Practical programming competencies are critical to the success in computer science (CS)
education and go-to-market of fresh graduates. Acquiring the required level of skills is a long …

The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …

Timely, personalized feedback is essential for students learning programming. LLM-
powered tools like ChatGPT offer instant support, but reveal direct answers with code, which …

Background and Context: Over the past year, large language models (LLMs) have taken the
world by storm. In computing education, like in other walks of life, many opportunities and …

Large language models (LLMs), such as Codex, hold great promise in enhancing
programming education by automatically generating feedback for students. We investigate …

As computing becomes a mainstream discipline embedded in the school curriculum and
acts as an enabler for an increasing range of academic disciplines in higher education, the …

Generative AI models, specifically large language models (LLMs), have made strides
towards the long-standing goal of text-to-code generation. This progress has invited …

A great part of software development involves conceptualizing or communicating the
underlying procedures and logic that needs to be expressed in programs. One major …

Automatic program transformation tools can be valuable for programmers to help them with
refactoring tasks, and for Computer Science students in the form of tutoring systems that …

Generative AI and large language models hold great promise in enhancing programming
education by automatically generating individualized feedback for students. We investigate …