Investigating the relationship between Gardner MultipleIntelligences and Raven intelligence by machine learning

The theory of Gardner ’s Multiple Intelligencesstates that human intelligence is composed of different types ofintelligences and that each individual possesses all of them but toa different degree. Since the high IQ societies Intertel and theInternational Society for Philosophical Enquiry (ISPE) accept theRaven Advanced Progressive Matrices as a qualification foradmission, and so does the International High IQ Society, themain objective of this research was to investigate betweenGardner ’s multiple intelligences and raven intelligence. Forgathering data, the following instrument is used. the RavenAdvanced Progressive Matrices test and Gardner ’s multipleintelligences questionnaire. Those was distributed to ۲۶۰students from two girls’ technical high schools in Falavarjan city(۲۰۲۱).Then we balanced them with Knnor algorithm, as a result,the data rose to ۳۸۷ recessions. Among Gardner's multipleintelligences, the result showed that, a strong correlation betweenthe Raven's intelligence and musical intelligence. Classificationalgorithms of machine learning entail Decision Tree, Extra Trees,Gradient Boosting, AdaBoost, Hist Gradient Boosting andRandom Forest are applied to the data set with the features, forpredicting Revan test. Using Hist Gradient Boosting classifier,۸۱.۰۲% accuracy was obtained. Based on the results, theperformances of classification algorithms are improved. So,applying the proposed feature selection method, along withclassification algorithms of machine learning seem to beconsidered as a confident method with respect to predicting theRaven test.

Keywords:

Gardner ’s Multiple Intelligences , Ravenintelligence , Correlation , machine learning , Classificationalgorithms.