Agente adaptativo para la enseñanza en ambientes inteligentes

Dulce M. Rivero-Albarrán; Nancy G. Ulloa-Erazo; Laura R. Guerra T.; Bryan Arellano; Stalin M. Arciniegas A.

Agente adaptativo para la enseñanza en ambientes inteligentes

Translated title of the contribution: Adaptive agent for teaching in intelligent environments

Dulce M. Rivero-Albarrán, Nancy G. Ulloa-Erazo, Laura R. Guerra T., Bryan Arellano, Stalin M. Arciniegas A.

PUCE Ibarra

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Traditional education is being transformed, part of this change is due to the incorporation of information technologies in the educational process. This paper presents a course management agent, which is part of a multi-agent system for intelligent classrooms. The agent adapts the contents of each course to the profile of each student, using their progress and their learning style. In addition, the agent, for each topic, recommends the learning objects most appropriate to each student. The agent is designed for face-to-face environments, where each course has a specific time and schedule. As a result, a list of learning objects recommended to each student was obtained according to the topic that the agent indicates based on the follow-up and the student’s profile.

Translated title of the contribution	Adaptive agent for teaching in intelligent environments
Original language	Spanish
Pages (from-to)	694-707
Number of pages	14
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume	2019
Issue number	19
State	Published - Apr 2019

Bibliographical note

Publisher Copyright:
© 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Cite this

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title = "Agente adaptativo para la ense{\~n}anza en ambientes inteligentes",

abstract = "Traditional education is being transformed, part of this change is due to the incorporation of information technologies in the educational process. This paper presents a course management agent, which is part of a multi-agent system for intelligent classrooms. The agent adapts the contents of each course to the profile of each student, using their progress and their learning style. In addition, the agent, for each topic, recommends the learning objects most appropriate to each student. The agent is designed for face-to-face environments, where each course has a specific time and schedule. As a result, a list of learning objects recommended to each student was obtained according to the topic that the agent indicates based on the follow-up and the student{\textquoteright}s profile.",

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AU - Rivero-Albarrán, Dulce M.

AU - Ulloa-Erazo, Nancy G.

AU - Guerra T., Laura R.

AU - Arellano, Bryan

AU - Arciniegas A., Stalin M.

PY - 2019/4

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N2 - Traditional education is being transformed, part of this change is due to the incorporation of information technologies in the educational process. This paper presents a course management agent, which is part of a multi-agent system for intelligent classrooms. The agent adapts the contents of each course to the profile of each student, using their progress and their learning style. In addition, the agent, for each topic, recommends the learning objects most appropriate to each student. The agent is designed for face-to-face environments, where each course has a specific time and schedule. As a result, a list of learning objects recommended to each student was obtained according to the topic that the agent indicates based on the follow-up and the student’s profile.

AB - Traditional education is being transformed, part of this change is due to the incorporation of information technologies in the educational process. This paper presents a course management agent, which is part of a multi-agent system for intelligent classrooms. The agent adapts the contents of each course to the profile of each student, using their progress and their learning style. In addition, the agent, for each topic, recommends the learning objects most appropriate to each student. The agent is designed for face-to-face environments, where each course has a specific time and schedule. As a result, a list of learning objects recommended to each student was obtained according to the topic that the agent indicates based on the follow-up and the student’s profile.

KW - Adaptive systems

KW - E-learning

KW - Intelligent agents

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KW - Recommender systems

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Agente adaptativo para la enseñanza en ambientes inteligentes

Abstract

Bibliographical note

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