To broaden participation in robotics education, a free, after-school robotics program has been designed and developed at a public university. As part of a longitudinal study, this paper reports the first iteration of the program, offered to 12 students from Grades 3 through 7 in spring 2022. Three preservice teachers were trained as…

Background: Today, computational thinking (CT), which is considered to be a form of literacy, has taken its place in the ICT curriculum of many countries at the K-12 level. Therefore, there is a need for more evidence with regards to a theoretical and practical understanding of CT skills' development of K-12 students. Objectives: The purpose of…

Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…

Today, teaching strategies and methods changing with technology require a radical transformation in the teaching of science laws, which form the basis of science subjects. In this study, computational thinking skills, which will allow students to use information and communication technologies in today's conditions and the effect of these skills on…

The Federal STEM Education Strategic plan recognizes the importance of building computational literacy today. This document is aligned to the Computational Literacy Interagency Working Group (IWGCL) objectives to: (1) develop a common operational definition; (2) identify existing research on computational literacy; and (3) identify existing…

Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…

This study examines the relationship between teachers' inquiry-based teaching self-efficacy and computational thinking skills. The research was conducted in the survey model, which is the correlational model that reveals the relationship between two variables. The study sample comprised 369 teachers working in Gaziantep with different seniority…

Pharmacy calculations is a course that can be challenging and is often associated with student anxiety about assessments and grades. This study was conducted to determine if student anxiety would be reduced in pharmacy calculations using self-paced, multiple-attempt assessments. Self-paced, multiple-attempt assessments were presented to students…

"TechCheck" is an assessment of Computational Thinking (CT) for early elementary school children consisting of fifteen developmentally appropriate unplugged challenges that probe six CT domains. The first version of "TechCheck" showed good psychometric properties as well as ease of administration and scoring in a validation…

Noncompliance to treatment assignment is widespread in randomized trials and presents challenges in causal inference. In the presence of noncompliance, the most commonly estimated effect of treatment assignment, also known as the intent-to-treat (ITT) effect, is biased. Of interest in this setting is the complier average causal effect (CACE), the…

Building Thinking Classrooms (Liljedahl, 2021) provides teachers with a new method of designing and sequencing tasks called "thin slicing," which emerged from variation theory. The results of the present study indicate that an analysis of the dimensions and ranges of variation within such a task offers insights into learning…

The concentration in K-12 education on higher-order thinking has diminished the importance of math fact automaticity, which is the ability to deliver a correct answer immediately from long-term memory without impeding the working memory. This quantitative study investigated the influence of automaticity of high school students on their Missouri…

Cluster randomized trials (CRTs) are commonly used to evaluate educational interventions, particularly their effectiveness. Recently there has been greater emphasis on using these trials to explore cost-effectiveness. However, methods for establishing the power of cluster randomized cost-effectiveness trials (CRCETs) are limited. This study…

When learning chemistry, students must learn to extract chemical information from mathematical expressions. However, chemistry students' exposure to mathematics often comes primarily from pure mathematics courses, which can lead to knowledge fragmentation and potentially hinder their ability to use mathematics in chemistry. This study examines how…

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both time-independent and time-dependent quantum chemistry, with the latter rarely considered in the foundations course due to topic complexity. We use quantized…