Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.
Explores the cognitive process of learning, misconceptions, and motivation in learning, emphasizing the importance of practice, repetition, and intrinsic value.
