LEARNERS ENGAGEMENT IMPROVING AND FATIGUE PREVENTION MODEL BASED ON THE ANALYSIS OF THEIR EYE MOVEMENT TRACES
LEARNERS ENGAGEMENT IMPROVING AND FATIGUE PREVENTION MODEL BASED ON THE ANALYSIS OF THEIR EYE MOVEMENT TRACES

Summary/Abstract: In modern world the technologies permeate our daily lives. They have entered a wide range of our work and leisure areas. Technologies are continuing their expansion with rapid strides. It is quite clear that someone has to know these technologies and be able to use them. The knowledge society needs smart, intelligent, well-educated and trained professionals. Despite the progress made in improving an efficiency of the learning process, including an introduction of new digital teaching methodologies, pedagogical principles and models, the searching attempts for the new tools and approaches, in order to identify students' learning experiences, continues to attract the attention of education professionals. Eye tracking might be considered as the one of such approaches that could help assess the e-learning system users’ experience. Learners’ gaze data can give to researchers an important valuable information, ensure an understanding about information system users’ learning preferences, e.g. the type and form of digital learning object, distraction parameters, and so on. These data may warn us also about learners’ fatigue signs, hence, giving impetus to take appropriate measures to prevent such negative effect during knowledge acquisition process. This paper is dedicated to identify and propose the new technological training model based on the learners’ gaze data in the digital learning environment, i.e. in learning management systems, expressed points and areas of interest there, time spent in them, as well as eye movements sequence. The article provides insights and offers suggestions for increasing users engagement in learning process and reducing or even preventing the effects of possible fatigue.

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