Abstract
Schools, universities, colleges and other educational institutions store a lot of data related to students and teachers as well as those related to education. You can analyze this data to gain insights that can improve the operational efficiency of your organization. Educational institution's needs based on student behavior, student exam results, each student's growth and changed educational regulations can be handled through statistical analysis. Big Data asphalt the way for innovative systems that students learn in exciting ways. The use of Learning Management Systems gave birth to a data explosion in higher education which became an innovation for the world of education, namely Big Data. These large amounts of digital data will provide information on what students and student behavior and involvement, their assessment, motivation and preferences, thus providing a large amount of data that can be mined for the learning experience. By utilizing the results of Big Data analysis in tertiary institutions, it can be obtained more insight into students, academics and the process in higher education so that it supports predictive analysis and increases decision making based on data which in turn can help improve the successful performance of students and institutions. This study using secondary data collection methods from journals or books. Method used is an analysis using the Decision Tree, Naive Bayes and K-Means. These results can predict the value obtained by students Learning Effectiveness in an educational institution, then a solution can be searched to increase the value of students in that institution.
Highlights
Big data transform education throughout the learning process, from basic to universities
The use of digital devices is expected to become widespread in education system schools, districts and other educational institutions (Bamiah et al, 2018)
This study presents an implementation or with Big Data to predict student learning effectiveness in institutions educational
Summary
Big data transform education throughout the learning process, from basic to universities. With the development of sophisticated technology in the education system, Big Data helps instructors to realize human characters better and form new findings. Rather than taking classes in physical or face-to-face schools, many millions of students are currently enrolled in virtual schools to take classes full time or partially online (Aud and Wilkinson-Flicker, 2013). Existence of computing currently owned by many people with a composition of 1 to 1, such as laptops, netbooks, or tablets provided by the campus to every student at school and at home are gaining momentum (Topper and Lancaster, 2013). The use of digital devices is expected to become widespread in education system schools, districts and other educational institutions (Bamiah et al, 2018)
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