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We investigate whether high-performing students’ experience of affect (boredom, confusion, delight, flow, frustration, neutrality and surprise) is different from that of low-performing students while using Aplusix, an ITS for Algebra. We found that students with the highest number of correct answers experienced flow the most while students with the lowest number of correct answers experienced confusion...
This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal. One model however shows that interaction logs may have a potential as a detector for confusion.
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