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Artificial Intelligence in Neuroeducation: The Influence of Emotions in the Learning Science

Abstract:

Teaching is considered an emotional practice, in which emotions play a vital role in the cognitive and efficient learning processes. In this sense, the principal aim of this work is to present an artificial and psychological vision to analyze the facial expressions in higher education students. The proposed methodology is based on an emotional study during the math, physics, and biology evaluation process, applying a psychological test and face recording video under controlled conditions. The results indicate that the negative moods can influence, generating a low percentage in the accuracy of the answers during the evaluation. In conclusion, this reveals that it is necessary to provide new educational models that involve emotional development and a good teacher attitude. Finally, it is important to recognize that to enhance educational processes such as learning, it is necessary including innovative and emerging technologies, such as artificial intelligence methods.