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What is Intelligent Profiling Systems

Prioritizing Skills Development for Student Employability
They are specialized software that create personal profiles for candidates by integrating multiple data sources and using machine learning. The exponential growth of data has made obtaining relevant information more complicated, so there was a shift from filtering mechanisms to creating the personal profile. A personal profile is a presentation of a person through a series of characteristics such as demographics, knowledge, technical skills, software skills, language skills, personal background, goals, hobbies, personality traits, interaction patterns, and others.
Published in Chapter:
From Traditional Career Services to Intelligent Systems for Career Guidance: A Study of Career Services Diversity in Higher Education Institutions
Maria-Iuliana Dascalu (National University of Science and Technology, Bucharest, Romania), Constanţa-Nicoleta Bodea (Bucharest University of Economic Studies, Romania), Iulia-Cristina Stanica (Polytechnic University of Bucharest, Romania), Dan Alexandru Mitrea (Polytechnic University of Bucharest, Romania), Simona Magdalena Hainagiu (Polytechnic University of Bucharest, Romania), Simona Nicoleta Neagu (Polytechnic University of Bucharest, Romania), and Tudor Mihai Ursachi (Polytechnic University of Bucharest, Romania)
Copyright: © 2024 |Pages: 31
DOI: 10.4018/979-8-3693-3571-0.ch004
Abstract
Several employment challenges may be overcome with career services, among other actions provided by higher education institutions. The chapter analyzes the diversity of career services that are usually delivered by the career guidance centers organized within higher education institutions. Many examples of career services are provided, based on the professional expertise of the authors, involved in developing career services with their university as well as at the regional level. The analysis is conducted using different service characteristics such as the following: novelty, duration, format, communication, feedback, digitalized degree, and requiring specialists' supervision. Based on this analysis, several conclusions are drawn, including recommendations for efficient organization of the career guidance centers within higher education institutions.
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