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Authors: Aluizio Haendchen Filho 1 ; Jeferson Miguel Thalheimer 2 ; Rudimar L. S. Dazzi 2 ; Vinícius Santos 2 and Paulo Ivo Koehntopp 3

Affiliations: 1 Laboratory of Applied Intelligence, University of the Itajaí Valley (UNIVALI), Rua Uruguay, 458, Itajaí, Brazil, Univertity Center of Brusque (UNIFEBE), Brusque and Brazil ; 2 Laboratory of Applied Intelligence, University of the Itajaí Valley (UNIVALI), Rua Uruguay, 458, Itajaí and Brazil ; 3 Catarinense Association of Educational Foundations (ACAFE), Florianópolis and Brazil

Keyword(s): Intelligent Tutor, Software Agents, Decision-making, Virtual Learning Environment.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computer-Supported Education ; e-Learning ; e-Learning and e-Teaching ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Software Agents and Internet Computing ; Web Information Systems and Technologies

Abstract: Quality of care in the Virtual Learning Environment is often compromised by large numbers of students. This presents a difficult task for human tutors. On the other hand, Intelligent Tutoring Systems are evolving towards a decision support system. One vision of Artificial Intelligence and education is to produce a tutor for every student or a “community of tutors for every student”. Here we present a model of intelligent tracing tutor agent responsible for tracking students in the virtual learning environment. We have designed the Tracing Tutor Agent as one of the agents of a collaborative organization of intelligent tutor agents. Each agent has his role, responsibilities and permissions. The main focus of this work is to present a model of Tracing Tutor Agent (TTA), which is one of the organization’s agents. It has the following responsibilities: (i) monitor students’ actions in VLE; (ii) to monitor the actions of the human tutor in the VLE; and (iii) collaborate and interact with t he other organization’s agents to supply the human tutor with information in order to improve decision making and performance, increasing attendance and avoiding evasion. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Filho, A.; Thalheimer, J.; Dazzi, R.; Santos, V. and Koehntopp, P. (2019). Improving Decision-making in Virtual Learning Environments using a Tracing Tutor Agent. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 600-607. DOI: 10.5220/0007744006000607

@conference{iceis19,
author={Aluizio Haendchen Filho. and Jeferson Miguel Thalheimer. and Rudimar L. S. Dazzi. and Vinícius Santos. and Paulo Ivo Koehntopp.},
title={Improving Decision-making in Virtual Learning Environments using a Tracing Tutor Agent},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={600-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007744006000607},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Improving Decision-making in Virtual Learning Environments using a Tracing Tutor Agent
SN - 978-989-758-372-8
IS - 2184-4984
AU - Filho, A.
AU - Thalheimer, J.
AU - Dazzi, R.
AU - Santos, V.
AU - Koehntopp, P.
PY - 2019
SP - 600
EP - 607
DO - 10.5220/0007744006000607
PB - SciTePress