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izvor podataka: crosbi

Cluster analysis of students’ activities from logs and their success in self-assessment tests (CROSBI ID 671077)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Filipović, Danijel ; Balaban, Igor ; Oreški, Dijana Cluster analysis of students’ activities from logs and their success in self-assessment tests // Central European conference on information and intelligent systems / Strahonja, V. ; Kirinić, V. (ur.). 2018. str. 85-93

Podaci o odgovornosti

Filipović, Danijel ; Balaban, Igor ; Oreški, Dijana

engleski

Cluster analysis of students’ activities from logs and their success in self-assessment tests

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.

Cluster analysis, student activity, student success, logs, LMS

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Podaci o prilogu

85-93.

2018.

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objavljeno

Podaci o matičnoj publikaciji

Central European conference on information and intelligent systems

Strahonja, V. ; Kirinić, V.

Varaždin:

1847-2001

1848-2295

Podaci o skupu

29th Central European Conference on Information and Intelligent Systems (CECIIS 2018)

predavanje

19.09.2018-21.09.2018

Varaždin, Hrvatska

Povezanost rada

Informacijske i komunikacijske znanosti