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Rebecca Y. Bayeck – British Journal of Educational Technology, 2024
Computational thinking is a necessary skill for the 21st century. While previously examined in computer-rich settings, researchers are increasingly studying computational thinking in unplugged environments such as board games. Focusing on the African board game "Songo," this study shows that computational thinking practices are embedded…
Descriptors: Computation, Thinking Skills, Games, Cultural Context
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Lauren K. Schiller; Roberto A. Abreu-Mendoza; Miriam Rosenberg-Lee – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Decimal numbers are generally assumed to be a straightforward extension of the base-ten system for whole numbers given their shared place value structure. However, in decimal notation, unlike whole numbers, the same magnitude can be expressed in multiple ways (e.g., 0.8, 0.80, 0.800, etc.). Here, we used a number line task with carefully selected…
Descriptors: Arithmetic, Computation, Numbers, Bias
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Hernandez-Gonzalez, Jeronimo; Herrera, Pedro Javier – IEEE Transactions on Learning Technologies, 2023
In peer assessment, students assess a task done by their peers, provide feedback and usually a grade. The extent to which these peer grades can be used to formally grade the task is unclear, with doubts often arising regarding their validity. The instructor could supervise the peer assessments, but would not then benefit from workload reduction,…
Descriptors: Peer Evaluation, Supervision, Models, Computation
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Masaya Okada; Koryu Nagata; Nanae Watanabe; Masahiro Tada – IEEE Transactions on Learning Technologies, 2024
A learner can autonomously acquire knowledge by experiencing the world, without necessarily being explicitly taught. The contents and ways of this type of real-world learning are grounded on his/her surroundings and are self-determined by computing real-world information. However, conventional studies have not modeled, observed, or understood a…
Descriptors: Computation, Learning Analytics, Experiential Learning, Self Management
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Ricca, Bernard P.; Blaine, Bruce E. – Journal of Experimental Education, 2022
Researchers are encouraged to report effect size statistics to quantify treatment effects or effects due to group differences. However, estimates of effect sizes, most commonly Cohen's "d," make assumptions about the distribution of data that are not always true. An alternative nonparametric estimate of effect size, relying on the median…
Descriptors: Nonparametric Statistics, Computation, Effect Size
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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
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Rotem Israel-Fishelson; Arnon Hershkovitz – Interactive Learning Environments, 2024
Creativity and computational thinking (CT) have been recognized as crucial skills for the twenty-first century and have been extensively researched in recent years. However, their connections have not yet been fully understood, and there is room to expand the body of knowledge. This study examines the impact of an intervention program to increase…
Descriptors: Creativity, Middle School Students, Computation, Thinking Skills
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Clark, Ted M.; Dickson-Karn, Nicole M.; Anderson, Ellie – Journal of Chemical Education, 2022
Student performance calculating the pH of a strong acid or strong base solution before and after instruction in general and analytical chemistry courses was investigated using open-response questions in which a pH equation was not provided. Prior to instruction, students in both classes scored very low. General chemistry students lacking prior…
Descriptors: Chemistry, Science Activities, Computation, Scientific Concepts
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Liang, Qianru; de la Torre, Jimmy; Law, Nancy – Journal of Educational and Behavioral Statistics, 2023
To expand the use of cognitive diagnosis models (CDMs) to longitudinal assessments, this study proposes a bias-corrected three-step estimation approach for latent transition CDMs with covariates by integrating a general CDM and a latent transition model. The proposed method can be used to assess changes in attribute mastery status and attribute…
Descriptors: Cognitive Measurement, Models, Statistical Bias, Computation
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Chen, Yinghan; Wang, Shiyu – Journal of Educational and Behavioral Statistics, 2023
Attribute hierarchy, the underlying prerequisite relationship among attributes, plays an important role in applying cognitive diagnosis models (CDM) for designing efficient cognitive diagnostic assessments. However, there are limited statistical tools to directly estimate attribute hierarchy from response data. In this study, we proposed a…
Descriptors: Cognitive Measurement, Models, Bayesian Statistics, Computation
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E. Hill; S. Calder; C. Candy; G. Truscott; J. Kaur; B. Savage; S. Reilly – International Journal of Language & Communication Disorders, 2024
Background and Aims: Epidemiological studies have provided invaluable insight into the origin and impact of low language skills in childhood and adolescence. However, changing terminology and diagnostic guidelines have contributed to variable estimations of the prevalence of developmental language difficulties. The aim of this review was to…
Descriptors: Language Skills, Incidence, Developmental Delays, Children
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Denitza Dramkin; Darko Odic – Developmental Science, 2024
As adults, we represent and think about number, space, and time in at least two ways: our intuitive--but imprecise--perceptual representations, and the slowly learned--but precise--number words. With development, these representational formats interface, allowing us to use precise number words to estimate imprecise perceptual experiences. We test…
Descriptors: Child Development, Numbers, Vocabulary Development, Numeracy
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Kotsopoulos, Donna; Floyd, Lisa; Dickson, Brandon Allan; Nelson, Vivian; Makosz, Samantha – Early Childhood Education Journal, 2022
In this research we explore the extent to which computational thinking (CT) is evident in 3-6 year-old children's free play. CT is increasingly viewed as an important aspect of a child's school learning. Typically, CT is connected to learning with computers. Yet, much of learning in the early years is play-based, spontaneous, often…
Descriptors: Observation, Computation, Thinking Skills, Play
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Cheng, Chen; Kibbe, Melissa M. – Cognitive Science, 2023
Young children with limited knowledge of formal mathematics can intuitively perform basic arithmetic-like operations over nonsymbolic, approximate representations of quantity. However, the algorithmic rules that guide such nonsymbolic operations are not entirely clear. We asked whether nonsymbolic arithmetic operations have a function-like…
Descriptors: Young Children, Mathematics Skills, Arithmetic, Problem Solving
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Gao, Hongyu; Yang, Weipeng; Jiang, Yunxiao – Education and Information Technologies, 2023
Computational thinking (CT) is a new literacy of 21st century that can be transferred to and applied in different real-world situations, although being derived from the discipline of computer science. Tangible robots or child-friendly digital apps are used to implement coding education with the goal of promoting young children's CT. However, there…
Descriptors: Preschool Children, Foreign Countries, Computation, Thinking Skills
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