Physical education teachers who are looking for creative activities that engage students and that meet national and state standards for learning, may find "Balls and Beats" as a perfect solution. "Balls and Beats", in a fun and dynamic atmosphere, covers all the basic needs for effective student learning based upon the the…

We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…

Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…

By focusing on food and a pervasive contaminant, this experiment engages student interest and effort while providing essential instruction and experience. As institutions are challenged by existing and emerging budgetary constraints, this experiment offers a determination approach employing commonly available instrumentation, the graphite furnace…

As Information and Communication Technology (ICT) literacy education has recently shifted to fostering computing thinking ability as well as ICT use, many countries are conducting research on national curriculum and evaluation. In this study, we measured Korean students' ICT literacy levels by using the national measurement tool that assesses…

This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…

Background: Standard methods for analysing data from large-scale assessments (LSA) cannot merely be adopted if hierarchical (or multilevel) regression modelling should be applied. Currently various approaches exist; they all follow generally a design-based model of estimation using the pseudo maximum likelihood method and adjusted weights for the…

This article investigates how the recent implementation of programming in school mathematics interacts with algebraic thinking and learning. Based on Duval's theory of semiotic representations, we analyze in what ways syntax and semantics of programming languages are aligned with or divert from corresponding algebraic symbolism. Three examples of…

Background and Context: This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective: The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and…

Several studies have shown that Rapid Automatised Naming (RAN) is an important reading predictor. However, it has also been found that RAN is a valid predictor of mathematical performance. This study explores the relationship between RAN, counting and arithmetic fluency in Chilean first graders. A total of 102 participants were evaluated with RAN…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

The purpose of this study is to determine the effect of coding instruction performed with the Lego Mindstorms EV3 robotic set on students' attitudes towards coding and their perceptions of computational thinking skills self-efficacy. Single group experimental research design was used in the research. The study group of the research consisted of 30…

While computational chemistry continues to play a growing role in chemical research, issues with access and the timing of when these tools are introduced to chemistry students remain as barriers to wider interest and use. The accessibility of free software for chemical modeling has increased in recent years, promoting the inclusion of…

High School graduation rates are key indicators of accountability for high schools and school districts in Oregon. Beginning with the 2008-09 school year, the Oregon Department of Education (ODE) implemented the cohort method of calculating graduation rates. The cohort method identifies the year the student entered high school for the first time…

Computational thinking (CT) has emerged as a key topic of interest in K-12 education. Children that are exposed at an early age to STEM curriculum, such as computer programming and computational thinking, demonstrate fewer obstacles entering technical fields. Increased knowledge of programming and computation in early childhood is also associated…