Bayesian based student knowledge modeling / Nabila Ahmed Khodeir ; Supervised Nevin Darwish , Nadia Hegazi
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- نمذجة معلومات الطالب فى نظم المعلومات الذكية باستخدام الشبكات البايزية [Added title page title]
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Cai01.13.06.Ph.D.2009.Ha.E The evolvability of artificial neural networks as applied to nuclear safety / | Cai01.13.06.Ph.D.2010.Mo.F First order rule based neural symbolic integration system / | Cai01.13.06.Ph.D.2010.Mo.F First order rule based neural symbolic integration system / | Cai01.13.06.Ph.D.2011.Na.B Bayesian based student knowledge modeling / | Cai01.13.06.Ph.D.2011.Na.B Bayesian based student knowledge modeling / | Cai01.13.06.Ph.D.2012.Wa.N A new partical swarm technique for multi-objective goals with applications to stock market prediction and portfolio selection for investment corporations / | Cai01.13.06.Ph.D.2012.Wa.N A new partical swarm technique for multi-objective goals with applications to stock market prediction and portfolio selection for investment corporations / |
Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
The student model is a core component of any intelligent tutoring system . Accurate modeling of the student knowledge and features ensures that a system appropriately caters for the student's specific needs . In this work we propose a new adaptive assessing algorithm to model the student knowledge in a probabilistic domain
Issued also as CD
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