Predicting the Emotional Reaction of the Learner with a Machine Learning Technique
نویسندگان
چکیده
Emotions play an important role in cognitive processes and specially in learning tasks. Online learning is no exception. Detecting a learner’s emotional reaction for a given situation is an essential element for every Distant Learning Environment. Nevertheless, inferring a learner’s emotional reaction in those environments is not a trivial task. In this paper, we present an agent capable of predicting a learner’s emotional reaction in a distant learning environment based on the learner’s personal and non-personal traits using a machine learning technique, namely the ID3 algorithm. We then describe the agent’s method for predicting the learner’s emotional reaction and discuss the obtained results.
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