Computational thinking (CT) has emerged as a foundational skill for young learners, preparing them to navigate and contribute to an increasingly digital world. This bibliometric analysis utilizes 374 articles from the Web of Science database to explore the research landscape surrounding CT in children's learning, focusing on its applications in…

When the studies on the effectiveness of visual programming language are examined, it is seen that studies on coding teaching have been carried out frequently recently. In this study, Scratch was used as a teaching tool in teaching science lessons. In this way, a new perspective has been brought to Scratch applications. In the related study, the…

Challenge: The Hodgkin-Huxley membrane conductance model has been featured in biomedical engineering (BME) curricula for decades. A typical BME assignment might require students to apply the relevant equations and parameters to model the generation of action potentials; however, there is opportunity for students to build and explore both…

Code.org is a leading non-profit organization providing professional learning (PL) for K-12 teachers across the United States to advance computer science (CS) education. While PL is known to improve teaching practices and student outcomes in general education, CS, and gifted education, limited research has specifically examined how CS-focused PL…

Computational thinking (CT) is a critical 21st-century skill that equips undergraduate students to solve problems systematically and think algorithmically. A key component of CT is computational creativity, which enables students to generate novel solutions within programming constraints. Humanoid robots are increasingly explored as promising…

The introductory programming disciplines, which include the teaching of algorithms and computational logic, have high failure and dropout rates. Developing Computational Thinking in students can contribute to learning programming fundamentals by building algorithmic and problem-solving skills. However, keeping students engaged in training such…

Numerous international studies have reported the importance of the home numeracy environment in promoting early math skills in preschool children; however, there is a lack of research in the Cuban context. The present descriptive study investigated the relationship between counting skills of 100 4-year-old Cuban preschoolers and the influence of…

We examined how generalized and mathematics-specific language skills predicted the word-problem performance of students with mathematics difficulty. Participants were 325 third-grade students in the southwestern United States who performed at or below the 25th percentile on a word-problem measure. We assessed generalized language skills in word…

In this paper, we are interested in the learning outcomes from undergraduate students' digital experiences of conducting multiple pure and applied mathematics investigations supported by programming technology. Our case study encompasses a sequence of three project-based mathematics courses implemented for over 20 years at Brock University. We…

Computational thinking (CT) has been argued as an essential skill for all students, critical to surviving in the 21st-century era and navigating through a more digital world. Understanding the impact of variables such as gender and age on the development of problem-solving skills is essential for creating equal educational experiences. This…

In this paper, we present data from two iterative teaching experiments involving students' constructions of four basic counting problems. The teaching experiments were designed to leverage the generalizing activities of relating and extending to provide students with opportunities to reflect on initial combinatorial activity when constructing…

In this work, we venture to show how careful use of a program for quantum chemical calculations (such as VASP) may enrich teaching in solid-state chemistry and how principles of thermodynamics contribute to a validation of phase diagrams and reaction pathways using the quasiternary system Li[subscript 2]O-Al[subscript 2]O[subscript…

Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…

Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed…

Nonlinear mixed-effects models are models in which one or more coefficients of the growth model enter in a nonlinear manner, such as appearing in the exponent of the growth function. In their applications, the within-individual residuals are often assumed to be independent with constant variance across time, an assumption that implies that the…