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Mai, Yujiao; Zhang, Zhiyong; Wen, Zhonglin – Grantee Submission, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Comparative Analysis, Statistical Bias
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Lee, Hyung Sook; Yim, Jaehoon; Coomes, Jacqueline – Mathematics Teacher: Learning and Teaching PK-12, 2020
Children see and describe patterns in the primary grades when they develop the meaning of numbers by composing and decomposing. During their early years, they use patterns to learn properties of operations (Common Core Standards Writing Team 2011). While describing the intent of the third-grade standards for multiplication, the CCSS writers…
Descriptors: Mathematics Instruction, Mathematical Logic, Teaching Methods, Elementary School Mathematics
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Herceg, Ðorde; Herceg, Dejana – Informatics in Education, 2020
Connecting theory and practice in teaching is sometimes difficult, as it requires expensive or delicate equipment, thus limiting the teacher to giving demonstrations in which students are passive participants. Numerical mathematics, as an applied discipline, should be taught on real world examples. By using inexpensive Arduino hardware, we can…
Descriptors: Mathematics Instruction, Teaching Methods, Educational Technology, Computer Software
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Li, Li; Zhou, Xin; Gao, Xuliang; Tu, Dongbo – ZDM: The International Journal on Mathematics Education, 2020
In this study we investigated the development of 245 kindergarteners' mathematics problem solving (MPS) at two time points within 7 months using a cognitive diagnostic test, which measured three cognitive components (mathematical knowledge and skills, semantic understanding, and quantitative reasoning) with eleven cognitive attributes. The effects…
Descriptors: Kindergarten, Mathematics Instruction, Problem Solving, Mathematics Skills
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Hu, Jingchen – Journal of Statistics Education, 2020
We propose a semester-long Bayesian statistics course for undergraduate students with calculus and probability background. We cultivate students' Bayesian thinking with Bayesian methods applied to real data problems. We leverage modern Bayesian computing techniques not only for implementing Bayesian methods, but also to deepen students'…
Descriptors: Bayesian Statistics, Statistics Education, Undergraduate Students, Computation
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Nakawa, Nagisa; Kusaka, Satoshi; Kosaka, Masato; Watanabe, Koji; Baba, Takuya – African Journal of Research in Mathematics, Science and Technology Education, 2020
One of the biggest challenges for primary school children is moving beyond the use of counting in calculation. The purpose of this study was to investigate how Zambian Grade 1 to Grade 4 children at primary school see a group of 10 as an effective pattern and structure with the given concrete material. The study consisted of three phases…
Descriptors: Numeracy, Foreign Countries, Elementary School Students, Computation
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Threekunprapa, Arinchaya; Yasri, Pratchayapong – International Journal of Instruction, 2020
Computational thinking (CT) has become a necessary skill of students in the 21st century. Various learning approaches have been developed to foster CT among school students. However, these approaches predominantly rely on computer devices and internet connection and fail to promote advanced computer concepts necessary for programming. Therefore,…
Descriptors: Computation, Thinking Skills, Coding, Flow Charts
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Zha, Shenghua; Jin, Yi; Moore, Pamela; Gaston, Joe – TechTrends: Linking Research and Practice to Improve Learning, 2020
Researchers and educators have advocated computational thinking (CT) should be integrated into K-12 settings as early as elementary schools. However, there has been a lack of knowledge of how pre-service K-8 teachers would be engaged in the learning of CT and its integration in different subject areas. In this study, we taught a flipped learning…
Descriptors: Preservice Teacher Education, Preservice Teachers, Undergraduate Students, Thinking Skills
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Hellstrand, Heidi; Korhonen, Johan; Linnanmäki, Karin; Aunio, Pirjo – European Journal of Special Needs Education, 2020
This manuscript presents a study in which the new version of the computer-based training programme, The Number Race (NR), was used as an intervention for mathematically low-performing children in grade one (M[subscript age] = 86.46, SD = 3.89). In addition to ordinary teacher instruction in mathematics, the intervention group (n = 29) received NR…
Descriptors: Grade 1, Elementary School Students, Computer Assisted Instruction, Educational Technology
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Fernandes, Fábio A. O.; Marques, Clauber; Castelan, Jovani; Fritzen, Daniel; Alves de Sousa, Ricardo J. – Education Sciences, 2020
This paper reports pedagogical experiences and educational techniques in the field of Mechanics of Structures (Mechanical Engineering degree), resorting to computational tools. Several aspects are addressed, covering CAD (Computer-Aided Design) modelling systems to CAE (Computer-Aided Engineering) solutions, in terms of analysis and validation of…
Descriptors: Learning Processes, Engineering Education, Computer Assisted Design, Curriculum Development
Pantoja, Nancy; Schaeffer, Marjorie W.; Rozek, Christopher S.; Beilock, Sian L.; Levine, Susan C. – Grantee Submission, 2020
Math anxiety negatively predicts young children's math achievement. While some researchers have suggested that math anxiety may stem from poor math ability, others have argued that math anxiety occurs at all levels of math ability. An important question is whether math anxiety predicts math achievement over and above foundational math skills. We…
Descriptors: Mathematics Anxiety, Mathematics Achievement, Mathematics Skills, Grade 1
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Spybrook, Jessaca; Kelcey, Benjamin; Dong, Nianbo – Journal of Educational and Behavioral Statistics, 2016
Recently, there has been an increase in the number of cluster randomized trials (CRTs) to evaluate the impact of educational programs and interventions. These studies are often powered for the main effect of treatment to address the "what works" question. However, program effects may vary by individual characteristics or by context,…
Descriptors: Randomized Controlled Trials, Statistical Analysis, Computation, Educational Research
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Gerds, Thomas A. – Teaching Statistics: An International Journal for Teachers, 2016
Survival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die." A clever algorithm is performed which results in the Kaplan-Meier estimate of survival.
Descriptors: Statistics, Statistical Analysis, Computation, Predictor Variables
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Mei, Wai-Ning – European Journal of Physics Education, 2016
In this work, we demonstrate the application of the variational method by computing the ground- and first-excited state energies of a double-well potential. We start with the proper choice of the trial wave functions using optimized parameters, and notice that accurate expectation values in excellent agreement with the numerical results can be…
Descriptors: Quantum Mechanics, Energy, Computation, Mathematics
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Vaisey, Stephen; Miles, Andrew – Sociological Methods & Research, 2017
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…
Descriptors: Surveys, Data, Statistical Analysis, Models
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