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Pál Sarmasági; Anikó Rumbus; Javier Bilbao; András Margitay-Becht; Zsuzsa Pluhár; Carolina Rebollar; Valentina Dagiene – Informatics in Education, 2025
Algebraic Thinking (AT) and Computational Thinking (CT) are pivotal competencies in modern education, fostering problem-solving skills and logical reasoning among students. This study presents the initial hypotheses, theoretical framework, and key steps undertaken to explore characterized learning paths and assign practice-relevant tasks. This…
Descriptors: Algebra, Computation, Thinking Skills, Problem Solving
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Refvik, Kim André Stavenaes; Opsal, Hilde – Computers in the Schools, 2023
Computational thinking and programming have emerged as central 21st-century skills. Several countries have embedded these skills in their school curricula. This study investigates how an optional programming course affects eighth-grade mathematical problem solving in Norway using a quasi-experimental design with pre- and post-tests. These tests…
Descriptors: Programming, Computer Science Education, Grade 8, Mathematics Education
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Mumcu, Filiz; Kidiman, Esra; Özdinç, Fatih – Journal of Pedagogical Research, 2023
Integrating computational thinking (CT) into various disciplines via computer science (CS) methods such as unplugged, block-based, text-based, and physical programming is a trending topic in educational sciences. This study presents a perspective on implementing an unplugged computer science activity to integrate CT into mathematics education.…
Descriptors: Computation, Thinking Skills, Mathematics Education, Learning Activities
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Ng, Oi-Lam; Leung, Allen; Ye, Huiyan – ZDM: Mathematics Education, 2023
Programming is an interdisciplinary practice with applications in both mathematics and computer science. Mathematics concerns rigor, abstraction, and generalization. Computer science predominantly concerns efficiency, concreteness, and physicality. This makes programming a medium for problem solving that mediates between mathematics and computer…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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Rich, Kathryn M.; Spaepen, Elizabet; Strickland, Carla; Moran, Cheryl – Interactive Learning Environments, 2020
A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may…
Descriptors: Computer Science Education, Mathematics Education, Mathematics Skills, Elementary School Students
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Pérez, Arnulfo – Journal for Research in Mathematics Education, 2018
This theoretical article describes a framework to conceptualize computational thinking (CT) dispositions--"tolerance for ambiguity," "persistence," and "collaboration"--and facilitate integration of CT in mathematics learning. CT offers a powerful epistemic frame that, by foregrounding core dispositions and practices…
Descriptors: Mathematics Education, Thinking Skills, Secondary School Teachers, Mathematics Teachers
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Rudd, David – School Science and Mathematics, 1978
Modern sophisticated computers are shown to multiply the same way the ancient Egyptians did more than 4000 years ago--by doubling and adding. (MN)
Descriptors: Computation, Computer Science Education, Computers, Instructional Materials
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
Rich, Albert D.; Stoutemyer, David R. – Creative Computing, 1979
The internal operations of this computer symbolic mathematics system are described in detail in order to explain the accomplishments of the computer. (MP)
Descriptors: Algebra, Computation, Computer Programs, Computer Science
Dwyer, Thomas A. – Creative Computing, 1977
A book designed to enable lay readers to interact with computers using the BASIC language is described. (SD)
Descriptors: Adult Education, Books, Computation, Computer Programs
East, Philip; Moursund, David – 1979
A review of the literature on the use of calculators and computers in instruction is presented. Topics covered include: (1) statements of goals for the instructional use of calculators and computers; (2) position statements; (3) computer manpower supply and demand; (4) a technical overview; (5) calculators in elementary schools; (6) computers in…
Descriptors: Calculators, Computation, Computer Science Education, Computers
Pollack, Seymour V., Ed. – 1982
The nine articles in this collection were selected because they represent concerns central to computer science, emphasize topics of particular interest to mathematicians, and underscore the wide range of areas deeply and continually affected by computer science. The contents consist of: "Introduction" (S. V. Pollack), "The…
Descriptors: Artificial Intelligence, College Mathematics, Computation, Computer Programs
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Papert, Seymour – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2005
The phrase "technology and education" usually means inventing new gadgets to teach the same old stuff in a thinly disguised version of the same old way. Moreover, if the gadgets are computers, the same old teaching becomes incredibly more expensive and biased towards its dullest parts, namely the kind of rote learning in which measurable…
Descriptors: Thinking Skills, Teaching Methods, Technology Uses in Education, Programming Languages