High-performance computing (HPC) has become a strategic resource that drives innovation and economic growth. In addition, it is important to educate a workforce with advanced computational skills to maintain economic competitiveness. In this project, we studied 133 domestic and international university HPC centers to understand the status of HPC.…

Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To…

The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The…

The interest in Computational Thinking (CT) development among young learners increases with the number of studies located in literature. In this study, a meta-analysis was conducted to address two main objectives: (a) the effectiveness of empirical interventions on the development of CT in children aged of 3-8 years; and (b) the variables that…

This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…

As the impact of digital technologies pervades on our lives at all levels, it is important for students to develop their digital literacy. Computational thinking (CT) education is one pathway helping young students to thrive in the digital world. CT is a critical reasoning process whereby people formulate and solve problems using computers. CT…

Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

This research aims to develop a combining game-based learning with design thinking using block-based programming to enhance computational thinking and creative games for primary students and will be referred to as game-based learning from now on. The purpose of this research is to 1) develop a model for game-based learning, 2) develop the system…

The cross-classified data structure is ubiquitous in education, psychology, and health outcome sciences. In these areas, assessment instruments that are made up of multiple items are frequently used to measure latent constructs. The presence of both the cross-classified structure and multivariate categorical outcomes leads to the so-called…

Educational robotics has been adopted to create interactive and engaging learning environments to develop computational thinking (CT) in K-12 learners. This study systematically examined 22 peer-reviewed empirical research articles on the use of educational robotics to develop CT in young learners (pre-kindergarten to 6th grade) published between…

The relationship between computational thinking (CT) and academic self-efficacy for building students' academic resilience--a trait crucial for problem-solving, peer relationships, and confidence development--was investigated. A mixed-methods approach was employed in a study involving 60 participants; half were given CT instruction and half were…

Electronic textiles (e-textiles) weave computational and electronic components into fabric, enabling students to design and build fabric-based projects that interact with their surroundings. This meshing of physical hardware and virtual software can be difficult for students to untangle when debugging. Is an LED failing to light up because of an…

Knowledge-producing practices in sciences and engineering increasingly use computational means for modeling and working with data. Despite consensus regarding the importance of computational thinking in science and engineering, scholars differ in conceptualization of the primary purposes and role of its integration in K-12 science (Kafai &…

Although Computational Thinking (CT) is considered an essential 21st century skill, little is known about teaching CT to students with autism spectrum disorder (ASD) and/or attention deficit/hyperactivity disorder (ADHD). To address this gap in the research, we conducted a scoping review to identify those approaches promoting programming skills…

The authors present a Web application they designed in the R programming language as an experiential learning tool for teaching production theory. The app simulates production decisions where a manager is tasked to find the optimal mixture of inputs through experimentation. Users of the application are instructed to use calculations and intuitions…