Texts presenting novel numerical data can shift learners' attitudes and conceptions about controversial science topics. However, little is known about the mechanisms underlying this conceptual change. The purpose of this study was to investigate two potential mechanisms that underlie learning from novel data: numerical estimation skills and…

Computational thinking is recognized as a vital skill related to problem-solving in technological and non-technological fields. The existence of different sub-domains related to this skill has been pointed out. Therefore, there is a need for tools that measure these different sub-domains. Because of its structure that includes different skills,…

Recent work has probed the developmental mechanisms that promote fair sharing. This work investigated 2.5- to 5.5-year-olds' (N = 316; 52% female; 79% White; data collected 2016-2018) sharing behavior in relation to three cognitive correlates: number knowledge, working memory, and cognitive control. In contrast to working memory and cognitive…

This paper examined the effect of the Unplugged Programming Teaching Aids (UPTA) on students' computational thinking and classroom interaction. A set of UPTA was created and used in a primary school in southern China. A total of 48 students aged 6-8 were assigned to two classes, with the same instructor and learning materials, but only the…

Background/purpose: At the beginning of the 21st century, Computational Thinking (CT) and coding were typically considered part of secondary education programs, focusing on programming and algorithm development. The early childhood classroom was not expected to find students who developed coding skills. Nevertheless, as has been the case lately,…

After Jeanette Wing in 2006 described computational thinking (CT) as a fundamental skill for everyone just like reading or arithmetic, it has become a widely discussed topic all over the world. Computational thinking is a problem-solving skill set that is used to tackle problems in computer science. However, these skills, such as pattern…

The purpose of this resource is to unpack Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3D to better understand how to use it to improve outcomes for children with individualized education programs (IEPs). Indicator 3D is a new subcomponent of Indicator 3 in the Office of Special Education Programs' (OSEP) FFY…

We describe a remote pedagogical approach based on chemical thinking to study metal-carbonyl complexes by analyzing simulated IR spectra. The proposed approach, implemented due to the COVID-19 pandemic, can be employed in classrooms that have very limited laboratory equipment for evaluating toxic metal-carbonyl compounds, as well as for…

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…