Use of Artificial Intelligence in highly adaptive e-Revision Systems

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Effective revision is an ongoing process, not a cramming session just before the exams so as for the students to acquire knowledge, because in an examination it is not about how much you know, but rather when do you know it? So there is great need to develop tools that can efficiently increase the knowledge retention levels. The Intelligent Revision System (IRS) is a revision and instant marking system tool. It is an intelligent e-Learning system or Intelligent Learning System(ILS) that tries to improve students knowledge through the process of revision .Just like any other e-Learning system, a fundamental tenet of its design is that, ONE SIZE DOES NOT FIT ALL as the learning process varies considerably from student to student. Hence, an IRS will behave like a real teacher would, identifying your strengths and weaknesses and deploying a revision approach which will best fit your revision profile and personality.

Autorentext

Hilton Chikwiriro is a holder of a Masters degree in Computer Science. His research interests are in the fields of Neural Networks, Genetic Algorithms and Control Systems Design using Micro-Controllers.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 64
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 113g
    • Autor Hilton Chikwiriro , Pharaoh Chaka , Tarirayi Mukabeta
    • Titel Use of Artificial Intelligence in highly adaptive e-Revision Systems
    • Veröffentlichung 15.02.2013
    • ISBN 3659340111
    • Format Kartonierter Einband
    • EAN 9783659340116
    • Jahr 2013
    • Größe H220mm x B150mm x T4mm
    • GTIN 09783659340116

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