This study aims to examine the effect of augmented reality-assisted programming education supported by participatory design on the basic and computational thinking skills of preschoolers. In the study, a pretest-posttest single-group semi-experimental design, which is one of the quantitative research methods, was used. The study group of the…

In this paper we present the result of our work on implementation of an interactive environment that can be used to develop adaptive games with animating characters. The environment is designed to run in design and run mode, whereas certain design mode characteristics are still applicable in run mode so that the player can enhance the game and…

Capstone courses, where students work on a large group project at the end of their degree, are common in computing. Many accreditation and industry bodies explicitly require or recommend them. Over the past two decades, capstone courses specifically focused on game development have become increasingly popular. Game development offers students the…

The work presented in this paper examines part of a broader issue in the field of technology-enhanced learning and focused on Massive Open Online Courses environments (MOOC). The main goal is to provide an approach, models and tools to assist teachers in the scenario design process and the operationalization of pedagogical scenarios in a…

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…

Different instructional strategies have been drawn to assist elementary school students in improving computational thinking (CT) skills and student engagement (SE) in unplugged programming activities. This paper aimed to explore how the interactive strategies of unplugged programming affect CT skills and SE. The study was conducted based on a…

Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success.…

Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…

The SQL-Explore Learning Module detailed in this teaching tip provides an opportunity for students to apply database course knowledge beyond solving traditional pre-determined Structured Query Language (SQL) coding questions. In this unique constructivist activity using the apropos 5E Instructional Model, students explore tables to locate data…

Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…

This study aims to examine adaptability for educational games in terms of adaptation elements, components used in creating user profiles, and decision algorithms used for adaptation. For this purpose, articles and full-text papers in Web of Science, Google Scholar, and Eric databases between 2000-2021 were searched using the keywords…

Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

Human beings by nature have a predisposition towards learning and the exploration of the natural world. We are intrinsically intellectual and social beings knitted with adaptive cognitive architectures. As Foot (2014) succinctly sums it up: "humans act collectively, learn by doing, and communicate in and via their actions" and they…

Background and Context: Though still a nascent area of research, serious games have been presented as means of engaging students in computer programming and computational thinking due to their immersive and interactive nature. Existing research is limited in its ability to provide systems based on sound instructional design models, and only a few…