Construction and Practice of Cloud Computing-Based Service Platform for College Career Planning

In order to further enhance the effectiveness and scientificity of career planning education for students in colleges and universities, cultivate students’ awareness of career planning and improve their career planning ability. This paper designs a career planning service platform based on cloud computing. The platform realizes the management of student information in different modules according to different cloud services by analyzing the needs of resource management, interaction, growth tasks, and personal growth that are necessary for students’ career planning. In addition, the association rule algorithm in the data mining algorithm was applied to the design of the platform as a way to analyze the association between students’ interests and career skills. The multidimensional association rule algorithm mined out the main association rules that existed between students’ interests and vocational skills in the three categories of S2S, D2S and D2D. It was found that career identity shows a decreasing trend with grade level, and there is a correlation between the five dimensions of career expectations, career emotions, career awareness, career will, and career behaviors and tendencies Career planning service platform mines out the deficiencies in students’ career planning, and provides help for teachers and school administrators to provide students with reasonable guidance on career planning.