Modeling Student’s Mood during an Online Self-assessment Test
Student’s emotional state is crucial during learning. When a student is in a very negative mood, learning is unlikely to occur. On the other hand too positive mood can also impair learning. Thus a key issue for instructional technology is to recognize student’s mood, so as to be able to provide appropriate feedback. This paper introduces a model of student’s mood during an online self-assessment test. The model was evaluated using data emanated from experiments with 153 high school students from 3 different regions of Greece. The results confirm the model’s ability to estimate a student’s mood.
Keywordscomputerized testing computer based assessment affective computing affective learning modeling mood mood recognition
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