS) to gain more insights in two of the five principles of the Framework of Participation. Their participation is based on relationships of mutual recognition and acceptance and participation requires learning to…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Informal Education
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Lang, Guido; Sharp, Jason H. – Information Systems Education Journal, 2022
This study aims to shed light on what students like and dislike in coding bootcamps. A qualitative content analysis of student reviews for coding bootcamps was conducted, resulting in a research model and survey instrument consisting of fourteen factors that are proposed to affect coding bootcamp satisfaction. The proposed satisfaction factors…
Descriptors: Coding, Programming, Program Length, Student Satisfaction
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Lian, Victor; Varoy, Elliot; Giacaman, Nasser – IEEE Transactions on Learning Technologies, 2022
Object-oriented programming (OOP) is a widely used programming paradigm in modern software industry. This makes it an essential skill for students in many disciplines to learn. However, OOP is known to be challenging to learn and teach due to its abstract nature. Studies have shown that students often face difficulties and develop misconceptions…
Descriptors: Programming, Computer Science Education, Visualization, Logical Thinking
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Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Journal of Educational Computing Research, 2022
The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students' behavioral patterns in pair programming. The participants of…
Descriptors: Cooperative Learning, Student Behavior, Programming, Computer Science Education
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Wiegand, R. Paul; Bucci, Anthony; Kumar, Amruth N.; Albert, Jennifer; Gaspar, Alessio – ACM Transactions on Computing Education, 2022
In this article, we leverage ideas from the theory of coevolutionary computation to analyze interactions of students with problems. We introduce the idea of "informatively" easy or hard concepts. Our approach is different from more traditional analyses of problem difficulty such as item analysis in the sense that we consider Pareto…
Descriptors: Concept Formation, Difficulty Level, Computer Science Education, Problem Solving
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Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
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