Construction of Personalized Guidance Model in University Students' Career Planning Education

Abstract

With the quick changes in the world’s job market and more and more complex ways people make their careers, universities need to change how they teach students about planning for their working lives. A traditional generalized guidance model cannot cater for the different psychological characteristics and individual specialist interests of different students and personal skill deficiency which results in less than satisfactory engagement from students, generic results and poor career preparation for students. This paper fills this gap by giving an account and description of a novel Personalized Guidance Model (PGM) for university students’ career planning. PGM follows the principle of developmental and vocational theory, using today’s data/analytics/Machine Learning to move away from one size fits all to granular/needs based. The model consists of three major parts: comprehensive multi-dimensional evaluation, differentiated intervention plan formulation, and dynamic feedback and iterative adjustment. PGMs use strong digital portfolios and fancy measuring tools to match career advice, workshops, and helping mentors exactly with how each student’s brain is made. This makes students believe more in themselves and choose better things for their future. It’s to boost the practical effect of career services, encouraging more thorough student involvement so as to improve the satisfaction rate and long-term success of graduates’ careers significantly after they leave school to enhance the return on investment from higher education career improvement resources. To provide an educational administrator who wants to modernize its Career Planning curricula in order to prepare students for the workforce belonging to the 21st-century with a theoretical foundation and practical plan.