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Showing 1 to 15 of 21 results Save | Export
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Julia Tomanova; Martin Vozar; Dasa Munkova – International Journal of Education in Mathematics, Science and Technology, 2024
The study focuses on the identification of relationships and/or rules between computational thinking (CT) concepts among the undergraduate students of Applied Informatics due to their attitudes towards mathematics. We analyze three CT concepts -- decomposition, pattern recognition, and algorithmic thinking. We assume that students who have a…
Descriptors: Computation, Thinking Skills, Student Attitudes, Undergraduate Students
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Nijenhuis-Voogt, Jacqueline; Bayram-Jacobs, Durdane; Meijer, Paulien C.; Barendsen, Erik – Computer Science Education, 2021
Background and Context: Although context-based teaching and learning has been investigated extensively in science education, little is known regarding the use of contexts for teaching CS in secondary education. Objective: The aim of this study was to examine the characteristics of contexts suitable for teaching algorithms and to investigate…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Computer Science Education
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Lu, Chang; Macdonald, Rob; Odell, Bryce; Kokhan, Vasyl; Demmans Epp, Carrie; Cutumisu, Maria – Journal of Computing in Higher Education, 2022
The field of computational thinking (CT) is developing rapidly, reflecting its importance in the global economy. However, most empirical studies have targeted CT in K-12, thus, little attention has been paid to CT in higher education. The present scoping review identifies and summarizes existing empirical studies on CT assessments in…
Descriptors: Computation, Thinking Skills, Higher Education, Educational Trends
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Bull, Glen; Garofalo, Joe; Hguyen, N. Rich – Journal of Digital Learning in Teacher Education, 2020
An educational team founded by Seymour Papert at MIT has developed an evolving series of computing environments designed to facilitate computational thinking. Papert outlined the goal of developing educational environments to facilitate the use of computer as a computational object in a seminal publication, "Teaching Children Thinking"…
Descriptors: Thinking Skills, Computation, Computer Science Education, Programming
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Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
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Rosamond, Frances – Informatics in Education, 2018
The Computer Science Unplugged activities and project has been an influential STEM (Science, Technology, Engineering & Mathematics) initiative, providing enrichment and teaching activities supporting computational thinking. Many of its activities are suitable for children. One of the most popular Unplugged activities is "Kid Krypto",…
Descriptors: Technology, Computation, Thinking Skills, Enrichment Activities
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Rossano, Veronica; Roselli, Teresa; Quercia, Gaetano – International Association for Development of the Information Society, 2018
The Computational Thinking recently has been recognised as one of the basic knowledge to be developed since childhood. Coding and computers are not just programming, but tools that help students to develop problem solving skills and more deep understand of the way things work. For these reasons, great attention has been focused on this topic both…
Descriptors: Coding, Computation, Problem Solving, Computer Software
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Ehsan, Hoda; Rehmat, Abeera P.; Cardella, Monica E. – Science and Children, 2019
Computational thinking can provide a basis for problem solving, for making evidence-based decisions, and for learning to code or create programs. Therefore, it is critical that all students across the K-12 continuum--including students in the early grades--have opportunities to begin developing problem solving and computational thinking skills.…
Descriptors: Teaching Methods, STEM Education, Computer Science Education, Thinking Skills
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Velázquez-Iturbide, J. Ángel; Castellanos, M. Eugenia; Hijón-Neira, Raquel – IEEE Transactions on Education, 2016
Recursion is one of the most difficult programming topics for students. In this paper, an instructional method is proposed to enhance students' understanding of recursion tracing. The proposal is based on the use of rules to translate linear recursion algorithms into equivalent, iterative ones. The paper has two main contributions: the…
Descriptors: Computer Science Education, Programming, Teaching Methods, Mathematics
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Castillo, Antonio S.; Berenguer, Isabel A.; Sánchez, Alexander G.; Álvarez, Tomás R. R. – International Journal of Education and Development using Information and Communication Technology, 2017
This paper analyzes the results of a diagnostic study carried out with second year students of the computational sciences majors at University of Oriente, Cuba, to determine the limitations that they present in computational algorithmization. An exploratory research was developed using quantitative and qualitative methods. The results allowed…
Descriptors: Foreign Countries, Computation, Majors (Students), Mathematics
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Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
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Simic, Danijela – International Journal for Technology in Mathematics Education, 2015
Stepwise program refinement techniques can be used to simplify program verification. Programs are better understood since their main properties are clearly stated, and verification of rather complex algorithms is reduced to proving simple statements connecting successive program specifications. Additionally, it is easy to analyse similar…
Descriptors: Mathematics, Computer Science, Computer Science Education, Comparative Analysis
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Csernoch, Mária; Biró, Piroska; Abari, Kálmán; Máth, János – Acta Didactica Napocensia, 2015
Within the framework of the Testing Algorithmic and Application Skills project we tested first year students of Informatics at the beginning of their tertiary education. We were focusing on the students' level of understanding in different programming environments. In the present paper we provide the results from the University of Debrecen, the…
Descriptors: Foreign Countries, Information Science Education, College Freshmen, Mathematics
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
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Crabtree, John; Zhang, Xihui – Journal of Information Technology Education: Innovations in Practice, 2015
Teaching advanced programming can be a challenge, especially when the students are pursuing different majors with diverse analytical and problem-solving capabilities. The purpose of this paper is to explore the efficacy of using a particular problem as a vehicle for imparting a broad set of programming concepts and problem-solving techniques. We…
Descriptors: Computer Science Education, Programming Languages, Information Technology, Problem Solving
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