Cluster Analysis of Student's Activities from Logs and Their Success in Self-Assessment Tests.

Autor: Filipović, Danijel, Balaban, Igor, Oreški, Dijana
Předmět:
Zdroj: Central European Conference on Information & Intelligent Systems; 2018, p85-93, 9p
Abstrakt: Many educational institutions, especially the ones in higher education, implement Learning Management System (LMS) to assist teachers in teaching and aiding the students in learning. Some of such features available to teachers include logging student's activity and creating custom tests. This paper aims to: (1) Identify relationship between the student's activity on the course and their success on the self- assessment tests; and to (2) Create behavioural profiles of students. In order to do so, the correlation analysis and cluster analysis are performed on a data set retrieved from a course implemented on the Moodle LMS at the University of Zagreb, Faculty of organization and informatics. The research results indicated the relationship between students' activities and their performance, as well as the profiles of students based on their activities and success on tests. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index