Emotional States Management for an Advanced Intelligent Tutoring System

Domenico Redavid, Stefano Ferilli, Liza Loop, Liudmyla Matviichuk

2022

Abstract

One of the result of the application of Artificial Intelligence (AI) to e-learning environments are Intelligent Tutoring Systems (ITSs). A crucial aspect in the field of e-learning concerns emotional states, which importance is increasingly felt also at the level of educational institutions. On the other side, the Management of moods at Information Technology level is becoming more and more important because enable new scenarios where new innovative applications can be proposed. In this paper is described a possible framework able to manage emotional states that could be adopted as a solution to address the Personal, social and learning to learn competence, one of the eight key competences lifelong learning indicated by EU COUNCIL.

Paper Citation

in Harvard Style

Redavid D., Ferilli S., Loop L. and Matviichuk L. (2022). Emotional States Management for an Advanced Intelligent Tutoring System. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 253-259. DOI: 10.5220/0011590200003335

in Bibtex Style

@conference{keod22,
author={Domenico Redavid and Stefano Ferilli and Liza Loop and Liudmyla Matviichuk},
title={Emotional States Management for an Advanced Intelligent Tutoring System},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={253-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011590200003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Emotional States Management for an Advanced Intelligent Tutoring System
SN - 978-989-758-614-9
AU - Redavid D.
AU - Ferilli S.
AU - Loop L.
AU - Matviichuk L.
PY - 2022
SP - 253
EP - 259
DO - 10.5220/0011590200003335
PB - SciTePress