Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks

Paul Christ, Torsten Munkelt, Jörg M. Haake

2024

Abstract

Graphical conceptual modeling is an important competency in various disciplines. Its mastery requires self-practice with tasks that address different cognitive processing dimensions. A large number of such tasks is needed to accommodate a large number of students with varying needs, and cannot be produced manually. Current automatic production methods such as Automatic Item Generation (AIG) either lack scalability or fail to address higher cognitive processing dimensions. To solve these problems, a generalized AIG process is proposed. Step 1 requires the creation of an item specification, which consists of a task instruction, a learner input, an expected learner output and a response format. Step 2 requires the definition of a generator for the controlled generation of items via a configurable generator composition. A case study shows that the approach can be used to generate graphical conceptual modeling tasks addressing the cognitive process dimensions Analyze and Create.

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Paper Citation


in Harvard Style

Christ P., Munkelt T. and M. Haake J. (2024). Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: AIG; ISBN 978-989-758-697-2, SciTePress, pages 807-818. DOI: 10.5220/0012753200003693


in Bibtex Style

@conference{aig24,
author={Paul Christ and Torsten Munkelt and Jörg M. Haake},
title={Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: AIG},
year={2024},
pages={807-818},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012753200003693},
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 - Generalized Automatic Item Generation for Graphical Conceptual Modeling Tasks
SN - 978-989-758-697-2
AU - Christ P.
AU - Munkelt T.
AU - M. Haake J.
PY - 2024
SP - 807
EP - 818
DO - 10.5220/0012753200003693
PB - SciTePress