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Authors: Domenico Redavid 1 ; Stefano Ferilli 2 ; Liza Loop 3 and Liudmyla Matviichuk 4

Affiliations: 1 Economics and Finance Department, University of Bari, Largo Abbazia S. Scolastica, Bari, 70124, Italy ; 2 Computer Science Department, University of Bari, Via E. Orabona 4, Bari, 70125, Italy ; 3 LO*OP Center, Inc., 16511 Watson Rd, Guerneville, 95446, CA, U.S.A. ; 4 Department of Informatics and Computing Tools, T. H. Shevchenko National University ”Chernihiv Colehiu”, 53, Hetmana Polubotka Str., Chernihiv, Ukraine

Keyword(s): Intelligent Tutoring System Framework, Ontologies, Emotional States.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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) - KEOD; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 253-259. DOI: 10.5220/0011590200003335

@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) - KEOD},
year={2022},
pages={253-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011590200003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD
TI - Emotional States Management for an Advanced Intelligent Tutoring System
SN - 978-989-758-614-9
IS - 2184-3228
AU - Redavid, D.
AU - Ferilli, S.
AU - Loop, L.
AU - Matviichuk, L.
PY - 2022
SP - 253
EP - 259
DO - 10.5220/0011590200003335
PB - SciTePress