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Yellamraju, Tarun; Magana, Alejandra J.; Boutin, Mireille – IEEE Transactions on Education, 2019
Contribution: Knowledge of students' Habits of Mind in a signal processing course, and a method for education research. The method identifies factors that may influence students' performance, but are not evident when analyzing agglomerated data; it is an alternative to the traditional case study method as it derives the cases after applying a…
Descriptors: Cognitive Processes, Problem Solving, Thinking Skills, STEM Education
Cabrera, Lautaro – Journal of Technology and Teacher Education, 2019
Computational Thinking (CT) is an increasingly relevant concept that researchers are promoting in formal learning contexts. In their mission to prepare teachers to integrate CT into K-12 schooling, teacher educators would benefit from understanding the different kinds of preconceptions of CT that their students bring to the classroom in order to…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Misconceptions
Sahin, Melek Gülsah; Öztürk, Nagihan Boztunç – International Journal of Assessment Tools in Education, 2019
New statistical methods are being added to the literature as a result of scientific developments each and every day. This study aims at investigating one of these, Maximum Likelihood Score Estimation with Fences (MLEF) method, in ca-MST. The results obtained from this study will contribute to both national and international literature since there…
Descriptors: Maximum Likelihood Statistics, Computation, International Assessment, Foreign Countries
Aktulun, Özgün Uyanik – Journal of Education and Training Studies, 2019
The objective of this study is to perform a validity and reliability examination of Number Sense Screener (NSS) by applying it to Turkish children aged 72-83 months. The universe of this general survey model study was constituted by 72-83-month old children showing normal development and studying at primary schools under the authority of the…
Descriptors: Foreign Countries, Test Validity, Test Reliability, Screening Tests
Bolin, Jocelyn H.; Finch, W. Holmes; Stenger, Rachel – Educational and Psychological Measurement, 2019
Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Maximum Likelihood Statistics
Al-Shehhi, Safiya Abdullah; Emam, Mahmoud Mohamed; Al-Otaiba, Stephanie; Ibrahim, Mahmoud Mohamed; Al-Mehrizi, Rashid – School Psychology International, 2019
In the Arab region, several assessments are available to evaluate student skills in mathematical computations. However, none of them uses formative evaluation to guide universal screening of struggling learners or students with learning disability (LD). The current study aimed to develop mathematical computation curriculum-based measurement…
Descriptors: Curriculum Based Assessment, Mathematics Instruction, Computation, Grade 4
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Richard, Gabriela T.; Giri, Sagun – ACM Transactions on Computing Education, 2019
This article proposes and explores the kinds of computational thinking, creative practices, design activities, and inclusive learning opportunities provided to diverse high school youth when designing integrated systems through simultaneously physically and digitally responsive wearable games and systems. Previous work in this area, conducted by…
Descriptors: High School Students, Computation, Thinking Skills, Creativity
Dalia Alyahya; Amal Alotaibi – Issues and Trends in Educational Technology, 2019
The need to raise achievement levels in mathematics and science has led instructional design researchers to focus on the factors that enhance achievement in these subjects. Understanding of students toward mathematics achievement may guide educators in their efforts to promote achievement by designing learning models that provide the most…
Descriptors: Computation, Thinking Skills, Mathematics Tests, Correlation
James Soland; Yeow Meng Thum – Annenberg Institute for School Reform at Brown University, 2019
Effect sizes in the Cohen's d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However,…
Descriptors: Effect Size, Academic Achievement, Achievement Gains, Gender Differences
Koponen, Tuire; Eklund, Kenneth; Heikkilä, Riikka; Salminen, Jonna; Fuchs, Lynn; Fuchs, Douglas; Aro, Mikko – Child Development, 2020
This study examines the core predictors of the covariance in reading and arithmetic fluency and the domain-general cognitive skills that explain the core predictors and covariance. Seven-year-old Finnish children (N = 200) were assessed on rapid automatized naming (RAN), phonological awareness, letter knowledge, verbal counting, number writing,…
Descriptors: Foreign Countries, Elementary School Students, Grade 2, Reading Fluency
Westine, Carl D.; Unlu, Fatih; Taylor, Joseph; Spybrook, Jessaca; Zhang, Qi; Anderson, Brent – Journal of Research on Educational Effectiveness, 2020
Experimental research in education and training programs typically involves administering treatment to whole groups of individuals. As such, researchers rely on the estimation of design parameter values to conduct power analyses to efficiently plan their studies to detect desired effects. In this study, we present design parameter estimates from a…
Descriptors: Outcome Measures, Science Education, Mathematics Education, Intervention
Taylor, Z. W.; Alsmadi, Izzat – Journal of Interdisciplinary Studies in Education, 2020
In an era of billions of dollars in outstanding student loan debt, researchers have posited that the U.S. News & World Report rankings continue to be an influential source of information for prospective students, yet these rankings do not include college affordability metrics in their ranking algorithm. As a result, this study performed a…
Descriptors: Paying for College, Universities, Institutional Characteristics, Achievement Rating
Begeny, John C.; Codding, Robin S.; Wang, Jiayi; Hida, Rahma M.; Patterson, Sierra L.; Kessler, Sarah; Fields-Turner, Felicia; Ramos, Kimberly A. – Psychology in the Schools, 2020
More than half of students in the USA perform below a proficient level in math. Although evidence suggests that intervention in elementary school is critical to supporting struggling learners, and there are several research-supported instructional practices to support students with math difficulties, the existing research is limited with regard to…
Descriptors: Program Effectiveness, Student Motivation, Mathematics Instruction, Intervention
Gawliczek, Piotr; Krykun, Viktoriia; Tarasenko, Nataliya; Tyshchenko, Maksym; Shapran, Oleksandr – Advanced Education, 2021
The article deals with the innovative, cutting age solution within the language testing realm, namely computer adaptive language testing (CALT) in accordance with the NATO Standardization Agreement 6001 (NATO STANAG 6001) requirements for further implementation in foreign language training of personnel of the Armed Forces of Ukraine (AF of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Language Tests, Second Language Instruction