Early Warning Systems Based on Prediction Learning Progress Ria Arafiyah1,2, Zainal A. Hasibuan1, Harry Budi Santoso1
a. Faculty of Computer science,
Universitas Indonesia.
b. Computer Science Department
Universitas Negeri Jakarta
Abstract
Almost in every course, there are some successful learners and unsuccessful learners. Many ways to do to reduce unsuccess learners. At the end of the course, sometimes the learner has a disappointment. To prevent unsuccess learners, it needs a way to predict learners progress. The prediction can be used as an early warning system (EWS) that can be warned earlier along the learning process so it will reduction unsuccess learners and even can mending successful learners. Machine learning used to build model predictions based on data of assessment results from 46 learners in primary school. Monitoring learning progress in EWS purposes to make a function that can predict learning progress. EWS will detect learners progress according to the progress and be mapped to the decision threshold.
Keywords: Early Warning System (EWS), learners progress, machine learning, model predictions
