Intelligent career guidance system for applicants of the University of Applied Science and Technology
Subject Areas :مصطفی یوسفی طزرجان 1 * , Maryam Mollabagher 2
1 -
2 - Faculty Member of University of Applied Science and Technology, Department of Management and Social Services, Tehran, Iran
Keywords: Decision Tree, Expert System, Fuzzy, Career Guidance, Field Selection.,
Abstract :
Objective: The purpose of this research is to design and implement an intelligent system for the career guidance of UAST candidates based on personality characteristics, types of fields and educational centers. Methodology: The present research is practical in terms of its purpose. A decision tree was used to identify successful patterns in choosing the right field. The decision tree was implemented on the data of previous university graduates to identify successful patterns in choosing a major. Next, a fuzzy expert system was designed for university applicants. The design of the expert system is based on semi-structured interviews with experts in this field, including career counseling professors and university managers, based on the results of interviews with experts in this field. The success pattern of previous university graduates was extracted with a decision tree. The information of 142 former university graduates was used to train the decision tree. The implementation of the decision tree and expert system has been done using the Python programming language. In this research, a system has been created to help the candidates to enter UAST based on the indicators and the admission mechanism. Fuzzy expert system was created to guide the career of university candidates. To evaluate the accuracy of the designed system, first the model and the implemented rules were explained to 3 experts in field selection counseling and they got their approval, and then the proposed system was implemented for 67 candidates and the results were compared with the opinion of these experts and the accuracy of the model were confirmed. Conclusion: This fuzzy expert system can significantly improve the process of choosing university majors by providing personalized and data-based recommendations, enhancing decision-making, reducing inconsistencies in academic choices, and supporting counselors in guidance roles. The software system enables easy access from all parts of the country and provides expert knowledge to a wide range of volunteers at the lowest cost. Originality: The software system enables easy access from all parts of the country and provides expert knowledge to a wide range of volunteers at the lowest cost.
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