Investigating the relationship between IQ and learning styles

In this study, the relationship between IQ and learning styles was investigated and for this purpose, educational personalization strategies were evaluated by identifying unknown and ambiguous relationships between the created data. In this research, to find this relationship, one of the data mining methods called exploratory association rules has been used. In this study, by designing the site and implementing it in schools, a large database was created and ambiguous relationships between demographic characteristics such as gender, aptitude and IQ, academic outcomes and interests with learning styles were discovered. Personalization of student learning has been explained. The innovation of this method compared to other methods is its dynamic aspect. By implementing the student data processing system, we can completely monitor students' activities at different times from the beginning of the study to the end.In this study, three modules were selected for the sample and the aim was to prove the use of big data in students' learning.