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• W3014763670 abstract "Abstract Higher education provides a common educational pattern to all students in colleges and universities. However, under the general law of higher education, the teaching and education of a certain category or subject has its special regularity. Besides, students in colleges and universities have different demands of education. To address the challenges in higher education, it is very important to carry out higher education reform in colleges and universities. Personalized education has been considered to be a new educational model that is a result of the individual desire of students and the development of society. Traditional methodologies of teaching in colleges and universities cannot fulfill the implementation of personalized training. Hence, it is very urgent to develop new methodologies for personalized training. Among the methodologies of realization of personalized training, artificial intelligence is one of the most important methodologies. We exploit artificial intelligence for personalize education reform. First, we analyze the information of students before entering the colleges and universities. Then, we propose a method to extract modeling features of the student information. Second, we propose a method to build a personalized training model based on artificial intelligence. Third, we propose a method to predict the development track of students based on the personalized training model. On the basis of above designs, we design personalized training for students in colleges and universities. Furthermore, we implement our design by using artificial intelligence. Besides, our design can be applied to the career planning or related areas." @default.
• W3014763670 created "2020-04-10" @default.
• W3014763670 creator A5024484372 @default.
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• W3014763670 date "2020-03-31" @default.
• W3014763670 modified "2023-10-15" @default.
• W3014763670 title "Building an efficient artificial intelligence model for personalized training in colleges and universities" @default.
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• W3014763670 doi "https://doi.org/10.1002/cae.22235" @default.
• W3014763670 hasPublicationYear "2020" @default.
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