Abstracts Book - IMRC 2018

• SF7-P002
ARTIFICIAL INTELLIGENCE TECHNIQUES FOR CREATING
ADAPTIVE LEARNING STYLES FOR ONLINE EDUCATION
Angel G. May 1 , Alejandro del Rey Torres Rodriguez 1 , Rajesh Roshan Biswal 1
1 Instituto Tecnologico Superior de Misantla, Ingenieria de Sistemas Computacionales, Mexico.
In this paper, one of the topics which in many countries and particularly in
Mexico, has been one of the greatest headaches of students, has been
addressed: the study, understanding and application of science through online
courses, a theme that is most evident in the University stage where the degree
of complexity and abstraction of problems is higher and requires a greater level
of understanding. This is why, it is proposed to develop an adaptive learning
system of online education, in the Moodle environment, and through the
implementation of Artiï¬Â•cial Intelligence, in order to help improve the use
of online courses in Science and Engineering, at the university level.
Acknowledgment:
The authors are grateful to Caroline Conchita Alvarez Roque and M.SC. Galdino
MArtinez Flores for the necessary help and support. We thank ITSM and Conacyt
for provinding the scholarship to the Master students.
Keywords: Artificial Intelligence, Adaptive Learning, Q-Learning
Presenting authors email: 162t0004@itsm.edu.mx