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Fanchamps, Nardie; Slangen, Lou; Specht, Marcus; Hennissen, Paul – IEEE Transactions on Learning Technologies, 2022
This article illustrates that the task design and problem selection are of characteristic influence to evoke sense-reason-act programming (SRA) among primary school pupils when programming robots. Research shows that the task design influences the development of computational thinking (CT). The literature provides evidence that the context, the…
Descriptors: Elementary School Students, Robotics, Programming, Thinking Skills
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Metcalf, Shari J.; Reilly, Joseph M.; Jeon, Soobin; Wang, Annie; Pyers, Allyson; Brennan, Karen; Dede, Chris – Computer Science Education, 2021
Background and Context: This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective: The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and…
Descriptors: Evaluation Methods, Computation, Thinking Skills, Science Education
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Barrón-Estrada, María Lucia; Zatarain-Cabada, Ramón; Romero-Polo, Jorge Abraham; Monroy, Julieta Noguez – Education and Information Technologies, 2022
Pattern recognition is an important skill of Computational Thinking and is one of the most important competences for solving a problem that involves finding similarities or patterns in small problems to solve more complex ones. In this work, we present the mobile application software Patrony. The main contribution of this work is to promote the…
Descriptors: Handheld Devices, Computer Oriented Programs, Pattern Recognition, Computation
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Korkmaz, Nurdan; Temur, Özlem Dogan – International Electronic Journal of Elementary Education, 2022
The purpose of this study is to electrophysiologically assess the effect of an individualized education program supported with musical activities on the success of primary school students with computational difficulties. A mixed-methods design consisting of qualitative and quantitative methods was employed as the research model. The research group…
Descriptors: Music, Mathematics Instruction, Elementary School Students, Addition
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Avcu, Yunus Emre; Er, Kemal Oguz – International Journal of Educational Methodology, 2020
This study aimed to develop an instructional design that focuses on programming teaching for gifted and talented students and to investigate its effects on the teaching process. During the development of the instructional design; the steps of Morrison, Ross and Kemp Instructional Design Model were followed. Embedded experimental design, one of the…
Descriptors: Foreign Countries, Instructional Design, Information Technology, Computer Software
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Love, Tyler S.; Bhatty, Abraham – Technology and Engineering Teacher, 2019
Within the past few years there has been an increasing emphasis on making computer science (CS) more accessible for all K-12 students. In 2013 there were 12 states that allowed CS courses to count towards high school graduation, and in 2018 that number had grown to 35 states plus the District of Columbia (Code.org, 2018). Due to the increasing…
Descriptors: Computer Science Education, Engineering Education, Design, Elementary School Students
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Ainley, Janet; Pratt, Dave – Statistics Education Research Journal, 2017
Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…
Descriptors: Computation, Models, Children, Interviews
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Rodriguez, Purificacion; Lago, M. Oliva; Enesco, Ileana; Guerrero, Silvia – Journal of Experimental Child Psychology, 2013
In this study, the development of comprehension of essential and nonessential aspects of counting is examined in children ranging from 5 to 8 years of age. Essential aspects, such as logical rules, and nonessential aspects, including conventional rules, were studied. To address this, we created a computer program in which children watched counting…
Descriptors: Elementary School Students, Computer Software, Computation, Comprehension
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Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
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Jones, Ian; Pratt, Dave – Journal for Research in Mathematics Education, 2012
Three studies explore arithmetic tasks that support both substitutive and basic relational meanings for the equals sign. The duality of meanings enabled children to engage meaningfully and purposefully with the structural properties of arithmetic statements in novel ways. Some, but not all, children were successful at the adapted task and were…
Descriptors: Foreign Countries, Arithmetic, Symbols (Mathematics), Equations (Mathematics)
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Jeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure
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Chen, Yen-Hua; Looi, Chee-Kit; Lin, Chiu-Pin; Shao, Yin-Juan; Chan, Tak-Wai – Educational Technology & Society, 2012
While addition and subtraction is a key mathematical skill for young children, a typical activity for them in classrooms involves doing repetitive arithmetic calculation exercises. In this study, we explore a collaborative way for students to learn these skills in a technology-enabled way with wireless computers. Two classes, comprising a total of…
Descriptors: Mathematics Skills, Computation, Cooperative Learning, Educational Technology
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Hedges, Larry V.; Hedberg, E. C.; Kuyper, Arend M. – Educational and Psychological Measurement, 2012
Intraclass correlations are used to summarize the variance decomposition in populations with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Computation, Hierarchical Linear Modeling, Reading Achievement
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Chen, Fang; Chalhoub-Deville, Micheline – Language Testing, 2014
Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…
Descriptors: Regression (Statistics), Language Tests, Language Proficiency, Mathematics Achievement
Hedges, Larry V.; Hedberg, Eric C.; Kuyper, Arend M. – Grantee Submission, 2012
Intraclass correlations are used to summarize the variance decomposition in popula- tions with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Hierarchical Linear Modeling, Computation, Sampling
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