Mood Inference Machine: Framework to Infer Affective Phenomena in ROODA Virtual Learning Environment

International Journal of Advanced Corporate Learning (iJAC)

Magalí Teresinha Longhi¹  Patricia Alejandra Behar¹  Magda Bercht¹ 

[1] Federal University of Rio Grande do SulFederal University of Rio Grande do SulFederal University of Rio Grande do Sul

关键词: Affective modeling;    Bayesian networks;    virtual learning environments;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

This article presents a mechanism to infer mood states, aiming to provide virtual learning environments (VLEs) with a tool able to recognize the student?s motivation. The inference model has as its parameters personality traits, motivational factors obtained through behavioral standards and the affective subjectivity identified in texts made available in the communication functionalities of the VLE. In the inference machine, such variables are treated under probability reasoning, more precisely by Bayesian networks.

【 授权许可】

Unknown