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Sicat, Lolita V.; David, Ma. Elena D. – Universal Journal of Educational Research, 2016
This analytical study analyzed the performance in Basic Mathematics of the indigenous students, the Aeta students (Grade 6) of Sta. Juliana Elementary School, Capas, Tarlac, and the APC students of Malaybalay City, Bukidnon. Results were compared with regular students in rural, urban, private, and public schools to analyze indigenous students'…
Descriptors: Mathematics Instruction, Elementary School Students, Indigenous Populations, Computation
Resnick, Ilyse; Jordan, Nancy C.; Hansen, Nicole; Rajan, Vinaya; Rodrigues, Jessica; Siegler, Robert S.; Fuchs, Lynn S. – Grantee Submission, 2016
Development of fraction number line estimation was assessed longitudinally over five time points between fourth and sixth grades. Although students showed positive linear growth overall, latent class growth analyses revealed three distinct growth trajectory classes: Students who were highly accurate from the start and became even more accurate (n…
Descriptors: Fractions, Intermediate Grades, Elementary School Students, Computation
Kim, YoungKoung; DeCarlo, Lawrence T. – College Board, 2016
Because of concerns about test security, different test forms are typically used across different testing occasions. As a result, equating is necessary in order to get scores from the different test forms that can be used interchangeably. In order to assure the quality of equating, multiple equating methods are often examined. Various equity…
Descriptors: Equated Scores, Evaluation Methods, Sampling, Statistical Inference
Li, Mang; Zheng, Chunping; Liang, Jyh-Chong; Zhang, Yun; Tsai, Chin-Chung – International Journal of Science and Mathematics Education, 2018
This study explored the structural relationships among secondary school students' conceptions, self-regulation, and strategies of learning science in mainland China. Three questionnaires, namely conceptions of learning science (COLS), self-regulation of learning science (SROLS), and strategies of learning science (SLS) were developed for…
Descriptors: Foreign Countries, Secondary School Science, Science Instruction, Student Attitudes
Swanson, H. Lee; Kong, Jennifer; Petcu, Stefania – Language, Speech, and Hearing Services in Schools, 2018
Purpose: The purpose of this study was to determine those components of working memory (WM) that play a significant role in predicting math growth in children who are English language learners (N = 157) with serious math difficulties (MD). Method: A battery of tests was administered in English and Spanish that assessed computation, reading,…
Descriptors: Bilingualism, Short Term Memory, Mathematics Skills, Prediction
Raddatz, Julia; Kuhn, Jörg-Tobias; Holling, Heinz; Moll, Kristina; Dobel, Christian – Journal of Learning Disabilities, 2017
The aim of the present study was to investigate the cognitive profiles of primary school children (age 82-133 months) on a battery of basic number processing and calculation tasks. The sample consisted of four groups matched for age and IQ: arithmetic disorder only (AD; n = 20), reading disorder only (RD; n = 40), a comorbid group (n = 27), and an…
Descriptors: Arithmetic, Reading Difficulties, Numbers, Computation
Wheate, Nial J.; Apps, Michael G.; Khalifa, Hazer; Doughty, Alan; Patel, Alpesh Ramanlal – Journal of Chemical Education, 2017
A laboratory experiment to determine the concentration of the anti-inflammatory drug ibuprofen in liquid gelatin capsule dosage forms, suitable for undergraduate chemistry or pharmacy students, is described. Either individually, or in small teams, the students digest two 200 mg capsules in a KOH solution. While the capsules are digesting the…
Descriptors: Science Instruction, Science Laboratories, Laboratory Experiments, Science Experiments
Buitrago Flórez, Francisco; Casallas, Rubby; Hernández, Marcela; Reyes, Alejandro; Restrepo, Silvia; Danies, Giovanna – Review of Educational Research, 2017
Computational thinking (CT) uses concepts that are essential to computing and information science to solve problems, design and evaluate complex systems, and understand human reasoning and behavior. This way of thinking has important implications in computer sciences as well as in almost every other field. Therefore, we contend that CT should be…
Descriptors: Computation, Computer Science Education, Programming, Problem Solving
Lee, Victor R.; Fields, Deborah A. – International Journal of Information and Learning Technology, 2017
Purpose: In light of growing interest in the maker movement and electronic textiles (e-textiles) as an educational technology, the purpose of this paper is to characterize competence change in undergraduate students who participated in a semester-length course that used e-textiles. Design/methodology/approach: This qualitative and exploratory…
Descriptors: Scoring Rubrics, Educational Technology, Minimum Competency Testing, Undergraduate Students
von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – International Journal of Computer Science Education in Schools, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution may be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Computation, Thinking Skills, Interdisciplinary Approach
Stevens, Joseph J.; Nese, Joseph F. T.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Schulte, Ann C.; Nese, Joseph F. T.; Stevens, Joseph J.; Yel, Nedim; Tindal, Gerald; Anderson, Daniel; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies. The impact estimators are derived using the building blocks of experimental designs with minimal assumptions, and have good statistical properties. The methods apply to randomized controlled trials (RCTs) and…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Kautz, Tim; Schochet, Peter Z.; Tilley, Charles – National Center for Education Evaluation and Regional Assistance, 2017
A new design-based theory has recently been developed to estimate impacts for randomized controlled trials (RCTs) and basic quasi-experimental designs (QEDs) for a wide range of designs used in social policy research (Imbens & Rubin, 2015; Schochet, 2016). These methods use the potential outcomes framework and known features of study designs…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Imbens and Rubin, 2015; Schochet, 2015, 2016). The estimators are derived using the building blocks of experimental designs with minimal assumptions, and are unbiased and normally distributed in large samples…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology

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