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Pregled bibliografske jedinice broj: 976037

Zbornik radova

Autori: Filipović, Danijel; Balaban, Igor; Oreški, Dijana
Naslov: Cluster analysis of students’ activities from logs and their success in self-assessment tests
( Cluster analysis of students’ activities from logs and their success in self-assessment tests )
Izvornik: Proceedings of 29th Central European Conference on Information and Intelligent Systems (CECIIS 2018) / Strahonja, V. ; Kirinić, V. (ur.). - Varaždin :
ISSN: 1847-2001
Skup: Central European Conference on Information and Intelligent Systems
Mjesto i datum: Varaždin, Hrvatska, 19-21.09.2018.
Ključne riječi: Cluster analysis, student activity, student success, logs, LMS
( Cluster analysis, student activity, student success, logs, LMS )
Sažetak:
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.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Informacijske i komunikacijske znanosti
Puni text rada: 976037.df_ib_do_ceciis2018.pdf (tekst priložen 27. Pro. 2018. u 15:01 sati)
Upisao u CROSBI: Danijel Filipović (dfilipovi@foi.hr), 27. Pro. 2018. u 15:01 sati



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