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Affective Dialogue Ontology for Intelligent Tutoring Systems: Human Assessment Approach

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Book cover Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 (AISI 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 533))

Abstract

Researchers has focused on integrate the dialogue to learning systems, such as Intelligent Tutoring Systems. To date, the researchers have focused on make more intelligent, accuracy and faster this systems. However, they become cold. So, it is important that these systems consider affective aspects when they bring feedback to the students because affective aspects and motivation have been shown to improve learning in face-to-face scenarios. This work introduces a novel ontology which models aspects of student, tutor and dialogue to bring an affective feedback. We conducted a human assessment approach to evaluate the proposed ontology. We design an instrument derived from ontological components (concepts and relations). We collected 24 responses of professors of undergraduate programs. Most of the domain experts, more than the 70 %, were agree with the relations proposed in the affective dialogue ontlogy proposed in this work. The results suggest that the proposal will serve as useful guidelines for the design of Intelligent Tutoring Systems, particularly to dialogue modules.

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Author information

Authors and Affiliations

  1. Universidad Autónoma de Baja California, Mexicali, Mexico

    Samantha Jiménez, Reyes Juárez-Ramírez & Alan Ramírez-Noriega

  2. Universidad de Colima, Colima, Mexico

    Victor Castillo Topete

Authors
  1. Samantha Jiménez
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  2. Reyes Juárez-Ramírez
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  3. Victor Castillo Topete
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  4. Alan Ramírez-Noriega
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Corresponding author

Correspondence to Samantha Jiménez .

Editor information

Editors and Affiliations

  1. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University, Dubai, United Arab Emirates

    Khaled Shaalan

  3. CS Dept. Faculty of Computers and Inform, Suez Canal University CS Dept. Faculty of Computers and Inform, Ismailia, Egypt

    Tarek Gaber

  4. Ahmed Orabi Square , Menouf, Egypt

    Ahmad Taher Azar

  5. Faculty of Computer & Information Scienc, Ain Shams University Faculty of Computer & Information Scienc, Cairo, Egypt

    M. F. Tolba

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Jiménez, S., Juárez-Ramírez, R., Castillo Topete, V., Ramírez-Noriega, A. (2017). Affective Dialogue Ontology for Intelligent Tutoring Systems: Human Assessment Approach. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_58

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  • DOI: https://doi.org/10.1007/978-3-319-48308-5_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48307-8

  • Online ISBN: 978-3-319-48308-5

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