As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…

The present study was conducted to determine how implementing computational thinking (via a proxy in AP Computer Science Principles) into a school's curriculum impacted student proficiency rates on the New York State Geometry Regents. Recent research has suggested that computational thinking is a skill that transcends specific content areas and…

A context-based approach to education aims to improve students' meaningful learning and uses authentic situations in which scientific concepts are applied. The use of contexts may contribute to the learning of abstract concepts such as algorithms. The selection of appropriate contexts, however, is challenging for teachers. It is therefore…

Contribution: This article investigates the impact of gamified learning on high school students (grades 9-12) in computer science, emphasizing learner engagement, knowledge improvement, and overall satisfaction. It contributes insights into the effectiveness of gamification in enhancing educational outcomes. Background: Gamification in education…

In our technology-based society, the field of computer science is integral to the economic, scientific, and security-related arenas of the United States. Despite efforts to diversify the domain of computing, most computing professionals are male. Consequently, girls rarely see female role models working in computing. The disparity between male and…

Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject reserved for a select few in higher education but is essential knowledge that our youth need for the future. Much is unknown about the level of AI knowledge that is age and developmentally appropriate for high school, let alone about how to teach AI…

Computer Science (CS) education is an emergent growth area in schools worldwide. This paper explores how CS education has evolved at the high school level (grades 10-12) in the Canadian province of Alberta over the past decade after a reorganization and curriculum redesign of its Computing Science Education (CSE) program. In partnership with…

As the use of artificial intelligence (AI), especially machine learning (ML), has dramatically increased, K-12 schools have begun to deliver AI education; however, little is known about teachers' views on the field. This qualitative study investigated how U.S. high school computer science (CS) teachers conceptualize AI, the role of AI in their CS…

This study analyzes the impact of the Chicago Alliance for Equity in Computer Science (CAFÉCS) Research Practice Partnership (RPP) on the Chicago Public School (CPS) Office of Computer Science (OCS). Using a qualitative analysis drawing on data from leadership team meetings, published articles and presentations, and evaluation reports from 11…

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…

Much attention in constructionism has focused on designing tools and activities that support learners in designing fully finished and functional applications and artefacts to be shared with others. But helping students learn to debug their applications often takes on a surprisingly more instructionist stance by giving them checklists, teaching…

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 the age of computing, there still exist many schools that do not offer computer science courses. The reason can be esoteric to designers of interventions, curricula, and policies. This study aims to answer the research question: "What do school officials perceive as barriers to and supports for offering computer science courses at their…

Contributing to a growing body of research on broadening participation in computing for historically underrepresented racial communities (e.g., Black and Latinx), this qualitative study describes the knowledge (content and sources) six antiracist Computer Science (CS) teachers have about examples (and counterexamples) of modern techno-racism, a…

The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…