Contribution: This paper adds to the results of previous systematic literature reviews by
addressing a more contemporary context of introductory programming. It proposes a …

Over the last 20-30 years, the extended Kalman filter (EKF) has become the algorithm of
choice in numerous nonlinear estimation and machine learning applications. These include …

Effective debugging is crucial to producing reliable software. Manual debugging is
becoming prohibitively expensive, especially due to the growing size and complexity of …

The emergence of large-language models (LLMs) that excel at code generation and
commercial products such as GitHub's Copilot has sparked interest in human-AI pair …

The need for sustainability-oriented K–12 engineering education that expands beyond the
classroom and the increased accessibility of educational technologies create an opportunity …

Reintroducing computer science (CS) education in K–12 schools to promote computational
thinking (CT) has attracted significant attention among scholars and educators. Among the …

Abstract Large Language Models (LLMs) now excel at generative skills and can create
content at impeccable speeds. However, they are imperfect and still make various mistakes …

In this study, we investigated the debugging process that early childhood preservice
teachers used during block-based programing. Its purpose was to provide insights into how …

Debugging is an important component of software development, yet most novice
programmers are not explicitly taught to apply systematic strategies or processes for …

Debugging is a core skill required by programmers, yet we know little about how to
effectively teach the process of debugging. The challenges of learning debugging are …