Penggunaan Data Mining dalam Kegiatan Sistem Pembelajaran Berbantuan Komputer

Abstract

Web-based educational systems and intelligent guidance systems collect large amounts of student data, from web logs to student models. Data mining applications on such data can help find relevant knowledge to improve computer-aided learning systems. Using knowledge, teachers can better understand [how students learn by studying a group of students in order to improve teaching and learning. In this paper, the process of data mining will be separated into data collection, data transformation, and data analysis. Association rules, classification, and clustering of data mining algorithms that are explored in data analysis for computer-assisted learning systems