Scrum is one of the most used frameworks for agile software development because of its potential improvements in productivity, quality, and client satisfaction. Academia has also focussed on teaching Scrum practices to prepare students to face common software engineering challenges and facilitate their insertion in professional contexts.…

Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…

Background: Computational thinking (CT) is crucial to fostering critical thinking and problem-solving skills. Many elementary schools have been cultivating students' CT through block-based programming languages such as Scratch using traditional teacher-centered teaching methods. However, the approach excessively relies on teacher lectures, so the…

RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…

Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…

Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…

This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…

Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…

This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…

Several studies have focused on how in-person informal CS learning programs like summer camps and after-school programs impact Black girls' intent to persist in Computer Science; however, virtual informal CS learning programs remain to be studied. This mixed-methods study uses Intersectional Computing and Social Cognitive Career Theory to examine…

This study examined the effect of learning in a computerized environment that includes simulations on the students' achievements and motivation, and is based on models that show that learning through simulation has more potential to promote the comprehension of abstract principles and concepts than traditional learning does. The theoretical…

Computational thinking (CT) and modeling are authentic practices that scientists and engineers use frequently in their daily work. Advances in computing technologies have further emphasized the centrality of modeling in science by making computationally enabled model use and construction more accessible to scientists. As such, it is important for…

This article describes the design and initial implementation of a multidisciplinary, integrative learning course on the art and science of virtual worlds. The course combines complementary disciplines -- Computing, Physics, and Narrative Art -- in a single general education course for first-year students. The course attempts to incorporate…

This quasi-experimental study was conducted to investigate the effectiveness of PBL (problem-based learning) in a Flipped-Blended learning environment for improving the performance in a Computer Application Course of Bachelor of Economics for first year students at the Muhammadiyah School of Economics Jakarta, Indonesia. The respondents of this…

Purpose: The purpose of this paper is to explore the use of a simulator for teaching programming to foster student engagement and meaningful learning. Design/methodology/approach: An exploratory mixed-method research approach was adopted in a classroom-based environment at a UK university. A rich account of student engagement dimensions…