Successful problem solving begins with constructing mental problem representations and the identification of problem characteristics to clarify the solution. The purpose of the current study is to examine the design principles of learning supports promoting mental problem representation in the math problem solving setting. We investigated the…

In this investigation, the extent to which differences were present in the mathematics achievement by the ethnicity/race of Grade 3 students in Texas were analyzed. Data obtained from the Texas Education Agency Public Education Information Management System for all Texas Grade 3 students who took the State of Texas Assessment of Academic Readiness…

Coding (or computer programming) helps equip children with an intellectual structure that is valuable for their lifelong learning and development. The proliferation of innovative coding platforms, especially screen-free programmable robotics, has made it possible for coding to be integrated into early childhood education (ECE). However, how the…

Background: Children's numerical and arithmetic skills differ greatly already at an early age. Although research focusing on accounting for these large individual differences clearly demonstrates that mathematical performance draws upon several cognitive abilities, our knowledge concerning key abilities underlying mathematical skill development is…

Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…

The scope and versatile nature of engineering and technology education as a discipline provide a platform for the integration of computational thinking (CT) into STEM education, accomplishing the goal of bringing not only computer science principles into the K-12 education but also the fundamentals of machine learning (ML) and artificial…

In the previous study the work experience on organization of teaching Robotics to secondary school students at school lessons and in study groups was introduced. This study which was conducted within 2019 and 2021 covered the period of distant learning caused by COVID-19 pandemic and even post-pandemic period, when a part of school students…

Contribution: This study represents the first systematic attempt to develop Science, Technology, Engineering, Arts, and Mathematics (STEAM) integrated project-based learning (PBL) as a transdisciplinary teaching method for fostering students' creativity and computational thinking (CT) skills. Background: With the growing importance of creativity…

Modeling an inter-ring torsional profile of a simple2,2'-bithiophenemolecule has been used to illustrate the main concepts associated with basic molecular modeling within an introductory course in a master's degree on computational modeling. The methodology proposed in the activity has been used to guide and train the student along the classical…

Interaction forces between magnetic fields and current loops play a central role in the theory of magnetism. This work describes a reasonably simple and cheap experiment for demonstrating this issue: the force on a thin coil due to a nearby cylindrical magnet. The magnitude of the force as well as its attractive/repulsive character is comfortably…

An original approach using three appropriate Pythagorean triangles is presented for the detailed mathematical analysis of an ideal conical pendulum. The triangles that are used in this analysis relate specifically to the physical dimensions of the conical pendulum, the magnitudes of the forces acting during the conical pendulum motion and a…

Purpose: Anterior tongue shape during /s/ production is often described as "tip-up" or apical, versus "tipdown" or laminal. Typically, this is determined by observing the shape of the anterior midline tongue. The purpose of this study was to identify methods of curvature calculation that quantify the observed shape differences…

Item Response Theory (IRT) models traditionally assume a normal distribution for ability. Although normality is often a reasonable assumption for ability, it is rarely met for observed scores in educational and psychological measurement. Assumptions regarding ability distribution were previously shown to have an effect on IRT parameter estimation.…

Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data--data created by a user over the course of their everyday life--to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets…

Information quality deficiencies have been detected in occupational safety and health surveys in Europe, which typically gather self-reported data responded by employers or their representatives. For instance, their low response rates and informant profiles make estimations on establishments with safety representatives (SRs) unreliable. We tested…