Motivation Diagnosis in Intelligent Tutoring Systems
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Detecting the Learner's Motivational States in An Interactive Learning Environment
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Motivating the learner: an empirical evaluation
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Cross-system validation of engagement prediction from log files
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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The scope of our research is to build a non pedagogical intelligent assistant, I-CAN (Intelligent Coach and Assistant to New way of learning) that supports students during their academic schooling and prevents them from dropout. The management of learner's motivation is one of the main features for schooling success. A high level of motivation implies more engagement and positive emotion to overcome difficulties. The problematic of this paper is "How to enhance the student's motivation during his academic schooling?" We propose a motivation management framework for a personal intelligent assistant on a LMS (Learning Management System). This framework takes in input data from learner's academic schooling (absenteeism, tardiness, marks, tasks, sanction) to diagnose learner's state and to enhance the motivation to learn through an embodied conversational agent.