Open AccessMachine Learning Technique Analysis and Applications for Predicting Student Performance
Author(s) -
Evaristus Didik Madyatmadja,
Arif Susanto
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9678.109119
Subject(s) - scope (computer science) , computer science , field (mathematics) , focus (optics) , machine learning , artificial intelligence , active learning (machine learning) , mathematics education , data science , psychology , physics , mathematics , pure mathematics , optics , programming language
Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course.