This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS course offerings across high schools. Our findings…

Artificial intelligence (AI) technology has made a significant impact on technological progress and has been integrated into various sectors and organizations. As a result, developing a workforce with knowledge and expertise in AI has become necessary. Skilled AI professionals will play a critical role in driving economic growth and…

In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…

Prior to the COVID-19 pandemic, Computer Science and STEM-related fields were among the most resistant to online courses. This is because of a perception of the need for more hands-on instruction with labs, clinicals, field studies, etc. Additionally, many STEM students had perceptions based on limited experience of an online STEM course.…

Where do Black and Brown STEM doctoral students want to live post-graduation and what are their criteria for making these decisions? This study explored the decision-making process of doctoral students and graduates with respect to their future career destinations. It investigated the regions that were most appealing to racially underrepresented…

Computer modeling promotes mechanistic reasoning when learners build and analyze models of complex systems to explore causal mechanisms and use models to generate patterns. StarLogo Nova (SLN), an agent-based modeling (ABM) environment, enables novice programmers to model a system's individual components and investigate its emergent, collective…

Computer Science Unplugged (CS-Unplugged) has been evolving in computer science education. It is a promising approach especially for introductory programming skills and computer science concepts. The skills of the computer science instructors/teachers, who convert the approach into practice, can be crucial during the preparation of CS-Unplugged…

"cpm.4.CSE/IRT" ("c"ompact "p"rocess "m"odel for "C"ompetence "S"cience "E"ducation based on "IRT" models) is a process model for competence measurement based on IRT models. It allows the efficient development of measuring instruments for computer science education.…

Cybersecurity capabilities in organizations and governmental agencies continue to lag behind the threats. Given the current environment, these entities have placed renewed emphasis on cybersecurity education. However, education appears to lack its full potential in most settings. Few empirical studies have systematically tested the efficacy of…

Social engineering is a large problem in our modern technological world, but while conceptually understood, it is harder to teach compared to traditional pen testing techniques. This research details a class project where students implemented a phishing exercise against real-world targets. Through cooperation with an external corporate partner,…

In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…

Help-seeking is an important self-regulated learning strategy and skill for effective learning. Studies have found that some students have poor help-seeking behaviors and that this leads to poor learning performance. Some researchers have developed help-seeking regulation mechanisms to detect and regulate students' poor help-seeking behaviors.…

Contribution: This article details a systematic study to investigate knowledge that graduate students have about reliability and safety engineering (RSE), comparing it with industry expectations. Background: Reliability and safety have always been the main focus while developing safety-critical systems (SCS). An interview study was conducted with…

Contribution: This article provides evidence on the effectiveness of game-based learning (GBL) for computer science education when using educational video games created by teachers using authoring tools. Background: Although teacher-oriented authoring tools for creating educational video games can help overcome the main barriers hampering the use…

The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…