Active and collaborative learning has shown considerable promise for improving student outcomes and reducing group disparities. As one common form of collaborative learning, pair programming is an adapted work practice implemented widely in higher education computing programs. In the classroom setting, it typically involves two computer science…

This paper discusses recent updates and developments of computing-based courses in the civil engineering discipline. Competency in computing is one of the most important capabilities for university graduates to obtain given the rapid development of computer technology in professional work. Civil engineering is no exception. In fact, many…

Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…

Contribution: The information described in this study provides a starting point for discussing an effective robotics curriculum offered by any engineering university or institute. Background: Robotics is a multidisciplinary field that includes mechanical engineering, electrical and electronic engineering, and computer science. Several universities…

Keeping students motivated during an introductory computer programming can be a challenging task. Looking at its varied complexities, many students who are introduced to computer programming for the first time can easily become demotivated. This work looks at the value-expectancy motivational model of student learning and presents our experiences…

Cooperative learning manifests itself as pair programming in coding education. There is a limited number of studies experimentally demonstrating that pair programming is effective in the educational context. Therefore, in this study, solo and pair programming were compared in terms of flow experience, coding quality, and coding achievement. The…

The ability to efficiently optimize or re-optimize an algorithm for high performance on a particular processor architecture is crucial in a wide spectrum of engineering and scientific applications. To help bridge the gap between fully automated optimization, which does not reliably produce optimal code, and fully manual optimization, which is…

Introduction: Differences-in-Differences (DD) is a commonly-used approach in policy evaluation for identifying the impact of an intervention or treatment. Under a parallel trend assumption (PTA), we can recover a causal effect by comparing the difference in outcomes between a treatment and a control group, both before and after an intervention was…

This research seeks to introduce concepts for programming, a key element of computing, to K-12 students. A central goal is to better understand the benefits of concept-integrated game mechanics in teaching basic programming concepts. The context of this research is also one of broadening participation. Thus the studies have been conducted in…

In fact, ever since Seymour Papert (famous in his later years for constructionism, a learning theory that married conceptual constructivism with concrete experience) created Logo programming, many schools have been coding using Logo, the educational computer programming software that has the famous 'turtle' on the computer screen. Importantly,…

Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…

All teachers need ongoing coaching that helps them recognize areas of strength and need for teaching students with disabilities. Unfortunately, the amount, quality, and speed with which teachers receive feedback from coaches, administrators, mentors, or other instructional leaders on their academic and behavior management practices is limited. In…

Intelligent Tutoring Systems (ITSs) are educational systems that reflect knowledge using artificial intelligence implements. In this paper, we give an outline of the Programming-Tutor architectural design with the core implements on user interaction. This pilot proposal is for designing a model domain of a subset in the computer programming…

It is critical to teach all learners to program and think through programming. But to do so requires that early childhood teacher candidates learn to teach computer science. This in turn requires novel pedagogy that can both help such teachers learn the needed skills, but also provide a model for their future teaching. In this study, we examined…

Computational thinking in the educational environment has awaken a rising interest, having been included as part of the curricula from the very beginnings of education. Programmable robots have become a valuable positive resource in order to succeed in the development of computational thinking, demanding proper training from kindergarten teachers…