Using Genetic Algorithms in Pervasive Learning Systems
Siranush Gegham Sargsyan, Anna Hovakimyan · 2015
In this article an approach for the problem of building such tools of pervasive learning system that gives the user a chance to get the desired knowledge of teaching course in a user adaptable manner is suggested. This approach is based on “teaching scenarios” (sequence of teaching units) being constructed during the process of learning. We introduce a tool that builds user adaptable teaching scenarios based on Genetic Algorithms, built-in the Genetic Chooser Algorithm (GCA). These scenarios are being constructed via the quality and quantity characteristics of the teaching units and user’s knowledge. A course-map building tool is also introduced in GCA that helps user to see his /her progress through the course.