As generation Z's big data is flooding the Internet through social nets,
neural network based data processing is turning an important cornerstone,
showing significant potential for fast extraction of data patterns. Online
course delivery and associated tutoring are transforming into customizable,
on-demand services driven by the learner. Besides automated grading, strong
potential exists for the development and deployment of next generation
intelligent tutoring software agents. Self-adaptive, online tutoring agents
exhibiting "intelligent-like" behavior, being capable "to learn" from the
learner, will become the next educational superstars. Over the past decade,
computer-based tutoring agents were deployed in a variety of extended reality
environments, from patient rehabilitation to psychological trauma healing. Most
of these agents are driven by a set of conditional control statements and a
large answers/questions pairs dataset. This article provides a brief
introduction on Generation Z's addiction to digital information, highlights
important efforts for the development of intelligent dialogue systems, and
explains the main components and important design decisions for Intelligent
Tutoring System.Comment: 4 page
