Mapping The Multiple Intelligences Of Children In Classroom Learning

Abstract

Recently, Multiple-Intelligence-Based learning models have been widely used in classroom learning. Students are taught based on their multiple intelligences to have a good learning experience, but teachers must be able to recognize and map student intelligences before applying this learning model. This study aims to describe and properly map the multiple intelligence of children using biplot analysis. The research method used in this research is descriptive quantitative method. This research was conducted at Laboratory school (Labschool) Faculty of Education, University Muhammadiyah Jakarta in Primary School. Sample in this research is students in class 4.2. This analysis is expected to classify students based on the similarity characteristics of children, so that in one group has the same vision in problem solving. The results showed that all variables of multiple intelligences had a positive correlation with each other, but had the lowest correlation with kinesthetic intelligence. In addition, variables that have the smallest diversity are natural and visual intelligences. There are 4 groups of students that can be formed in multiple-intelligence-based learning, in which each group has different intelligences performance.