This study investigates how digital game co-creation promotes Computational Thinking (CT) skills among children in sub-urban primary schools. Understanding how CT skills can be fostered in learning programming concepts through co-creating digital games is crucial to determine instructional strategies that match the young students' interests and…

This study used fraction number line estimation tasks to evaluate students' developmental patterns, and the relationship of such tasks with whole number bias was explored. In total, 189 fourth-grade students in a northern Taiwan elementary school were followed over 2 years. The results demonstrated that the students' fraction learning development…

Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…

Having students solve shape puzzles, such as with pattern blocks or tangrams, is a popular way to encourage students to compose shapes in different ways and talk about the effects of different compositions (Clements et al., 2004; Clements & Sarama, 2009; Sales, 1994), meeting Common Core geometry standards in kindergarten through second grade…

Computational thinking is a way of thinking that helps people "think like a computer scientist" to solve practical problems. However, practicing computational thinking through programming is dependent on the problem solvers' metacognition. This study investigated students' metacognitive planning and problem-solving performance in…

Latent transition analysis is an informative statistical tool for depicting heterogeneity in learning as latent profiles. We present a Monte Carlo simulation study to guide researchers in selecting fit indices for identifying the correct number of profiles. We simulated data representing profiles of learners within a typical pre- post- follow…

Our study documents how a Spanish-English bilingual elementary teacher learned computational thinking while working to incorporate it into mathematics and language arts lessons in a bilingual classroom. We classified the elements of the teacher's process into two practices: intentional and unintentional use of computational thinking. Intentional…

In order to assess computational thinking (CT) modules embedded into multiple STEM courses for educators, we created a CT rubric which incorporates key CT components using Bloom's Taxonomy. We implemented the rubric in four different courses in our pre-service STEM education program for elementary and middle school teachers. We analyzed our rubric…

The simple average of student growth scores is often used in accountability systems, but it can be problematic for decision making. When computed using a small/moderate number of students, it can be sensitive to the sample, resulting in inaccurate representations of growth of the students, low year-to-year stability, and inequities for…

This paper explores teacher educators' perceptions and overarching approaches to discipline-specific computational thinking (CT) integration in pre-service teacher education courses. To that end, we collaborated with 31 teacher educators from various teaching backgrounds in a university system in the Northeastern United States. As part of the…

A large part of the environmental problem, which is defined as the ecological footprint, is the carbon footprint. As a matter of fact, the consumption activities of the individual have many destructive and permanent effects on nature. In this research, it is aimed to determine the size of the carbon footprint, which is an important component of…

Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…

Given the connection between problem-solving and computational thinking (CT), studying the connections between these two constructs is critical. This study focused on students' computational problem-solving strategies, specifically how they applied conditional logic to solve CT-related puzzles within a game-based learning environment called…

This study used the RBC+C model to reveal the abstractions of the 6th-grade students in the process of transition to the parallelogram area formula. Also, constructing parallelogram area information was employed as a teaching experiment based on the basic interpretive approach, one of the qualitative research methods. The study participants…

Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…