Tutoring Process in Emotionally Intelligent Tutoring Systems

Author:

Petrovica Sintija1

Affiliation:

1. Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia

Abstract

Research has shown that emotions can influence learning in situations when students have to analyze, reason, make conclusions, apply acquired knowledge, answer questions, solve tasks, and provide explanations. A number of research groups inspired by the close relationship between emotions and learning have been working to develop emotionally intelligent tutoring systems. Despite the research carried out so far, a problem how to adapt tutoring not only to a student's knowledge state but also to his/her emotional state has been disregarded. The paper aims to examine to what extent the tutoring process and tutoring strategies are adapted to students' emotional and knowledge states in these systems. It also presents a study on how to influence student's emotions looking from the pedagogical point of view and provides general guidelines for selection of tutoring strategies to influence and regulate student's emotions.

Publisher

IGI Global

Subject

Applied Mathematics,General Mathematics

Reference65 articles.

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2. Ally, M., & Fahy, P. (2002, August). Using students’ learning styles to provide support in distance education. In Proceedings of the 18th Annual Conference on Distance Teaching and Learning, Madison, WI.

3. Anohina, A., & Intenberga, L. (2008). The set of agents for the modelling of learner's emotions in intelligent tutoring systems. In Proceedings of the 12th IASTED International Conference on Artificial Intelligence and Soft Computing (pp. 73-78). Anaheim, CA: ACTA Press.

4. Arroyo, I., Cooper, D. G., Burleson, W., Woolf, B. P., Muldner, K., & Christopherson, R. I. (2009). Emotion sensors go to school. In Proceedings of the 14th International Conference on Artificial Intelligence in Education (pp. 17–24). Amsterdam, Netherlands: IOS Press.

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