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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.
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