Analysis of Student Activities in E-learning Based on Multiple Intelligences

Abstract

The concept of e-learning provides more intensive interaction between lecturers and students, students and students, both in the classroom and outside. E-learning can increase student interest in optimizing the potential of multiple intelligences. Incorporating Multiple Intelligences into e-learning strategies provides a level of flexibility in how students can carry out their learning and provide a collaborative and interactive environment. This study aims to analyze student activity in e-learning based on multiple intelligences. The method used is descriptive qualitative by analyzing student activities in e-learning based on the classification of 8 Multiple Intelligences. The results of this study stated the percentage of students based on multiple intelligences obtained the highest percentage value of 38% Naturalist intelligence, 24% Musical intelligence, 17% Visual Spatial intelligence, Logic mathematical intelligence and Interpersonal intelligence 7%, Kinesthetic intelligence 4%, Intrapersonal intelligence 3%, and Linguistic intelligence 0%. Analysis of e-learning activities obtained the highest frequency by visua-spatial intelligence with a percentage of 82%, dominant naturalist intelligence possessed by students in the class has a percentage of 74%, then intrapersonal intelligence as much as 63%, kinestetic intelligence 53%, interpersonal intelligence 47%, musical intelligence 31%, and logic-mathematic intelligence 29%. Because in this class the dominant type of naturalist intelligence, e-learning is declared suitable to be applied because this intelligence is included in the active category of activities in e-learning.