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Liang, Yuan; Zhang, Lijin; Wang, Chunling; Liu, Yujuan – Infant and Child Development, 2021
This study investigated the influence of spontaneous focusing on numerosity (SFON) tendency on the performance and estimation patterns on number line estimation (NLE). To examine this question, 147 preschoolers (3.51-4.52 years) completed two types of SFON task (referenced SFON task and non-referenced SFON task) and three conditions of NLE…
Descriptors: Numbers, Computation, Preschool Children, Individual Characteristics
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Foster, Robert C. – Educational and Psychological Measurement, 2021
This article presents some equivalent forms of the common Kuder-Richardson Formula 21 and 20 estimators for nondichotomous data belonging to certain other exponential families, such as Poisson count data, exponential data, or geometric counts of trials until failure. Using the generalized framework of Foster (2020), an equation for the reliability…
Descriptors: Test Reliability, Data, Computation, Mathematical Formulas
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2021
The population discrepancy between unstandardized and standardized reliability of homogeneous multicomponent measuring instruments is examined. Within a latent variable modeling framework, it is shown that the standardized reliability coefficient for unidimensional scales can be markedly higher than the corresponding unstandardized reliability…
Descriptors: Test Reliability, Computation, Measures (Individuals), Research Problems
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Andersson, Gustaf; Yang-Wallentin, Fan – Educational and Psychological Measurement, 2021
Factor score regression has recently received growing interest as an alternative for structural equation modeling. However, many applications are left without guidance because of the focus on normally distributed outcomes in the literature. We perform a simulation study to examine how a selection of factor scoring methods compare when estimating…
Descriptors: Regression (Statistics), Statistical Analysis, Computation, Scoring
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Henmi, Masayuki; Hattori, Satoshi; Friede, Tim – Research Synthesis Methods, 2021
In meta-analyses including only few studies, the estimation of the between-study heterogeneity is challenging. Furthermore, the assessment of publication bias is difficult as standard methods such as visual inspection or formal hypothesis tests in funnel plots do not provide adequate guidance. Previously, Henmi and Copas (Statistics in Medicine…
Descriptors: Statistical Analysis, Computation, Bias, Publications
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Xiao-Fan Lin; Yue Zhou; Weipeng Shen; Guoyu Luo; Xiaoqing Xian; Bo Pang – Education and Information Technologies, 2024
K-12 artificial intelligence (AI) education requires cultivating students' computational thinking in the school curriculum so as to transfer their computational thinking to diverse problems and authentic contexts. However, students may be limited by traditional computational thinking development activities because they may have a lower degree of…
Descriptors: Secondary School Students, Artificial Intelligence, Foreign Countries, Computation
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Yeni Acosta; Ángel Alsina; Nataly Pincheira – Education and Information Technologies, 2024
This paper provides a longitudinal analysis of the understanding of repetition patterns by 24 Spanish children ages 3, 4 and 5, through representation and the type of justification. A mixed quantitative and qualitative study is conducted to establish bridges between algebraic thinking and computational thinking by teaching repetition patterns in…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, Computation
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Garry Vanz V. Blancia; Eddie G. Fetalvero; Philip R. Baldera; Merian C. Mani – Problems of Education in the 21st Century, 2024
These days' educational landscape forces teachers to adapt to changing demands and embrace innovations. In this study, Artificial Intelligence (AI) literacy was analyzed as how it mediates the association between Computational Thinking Skills (CTS) and Organizational Agility (OA) among secondary teachers. A quantitative causal mediation analysis…
Descriptors: Artificial Intelligence, Technological Literacy, Mental Computation, Secondary School Teachers
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Chi-Chuan Chen; Ilaria Berteletti; Daniel C. Hyde – Developmental Science, 2024
Symbolic numeracy first emerges as children learn the meanings of number words and how to use them to precisely count sets of objects. This development starts before children enter school and forms a foundation for lifelong mathematics achievement. Despite its importance, exactly how children acquire this basic knowledge is unclear. Here we test…
Descriptors: Preschool Children, Numeracy, Symbols (Mathematics), Computation
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Marisa Kumm; Mellony H. Graven – South African Journal of Childhood Education, 2024
Background: National and international assessments show South Africa's underperformance in mathematics. As many learners already fall behind in the early grades, where foundational number sense should be established, addressing the challenges of number sense in the Foundation Phase (FP) is important. Research recognises the need to better develop…
Descriptors: Foreign Countries, Preservice Teachers, Elementary School Teachers, Mathematics Education
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Ethan R. Van Norman; David A. Klingbeil; Adelle K. Sturgell – Grantee Submission, 2024
Single-case experimental designs (SCEDs) have been used with increasing frequency to identify evidence-based interventions in education. The purpose of this study was to explore how several procedural characteristics, including within-phase variability (i.e., measurement error), number of baseline observations, and number of intervention…
Descriptors: Research Design, Case Studies, Effect Size, Error of Measurement
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Jamelia Harris – Field Methods, 2024
Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…
Descriptors: Foreign Countries, Sample Size, Surveys, Computation
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Roman Chvátal; Jana Slezáková; Stanislav Popelka – Education and Information Technologies, 2024
In the realm of mathematics education, geometry problems assume a pivotal role by fostering abstract thinking, establishing a connection between theory and practice, and offering a tangible portrayal of reality. This study focuses on comprehending problem-solving methodologies by observing the eye movements of 45 primary and multi-year grammar…
Descriptors: Problem Solving, Learning Strategies, Imagination, Geometry
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Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
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Selena Steinberg; Melissa Gresalfi; Lauren Vogelstein; Corey Brady – Journal of Research on Technology in Education, 2024
This paper considers how a curricular design that integrated computer programming and creative movement shaped students' engagement with computing. We draw on data from a camp for middle schoolers, focusing on an activity in which students used the programming environment NetLogo to re-represent their physical choreography. We analyze the extent…
Descriptors: Dance, Programming, Computation, Computer Simulation
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