most citedExploring the Potential of Large Language Models to Generate Formative Programming Feedback

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023

What Skills Do You Need When Developing Software Using ChatGPT? (Discussion Paper)

Johan Jeuring, Roel Groot, Hieke Keuning

Since the release of LLM-based tools such as GitHub Copilot and ChatGPT the media and popular scientific literature, but also journals such as the Communications of the ACM, have b…

cs.AI20234 cited

Exploring the Potential of Large Language Models to Generate Formative Programming Feedback

Natalie Kiesler, Dominic Lohr, Hieke Keuning

Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to re…

cs.SE2023

A Systematic Mapping Study of Code Quality in Education -- with Complete Bibliography

Hieke Keuning, Johan Jeuring, Bastiaan Heeren

While functionality and correctness of code has traditionally been the main focus of computing educators, quality aspects of code are getting increasingly more attention. High-qual…

cs.SE2023

Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses

Anastasiia Birillo, Elizaveta Artser, Yaroslav Golubev +4

In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the datase…

cs.SE2023

Analyzing the Quality of Submissions in Online Programming Courses

Maria Tigina, Anastasiia Birillo, Yaroslav Golubev +3

Programming education should aim to provide students with a broad range of skills that they will later use while developing software. An important aspect in this is their ability t…