Abstract
To examine learning behaviour in an adaptive e-learning system, an experiment is designed employing eye-tracking to investigate learners' eye movements and their states. Gaze behaviour not only reveals the type of learning style, but also indicates the range of mental processes and feelings that can support learning. This paper outlines the experimentation strategy used in our smart lab. The experiment is conducted on postgraduate students on tracking eye gaze behaviour and fixation. Several test techniques are applied to eye-tracking data, such as boxplots and ANOVA. Studies and analyses of learning styles concerning the various courses and the complexity level are presented, along with the impact on eye behaviour, which led to the discovery of a key conclusion that the learning behaviour of the visual and verbal style learners is unaffected by the courses' complexity level.
Original language | English |
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Title of host publication | 2023 IEEE Smart Word Congress (SWC) |
Publisher | IEEE |
Pages | 1-7 |
Number of pages | 7 |
ISBN (Electronic) | 979-8-3503-1980-4 |
ISBN (Print) | 979-8-3503-1981-1 |
DOIs | |
Publication status | Published online - 1 Mar 2024 |
Publication series
Name | 2023 IEEE Smart World Congress (SWC) |
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Publisher | IEEE Control Society |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- e-learning
- eye-tracking
- learning style
- eye gaze