This article analyzes the way in which educators and researchers have pronounced themselves for incorporating computer programming in the K-12 curricula (basic and secondary education), recognizing its cognitive benefits in those who practice it, which can be useful in contexts other than computing, by influencing the development of higher order…

This longitudinal study was conducted in order to determine and improve the mental addition strategies of students in their 2nd and 3rd years at elementary school. The first part of the study used the qualitative research method of case study, while the second part adopted the single group pretest-posttest quasi-experimental design. The study…

Background: Multilingual learners have been overlooked and understudied in computer science education research. As the CS for All movement grows, it is essential to design integrated, justice-oriented curricula that help young multilingual learners begin to develop computational thinking skills and discourses. Purpose: We present a conceptual…

Computational thinking (CT) in young children has recently gained attention. This study verified the applicability of the Korean version of the Bebras cards and TACTIC-KIBO in measuring CT among young children in South Korea. A total of 450 children responded to the Bebras cards, TACTIC-KIBO, and Early Numeracy tasks that were used for the…

Programmable robotics is recently used in early childhood education (ECE) to introduce programming and computational thinking (CT) skills. However, there is a further need for research to contrast the efficacy of children's participation in robot programming and traditionally beneficial ECE activities. The present study thus investigated the…

Computational thinking (CT) has been advocated as an essential problem solving skill students need to develop. Emphasizing on CT applied in both programming and everyday contexts, we developed a humanoid robotics curriculum and a computerized assessment instrument. We implemented the curriculum with six classes of 125 fifth graders. Quantitative…

Although computational thinking has most often been associated with the science, technology, engineering, and math education fields, our research takes a first step toward documenting student outcomes associated with integrating and assessing computational thinking in the social studies. In this study, we pursued an embedded research design,…

Computational thinking -- the ability to reformulate and solve problems in ways that can be undertaken by computers -- has been heralded as a foundational capability for the 21st Century. However, there are potentially different ways to conceptualise and measure computational thinking, for instance, as generalized problem solving capabilities or…

A chemical engineering analysis course was modified to include analytics with advanced numerical methods. The course uses the MATLAB computational environment to develop student programming, modeling, analytics, and optimization skills. Case studies reinforce MATLAB, numerical methods, and advanced optimization skills. Students reported confidence…

Molecular-, fluid- and field-dynamics simulation are becoming more mainstream tools for practicing process engineers; here, the academic community needs to pay close attention to "upskilling" demands from industry, where remote working/training emphasizes the need for sophisticated computational-engineering design tools with molecular…

We present our analysis of 254 Calculus I final exams from U.S. colleges and universities to identify features of assessment items that necessitate qualitatively distinct ways of understanding and reasoning. We explore salient features of exemplary tasks from our data set to reveal distinctions between exam items made apparent by our analytical…

Item factor analysis (IFA), also known as Multidimensional Item Response Theory (MIRT), is a general framework for specifying the functional relationship between a respondent's multiple latent traits and their response to assessment items. The key element in MIRT is the relationship between the items and the latent traits, so-called item factor…

Computational thinking (CT) is a set of cognitive skills that every child should acquire. K-12 classrooms are expected to provide students opportunities (tasks) to think computationally. We introduce a CT competency assessment for middle school students. The assessment design process started by establishing a cognitive model of CT domain mastery,…

The construct of Computational Thinking (CT) first emerged to describe problem solving in the context of computing environments, but it has expanded to serve as a set of practices that can be applied across disciplines with or without the use of computers. We recorded students' work during two lab sessions in an undergraduate, biology-engineering…

Cross-validation is a common statistical procedure applied to problems that are otherwise computationally intractable. It is often employed to assess the effectiveness of prediction procedures. In this report, cross-validation is discussed in terms of "U"-statistics. This approach permits consideration of the statistical properties of…