Large language models (LLMs) are becoming increasingly better at a wide range of Natural
Language Processing tasks (NLP), such as text generation and understanding. Recently …

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

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 …

Abstract As Large Language Models (LLM) emerge, opportunities for personalised learning
are opening in education. LLMs are a valuable educational tool but raise ethical concerns …

The emergence of large language models (LLMs) has transformed research and practice in
a wide range of domains. Within the computing education research (CER) domain, LLMs …

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 …

Large language models (LLMs) such as GPT-4 have emerged as promising tools for
providing programming feedback. However, effective deployment of LLMs in massive …

Generative AI and large language models hold great promise in enhancing programming
education by generating individualized feedback and hints for learners. Recent works have …

Intelligent Tutoring Systems (ITSs) often contain an automated feedback component, which
provides a predefined feedback message to students when they detect a predefined error …