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Affective Feedback in Intelligent Tutoring Systems

A Practical Approach

  • Samantha Jiménez
  • Reyes Juárez-Ramírez
  • Victor H. Castillo
  • Juan José Tapia Armenta
Book
  • 2.4k Downloads

Part of the Human–Computer Interaction Series book series (HCIS)

Also part of the SpringerBriefs in Human-Computer Interaction book sub series (BRIEFSHUMAN)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 1-3
  3. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 5-25
  4. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 27-46
  5. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 47-57
  6. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 59-75
  7. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 77-82
  8. Samantha Jiménez, Reyes Juárez-Ramírez, Víctor H. Castillo, Juan José Tapia Armenta
    Pages 83-84

About this book

Introduction

Affective components are as important as cognitive components in tutoring assisted learning process. Feedback from tutors is essential in keeping students motivated. Affectivity and motivation are also significant in computer-based tutoring systems. However, several educational frameworks do not include this kind of interaction between students and tutoring systems. In those cases, the students learning interest and motivation to learn could be negatively affected, and student profits from the system could be impoverished. This is why tutoring systems need to provide direct and affective interaction with students; it can encourage them and increase the motivation to learn.

This book introduces a broad range of topics in affective learning in computer-based systems. The text offers a deep conceptual background, covering relevant concepts of affectivity, feedback and motivational components in learning environments. It describes the design of a proposed model for providing affective feedback, the mathematical validation of the conceptual model and its implementation. Moreover, it presents an analysis of the impact of the affective feedback on student motivation to learn. Finally, the book offers research perspectives of the impact and applicability of the affective feedback in computer-based tutoring environments.

Affective Feedback in Intelligent Tutoring Systems can be used by human tutors who want to include motivational and affective elements in the learning process, researchers in Human-Computer Interaction and Education and by software developers who want to develop learning systems using these elements.

Keywords

Intelligent tutoring systems affective feedback educational motivation motivational components integrating affective feedback

Authors and affiliations

  • Samantha Jiménez
    • 1
  • Reyes Juárez-Ramírez
    • 2
  • Victor H. Castillo
    • 3
  • Juan José Tapia Armenta
    • 4
  1. 1.Universidad Autónoma de Baja CaliforniaTijuanaMexico
  2. 2.Universidad Autónoma de Baja CaliforniaTijunaMexico
  3. 3.Universidad de ColimaColimaMexico
  4. 4.CITEDIInstituto Politécnico NacionalTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93197-5
  • Copyright Information The Author(s), under exclusive license to Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-93196-8
  • Online ISBN 978-3-319-93197-5
  • Series Print ISSN 1571-5035
  • Series Online ISSN 2524-4477
  • Buy this book on publisher's site
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