A study of factors affecting the selection field of vocational certificate students to pursue higher vocational certificate programs using data mining techniques.

Abstract

The objectives of this research were; 1) to identify factors affecting the choice of field of study of vocational certificate students to study at the higher vocational level; 2) to construct a model affecting students' choice of field of study; 3) to apply data mining techniques to recommend fields for students to choose for further study. 251 data at
vocational certificates graduated in the academic year between 2017 and 2020, Krabi College of Agriculture and Technology, Data classification based on the Decision tree evaluation was performed using 5-fold cross-validation and 10-fold cross-validation methods. representing similar efficient results: Accuracy (Precision 98.5%), Sensitivity (Recall 100%), Efficiency (F-Measure 99.3%), and 4 rules were obtained. The result of mining affinity rules using the Apriori algorithm specifies 0.3 Minimum Support, 0.8 Minimum Confidence, 0.4 Minimum Support, and 0.7 Minimum Confidence. When the rules are compared if the Duplicate rule Data can be summed up by 4 rules. From the two data mining principles, the correlation rules are in the same direction. Students will choose to study at the same college only if the same branch is supported by a higher level.