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Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education
Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2017
This study defines subpopulation item parameter drift (SIPD) as a change in item parameters over time that is dependent on subpopulations of examinees, and hypothesizes that the presence of SIPD in anchor items is associated with bias and/or lack of invariance in three psychometric outcomes. Results show that SIPD in anchor items is associated…
Descriptors: Psychometrics, Test Items, Item Response Theory, Hypothesis Testing
Mesa, Jennifer – Science and Children, 2018
As an instructional framework, Universal Design for Learning (UDL) can guide science teachers to purposefully apply evidence-based instructional practices to increase engagement and learning of students with disabilities (Israel, Ribuffo, and Smith 2014; Marino et al. 2014; Ok et al. 2016). This article describes how to use the Universal Design…
Descriptors: Science Instruction, Access to Education, Barriers, Student Needs
Schatschneider, Christopher; Wagner, Richard K.; Hart, Sara A.; Tighe, Elizabeth L. – Scientific Studies of Reading, 2016
The present study employed data simulation techniques to investigate the 1-year stability of alternative classification schemes for identifying children with reading disabilities. Classification schemes investigated include low performance, unexpected low performance, dual-discrepancy, and a rudimentary form of constellation model of reading…
Descriptors: Reading Difficulties, Learning Disabilities, At Risk Students, Disability Identification
Vasquez, Eleazar, III; Nagendran, Arjun; Welch, Gregory F.; Marino, Matthew T.; Hughes, Darin E.; Koch, Aaron; Delisio, Lauren – Rural Special Education Quarterly, 2015
Students with autism spectrum disorder (ASD) show varying levels of impairment in social skills situations. Interventions have been developed utilizing virtual environments (VEs) to teach and improve social skills. This article presents a systematic literature review of peer-reviewed journal articles focusing on social interventions in VEs…
Descriptors: Case Studies, Virtual Classrooms, Disabilities, Pervasive Developmental Disorders
Li, Feiming; Cohen, Allan S.; Kim, Seock-Ho; Cho, Sun-Joo – Applied Psychological Measurement, 2009
This study examines model selection indices for use with dichotomous mixture item response theory (IRT) models. Five indices are considered: Akaike's information coefficient (AIC), Bayesian information coefficient (BIC), deviance information coefficient (DIC), pseudo-Bayes factor (PsBF), and posterior predictive model checks (PPMC). The five…
Descriptors: Item Response Theory, Models, Selection, Methods
Watson, John F. – North American Council for Online Learning, 2007
Online learning is growing rapidly across the United States within all levels of education, as more and more students and educators become familiar with the benefits of learning unconstrained by time and place. Across most states and all grade levels, students are finding increased opportunity, flexibility, and convenience through online learning.…
Descriptors: Definitions, Educational Resources, Student Evaluation, Educational Assessment