Angielski
One of the established strengths of human tutors is§their ability to recognise and adapt to the emotions§of students. This is a skill that has traditionally§been lacking from Intelligent Tutoring Systems§(ITSs); despite their ability to intelligently model§and adapt to aspects of the student s cognitive§state, ITSs are generally completely unable to detect§or adapt to aspects of the student s affective state. §§In response to this shortcoming, this book explores§the exciting development of an emotion-sensitive§ITS. With the empathy of effective human tutors as§our blueprint, we investigate how an artificial tutor§should adapt to the affective state of students. To§inform the tutor s adaptation to student affect, a§novel method for student modelling and§emotion-sensitive tutoring strategies has been§developed using a fuzzy, case-based reasoning§approach. As a validation of the feasibility of an§emotion-sensitive tutoring system, we implement and§test our method in an Affective Tutoring System (ATS)§for counting and addition, Easy with Eve, featuring§an empathetic animated pedagogical agent, Eve.
