Learning Analytics e Computação Afetiva: Detecção da Frustração no Uso de um Jogo Educacional em Dispositivo Móvel

Abstract

The identification of the affective state of a student allows the instructor to act in a way that facilitates learning. Frustration can be an important barrier to learning. This is an exploratory work aiming to use Learning Analytics to detect the inset of the frustration state when the student is involved in a learning task based on an educational game. Different personas were created presenting varying degrees of frustration, behavioural data was generated for five students corresponding to each persona. By analising this data it is possible to cluster the students in a way that the frustrated students can be identified.