The Employability Diagnosis System Based On Smart Cloud Data and Diagnostic Support Can Provide Learning Support and Guidance for Improving the Employability Skill of College Students

Abstract

The current job market is still fiercely competitive, with limited job opportunities, narrow employment concepts among students, weak proactive employment awareness,weak ability to collect and screen employment information, poor job application ability, and common problems of difficult employment, slow employment, and lack of employment. The research object of this article is third year graduates.Due to factors such as the national economic environment, social employment situation, market environment, school curriculum, and personal comprehensive quality, the employment ability of college students is generally not high, and there is a prominent problem of insufficient employment ability. Therefore, studying the employment problem of students has scientific significance and practical value. The research purpose of this article is to accurately identify the problems existing in students' employability and how to improve their employability, providing more scientific decision-making basis for school employment guidance work. Therefore, this article analyzes the factors that affect the success of student employment through the diagnostic thinking of employment ability, designs a college student employment ability guidance system based on electronic and diagnostic thinking, and uses diagnostic labels to classify student employment issues. The system has comprehensive, convenient, and efficient functions, and can provide scientific, clear, and accurate direction and basis for school employment guidance work. The experimental results of this article indicate that when analyzing the employment situation of students through traditional employment guidance teachers or career counselors, the accuracy rate of the problem of insufficient employment ability of students is 46.6%. However, when analyzing the employment situation of students through the system, it was found that the accuracy rate of the problem of insufficient employment ability of students was 95.6%. From this, it can be seen that the system provides a more accurate analysis of employability.