Predicting student's appraisal of feedback in an ITS using previous affective states and continuous affect labels from EEG data
Students have different ways of learning and have varied reactions to feedback. Thus, allowing a system to predict how students would appraise certain feedback gives it the capability to adapt to what would help a student learn better. This research focuses on the prediction of a student's appr...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2010
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2373 |
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| Institution: | De La Salle University |