MASEIS 2019 Conference

The Multiple Intelligence optimize activity using discovery learning models that improve learning outcome in trigonometry class
Effie Efrida Muchlis, Syafdi Maizora, Dewi Rahimah

Universitas Bengkulu


Abstract

The aim of this research was to describe the Multiple Intelligence optimize activity using discovery learning models that improve learning outcome in trigonometry class. The type of this research was classroom action research, with the steps were planning, implementing, observing and reflecting. The subject of this research was students of Mathematics Education who took trigonometry class in the first semester of the academic year 2017/2018. The instrument used was a test of Multiple Intelligence, observation sheet and learning outcome test. The results of the analysis of activity observation sheet with discovery learning and Multiple Intelligence tests obtained: 1). Linguistic intelligence was optimized with the discussions and respond to the problem, 2) Mathematical-logical and intrapersonal intelligence optimized through the activities of verification, 3) musical intelligence was optimized through listening to music in the application of the concepts activity, 4) Space-visually intelligence optimized through working on the problems in the application concept activity, 5) interpersonal intelligence was optimized through data collection activity occurred cooperation in solving the problems 6) Space-spatial intelligence could optimized directly by expressing the concept after making the observation and manipulation of props. The average of learning outcome increased in every cycles, the average of learning outcome in the 1st cycle was 69,92. The average of learning outcome in the 2st cycle increased to 78,45. The average of learning outcome in the 2st cycle increased to 85,48.

Keywords: Multiple Intelligence, discovery learning, activity, learning outcome

Topic: Mathematics Education

Link: https://ifory.id/abstract-plain/TPcHxzAUQ7E8

Web Format | Corresponding Author (Effie Efrida Muchlis)