Career planning analysis system based on big data

Abstract

The invention discloses a career planning analysis system based on big data. The career planning analysis system comprises an evaluation module, a customization module, a learning plan module, an arrangement module and an analysis module. The evaluation module is used for providing career series evaluation, and receiving data input by the user based on the career series evaluation to generate assessment results; the customization module is used for customizing a school-rising guide for students according to evaluation results and academic levels; the learning plan module which is used for making a learning plan according to student evaluation results; the arrangement module is used for arranging colleges, majors and vocational related information collected by students; and the analysis module is used for analyzing the reasonability of colleges and majors collected by students and generating suggestions for selecting colleges and majors through a big data analysis technology according to the rising trend of recent years and own academic level score factors. Guidance is provided for students to make career planning schemes.

Description

technical field [0001] The invention relates to the field of intelligence, in particular to a career planning analysis system based on big data. Background technique [0002] At present, some schools are able to evaluate students' professional values, professional personality, and career interests. Based on their own evaluation results and combined with the career resource database, students can view the majors that suit them, so as to provide guidance for their careers. [0003] At present, the student career planning system used by most schools only evaluates students' professional personality, professional interests, professional values, and multiple intelligences, and then draws conclusions. These evaluation systems generally have the following shortcomings: [0004] (1) After the conclusion of the assessment, there is no detailed plan to guide students' future career planning, including guidance for further study, study plans, career counseling, etc.; [0005] (2) Ther...

AI Technical Summary

Problems solved by technology

[0004] (1) After the conclusion of the assessment, there is no detailed plan to guide students' future career planning, including guidance for further study, study plans, career counseling, etc.;

[0005] (2) There is no or only a small amount of career resource databases. The career resource databases include: college database, professional database, career database, career courses, etc. The amount of information in the career resource database is insufficient, and what students see is often many years ago If the data is not updated in time, it may mislead students;

[0006] (3) There is no systematic analysis of the personality distribution of the students in the school and the career data collected by the students;

[0007] (4) No collation and analysis of the collected students' personalities and interests, and no implementation of big data analysis technology

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