2015 | OriginalPaper | Buchkapitel
Using Eye Gaze Data to Explore Student Interactions with Tutorial Dialogues in a Substep-Based Tutor
verfasst von : Amali Weerasinghe, Myse Elmadani, Antonija Mitrovic
Erschienen in: Artificial Intelligence in Education
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We used eye gaze data to investigate student interactions with tutorial dialogues in EER-Tutor. The results show that tutorial dialogues are effective as they enable students to correct their mistakes. However, some students do not take advantage of opportunities to reflect on what they have learnt. We identify several possible improvements to EER-Tutor, as well as future directions of work on using eye-tracking for on-line adaptation.