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Showing 1 to 15 of 18 results Save | Export
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Hawlitschek, Anja; Berndt, Sarah; Schulz, Sandra – Computer Science Education, 2023
Background and Context: Pair programming is an important approach to fostering students' programming and collaborative learning skills. However, the empirical findings on pair programming are mixed, especially concerning effective instructional design. Objective: The objective of this literature review is to provide lecturers with systematic…
Descriptors: Cooperative Learning, Programming, Computer Science Education, College Students
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Fujiko Robledo Yamamoto; Lecia Barker; Amy Voida – ACM Transactions on Computing Education, 2023
The benefits of service learning in computer and information science (CIS) are believed to be significant, ranging from providing students with real-world experiences to retaining students to positively impacting community partners. Although there are many benefits of service learning, the CIS domain does impose unique costs for integrating…
Descriptors: College Students, Computer Science Education, Information Science, Service Learning
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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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Balon, Tyler; Baggili, Ibrahim – Education and Information Technologies, 2023
Over the last decade, industry and academia have worked towards raising students' interests in cybersecurity through game-like competitions to fill a shortfall of cybersecurity professionals. Rising interest in video games in combination with gamification techniques make learning fun, easy, and addictive. It is crucial that cybersecurity curricula…
Descriptors: Competition, Computer Security, Information Security, Computer Science Education
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Coto, Mayela; Mora, Sonia; Grass, Beatriz; Murillo-Morera, Juan – Computer Science Education, 2022
Background and context: Emotions are ubiquitous in academic settings and affect learning strategies, motivation to persevere, and academic outcomes, however they have not figured prominently in research on learning to program at the university level. Objective: To summarize the current knowledge available on the effect of emotions on students…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Emotional Response
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Jose Alfredo Díaz-León; Olatz Arbelaitz; Ana Arruarte – Education and Information Technologies, 2024
Within the field of social reintegration and re-education, this paper presents an educational experience carried out at the Iquitos Penitentiary Center, Lima, Peru, with the aim of providing an introduction to informatics to 25 inmates who volunteered to take part in the project. Twenty students and a teacher from the Scientific University of the…
Descriptors: Foreign Countries, Correctional Institutions, Institutionalized Persons, Computer Science Education
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Anna Donhauser; Philipp Bitzenbauer; Linda Qerimi; Stefan Heusler; Stefan Küchemann; Jochen Kuhn; Malte S. Ubben – Physical Review Physics Education Research, 2024
The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Comparative Analysis
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Luan, Hui; Tsai, Chin-Chung – Educational Technology & Society, 2021
In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI technique, machine learning is viewed as an important means to realize it. In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed…
Descriptors: Artificial Intelligence, Individualized Instruction, Individual Differences, Educational Trends
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Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
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Taslibeyaz, Elif; Kursun, Engin; Karaman, Selcuk – Informatics in Education, 2020
The primary purpose of this study is to investigate CT skills development process in learning environments. It is also aimed to determine the conceptual understanding and measurement approaches in the studies. To achieve these aims, a systematic research review methodology was implemented as the research design. Empirical studies on computational…
Descriptors: Thinking Skills, Skill Development, Problem Solving, Programming
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Hu, Yue; Chen, Cheng-Huan; Su, Chien-Yuan – Journal of Educational Computing Research, 2021
Block-based visual programming tools, such as Scratch, Alice, and MIT App Inventor, provide an intuitive and easy-to-use editing interface through which to promote programming learning for novice students of various ages. However, very little attention has been paid to investigating these tools' overall effects on students' academic achievement…
Descriptors: Instructional Effectiveness, Programming Languages, Computer Science Education, Computer Interfaces
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Petkova, Olga – Information Systems Education Journal, 2017
The paper explores relevant past research on service-learning in Information Systems courses since 2000. One of the conclusions from this is that most of the publications are not founded on specific theoretical models and are mainly about sharing instructor or student experiences. Then several theoretical frameworks from Education and other…
Descriptors: Student Experience, Service Learning, Information Systems, Computer Science Education
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Rodriguez, Sarah L.; Lehman, Kathleen – Computer Science Education, 2017
This theoretical paper explores the need for enhanced, intersectional computing identity theory for the purpose of developing a diverse group of computer scientists for the future. Greater theoretical understanding of the identity formation process specifically for computing is needed in order to understand how students come to understand…
Descriptors: Computer Science Education, Self Concept, Professional Identity, Interdisciplinary Approach
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Main, Joyce B.; Schimpf, Corey – IEEE Transactions on Education, 2017
Using a life course perspective, this literature review synthesizes research on women's underrepresentation in computing fields across four life stages: 1) pre-high school; 2) high school; 3) college major choice and persistence; and 4) post-baccalaureate employment. Issues associated with access to, and use of, computing resources at the pre-high…
Descriptors: Females, Disproportionate Representation, Elementary Secondary Education, High Schools
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McCauley, Renee; Fitzgerald, Sue; Lewandowski, Gary; Murphy, Laurie; Simon, Beth; Thomas, Lynda; Zander, Carol – Computer Science Education, 2008
This paper reviews the literature related to the learning and teaching of debugging computer programs. Debugging is an important skill that continues to be both difficult for novice programmers to learn and challenging for computer science educators to teach. These challenges persist despite a wealth of important research on the subject dating…
Descriptors: Troubleshooting, Computer Science, Programming, Computer Software
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