Data preparation and exploration for descriptive modelling in education (CROSBI ID 721146)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kadoić, Nikola ; Oreški, Dijana ; Višnjić, Dunja
engleski
Data preparation and exploration for descriptive modelling in education
Education domain generates huge amounts of data, especially in online teaching and learning. Data analysis enables detecting patterns of students' learning behavior which leads to personalized attention and adaptive feedback. Learning management system (LMS) data are in the focus of this paper. The LMS logs store information about students’ login frequency, time of visits, number of downloading different resources, time and frequency of various activities. Within this research, log file analysis is performed from a Business decision making course at the University of Zagreb. Raw LMS data were extracted from Moodle, data was prepared, explained and explored in order to detect patterns in student’s behavior in the online environment. Research results provide a basis for teachers’ interventions on one hand, and serve as an input into predictive models’ development, on the other hand.
LMS data ; educational data mining ; descriptive modeling.
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Podaci o prilogu
189-196.
2022.
objavljeno
Podaci o matičnoj publikaciji
Pinto da Costa, Maria E. ; do Rosario Anjos, Maria ; Roska Vlasta
Porto:
1849-7535
Podaci o skupu
Economic and social development : 85th International Scientific Conference on Economic and Social Development
predavanje
21.07.2022-22.07.2022
Porto, Portugal