In this article, we address the question of why computing students choose to learn computing topics on their own. A better understanding of why some students choose to learn on their own may help us to motivate other students to develop this important skill. In addition, it may help in curriculum design; if we need to leave some topics out of our…

Scholarly communities in computing determine how to produce and validate knowledge within their domains of focus. Much of this knowledge can remain tacit because of shared ways of becoming a disciplinary scholar within any particular area of computing. But such tacitness presents challenges for computing education scholarship, since knowledge…

This phenomenographic study opens the classroom door to investigate teachers' experiences of students learning difficult computing topics. Three distinct themes are identified and analysed. "Why" do students succeed or fail to learn these concepts? "What" actions do teachers perceive will ameliorate the difficulties facing…

Revising and extending conference articles for journal publication benefits both authors and readers. The new articles are more complete, and benefit from peer review, feedback from conference presentation, and greater editorial consistency. For those articles that are appropriate, we encourage authors to do this, and present two examples of such…

This special issue features a set of papers recently published in the 3rd International Workshop on Computing Education Research (ICER'07). The papers were selected because they closely meet the publication criteria for ACM/JERIC: stemming from computing education practice, grounded in relevant literature, containing analysis of primary empirical…

"Threshold concepts" are concepts that, among other things, transform the way a student looks at a discipline. Although the term "threshold" might suggest that the transformation occurs at a specific point in time, an "aha" moment, it seems more common (at least in computing) that a longer time period is required.…

Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…

This issue is devoted to the curriculum guidelines from the Liberal Arts Computer Science Consortium. These guidelines provide a coherent and important model for computing education within a liberal arts context, giving primacy to critical reason, rigorous methods, and student engagement in the research process. In this regard, they are at the…

We report on responses to a series of four questions designed to identify pre-existing abilities related to debugging and troubleshooting experiences of novice students before they begin programming instruction. The focus of these questions include general troubleshooting, bug location, exploring unfamiliar environments, and describing students'…

In this paper, we investigate the question of what assessment tools are being used in practice by United States computing programs and what the faculty doing the assessment think of the tools they use. After presenting some background with regard to the design, implementation, and use of assessment, with particular attention to assessment tools,…