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- W2099363783 abstract "Adaptive e-learning systems hold promise for the future development as innovative technologies continuously appear in the field. Along with the facilities that they provide, they have led to enhanced education. Students can receive customized learning with improved alternatives for learning anytime and anywhere. This field has a direct relation with the emergence of new technologies, advances in learning, machine learning and artificial intelligence therefore the future of this field is wide open (Shute, 2007). This paper aims to investigate developed and emerging technologies for student modeling in personalized e-learning systems and discusses a proposed style that is being developed to address issues in the field of adaptive e-learning. Various techniques have been generated for collecting data about students’ characteristics and integrated into e-learning systems." @default.
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- W2099363783 date "2009-10-26" @default.
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- W2099363783 title "Investigation on Student Modeling in Adaptive E-learning Systems" @default.
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