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Author Jiménez, Samantha, author

Title Affective feedback in intelligent tutoring systems : a practical approach / Samantha Jiménez, Reyes Juárez-Ramírez, Victor H. Castillo, Juan José Tapia Armenta
Published Cham, Switzerland : Springer, [2018]
©2018

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Description 1 online resource
Series Springer briefs in human-computer interaction
Human-computer interaction series.
Contents Intro; Integration of Affective Feedback in Intelligent Tutoring Systems; Impacting Student Motivation to Learn; Contents; 1 Introduction; References; 2 Feedback and Affectivity in Intelligent Tutoring Systems; 2.1 Intelligent Tutoring Systems; 2.1.1 Intelligent Tutoring System Architecture; 2.2 Affective Feedback in Learning Environment; 2.2.1 Feedback in Learning; 2.2.2 Affective Interaction Between Tutor and Student; 2.3 Affective Feedback in Intelligent Tutoring Systems; 2.4 Motivation Assessment; 2.5 Summary; References; 3 A Model for Providing Affective Feedback
3.1 Ontology Conceptual Design3.1.1 Glossary of Concepts; 3.1.2 Taxonomy; 3.1.3 Relations; 3.1.4 Dictionary of Concepts; 3.1.5 Ontology's Quantitative Evaluation; 3.1.6 Ontology's Qualitative Evaluation; 3.2 Affective Feedback Model; 3.2.1 Exploratory Study of the Characteristics of Feedback; 3.3 Context-Free Grammar; 3.4 Setting Affective Dataset of Phrases; 3.5 Summary; References; 4 Implementation of the Affective Feedback Model; 4.1 TIPOO; 4.1.1 TIPOO Views; 4.1.2 TIPOO Models; 4.1.3 TIPOO Controllers; 4.2 Affective Feedback System; 4.2.1 Architecture
4.3 Integration of the Affective Feedback System in a Intelligent Tutoring System4.4 Summary; References; 5 The Impact of the Affective Feedback on Student Motivation to Learn; 5.1 Instrument; 5.2 Analysis of the Relationship Between Motivation to Learn and Some Aspects of Student Profile; 5.2.1 Experimental Design; 5.2.2 General Results; 5.2.3 Gender Analysis; 5.2.4 Academic Performance Analysis; 5.3 Relationship Between Motivation to Learn and Personality; 5.3.1 Experimental Design; 5.3.2 General Results; 5.3.3 Personality Analysis
5.4 Motivation in Prior and Post Interaction with the System5.4.1 Experimental Design; 5.4.2 Results; 5.5 Affective Feedback Versus Non-affective Feedback; 5.5.1 Experimental Design; 5.5.2 Results; 5.6 Summary of the Findings; References; 6 Impact and Applicability of the Affective Feedback; 6.1 Theoretical Implications; 6.2 Practical Implications; 6.3 Limitations; References; 7 Conclusions
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (EBSCO, viewed July 16, 2018)
Subject Intelligent tutoring systems.
Affective education.
Human-computer interaction.
EDUCATION -- Administration -- General.
EDUCATION -- Organizations & Institutions.
Educational equipment & technology, computer-aided learning (Calif.)
Computer programming -- software development.
User interface design & usability.
Affective education.
Human-computer interaction.
Intelligent tutoring systems.
Form Electronic book
Author Juárez-Ramírez, Reyes, author
Castillo, Victor H., author
Armenta, Juan José Tapia, author
ISBN 9783319931975
3319931970
9783319931968
3319931962