Personalized education management system and method based on data analysis, and medium

Abstract

The invention discloses a personalized education management system and method based on data analysis, and a medium. Compared with a conventional personalized education push scheme, the system carries out the evaluation of an interest scheme and the understanding acceptance capability of students, generates a personalized screening scheme, and carries out screening of the personalized screening scheme through an interest screening scheme and a student learning pushing scheme; in this way, content involved in the finally obtained personalized training scheme is more in line with interests, hobbies and understanding acceptability of students, fatigue of long-time learning can be effectively relieved, and self-learning willingness of the students is improved. Meanwhile, a progressive training scheme which does not span the understanding and accepting range of the students also enables the students to accept and understand the training learning content more quickly.

Description

technical field [0001] The invention relates to the related field of distance education, in particular to a personalized education management system, method and medium based on data analysis. Background technique [0002] With the rapid development of network technology, the big data that used to be in our mouths has now completely integrated into the era we live in, affecting and changing our lives everywhere and in places and fields that ordinary people cannot touch. Lifestyle; big data feeds from video sites, shopping sites, and news sites, and big data friends and other familiar words and phrases all tell us that the development of big data has gradually reached a relatively mature state. [0003] The rapid development of network technology and big data has also provided more ways and choices for today's education model. Remote classrooms and remote tests based on remote networks have broken the traditional teaching methods limited to time and space. The teaching conten...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, the personalized education method using big data analysis mostly uses big data to analyze the results of students' quizzes and questions, and then carry out targeted push training on error-prone content, so as to improve the efficiency of learning; However, in heavy learning tasks, the sense of boredom and exhaustion brought about by long-term massive training will reduce the efficiency of learning to a certain extent, reduce the effect of targeted training, and the learning acceptance ability of different students is also different. Most of the traditional personalized education methods only focus on the learning content, without considering the students' acceptance of the learning content

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