Cart (Loading....) | Create Account
Close category search window

The power of genetic algorithm in automated assessment of school readiness

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Suleiman, I. ; Dept of Comput., Univ. of Bradford, Bradford, UK ; Salman, T. ; Shang Gao ; Polat, F.
more authors

A major challenge that faces most families is effectively anticipating how ready to start school a given child is. Traditional tests are not very effective as they depend on the skills of the expert conducting the test. We argue that automated tools are more attractive especially when they are extended with games capabilities that would be the most attractive for the kids to be seriously involved in the test. We have integrated a modified genetic algorithm into a computerized assessment tool for school readiness. Our goal is to create a computerized assessment tool that can learn the user's skill and adjust the assessment tests accordingly. The user plays various sessions from various games, while the Genetic Algorithm (GA) selects the upcoming session or group of sessions to be chosen for the user according to his/her skill and status. In this paper, we describe the modified GA and the learning procedure. We integrate a penalizing system into the GA and a fitness heuristic for best choice selection. We present two methods for learning, a memory system and a no-memory system. Furthermore, we present several methods for the improvement of the speed of learning.

Published in:

Information Reuse and Integration (IRI), 2010 IEEE International Conference on

Date of Conference:

4-6 Aug. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.