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Filiz Kuskaya Mumcu; Branko Andic; Mirjana Maricic; Mathias Tejera; Zsolt Lavicza – Journal of Educational Technology and Online Learning, 2025
Many education policy strategy documents at the European Union level, as well as national strategies of various countries, recommend including computational thinking as a fundamental skill in curricula. The professional development of teachers should be supported to disseminate computational thinking in K12 education. Teachers' value beliefs about…
Descriptors: Teacher Attitudes, Value Judgment, Beliefs, Computation
Karalar, Halit; Alpaslan, Muhammet Mustafa – International Journal of Computer Science Education in Schools, 2021
The aim of this study was to assess the domain-general CT skills of 8th grade students in Turkey. In the study, first, the domain-general CT scale was adapted to Turkish, and then relations of the CT skills with gender, computer possession, internet access, and programming experience were examined. This survey research was conducted with the 284…
Descriptors: Student Evaluation, Grade 8, Middle School Students, Computation
Levpušcek, Melita Puklek; Cukon, Maja – Center for Educational Policy Studies Journal, 2022
The present study investigated relationships between statistics anxiety (SA), trait anxiety, attitudes towards mathematics and statistics, and academic achievement among university students who had at least one study course related to statistics in their study programme. Five hundred and twelve students from the University of Ljubljana completed…
Descriptors: Statistics Education, Anxiety, Test Anxiety, Gender Differences
Tsai, Meng-Jung; Liang, Jyh-Chong; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2021
Computational thinking has received tremendous attention from computer science educators and educational researchers in the last decade. However, most prior literature defines computational thinking as thinking outcomes rather than thinking processes. Based on Selby and Woodland's framework, this study developed and validated the Computational…
Descriptors: Computation, Thinking Skills, Skill Development, Technological Literacy
Stewart, Christie; Root, Melissa M.; Koriakin, Taylor; Choi, Dowon; Luria, Sarah R.; Bray, Melissa A.; Sassu, Kari; Maykel, Cheryl; O'Rourke, Patricia; Courville, Troy – Journal of Psychoeducational Assessment, 2017
This study investigated developmental gender differences in mathematics achievement, using the child and adolescent portion (ages 6-19 years) of the Kaufman Test of Educational Achievement-Third Edition (KTEA-3). Participants were divided into two age categories: 6 to 11 and 12 to 19. Error categories within the Math Concepts & Applications…
Descriptors: Gender Differences, Error Patterns, Mathematics Tests, Achievement Tests
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Wang, Ze; Rohrer, David; Chuang, Chi-ching; Fujiki, Mayo; Herman, Keith; Reinke, Wendy – Journal of Experimental Education, 2015
This study compared 5 scoring methods in terms of their statistical assumptions. They were then used to score the Teacher Observation of Classroom Adaptation Checklist, a measure consisting of 3 subscales and 21 Likert-type items. The 5 methods used were (a) sum/average scores of items, (b) latent factor scores with continuous indicators, (c)…
Descriptors: Scoring, Check Lists, Comparative Analysis, Differences
Wang, Ze; Rohrer, David; Chuang, Chi-ching; Fujiki, Mayo; Herman, Keith; Reinke, Wendy – Grantee Submission, 2015
This study compared 5 scoring methods in terms of their statistical assumptions. They were then used to score the Teacher Observation of Classroom Adaptation Checklist, a measure consisting of 3 subscales and 21 Likert-type items. The 5 methods used were (a) sum/average scores of items,(b) latent factor scores with continuous indicators, (c)…
Descriptors: Scoring, Check Lists, Differences, Comparative Analysis
Harari, Rachel R.; Vukovic, Rose K.; Bailey, Sean P. – Journal of Experimental Education, 2013
This study explored the nature of mathematics anxiety in a sample of 106 ethnically and linguistically diverse first-grade students. Although much is known about mathematics anxiety in older children and adults, little is known about when mathematics anxiety first emerges or its characteristics in young children. Results from exploratory factor…
Descriptors: Mathematics Anxiety, Elementary School Students, Grade 1, Mathematics Instruction
Haley, Stephen M.; Coster, Wendy J.; Dumas, Helene M.; Fragala-Pinkham, Maria A.; Kramer, Jessica; Ni, Pengsheng; Tian, Feng; Kao, Ying-Chia; Moed, Rich; Ludlow, Larry H. – Developmental Medicine & Child Neurology, 2011
Aim: The aims of the study were to: (1) build new item banks for a revised version of the Pediatric Evaluation of Disability Inventory (PEDI) with four content domains: daily activities, mobility, social/cognitive, and responsibility; and (2) use post-hoc simulations based on the combined normative and disability calibration samples to assess the…
Descriptors: Item Banks, Adaptive Testing, Parents, Correlation
Dykiert, Dominika; Gale, Catharine R.; Deary, Ian J. – Intelligence, 2009
This study investigated the possibility that apparent sex differences in IQ are at least partly created by the degree of sample restriction from the baseline population. We used a nationally representative sample, the 1970 British Cohort Study. Sample sizes varied from 6518 to 11,389 between data-collection sweeps. Principal components analysis of…
Descriptors: Psychological Testing, Cognitive Tests, Intelligence Quotient, Factor Analysis