This study establishes Core Competency-based Career(CCC) recommendation model after collecting 302 university department data containing interests and aptitudes of about 101,000 high school students from CareerNet Open API ‘department information’, and preprocessing it in an appropriate form, and used k-NN algorithm. First, this study decides k(=1) by 5-fold cross-validation which represents misclassification error minimum, proves this model valid with accuracy 89%, κ = .87, precision and recall above 0.8, F1 score above 0.8. Second, this study confirms that CCC recommendation model could be applied to students who have various kinds of properties in real life after applying 4,224 simulation data to the model and mapping PCA graph. Third, CCC recommendation model could be used as a means of subject-integrated career education by providing information on departments based on core competencies, as well as information on departmental universities, the competition rate of entrance exam, the rate of employment, the first job wages, and jobs related.
This study has educational implication for presenting the direction of competency- oriented curriculum and clarifying the action plan for it, and suggests the develop a user friendly interface which makes CCC recommendation model be used with ease, and to apply it to real cases in school.