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Feijoo-Garcia, Pedro G.; Kapoor, Amanpreet; Gardner-McCune, Christina; Ragan, Eric – IEEE Transactions on Education, 2022
Contribution: In this article, the authors present findings and insights on the efficacy of using an educational block-based programming (BBP) environment--Blocks4DS, to teach the binary search tree (BST). Background: For a decade, BBP environments have been a hot topic in the computer science education (CSEd) community to promote interactive…
Descriptors: Computer Science Education, Programming, Programming Languages, Mathematics
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João Piedade; Nuno Dorotea – Informatics in Education, 2023
Computational Thinking (CT) has emerged in recent years as a thematic trend in education in many countries and several initiatives have been developed for its inclusion in school curricula. There are many pedagogical strategies to promote the development of elementary school students' CT skills and knowledge. Unplugged learning tasks, block-based…
Descriptors: Programming, Programming Languages, Grade 4, Elementary School Students
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Ricardo J. Ferna´ndez-Tera´n; Estefani´a Sucre-Rosales; Lorenzo Echevarria; Florencio E. Hernández – Journal of Chemical Education, 2022
We present a detailed yet easy-to-follow discussion of the mathematical treatment of time-resolved spectroscopic data in a model-based approach. This is accompanied and complemented by an example of a colorful and pedagogically rich chemical reaction: the permanganate oxidation of sugars in basic aqueous media (often known as the chameleon…
Descriptors: Spectroscopy, Chemistry, Science Instruction, Mathematics
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Ülker, Ezgi Deniz – Cypriot Journal of Educational Sciences, 2020
The ability of analysing and designing an algorithm is quite essential for computer science education. The students in the Analysis and Design of Algorithms (ADA) course are expected to be able to solve problems by choosing one of the proper design methods and to analyse the algorithm's performance in terms of various aspects. Instead of using…
Descriptors: Computer Science Education, Design, Mathematics, Programming
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Zinagul Suranchiyeva; Bektas Bostanov; Serik Kenesbayev; Salamat Idrissov; Kuralay Turganbay – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model,…
Descriptors: Electronic Learning, Elective Courses, Mathematics Instruction, Computer Science Education
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Critten, Valerie; Hagon, Hannah; Messer, David – Early Childhood Education Journal, 2022
Guided play activities were developed so that coding clubs could promote computational thinking skills in preschool children. The clubs involved fifteen children aged between 2 and 4 years, including a group of children with communication difficulties. The children took part in an action-research scoping study over three coding clubs involving six…
Descriptors: Preschool Children, Programming, Coding, Play
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Wu, Wan-Rou; Yang, Kai-Lin – Cogent Education, 2022
This review study synthesises the literature on how computational thinking (CT) and mathematical thinking (MT) are integrated into mathematics education research with a focus on tasks. A review of 28 relevant articles on the Web of Science Core Collection database indicated that (1) CT helps students develop and apply mathematical concepts and…
Descriptors: Computation, Mathematics Education, Thinking Skills, Relationship
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Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
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Rowlett, Peter; Corner, Alexander S. – International Journal of Mathematical Education in Science and Technology, 2022
During the COVID-19 pandemic, the teaching of programming for undergraduate mathematicians was moved online. This was delivered asynchronously, with students working through notes and exercises and asking for help from staff via online messages as needed. Staff delivery time was redirected from content delivery into a formal system of formative…
Descriptors: COVID-19, Pandemics, Programming, Undergraduate Students
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Evripidou, Salomi; Amanatiadis, Angelos; Christodoulou, Klitos; Chatzichristofis, Savvas A. – IEEE Transactions on Learning Technologies, 2021
Today, in the era of robotics, different types of educational robots have been used extensively in school classrooms to facilitate teaching activities related to a variety of computer science concepts. Numerous studies have been performed that attempt to examine the effects of using tangible interfaces to enhance collaborative learning…
Descriptors: Thinking Skills, Mathematics, Computation, Sequential Approach
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Grizioti, Marianthi; Kynigos, Chronis – British Journal of Educational Technology, 2021
In this paper, we discuss the need for new approaches to research regarding coding to support students in developing practices in computational thinking, such as abstraction and decomposition, in multidisciplinary contexts. We explore students' activities with a tool integrating constructionist textual programming activity with game-based learning…
Descriptors: Computer Games, Thinking Skills, Interdisciplinary Approach, Coding
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Avci, Canan; Deniz, Mine Nur – Education and Information Technologies, 2022
Computational thinking (CT) is considered a group of problem-solving skills that the next generations are expected to possess. The most efficient way to make them acquire these skills is to incorporate CT into K-12 education. To this end, various education programs have been designed to improve teachers' and prospective teachers' competence in CT.…
Descriptors: Early Childhood Teachers, Preservice Teachers, Computation, Thinking Skills
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Thrall, Elizabeth S.; Lee, Seung Eun; Schrier, Joshua; Zhao, Yijun – Journal of Chemical Education, 2021
Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Science Education
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Salehi Kahrizsangi, Farzaneh; Barwell, Richard – Discourse Processes: A Multidisciplinary Journal, 2021
Metaphors are recognized as bridging scientists' challenges in communication with the public. In mathematics, however, which often involves abstract concepts and relations, less attention has been paid to the role of metaphors in public communication. In this article we examine the metaphors appearing in the discourse of 10 mathematicians in five…
Descriptors: Radio, Figurative Language, Mathematics, Mathematical Concepts
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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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