Data science is a highly interdisciplinary field that comprises various principles, methodologies, and guidelines for the analysis of data. The creation of appropriate curricula that use computational tools and teaching activities is necessary for building skills and knowledge in data science. However, much of the literature about data science…

Background and Context: The Domain-Specific Programming (DSP) platforms EarSketch and TunePad are being used widely in schools for coding novices. Existing studies on both platforms have mainly concentrated on attitudinal changes, leaving a gap in the literature. Objective: The purpose of this research was to advance our understanding of two…

Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi…

We investigate three 8th-grade students' mathematical meanings developed in the context of using linked representations to generate animations of figural models tuned in musical rhythm in "MaLT2," a programmable Turtle Geometry in 3D resource affording dynamic manipulation of variable values. We adopted a modified version of the UDGS…

This paper describes a pilot study that explores students learning how to program via a multi-disciplinary approach. The study participants were eleven 6th grade students who learned programming fundamentals via music activities in a Scratch 3.0 environment. These activities included the programming of familiar melodies and the development of…

Almost all educational systems still rely on traditional teaching methods: children must absorb huge uncorrelated amounts of information from various disciplines, multidisciplinary aspects are not developed, the fun factor is missing in most of the classes. Many children sometimes do not fully understand the presented theoretical concepts and…

Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…

This study used robot-based practices to develop an activity that incorporated the 6E model. The sixth-grade students learned interdisciplinary knowledge about how to use Arduino electronic components, microcontrollers, and hands-on tools to make a "Crab Robot." In addition, the students learned how to use Scratch programming language to…

In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution may be a multidisciplinary approach, integrating computing…

The focus on Computer Science Education at the K-12 level has been increasingly highlighted due to today's need for a populace with computational thinking skills, in addition to the expansion of careers related to computing and computer science. Programming helps facilitate students' examination of the nature of a problem and helps students to…

The excessive exposure to ultraviolet radiation, natural or artificial, is a public health concern. For this reason, it is important that, from an early age, children and teenagers gain awareness of this problem. By not being visible to the human eye, ultraviolet radiation is an abstract concept and difficult to understand, although its short-term…

Increasing the inclusion of underrepresented individuals in coding is an intractable problem, with a variety of initiatives trying to improve the situation. Many of these initiatives involve STEAM education, which combines the arts with traditional STEM disciplines. Evidence is emerging that this approach is making headway on this complex problem.…

We adapted a multidisciplinary, project-based curriculum to introduce high school students to statistical inquiry. We examined student background characteristics, learning experiences, and course outcomes for 30 students aged 12 to 14 entering ninth grade who were involved in a 1-week, accelerated version of a Passion-Driven Statistics curriculum.…

This paper situates a critical review of studies that we have conducted within the broader research literature to analyze the affordances of integrating modeling within disciplinarily-integrated games from computational thinking and science as practice perspectives. Across the studies, the analyses pursue two themes: (a) the role of agent-based…

This paper explores Computational Thinking (CT) through the experiences and interactions of sixth-grade students as they were engaging in a science lesson utilizing robotics. This robotics unit institutes the shifting from traditional to engaging hands-on activities coupled with CT skills that are exciting, intriguing, and inviting to students.…