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The effect of emotional analysis on the improvement of experimental e‐learning systems
Author(s) -
Khalfallah Jihen,
Ben Hadj Slama Jaleleddine
Publication year - 2019
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22075
Subject(s) - usability , computer science , readability , field (mathematics) , multimedia , human–computer interaction , synchronous learning , virtual learning environment , mathematics education , teaching method , psychology , cooperative learning , mathematics , pure mathematics , programming language
E‐learning, also known as online learning or technology enhanced learning, needs to provide more heterogeneous learning including not only Web‐based courses and virtual classrooms but also remote labs with an affective recognition system. These latter allow students to interact with real experiments conducted from a distance with real‐time facial expression recognition using a webcam. However, multiple systems do not include this kind of learning. Thus, students' motivation, interest, and learning might be negatively affected since there can be no emotional interaction without “on demand” learning. This work analyzes the impact of students' emotions to enhance the learning experience in two aspects: (i) filling the existing gaps of students and (ii) improving the usability and readability of the platform. The overall goal of our research is to build a novel intelligent tutoring system, called “LabTutor,” adapted to the profile of every student. It aims to serve as an experienced teacher for students who access and perform experiments on real laboratory equipment in the field of engineering education.