The increasing demand for computer science (CS) skills underscores the importance of integrating CS education into K-12 curricula to best prepare students for a digitally-driven society. Despite significant progress in expanding access to CS courses, disparities in participation persist, especially among historically underrepresented groups. This…

Gamification has emerged as a promising strategy to enhance student engagement and learning outcomes in computer science education. This study uses Wenger's Value Creation Framework to evaluate and design the gamification elements in the "Answers" platform, a Professional Learning Network (PLN) developed at TU Delft. Using a…

This study explores the perceptions, experiences and challenges of schools located in disadvantaged areas regarding the integration of digital technologies in their functioning. Through eight case studies, in which principals, teachers and students were involved, we identified the main challenges that these schools face every day, which were…

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…

Entrenched in whiteness and toxic masculinity, the computing field makes it difficult for Latina students to see themselves in computing careers. This phenomenological study explored computing identity development for Latina students at a Hispanic-serving community college (HSCC). Latina students emphasized the importance of leveraging competence…

As Virtual Reality (VR) gains traction in education, its potential to support neurodivergent learners in cybersecurity training remains underexplored. This emerging technology report examines how VR can bridge the gap between STEM education and cybersecurity training for neurodivergent individuals, highlighting both its promise and the challenges…

The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…

Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…

Working solutions to problems are not definitive end points. As a result, code that is technically correct can still be treated as needing revising -- a practice in computer programming known as refactoring. We document how late elementary to middle school students and their undergraduate instructors weigh the possibility of refactoring working…

The purpose of this cross-case analysis is to understand how mathematics and English Language Arts (ELA) educators integrated social justice (SJ)-oriented computer science (CS) instruction into middle school classrooms. An integrated curriculum synthesises content and methods from two or more fields to teach curricular concepts and solve complex…

Capstone courses, where students work on a large group project at the end of their degree, are common in computing. Many accreditation and industry bodies explicitly require or recommend them. Over the past two decades, capstone courses specifically focused on game development have become increasingly popular. Game development offers students the…

This study examined the impact on secondary mathematics teacher candidates (TCs) TPACK knowledge and knowledge subcomponents of a two-course sequence based on the high school Advanced Placement (AP) Computer Science Principles (CSP) course leading to add-on teaching credentials for Computer Science (CS). We further examined the outcomes of Praxis…

This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…

The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…

This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…