Notwithstanding the cognitive benefits of positive emotion, researchers in affective computing also find that deep learning must always involve a fair amount of negative emotion, concentrated in the phase in which students are struggling mightily to grasp new ways of thinking. In fact, students show the lowest levels of enjoyment during learning under the conditions in which they learn the most, and the feeling of confusion turns out to be the best predictor of learning.
Posted on: Wed, 24 Sep 2014 16:43:14 +0000
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