We developed a near-peer mentoring model for high school youth to mentor middle school youth on how to program using MIT App Inventor. The purpose of this study was to investigate: (a) the effectiveness of the near-peer mentoring model for the mentees; and (b) how the mentees' vicarious experience with the near-peer mentors led to changes in their…

The adoption of computational thinking in the classroom has been growing in the last years. Its use needs to be supported by the correct digital technologies and teaching methods, and for this, is required, capable teachers. This work aims to understand how computational thinking is addressed by Computer Science Teacher Education courses in…

Contribution: In this study, an alternative educational approach for introducing quantum computing to a wider audience is highlighted. The proposed methodology considers quantum computing as a generalized probability theory rather than a field emanating from physics and utilizes quantum programming as an educational tool to reinforce the learning…

This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…

Block-based programing languages (BBPL) provide effective scaffolding for K-12 students to learn computational thinking. However, the output-based assessment in BBPL learning is insufficient as we can not understand how students learn and what mistakes they have had. This study aims to propose a data-driven method that provides insight into…

Many organizations are providing employee training to raise security awareness as data breaches increase. Organizational digital transformation has accelerated, especially during the COVID-19 outbreak. It has made the technology industry a prime target for cyberattacks. Although more organizations invest in cybersecurity training, data breaches…

The Question answering (QA) system plays a basic role in the acquisition of information and the e-learning environment is considered to be the field that is most in need of the question-answering system to help learners ask questions in natural language and get answers in short periods of time. The main problem in this context is how to understand…

Aim/Purpose: The key objective of this research is to examine whether fix-and-play educational games improve students' performance in learning programming languages. We also quantified the flow experiences of the students and analyzed how the flow contributes to their academic performances. Background: Traditionally, learning the first computer…

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…

To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…

Successful development of an information system to solve a business problem depends on the analyst's ability to elicit system requirements from a user. This complex competency could be trained via critical peer evaluation of the requirements elicitation (RE) interviews. In this study, 294 students across four pre-pandemic and two COVID-19…

STEM and computer science (CS) education are some of the most important research topics of the last decade. The idea that CS should be a part of STEM is becoming more and more common. The most important goals of integrating CS into STEM are to develop students' computational thinking (CT) and problem-solving skills. STEM education creates a…

The importance of developing individuals' computational thinking (CT) skills has given rise to many practices and research and development initiatives. Although there is a considerable volume of research on improving students' CT skills, remarkably little is known about teachers' design work to improve students' CT skills. This multiple case study…

For 2 weeks in the summer of 2018, K-12 STEM teachers (n = 40) attended a professional development (PD) that included four sessions focused on computer science modeling with follow-up academic year sessions; however, overall, the teachers did not meet expectations about what modeling means or how to utilize it. To examine why, the authors looked…

The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…