The purpose of the current study was to explore the effect of modality (constructionist mBlock, Scratch, and Python interventions) on six-grade students' computational thinking, programming attitude, and achievement. The pre-test and post-test quasi-experimental design was used to explore the research questions. The study group consisted of 105…

The U.S. National Institute of Standards and Technology (NIST) identified that approximately 1.8 million cybersecurity positions were vacant in 2021 because of a lack of professionals with the required skill sets and who remained in their jobs long enough to contribute to their organizations' cybersecurity needs. Also shown was the rising global…

Women are underrepresented in science, technology, engineering, and math (STEM) in higher education institutions and the technology field and vulnerable to attrition. The reviewed literature suggests that the impact of other factors, beyond students' academic performance, leading to well-being and success and affecting female students' retention…

Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…

Assessing team software development projects is notoriously difficult and typically based on subjective metrics. To help make assessments more rigorous, we conducted an empirical study to explore relationships between subjective metrics based on peer and instructor assessments, and objective metrics based on GitHub and chat data. We studied 23…

The computer science industry and college degree programs for computer science throughout the country suffer from the "pipeline shrinkage problem", which describes the declining number of qualified people in various industries (Kordaki & Berdousis, 2014). For computer science, the specific population decline relates to a shortage of…

Purpose: The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions.…

Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…

In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…

Background: "21st century learning" is reliant on not only cognitive competencies such as problem-solving, but also interpersonal (e.g., collaboration) and intrapersonal (e.g., self-regulation) competencies. Building on research in K-12/undergraduate contexts, we investigated cognitive, interpersonal, and intrapersonal learning tactics…

Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…

Many K-12 computer science (CS) education initiatives at the local, state, and federal levels have recently started to focus on engaging the young children. Although most CS education research has focused on the secondary level, only minimal research has explored how computer science (CS) and computational thinking (CT) can be taught in elementary…

The teaching of artificial intelligence (AI) has increasingly become a topic of investigation among educational researchers. Studies of AI education have predominantly focused on the university level; less attention has been paid to teaching AI in K-12 classrooms. This study synthesised empirical studies on K-12 AI education, with the aims of…

In this article, we present a conceptual framework for teaching computer science (CS) to address the unique challenges faced by marginalized groups. The framework is grounded in feminist standpoint theory and describes three key practitioner-focused areas aimed at broadening participation and increasing participation in CS education (CSEd). These…

As universities shifted to online education with the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, both pedagogy and assessment patterns across disciplines underwent a change, with a shift towards collaborative digital assessments. In this context, using qualitative and quantitative methods for data collection from an assessment…