Research on the Effects of Emotional Intervention in Online Learning

Abstract

Emotions play a major role in a student’s academic performance. As online learning becomes popular in learning institutions around the world, this paper proposes an emotional intervention model for online learning using machine learning. This is to be achieved by two models, an emotion recognition model that takes student’s video data during online classes and classifies the student’s current emotional state, and an emotional intervention model that takes input data from the recognition model and determines the best emotional intervention strategies and techniques for the student. This paper explains the theory behind the need for such a model and gives a hypothetical use-case scenario of its implementation.