Computational thinking, a critical cognitive process from computer science, has gained prominent role in various academic domains, particularly mathematics. It involves problem decomposition, pattern recognition, algorithmic thinking, and abstraction. While previous studies have extensively explored computational thinking at the primary and…

Achieving the ambition of global science education reforms remains an ongoing challenge. Ideas from other STEM domains, however, could spur needed innovation in science education. The maker movement -- or engaging in making -- and computer science education -- or learning computing -- have proven rich contexts for STEM learning. This review…

This study examined maternal support of children's math learning at 36 months (n = 140) as a mediator of the association between early childhood family income and children's counting and calculation skills at 4½ and 6-7 years. Family income was associated with this measure of children's math school readiness, but the association was almost…

Complex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide a powerful means to investigate emergent phenomena in complex systems. Some research has been carried out in recent years about promoting students' modeling practices, specifically using…

It is likely to observe that the increase in data and the interrelated challenges in digital age complicates the problems to be encountered. Therefore, unprecedented problem-solving skills have become inevitable. Though dating back to old times, computational thinking skill is defined as a recent skill area that is required by everybody, that can…

We examine a hypothesis implied by Steffe's constructivist model of children's numerical reasoning: a child's "spontaneous" additive strategy may relate to a foundational form of multiplicative reasoning, termed multiplicative double counting (mDC). To this end, we mix quantitative and qualitative analyses of 31 fourth graders' responses…

KR-21 reliability and its extension (coefficient [alpha]) gives the reliability estimate of test scores under the assumption of tau-equivalent forms. KR-21 reliability gives the reliability estimate for summed scores for dichotomous items when items are randomly sampled from an infinite pool of similar items (randomly parallel forms). The article…

Small area estimation (SAE) plays a crucial role in the social sciences due to the growing need for reliable and accurate estimates for small domains. In the study of well-being, for example, policy makers need detailed information about the geographical distribution of a range of social indicators. We investigate data dimensionality reduction…

This paper describes an educational experience realized in the form of extracurricular workshops involving music technology students of the "V. Gambara" music high school in Brescia (Italy). By means of a participatory prototyping experience, the project aimed at fostering the students awareness and understanding of technological means…

In undergraduate chemistry curricula that include computational modeling, students may gain first-hand experience in both introductory and advanced applications of this technique. However, although students can be exposed to the predictive power of computational work, its capabilities are often limited to determining the intrinsic properties of…

The current study aimed to investigate the relationship between middle school students' science course attitudes and robotics attitudes. To this end, the correlational survey model was used. The study group of the current study is comprised of 220 students attending middle schools in the 2019-2020 school year. In the study, the "Science…

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three…

This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student…

Intuition is the first way humans get knowledge. A worker in making a traditional West Java house works using his experience to be able to determine how many building materials are needed to become a house. The roof of the house is one part that is quite complicated to determine the amount of wood needed. Workers using intuition based on…

The present study is based on a teaching-module designed to introduce computational thinking (CT) to pre-service teachers pursuing MA degrees at a large-scale university in Ankara, Turkey. It aims to explore Turkish pre-service teachers' perceptions and integration of CT in different disciplines through CT-based tasks. Pre- and post-attitude…