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Liu, Xiaofeng Steven – Teaching Statistics: An International Journal for Teachers, 2019
Pearson's product-moment correlation can be explained by means of the probability of concordant pairs of observations on two continuous variables (ie, the order of the observations from two randomly selected individuals is the same between the two variables). The probability of concordant pairs features relatively easy computation and offers an…
Descriptors: Probability, Correlation, Statistics, Observation
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Andrew A. Tawfik; Linda Payne; Andrew M. Olney – Technology, Knowledge and Learning, 2024
Theorists and educators increasingly highlight the importance of computational thinking in STEM education. While various scaffolding strategies describe how to best support this skillset (i.e., paired programming, worked examples), less research has focused on the design and development of these digital tools. One way to support computational…
Descriptors: Thinking Skills, Computation, STEM Education, Scaffolding (Teaching Technique)
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Gary K. W. Wong – Education and Information Technologies, 2024
As block-based visual programming platform such as Scratch become more accessible and supportive to children's programming learning, the demand on understanding a trajectory of children's computational thinking development through programming from their early ages increases rapidly in recent years. To explore the developmental process of…
Descriptors: Computation, Problem Solving, Skill Development, Programming
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G. Puttick; M. Cassidy; E. Tucker-Raymond; G. M. Troiano; C. Harteveld – Journal of Research in Science Teaching, 2024
Much research attention has been focused on learning through game playing. However, very little has been focused on student learning through game making, especially in science. Moreover, none of the studies on learning through making games has presented an account of how students engage in the process of game design in real time. The present study…
Descriptors: Design, Computer Games, Peer Teaching, Science Education
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Nikolaos Pellas – Journal of Educational Computing Research, 2024
Educational technologists and practitioners have made substantial strides in developing affordable digital and tangible resources to support both formal and informal computer science instruction. However, there is a lack of research on practice-based assignments, such as Internet of Things (IoT) projects, that allow undergraduate students to…
Descriptors: Computation, Thinking Skills, Learning Motivation, Academic Persistence
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Carolina Salinas; María José Seckel; Adriana Breda; Carmen Espinoza – International Journal of Educational Methodology, 2024
The incorporation of Computer Science teaching in educational systems has increased in recent years. Given international interest, Chile has promoted projects to promote the development of students' digital skills. Focusing on this new educational context, this research reports the results regarding the identification of computational concepts and…
Descriptors: Foreign Countries, Computation, Thinking Skills, Mathematics Education
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Tanya Chichekian; Joel Trudeau; Tawfiq Jawhar; Dylan Corliss – Journal of Computer Assisted Learning, 2024
Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…
Descriptors: College Students, Computation, Thinking Skills, Transfer of Training
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Shuhan Zhang; Gary K. W. Wong – Journal of Computer Assisted Learning, 2024
Background: Computational thinking (CT) has been broadly considered one of the 21st-century competencies, and an emerging trend has been seen in integrating CT into primary education. Cumulative research was conducted to investigate the influencing factors of CT learning performance, and an ample range of factors has been identified, involving…
Descriptors: Logical Thinking, Personality Traits, Elementary School Students, Negative Attitudes
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Kristin Walker; Emily Carrigan; Marie Coppola – Journal of Deaf Studies and Deaf Education, 2024
The ability to associate different types of number representations referring to the same quantity (symbolic Arabic numerals, signed/spoken number words, and nonsymbolic quantities), is an important predictor of overall mathematical success. This foundational skill--mapping--has not been examined in deaf and hard-of-hearing (DHH) children. To…
Descriptors: Deafness, Hearing Impairments, Students with Disabilities, Numeracy
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Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
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Delia Leuenberger; Elisabeth Moser Opitz; Noemi Gloor – Journal of Numerical Cognition, 2024
Computation competence (CC) in simple addition and subtraction using non-counting (NC) strategies is an important learning objective in Grade 1 mathematics but many children, especially low achievers in mathematics, struggle to acquire these skills. To provide these students with the support they need, it is important to have valid and reliable…
Descriptors: Computation, Mathematics Skills, Addition, Subtraction
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Di Liu; Yiwen Mao; Catharine Lory; Qingli Lei; Yingying Zeng – Psychology in the Schools, 2024
Computation is foundational to learning many mathematics concepts, as well as a functional skill in everyday life. Yet students with autism spectrum disorder (ASD) often have challenges in learning computation skills. The current study aimed to provide quantitative and descriptive analyses of single-case experimental studies on computation…
Descriptors: Computation, Intervention, Students with Disabilities, Autism Spectrum Disorders
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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
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Anna van der Meulen; Mijke Hartendorp; Wendy Voorn; Felienne Hermans – Computer Science Education, 2024
Background and Context: In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract computational concepts. Objective: In this study, we use the model of the layers of abstraction to explore how learners with…
Descriptors: Blindness, Visual Impairments, Students with Disabilities, Programming
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Alena Egorova; Vy Ngo; Allison S. Liu; Molly Mahoney; Justine Moy; Erin Ottmar – Mind, Brain, and Education, 2024
Perceptual learning theory suggests that perceptual grouping in mathematical expressions can direct students' attention toward specific parts of problems, thus impacting their mathematical reasoning. Using in-lab eye tracking and a sample of 85 undergraduates from a STEM-focused university, we investigated how higher-order operator position (HOO;…
Descriptors: Undergraduate Students, STEM Education, Mathematical Formulas, Mathematics Instruction
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