Abstract:
In the context of the modern development of informational technologies, there is a great
impact on education in all aspects such as variety and quality. Moreover, student center
approaches become the main goal of many institutions all over the world and this can lead
us to Adaptive Learning. Adaptive learning is mainly focusing on enhancing the student
whether in the process of learning or even in the assessment. This project aims to take some
di erent modalities from the learner and predict his/her result in the exam. We performed
an experiment research in which 53 students, ranging in age from 18 to 22, solved an English
exam. The study explored the possibility of adding several student modalities such as eye
gazing, facial expressions, and mouse movements. The analysis of the collected dataset
shows that adding student features can e ectively predict his assessment score. We used
di erent regression models to predict the score of the student based on his features.