Abstract
We present the framework of an eLearning environment that can adapt to a student's reading behaviour by dynamically selecting and presenting text-based learning material. The student's eye gaze would be used to predict their comprehension level and the text difficulty will be altered to reflect this. This can be used to influence how students interact with the learning environment as well as how they learn the material, streamlining the learning process and optimising learning outcomes. For this framework to be viable two aspects of the design must be feasible; the first is that reading comprehension can be predicted from the reader's eye movements and the second is that changing text difficulty has an effect on learning behaviour. We present preliminary results from a study investigating the latter aspect that supports this claim.
Original language | English |
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Pages (from-to) | 150-153 |
Number of pages | 4 |
Journal | Procedia Computer Science |
Volume | 39 |
Issue number | C |
DOIs | |
Publication status | Published - 2014 |
Event | The 6th international conference on Intelligent Human Computer Interaction, IHCI 2014 - Evry Paris, France Duration: 8 Dec 2014 → 10 Dec 2014 |