Choosing a career path is a crucial decision in a high school student's life. With the proliferation of educational options, the process can be overwhelming. This is where machine learning (ML) comes in and specifically, clustering, which is a technique used to group similar data. This approach helps you find a career that fits your interests and skills. Clustering applied in career counseling involves analyzing data related to students’ interests, skills, personality, and preferences. ML algorithms group students into categories according to common patterns. A student who shows an affinity for mathematics and problem solving might be grouped into a set that suggests careers in fields such as engineering. This provides accurate, personalized guidance for students who are exploring their career options. Data science helps students understand the demands of the job market.

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Interpretive Clustering in Vocational Orientation as a Tool for Career Planning

  • José L. Cendejas Valdez,
  • Gustavo Adolfo López Saldaña,
  • Sergio Rogelio Tinoco Martínez,
  • Heberto Ferreira Medina,
  • Gustavo A. Vanegas Contreras,
  • Jesús L. Soto Sumuano,
  • Juan J. Ocampo Hidalgo,
  • Yadira Guillén Sánchez

摘要

Choosing a career path is a crucial decision in a high school student's life. With the proliferation of educational options, the process can be overwhelming. This is where machine learning (ML) comes in and specifically, clustering, which is a technique used to group similar data. This approach helps you find a career that fits your interests and skills. Clustering applied in career counseling involves analyzing data related to students’ interests, skills, personality, and preferences. ML algorithms group students into categories according to common patterns. A student who shows an affinity for mathematics and problem solving might be grouped into a set that suggests careers in fields such as engineering. This provides accurate, personalized guidance for students who are exploring their career options. Data science helps students understand the demands of the job market.