Eye Gaze Tracking-Based Adaptive E-learning for Enhancing Teaching and Learning in Virtual Classrooms

Abstract

Today, the educational system has completely moved to e-learning and virtual classroom-type learning where biometric analysis can be done to put an estimate on the concentration levels of the student. This can be implemented by using an EyeTribe Tracker Pro which uses a camera to track the user’s eye movement. The tracking is done so delicately that it tracks even the most minuscule movements of the users’ pupils. This data in the form of images is run through a data analysis tool Open Gaze and Mouse Analyzer (OGAMA). The tool reads the “on-screen gaze coordinates” and determines the exact location on the screen where the user is looking. The gaze data is then fed into analysis tools. Various kinds of analysis such as Area of Interest (AOI) and fixation ratio are done. The resulting parameters such as gaze: fixations, fixations duration mean, complete fixation times at AOI, etc., are studied. In this way, the nature of the students’ concentration on the on-screen material can be analyzed and the corresponding changes can be introduced.