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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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Affectivity Level for Intelligent Tutoring System based on Student Stereotype

Affectivity is an important part of the learning process independent of the environment, face-to-face or with computational tools such as ITS. Several authors integrate affectivity in these systems. However, they provided the same affectivity for all students. The authors realized that affectivity did not benefit all students in the same way. This could be because these systems provided the same affectivity to all students, and every student is different and has different needs. For that reason we propose to crate a student stereotype to assign an affectivity level considering gender, academic performance and personality. Based on a questionnaire survey applied to 243 students we concluded that female irregular students are the students who need more affectivity (a lot of, in our scale) and male regular extrovert students need moderate affectivity (the minimum selected in our study).

Author(s):

Samantha Jimenez    
Universidad Autónoma de Baja California
Mexico

Reyes Juárez-Ramírez    
Universidad Autónoma de Baja California
Mexico

Víctor H. Castillo    
Universidad de Colima
Mexico

Alan Ramírez-Noriega    
Universidad Autónoma de Baja California
Mexico

Sergio Inzunza    
Universidad Autónoma de Baja California
Mexico

 

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