A New Approach of Integrating Serious Games in Intelligent Tutoring Systems

Author(s):  
Mohammed Beyyoudh ◽  
Mohammed Khalidi Idrissi ◽  
Samir Bennani
Author(s):  
Yunia Reyes-González ◽  
◽  
Natalia Martínez-Sánchez ◽  
Adolfo Díaz-Sardiñas ◽  
Marisol de la Caridad Patterson-Peña ◽  
...  

2018 ◽  
Vol 5 (3) ◽  
pp. 79-112
Author(s):  
Francisco S Melo ◽  
Samuel Mascarenhas ◽  
Ana Paiva

This paper provides a short introduction to the field of machine learning for interactive pedagogical systems. Departing from different examples encountered in interactive pedagogical systems—such as intelligent tutoring systems or serious games—we go over several representative families of methods in machine learning, introducing key concepts in this field. We discuss common challenges in machine learning and how current methods address such challenges. Conversely, by anchoring our presentation on actual interactive pedagogical systems, highlight how machine learning can benefit the development of such systems.


Author(s):  
Mohammed Beyyoudh ◽  
Mohammed Khalidi Idrissi ◽  
Samir Bennani

In this paper, a new approach of intelligent tutoring systems based on adaptive workflows and serious games is proposed. The objective is to use workflows for learning and evaluation process in the activity-based learning context. We aim to implement a system that allow the coexistence of an intelligent tutor and a human tutor who could control and follow-up the execution of the learning processes and intervene in blocking situations. Serious games will be the pillar of the evalu-ation process. The purpose is to provide new summative evaluation methods that increase learner’s motivation and encourage them to learn.


2000 ◽  
Author(s):  
Christine Mitchel ◽  
Alan Chappell ◽  
W. Gray ◽  
Alex Quinn ◽  
David Thurman

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