Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations

Inga Saatz

2024

Abstract

In computer science education, variations in the application contexts in modelling and programming tasks enhance the development of problem-solving skills. This results in a demand for a vast training and testing corpus of open questions with varying domain models usable in online and offline assessments. This paper proposes a two-step workflow for the automatic generation of items with varied domain models. First, experiences are provided about using the generated test corpora in formative assessments in computer science courses in higher education, especially for problem-based questions.

Paper Citation

in Harvard Style

Saatz I. (2024). Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: AIG; ISBN 978-989-758-697-2, SciTePress, pages 830-835. DOI: 10.5220/0012753100003693

in Bibtex Style

@conference{aig24,
author={Inga Saatz},
title={Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: AIG},
year={2024},
pages={830-835},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012753100003693},
isbn={978-989-758-697-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: AIG
TI - Automatic Generation of Problem-Solving Assessment Items Through Domain Model Variations
SN - 978-989-758-697-2
AU - Saatz I.
PY - 2024
SP - 830
EP - 835
DO - 10.5220/0012753100003693
PB - SciTePress