Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…

As we talked with school teachers about the use of physical computing systems in class, one major drawback of these systems became obvious: almost nobody--next to enthusiastic autodidacts--has been able to tell us on an abstract basis for which educational purposes a certain physical computing system can be used, i.e. in a goal-oriented way. This…

Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…

Transitioning to university is recognised as a challenging endeavour for commencing students. For commencing Computer Science students specifically, evidence suggests a link between poor performance in introductory technical courses, such as programming, and high attrition rates. Building resilience in students, particularly at the start of their…

This paper presents the Screencast-Based Assessment Technique (SBAT) for a mobile app development curriculum in the information systems discipline. SBAT was implemented as a midterm take-home exam in which students design and develop an app project based on their own interests, passions, or ambitions. In addition to coding, students must create…

At the heart of van der Linden's approach to automated test assembly (ATA) is a linear programming/integer programming (LP/IP) problem. A variety of IP solvers are available, ranging in cost from free to hundreds of thousands of dollars. In this paper, I compare several approaches to solving the underlying IP problem. These approaches range from…

The growth in the tech industry in recent years has increased business major students' interest in software programming and app development. However, the traditional way of teaching these courses involves intensive coding exercises and little interaction among students. These methods often discourage the students due to the slow learning curve and…

This article presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using Usability Metric for User Experience questionnaire, analyses of participant…

Problems associated with time-cost trade-offs in project networks, which are commonly referred to as crashing problems, date back nearly 60 years. Many prominent management science textbooks provide a traditional linear programming (LP) formulation for a classic project crashing problem, in which the time-cost trade-off for each activity is…

R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…

The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…

Contribution: A first-year programming course was redesigned with a large, open-ended robotics project. The course design aligns with best practices for promoting development of students' self-efficacy in solving ill-structured software design problems. Background: From Jonassen's theory, problem-solving outcomes are dependent on the problem…

Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This…

Making students become intrinsically motivated to participate in daily class activities is an open challenge that has been addressed in different ways. In this article, we evaluate the impact of an educational innovation project, named TrivialCV, in terms of student motivation, engagement, and learning outcomes. We analyze the impact of two types…

Background and Context: Researchers and practitioners have begun to incorporate collaboration in programming because of its reported instructional and professional benefits. However, younger students need guidance on how to collaborate in environments that require substantial interpersonal interaction and negotiation. Previous research indicates…