Adaptive Educational Software by Applying Reinforcement Learning

Abstract

The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt the system to the environment internal and external conditions, and allow this system to interact efficiently with its potentials user. The intention is to automate and manage the pedagogical process of tutoring system, in particular the selection of the content and manner of pedagogic situations. Researchers create a pedagogic learning agent that simplifies the manual logic and supports progress and the management of the teaching process (tutor-learner) through natural interactions.

Keywords

• adaptive system
• tutoring system
• agent
• environment
• natural interaction
• reinforcement learning