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Affective Issues in Adaptive Educational Environments

Affective Issues in Adaptive Educational Environments

Makis Leontidis, Constantin Halatsis
ISBN13: 9781605663920|ISBN10: 1605663921|ISBN13 Softcover: 9781616925802|EISBN13: 9781605663937
DOI: 10.4018/978-1-60566-392-0.ch007
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MLA

Leontidis, Makis, and Constantin Halatsis. "Affective Issues in Adaptive Educational Environments." Cognitive and Emotional Processes in Web-Based Education: Integrating Human Factors and Personalization, edited by Constantinos Mourlas, et al., IGI Global, 2009, pp. 111-133. https://doi.org/10.4018/978-1-60566-392-0.ch007

APA

Leontidis, M. & Halatsis, C. (2009). Affective Issues in Adaptive Educational Environments. In C. Mourlas, N. Tsianos, & P. Germanakos (Eds.), Cognitive and Emotional Processes in Web-Based Education: Integrating Human Factors and Personalization (pp. 111-133). IGI Global. https://doi.org/10.4018/978-1-60566-392-0.ch007

Chicago

Leontidis, Makis, and Constantin Halatsis. "Affective Issues in Adaptive Educational Environments." In Cognitive and Emotional Processes in Web-Based Education: Integrating Human Factors and Personalization, edited by Constantinos Mourlas, Nikos Tsianos, and Panagiotis Germanakos, 111-133. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-392-0.ch007

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Abstract

Research in computer science recently began to take emotions into account because their influence in perception, reasoning, decision-making and learning is considered catalytic. In learning the appropriate sentimental background constitutes a significant requirement in order to be effective. However, many designers of adaptive learning systems develop their systems without taking into consideration the emotional factors that are related to the mood and the personality of the student. This omission deprives the learning process from a very important pedagogical dimension. In this chapter, the focus is on affective factors that are involved in the learning process and can be considered in designing adaptive learning environments. We present first the basic theories and models for affective computer. We deal with methods of affective elicitation and representation of affective knowledge. We then present affective educational applications. Finally, we discuss issues and future trends of affective computing in relation to the learning.

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