This study aims to identify effective teaching strategies and challenges in computer science (CS) teaching and K-12 CS teachers' needs for professional development (PD). The data were collected through semi-structured interviews with five K-12 CS teachers and eight CS instructors in higher education and analyzed using thematic analysis. The…

The computing education research community now has at least 40 years of published research on teaching ethics in higher education. To examine the state of our field, we present a systematic literature review of papers in the "Association for Computing Machinery" computing education venues that describe teaching ethics in higher-education…

Contribution: This study aimed to improve understanding of context-based affordances and barriers to adoption of evidence-based instructional practices (EBIPs) among faculty in electrical and computer engineering (ECE). Context-based influences, including motives, constraints, and feedback mechanisms impacting EBIP adoption across six ECE faculty…

Background and Context: Based on issues arising around how to best prepare CS teachers and the constantly changing nature of the CS education content, curriculum, and instructional methods, it is crucial to examine the needs of secondary CS teachers. Objective: The primary purpose of this study was to identify secondary computer science (CS)…

The rapid evolution of technology and its integration across virtually every field has made computer science (CS) education a crucial component of modern curricula. Despite the increasing demand for CS skills and being the top source of new wage creation in the U.S., CS education remains undervalued and underrepresented in high school systems.…

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…

Students want to learn computer science due to its usefulness for future careers, however they often meet challenges in introductory courses. In the increasingly digital world, it is important to understand some important psychological consequences of such challenges: perceived costs of pursuing computer science. This study thus investigated…

The idea of Artificial intelligence (AI) has a long history in both research and fiction and has been applied in educational settings since the 1970s. However, the topic of AI underwent a huge increase of interest with the release of ChatGPT in late 2022, and more people were talking about generative AI (GenAI or GAI). According to some estimates,…

Objectives: We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in computing, and how these vary across institutional contexts. Participants: A sample of 77…

Over the past 20 years, there has been a concentrated effort on expanding K-12 pathways, experiences, and access in computer science education (CSEd). Computer science (CS) is a multifaceted discipline within education, and the current emphasis in education policy has focused on how to expand access for K-12 students in CSEd that will lead to…

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

Given a myriad of recent contemporary challenges graduate students are facing as well as long-standing issues with student attrition, there is a pressing need to reexamine models of doctoral student progress. While existing research commonly examines departure or failure to meet milestones as the outcome of interest, by the time students leave…

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…

Motivating girls to enroll in computer science (CS) courses is critically important. Stereotypes that girls are less interested than boys in CS may deter girls. Three preregistered experimental studies (N = 1,053) examined causal links between gender-interest stereotypes and middle school students' CS motivation. Experiment 1 showed that…

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…