Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…

No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…

Despite the importance of computer science education and computational thinking, there have been limited examples of computer science education at K-12 classrooms that authentically represents the work of computer scientists, especially programming. One reason is the lack of a measurable definition of computational thinking and a programming…

Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…

Contribution: This article identifies the participation of external stakeholders as a key contributing factor for positive outcomes in project-based software engineering courses. A model for overlapping virtuous circles of lasting positive impact on both stakeholders and students from such courses is proposed. Background: Project-based courses are…

In the Winter semester of 2020 during a multimedia design and production class for pre-service teachers, the students were introduced to basic computer coding concepts such as variables, conditional statements, various expressions, logic, and syntax. For their final project, the students were asked to create an interactive instructional app using…

New York City is one of several large school districts around the country that are actively working to promote "computer science for all" students. Launched in 2015, NYC's CS4All initiative aims to ensure that all public school students learn computer science--especially female, Black, and Latinx students, who are starkly…

In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…

Background and Context: Despite over 30 years of research on broadening participation, women are still underrepresented in Computer Science (CS) education. While enrolment in CS majors has increased, women earn only 18% of the CS baccalaureate degrees in the US. Objective: Most research focuses on why women leave CS. This study explores factors…

This study is designed to reveal the research trends of graduate theses published in the field of computer programming in K-12 between 2018 and 2022. Document analysis was used for data collection in this study. The data was divided into 9 categories, and the results demonstrated that the scholars in the Departments of Computer Educational and…

Many women do not work in science, technology, engineering, and mathematics (STEM) occupations even though they have degrees in these subjects. To shed light on this problem, we use information from the German Graduate Panel and show a significant gender gap among STEM graduates working in degree-related occupations after graduation. Therefore, we…

Background: Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perception, and gaps between groups of students? Methodology: We investigate a CS-curricular…

Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…

This article aims to identify the challenges and opportunities in cross-program problem-based learning (PBL) in higher education, based on an Industry 4.0 case with undergraduate and graduate students studying for engineering degrees. The method for this research comprised a cross-program course structured to bring together undergraduate and…

There is growing attention to the potential for developing professional learning experiences for content area teachers to infuse computational thinking (CT), which refers to the set of problem-solving practices related to the computer science discipline, into their classrooms. Although research has begun to document professional learning models…