Overview
- Provides a conceptual background of tutoring systems, affectivity and feedback, summarized from a systematic literature review.
- The affective feedback approach is founded in formal concepts and supported by participant observation.
- Offers a practical implementation of an interactive affective chat module, which is included in an intelligent tutoring system, allowing the proposal validation in a practical way.
Part of the book series: Human–Computer Interaction Series (HCIS)
Part of the book sub series: SpringerBriefs in Human-Computer Interaction (BRIEFSHUMAN)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Affective Feedback in Intelligent Tutoring Systems
Book Subtitle: A Practical Approach
Authors: Samantha Jiménez, Reyes Juárez-Ramírez, Victor H. Castillo, Juan José Tapia Armenta
Series Title: Human–Computer Interaction Series
DOI: https://doi.org/10.1007/978-3-319-93197-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-93196-8Published: 20 July 2018
eBook ISBN: 978-3-319-93197-5Published: 09 July 2018
Series ISSN: 1571-5035
Series E-ISSN: 2524-4477
Edition Number: 1
Number of Pages: VIII, 84
Number of Illustrations: 27 b/w illustrations
Topics: User Interfaces and Human Computer Interaction, Computers and Education, Educational Technology, Programming Techniques