This teaching tip offers valuable insights into establishing a GenCyber student camp in underserved communities. It provides teaching tips and best practices for designing a curriculum tailored to high school students. The study highlights effective strategies for recruiting a diverse group of participants, addressing the global shortage in the…

This study evaluated the implementation and impact of the School of Interactive Arts (SIA), a scalable, in-class instructional model designed to introduce high school students to computer science and video game design through a virtual platform called Ghost School. Conducted in New York City Department of Education public high schools, the study…

In a nationwide initiative to increase computer science Education in K-12, many teachers were recruited to CS teaching positions but without adequate preparation, which can lead to lack of confidence and feelings of isolation [35, 54]. In response to these issues, the purpose of this study was to determine the effectiveness of a newly developed…

The research objectives were to 1) study the current conditions, problems, and good practices regarding teaching and learning 2) develop a blended instructional model using problem-based learning with graphic organizers to enhance systems thinking skills in computational science for students in lower secondary school and 3) study the results of…

To address racial and gender inequality in K-12 computer science (CS) education, there needs to be a multi-pronged approach. In addition to curricula that are culturally responsive and sustaining inclusive, K-12 CS teachers need to be equipped to implement the curriculum, pedagogy, and instruction to mitigate the racial and gender gaps in…

This study investigates how integrating STEM content in computer science education enhances the implementation of Universal Design for Learning (UDL) principles and its impact on digital competence development in Ukrainian secondary schools. The digital transformation of education demands innovative pedagogical approaches that accommodate diverse…

Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…

The purpose of the current study was to evaluate the undergraduate program of the Computer Education and Instructional Technology (CEIT) Department. CEIT department is an undergraduate program that trains information technology teachers. The study group of the study, which was designed according to the descriptive research model, was consisted of…

The EIR-funded Work-Based Learning for Computer Science (WBL4CS) grant implemented a three-course, two-year Computer Science (CS) pathway in 20 Rhode Island High Schools. Evaluators from Education Development Center (EDC) employed a cluster randomized controlled trial to study the impact of integrating a Work-Based Learning course into the first…

Background and Context: Although computing is a highly sought-after skill set in our modern economy, certain individuals are under represented in computer science (CS) courses and careers. The integration of visual and performing arts in K-12 CS education has been gaining "STEAM" as a viable strategy for making computing more inclusive.…

STEM education aims to develop 21st-century skills, support economic growth and promote gender equality in STEM fields. It is known that gender stereotypes play a significant role in the formation of STEM identity. The most important factor preventing some high school-level female students from pursuing STEM careers is their lack of participation…

The purpose of this quasi-experimental design study was to investigate and compare flipped learning (FL) and traditional learning (TL), and how FL impacts on student performance, participation and perceptions in higher education in Saudi Arabia. FL as an instructional approach has received much attention as a way to center learning on students in…

Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…

This study examines the effects of interactive and collaborative digital training applications on teachers' academic performance, utilizing the Technology Acceptance Model and collaborative learning theories. A total of 219 government school computer teachers participated in an online training program through Microsoft Teams, employing a…

This report describes the evaluation of Lone Star AP CSP, a program developed by the National Mathematics + Science Initiative and funded by a 2019 Education Innovation and Research grant. The three-year program aimed to increase student access to and success in the Advanced Placement (AP) Computer Science Principles (CSP) course in 37 Texas high…