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

Orlando Bisacchi Coelho | Zendy

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

Author(s) -

Orlando Bisacchi Coelho

Publication year - 2016

Publication title -

anais ... workshops do congresso brasileiro de informática na educação

Language(s) - English

Resource type - Conference proceedings

ISSN - 2316-8889

DOI - 10.5753/cbie.wcbie.2016.999

Subject(s) - persona , frustration , learning analytics , task (project management) , computer science , identification (biology) , analytics , educational game , psychology , mathematics education , human–computer interaction , data science , multimedia , social psychology , engineering , botany , systems engineering , biology

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.

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