Work

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

Year: 2012

Type: article

Abstract: This article presents a mechanism to infer mood states, aiming to provide virtual learning environments (VLEs) with a tool able to recognize the studentâ??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.

Source: International Journal of Advanced Corporate Learning (iJAC)

DOI: 10.3991/ijac.v5i1.1740

Authors: Magalí Teresinha Longhi, Patricia Alejandra Behar, Magda Bercht

Institution: Universidade Federal do Rio Grande do Sul

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W1991878740

FWCI: 0.256

Cites: 13

Cited by: 2

Related to: 10