A New Clustering Personality for Higher Education Selection Based on Multiple Intelligences

This study aims to formulate a counseling model assisting high school students in making informed decisions regarding higher education based on their Multiple Intelligences (MI)-derived aptitudes. Data from 294 higher education students and graduates were collected and subsequently analyzed using K-Means clustering and Repeated Measurement ANOVA. The outcomes revealed the classification of participants into five distinct clusters, each exhibiting unique personality traits aligned with MI (F <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">(4)</inf> = 262.89, p < 0.001, η 2 = 0.35). Evaluation of the model's accuracy using K-fold Cross Validation with 5 fold yielded a result of 75.51%. The study further establishes a correlation between these groups and the aptitude characteristics of corresponding faculty groups. Consequently, the model discerns faculty trends suitable for individuals undergoing aptitude assessments, facilitating a more tailored approach to selecting a university for their continued education.