AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education

Franz Knipp, Franz Knipp, Werner Winiwarter

2025

Abstract

Large Language Models (LLMs) are finding their way into computer science education. In particular, their natural language capabilities allow them to be used for formative assessment of student work, with the goal of reducing teacher time. However, initial research shows that there are still weaknesses in their use. To overcome this, this paper presents a design for an assessment tool that combines an LLM with a human-in-the-loop approach to ensure high-quality feedback. The proposed system focuses on the assessment of student submissions in the field of web technologies, which can be evaluated in different ways, including the content of the submitted files and the graphical output. Therefore, the use of a multimodal LLM is being considered. The innovative approach of a continuous learning system could significantly improve the efficiency of the assessment process, benefiting both teachers and students.

Paper Citation

in Harvard Style

Knipp F. and Winiwarter W. (2025). AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 379-386. DOI: 10.5220/0013430500003932

in Bibtex Style

@conference{csedu25,
author={Franz Knipp and Werner Winiwarter},
title={AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={379-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013430500003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - AI-AFACT: Designing AI-Assisted Formative Assessment of Coding Tasks in Web Development Education
SN - 978-989-758-746-7
AU - Knipp F.
AU - Winiwarter W.
PY - 2025
SP - 379
EP - 386
DO - 10.5220/0013430500003932
PB - SciTePress