基于神经网络的智能教学系统学生模型设计

智能性是智能教学系统最重要的特性之一。为提高智能教学系统的智能水平,研究了利用具有较强自学习能力的人工神经网络来构建智能教学系统。从因材施教,准确反映学生学习状态、特征的角度出发,分析了学生学习过程中的影响因素,提出将学生的学习方式、学习习惯等因素纳入学生模型构建中,并对学生模型进行了设计。

Design of the Intelligent Tutoring System Student Model based on Neural Networks

Intelligence is one of the most important characteristics of Intelligent Tutoring System.In order to improve the intelligent level of Intelligent Tutoring System,by using Neural Networks with strong self-learning ability to build Intelligent Tutoring System,from the perspective of teaching students in accordance with their aptitude,accurately reflecting from students＇ learning status and characteristics,this paper analyses the influential factors of the students＇ study process,includes the students study habits,learning mode into student model and designs model of the students.