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Intelligent Personal Assistant for Educational Material Recommendation Based on CBR

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Personal Assistants: Emerging Computational Technologies

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 132))

Abstract

Personal assistants are focused on helping users with various tasks in the daily management, as they anticipate their needs and learn with their interaction. An intelligent personal assistant is a software agent that can perform actions requested by a user and can access to information from remote sources, based on requirements or user profile. Moreover, intelligence personal assistants can be considered as a special case of recommendation systems since they are used in web searches. Thus, the personal assistant interacts and represents users to choose relevant items according to their needs and preferences. This work proposes an intelligent personal assistant aimed to support users for selecting educational material from learning objects repositories. In this regard, a recommendation system was implemented based on the artificial intelligence technique known as CBR. The possibility of taking advantage of previous results of students with similar characteristics allows to improve the relevance of the materials for each particular student. The results of the functional tests are satisfactory.

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Acknowledgements

The research presented in this paper was partially funded by the COLCIENCIAS project entitled: “RAIM: Implementación de un framework apoyado en tecnologías móviles y de realidad aumentada para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos” of the Universidad Nacional de Colombia, with code 1119-569-34172. It was also developed with the support of the grant from “Programa Nacional de Formación de Investigadores—COLCIENCIAS”.

Author information

Authors and Affiliations

  1. Universidad Nacional de Colombia Sede Manizales, Manizales, Colombia

    Néstor Darío Duque Méndez

  2. Universidad Nacional de Colombia Sede Medellín, Medellín, Colombia

    Paula Andrea Rodríguez Marín & Demetrio Arturo Ovalle Carranza

Authors
  1. Néstor Darío Duque Méndez
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  2. Paula Andrea Rodríguez Marín
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  3. Demetrio Arturo Ovalle Carranza
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Corresponding author

Correspondence to Paula Andrea Rodríguez Marín .

Editor information

Editors and Affiliations

  1. Departamento de Informática/Centro ALGORITMI, Escola de Engenharia, Universidade do Minho, Braga, Portugal

    Angelo Costa

  2. Department of Computer Systems and Computation, Polytechnic University of Valencia, Valencia, Spain

    Vicente Julian

  3. Departamento de Informática/Centro ALGORITMI, Escola de Engenharia, Universidade do Minho, Braga, Portugal

    Paulo Novais

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Duque Méndez, N.D., Rodríguez Marín, P.A., Ovalle Carranza, D.A. (2018). Intelligent Personal Assistant for Educational Material Recommendation Based on CBR. In: Costa, A., Julian, V., Novais, P. (eds) Personal Assistants: Emerging Computational Technologies. Intelligent Systems Reference Library, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-319-62530-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-62530-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62529-4

  • Online ISBN: 978-3-319-62530-0

  • eBook Packages: EngineeringEngineering (R0)

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