The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences…

The increased presence of technology in all aspects of daily life makes computational thinking a necessary skill. Predictions say that the rising need for computational thinkers will be unmet by computer science graduates. An e-textile learning module, based on principles of constructionism, was designed as a method to develop computational…

This study aimed to investigate the effects of gender pairings on collaborative problem-solving performance, processes, and attitudes in a social learning context. Three types of pairings (i.e., male-male, female-female, and mixed pairings) were considered in an empirical study with 222 tenth-grade students. The selection of three different…

Massive Open Online Courses (MOOCs) can be enhanced with the so-called learning-by-doing, designing the courses in a way that the learners are involved in a more active way in the learning process. Within the options for increasing learners' interaction in MOOCs, it is possible to integrate (third-party) external tools as part of the instructional…

This study investigates students' performance, perception and acceptance when experiential learning approaches are integrated in Computer Science courses. An experiential learning approach has been designed to assist students in web development courses. The proposed learning approach in based on real-world examples and the abstraction of…

Digitalization in combination with the shortage of skilled workers is a significant challenge that has to be faced. Especially the IT sector is characterized by agile and complex developments. In this context, academic further training of IT specialists is crucial to meet the requirements of the IT labor market. The University of Applied Science…

There are many paradigms available to address the unique and complex problems introduced with parallel programming. These complexities have implications for computer science education as ubiquitous multi-core computers drive the need for programmers to understand parallelism. One major obstacle to student learning of parallel programming is that…

Games are a great source of entertainment and are used by people of all ages; they motivate and engage people and affect their behavior. Therefore, games have been widely studied in many non-game contexts. Education is one of those areas where gamified, and game-based learning strategies have been implemented and explored. To engage and motivate…

The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…

Scaffolds establish a cognitive connection with the students and what they want to express. Supporting the collaborative knowledge building process with scaffolds is crucial for the participation and continuity in the online discussions. In this research, where a quasi-experimental design is used, the contributions of the students in the online…

This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded…

In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…

Despite STEM education communities recognizing the importance of integrating computational thinking (CT) into high school curricula, computation still remains a separate area of study in K-12 contexts. In addition, much of the research on CT has focused on creating generally agreed-upon definitions and curricula, but few studies have empirically…

Computer science and computer science education are marked by gender and racial disparities. To increase the number and diversity of students engaging in computer science, young children need opportunities to develop interest and foundational understandings, including computational thinking (CT). Accordingly, elementary teachers need to understand…

Background: Programming a computer is an increasingly valuable skill, but dropout and failure rates in introductory programming courses are regularly as high as 50%. Like many fields, programming requires students to learn complex problem-solving procedures from instructors who tend to have tacit knowledge about low-level procedures that they have…