Improving Decision-making in Virtual Learning Environments using a Tracing Tutor Agent

Aluizio Filho, Jeferson Thalheimer, Rudimar Dazzi, Vinícius Santos, Paulo Koehntopp

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 the other organization’s agents to supply the human tutor with information in order to improve decision making and performance, increasing attendance and avoiding evasion.

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Paper Citation


in Harvard Style

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, pages 600-607. DOI: 10.5220/0007744006000607


in Bibtex Style

@conference{iceis19,
author={Aluizio Filho and Jeferson Thalheimer and Rudimar Dazzi and Vinícius Santos and Paulo 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},
}


in EndNote Style

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
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