Collaborative Agents in Adaptative VLEs: Towards an Interface Agent for Interactivity and Decision-making Improvement

Karize Viecelli, Aluízio Haendchen Filho, Hércules Antonio do Prado, Edilson Ferneda, Jeferson Thalheimer, Anita Fernandes

Abstract

This paper presents an Interface Agent (IAg) in the context of collaborative software agents aiming at improving the interaction, interactivity and decision-making processes in Virtual Learning Environments (VLE). Working collaboratively in a multi-agent system, IAg receives notifications about situations that require interaction with students to assist and motivate them in the processes of navigation and use of VLE. In order to assist decision-making processes, it provides dashboards that enable the human tutor and VLE coordinators to make real-time decisions about non-normal situations. In addition, it monitors the actions of students seeking for clarifying doubts, utilizing a knowledge based on past situations. With this approach it is expected to enable a more attractive environment to students by reducing feelings of demotivation and isolation, and helping to reduce student dropout.

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Paper Citation


in Harvard Style

Viecelli K., Haendchen Filho A., Antonio do Prado H., Ferneda E., Thalheimer J. and Fernandes A. (2020). Collaborative Agents in Adaptative VLEs: Towards an Interface Agent for Interactivity and Decision-making Improvement.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 691-702. DOI: 10.5220/0009415006910702


in Bibtex Style

@conference{iceis20,
author={Karize Viecelli and Aluizio Haendchen Filho and Hércules Antonio do Prado and Edilson Ferneda and Jeferson Thalheimer and Anita Fernandes},
title={Collaborative Agents in Adaptative VLEs: Towards an Interface Agent for Interactivity and Decision-making Improvement},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={691-702},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009415006910702},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Collaborative Agents in Adaptative VLEs: Towards an Interface Agent for Interactivity and Decision-making Improvement
SN - 978-989-758-423-7
AU - Viecelli K.
AU - Haendchen Filho A.
AU - Antonio do Prado H.
AU - Ferneda E.
AU - Thalheimer J.
AU - Fernandes A.
PY - 2020
SP - 691
EP - 702
DO - 10.5220/0009415006910702