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Department of Informatics and Computing Tools, T. H. Shevchenko National University ”Chernihiv Colehiu”, 53, Hetmana Polubotka Str., Chernihiv, Ukraine

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1 Papers

Emotional States Management for an Advanced Intelligent Tutoring System

Topics: Applications and Case-Studies; Ontology Tools; Reference Models

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

Digital Object Identifier: 10.5220/0011590200003335

Proceedings of KEOD 2022/IC3K, ISBN: 978-989-758-614-9

Quick 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.