ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks
Artificial Intelligence
2021-12-30 v1
Abstract
We introduce ADAPQUEST, a software tool written in Java for the development of adaptive questionnaires based on Bayesian networks. Adaptiveness is intended here as the dynamical choice of the question sequence on the basis of an evolving model of the skill level of the test taker. Bayesian networks offer a flexible and highly interpretable framework to describe such testing process, especially when coping with multiple skills. ADAPQUEST embeds dedicated elicitation strategies to simplify the elicitation of the questionnaire parameters. An application of this tool for the diagnosis of mental disorders is also discussed together with some implementation details.
Cite
@article{arxiv.2112.14476,
title = {ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks},
author = {Claudio Bonesana and Francesca Mangili and Alessandro Antonucci},
journal= {arXiv preprint arXiv:2112.14476},
year = {2021}
}
Comments
Presented at the IJCAI 2021 Workshop on Artificial Intelligence for Education