AI-Based Eye Tracking Applications in Collaborative E-Learning Environments

Abstract

In collaborative e-learning environments, we need to understand individual differences of each learner like behavior, motivation, learning style, interest level, cultural background, performance, relaxation, and more. Learners' eyes can be a major source of data, and eye-tracking methods can be used in collaborative e-learning environments to measure these differences in real-time and provide insightful feedback. AI-based eye tracking can help to increase motivation by predicting learners' areas of interest to create effective interaction between learners and collaborative e-learning environments. The main goal of this chapter is to study the feasibility and the potentials of predictive eye tracking systems in collaborative e-learning environment. Results can help to design an adaptive collaborative e-learning environment able to analyze and understand learners' individual differences and then generate new customized learning situations.