The power of genetic algorithm in automated assessment of school readiness


Suleiman I., Salman T., Gao S., POLAT F., Arslan M., Alhajj R., ...Daha Fazla

11th IEEE International Conference on Information Reuse and Integration, IRI 2010, Nevada, Amerika Birleşik Devletleri, 4 - 06 Ağustos 2010, ss.280-285 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iri.2010.5558924
  • Basıldığı Şehir: Nevada
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.280-285
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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. © 2010 IEEE.