Socializing the intelligent tutor: bringing empathy to computer tutors
Learning Issues for Intelligent Tutoring Systems
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective computing
Motivation System and Human Model for Intelligent Tutoring
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Automatic Spoken Affect Classification and Analysis
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
The Design of a 'Motivating' Intelligent Assessment System
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A Model to Manage Learner's Motivation: A Use-Case for an Academic Schooling Intelligent Assistant
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Self-assessment of motivation: explicit and implicit indicators in L2 vocabulary learning
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Self-Assessment in the REAP Tutor: Knowledge, Interest, Motivation, & Learning
International Journal of Artificial Intelligence in Education
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Despite being of crucial importance in Education, the issue of motivation has been only very recently explicitly addressed in Intelligent Tutoring Systems (ITS). In the few studies done, the main focus has been on motivational planning (i.e. how to plan the instruction in order to motivate the student). In this paper we argue that motivation diagnosis (i.e. how to detect the student's motivational state) is of crucial importance for creating 'motivating' ITSs, and that more research is needed in this area. After an introduction, we review some relevant research on motivation diagnosis, and then we suggest directions which further research in this area might take. Although the issues discussed here are still poorly understood, this paper attempts to encourage research in the ITS community in what we believe is one of the most important aspects of instruction.