A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG)

Florian Stahr, Sebastian Kucharski, Iris Braun, Gregor Damnik

2025

Abstract

The Automatic Item Generation (AIG) approach allows users to generate tasks or items based on user-defined knowledge models created with associated editors. The challenge is that these editors typically require a certain level of technical expertise, which limits the users who can benefit from the AIG approach. To overcome this, editors can be used with strict user guidance, following a purist approach to avoid feature overload. However, once users are familiar with AIG, the purist approach may hinder their productivity. This paper examines the relationship between the users who can benefit from AIG, the AIG model editing approach used, and its usability aspects. In addition, it tries to identify further perspectives for the development of AIG model editors that make them accessible to both experienced and novice users. For this purpose, we conceptualized an editor that allows more modeling freedom and compared it with a previously developed editor that enforces strict user guidance. Our evaluation shows that the new editor can use more AIG features, but is harder to get used to, and that an appropriate approach may be to dynamically adapt the guidance and features based on the user’s goal and expertise.

Paper Citation

in Harvard Style

Stahr F., Kucharski S., Braun I. and Damnik G. (2025). A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG). In Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: AIG; ISBN 978-989-758-746-7, SciTePress, pages 765-776. DOI: 10.5220/0013496000003932

in Bibtex Style

@conference{aig25,
author={Florian Stahr and Sebastian Kucharski and Iris Braun and Gregor Damnik},
title={A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG)},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: AIG},
year={2025},
pages={765-776},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013496000003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: AIG
TI - A Comparison of Different Approaches of Model Editors for Automatic Item Generation (AIG)
SN - 978-989-758-746-7
AU - Stahr F.
AU - Kucharski S.
AU - Braun I.
AU - Damnik G.
PY - 2025
SP - 765
EP - 776
DO - 10.5220/0013496000003932
PB - SciTePress