Multiple intelligences and reading comprehension of senior high school students: A response evaluation through educational data mining technique

Abstract

This study predicts the accurateness of the students’ responses in the actual evaluation conducted in San Jose, District of Dinagat Islands, Philippines, in determining the Multiple Intelligences (MI) and Reading Comprehension in Literature of the Senior High School students as basis for an intervention program. In this paper, the prediction which is one of the optimal techniques in data mining was observed to test the accurateness of the responses as perceived by the 319 senior high school students. The use of the Naïve Bayes algorithm depicted a 79.93% accuracy when applied in the evaluation dataset when performed using the 10-folds cross-validation scheme in WEKA software. The high accuracy percentage denotes that the actual study is worthy of implementation. It is hoped that the study will contribute to the two major kinds of literature; data mining and in higher education mining.