Naslov
Data preparation and exploration for descriptive modelling in education

Autori
Kadoić, Nikola ; Oreški, Dijana ; Višnjić, Dunja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
85th International Scientific Conference on Economic and Social Development, Book of Proceedings / Pinto da Costa, Maria E. ; do Rosario Anjos, Maria ; Roska Vlasta - Porto, 2022, 189-196

Skup
Economic and social development : 85th International Scientific Conference on Economic and Social Development

Mjesto i datum
Porto, Portugal, 21.07.2022. - 22.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
LMS data ; educational data mining ; descriptive modeling.

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA