Adaptive Model of Classification of Professions in Vocational Guidance Systems

Vocational guidance is part of psychosocial development and understood as a method that helps to determine the most appropriate profession according aptitudes abilities student. The processes vocational are dynamic focus on educating favoring decision-making process in professional choice for learning pathway throughout student's life, which will benefit society long run. Most current solutions, both theoretical applied, from Europe North America differ when used Colombian context, mainly adults, since classifying professions not accurate nor precise. In addition, there various educational projects evaluation systems secondary education level institutions. At this level, students have changing implies taking into account specific characteristics also, student profile determinants. objective article describe adaptive model occupational classification integrated Intelligent Web Platform institutions Department Cauca. use CRISP-DM methodology allowed finding Naive Bayes Deep algorithms those with best performance professions.