This paper explores student emotion and learning experiences fostered by lecturing-style instruction in Real-Analysis problem-centered lessons. We focus on two lessons that were taught by two reputable instructors and involved challenging, mathematically-related problems the students did not understand. Nonetheless, one lesson evoked negative…

Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…

A novel course concept to enable master's degree students to acquire research skills is described as an experience report. A hybrid, inquiry-based format was developed to simulate each phase of writing and presenting a research paper at a scientific conference. Students self-organized into groups to conduct each phase of the research process to…

The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…

Physical programming (PP) is defined as the design of interactive physical systems between the real and virtual worlds using a combination of software and hardware. A physical programming platform (PPP) defines a structure that includes hardware and software where such applications can be made. The aim of this study is to introduce the MIDEP…

This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…

This paper summarizes our experience of teaching undergraduate robotic courses in the past ten years. The objective is to introduce students to the fundamental knowledge in robotics. Lecture topics covered subjects in both Autonomous Mobile Robots and Robotic Manipulator. In the lab sessions, students work on physical robots to acquire basic…

This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for…

Algorithmic thinking is considered as one of the important steps toward learning to code for novices in programming education. In this study, algorithmic thinking was promoted by introducing a Problem Analysis Algorithmic Model (PAAM) in an Algorithms and Programming 1 (AP) course. A web-based application is developed to offer the PAAM model in…

Algorithmic Thinking (AT) skills may be considered one of the necessary skills for everyone in the new century. Individuals and societies live in a time when they cannot avoid using information communication technologies (ICT). Hence, they need to be ICT literate. Teachers shall play an important role both for individuals and societies to address…

This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus…

Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…

Background and Context: Though computer science education is marked by a pronounced racial participation gap, there is little research about effective ways that teachers can be supported in creating racially-just and equitable computer science learning opportunities for students. Objectives: This paper examines how teachers engage in learning…

Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…

Despite the perceived value of extracurricular experience, higher education relies heavily on grade point average (GPA) as a measure of undergraduates' academic success. When used as a singular standard assessment, GPA, which is based on student progress and completion of coursework, may inadvertently steer undergraduates away from valuable…