Computing educators face significant challenges in providing timely support to students,
especially in large class settings. Large language models (LLMs) have emerged recently …

Generative artificial intelligence (GenAI) tools, such as large language models (LLMs),
generate natural language and other types of content to perform a wide range of tasks. This …

Large language models are reshaping computing education. Based on recent research,
these models explain code better than students, answer multiple choice questions at or …

Identifying and resolving logic errors can be one of the most frustrating challenges for
novices programmers. Unlike syntax errors, for which a compiler or interpreter can issue a …

Programming skills are typically developed through completing various hands-on exercises.
Such programming problems can be contextualized to students' interests and cultural …

In large-scale programming courses, providing learners with immediate and effective
feedback is a significant challenge. This study explores the potential of Large Language …

Large language models (LLMs) have shown great potential for the automatic generation of
feedback in a wide range of computing contexts. However, concerns have been voiced …

Language models have improved by orders of magnitude with the recent emergence of
Transformer-based Large Language Models (LLMs). LLMs have demonstrated their ability …

Computing educators and researchers have used programming process data to understand
how programs are constructed and what sorts of problems students struggle with. Although …

The emergence of large language models (LLMs) has sparked enormous interest due to
their potential application across a range of educational tasks. For example, recent work in …