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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
Donado, Marjorie Fontalvo – ProQuest LLC, 2022
Universities are reflections of our societies and are tasked with educating the next generation of experts. The computer science (CS) phenomenon, with its high-paying jobs, attracts more students than ever to the CS undergraduate major. One may wonder why women are underrepresented in the CS major if they constitute half of university enrollment…
Descriptors: College Students, Females, Computer Science Education, Majors (Students)
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Anette Bentz; Bernhard Standl – Discover Education, 2022
With the increasing integration of computer science into school curricula, a growing number of pupils are coming into contact with this subject. To get as many pupils as possible interested in computer science, the teaching strategies and methods must meet the heterogeneous prerequisites of the pupils. The purpose of this paper is to find out how…
Descriptors: Secondary School Students, Student Attitudes, Preferences, Computer Science Education
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Dayae Yang; Theodore J. Kopcha – International Journal of Designs for Learning, 2022
Computer programming has become an essential part of K12 education, promoted as a way for students to engage in computational thinking that helps develop students' ability to analyze and solve problems and prepare them for future careers. Tabletop board games are seen as an effective means to help students learn computer programming. Several board…
Descriptors: Educational Games, Design, Programming, Computer Science Education
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Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
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Allison S. Theobold; Megan H. Wickstrom; Stacey A. Hancock – Journal of Statistics and Data Science Education, 2024
Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these…
Descriptors: Computer Science Education, Coding, Data Science, Statistics Education
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Serap Çimsir; Filiz Kalelioglu; Yasemin Gülbahar – Informatics in Education, 2024
This study aims to examine the impact of interdisciplinary computational thinking (CT) skills training on primary school teachers' perceptions of CT skills. The sample of the study consisted of 30 primary school teachers in Istanbul. In this study, where quantitative and qualitative methods were used together, qualitative data were obtained from…
Descriptors: Teacher Attitudes, Computer Science Education, Interdisciplinary Approach, Thinking Skills
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Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
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Mariyam Abdulhadi; Fred Awaah; Deborah Agbanimu; Emmanuel Okyere Ekwam; Emmanuella Sefiamor Heloo – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The lecture method has been compared with teaching methods such as flip learning, cooperative learning and simulations to establish which holds the key to students' understanding of concepts. What is bereft in the education literature is its comparative efficiency with the culturo-techno contextual approach (CTCA) in the teaching of…
Descriptors: Foreign Countries, Developing Nations, Computer Science Education, Cultural Context
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Dalia Khairy; Nouf Alharbi; Mohamed A. Amasha; Marwa F. Areed; Salem Alkhalaf; Rania A. Abougalala – Education and Information Technologies, 2024
Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students' academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and…
Descriptors: Prediction, Tests, Scores, Information Retrieval
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Ella Christiaans; So Yeon Lee; Kristy A. Robinson – Educational Psychology, 2024
Students want to learn computer science due to its usefulness for future careers, however they often meet challenges in introductory courses. In the increasingly digital world, it is important to understand some important psychological consequences of such challenges: perceived costs of pursuing computer science. This study thus investigated…
Descriptors: Undergraduate Students, Computer Science Education, Psychological Patterns, Student Attitudes
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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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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Wilson Libardo Pantoja Yépez; Julio Ariel Hurtado Alegría; Ajay Bandi; Arvind W. Kiwelekar – Education and Information Technologies, 2024
The ability to define, evaluate, and implement software architectures is a fundamental skill for software engineers. However, teaching software architecture can be challenging as it requires students to be involved in real-context projects with high degrees of complexity. This involves making trade-off decisions among several quality attributes.…
Descriptors: Computer Software, Training, Computer Science Education, Teaching Methods
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Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
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