Mario presented her paper entitled “Multi-modalities Analysis In Profiled Learning” which proposed a special behavioral analysis technique for students. Understanding learning styles and patterns for cognitive behaviors will help in better smart adaptive educational systems. This paper’s introduces an analytic approach that incorporates students’ eye tracking, facial expression, and mouse movement data to predict students’ performance.
The paper is now published, and can be viewed here: