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Pregled bibliografske jedinice broj: 1025022

Benefits of educational data mining


Bilal Zorić, Alisa
Benefits of educational data mining // Economic and Social Development 44th International Scientific Conference on Economic and Social Development Book of Proceedings / Nadrljanski, Mila ; Grzinic, Jasmina ; Kinga Kowalczy Katarzyna (ur.).
Split, 2019. str. 1-7 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)


Naslov
Benefits of educational data mining

Autori
Bilal Zorić, Alisa

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

Izvornik
Economic and Social Development 44th International Scientific Conference on Economic and Social Development Book of Proceedings / Nadrljanski, Mila ; Grzinic, Jasmina ; Kinga Kowalczy Katarzyna - Split, 2019, 1-7

Skup
Economic and Social Development 44th International Scientific Conference on Economic and Social Development

Mjesto i datum
Split, Hrvatska, 19-20.9.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Data, Education, Educational data mining, Teaching, Students

Sažetak
We live in a world where we collect huge amounts of data, but if this data is not further analyzed, it remains only huge amounts of data. With new methods and techniques, we can use this data, analyze it and get a great advantage. The perfect method for this is data mining. Data mining is the process of extracting hidden and useful information and patterns from large data sets. Its application in various areas such as finance, telecommunications, healthcare, sales marketing, banking, etc. is already well known. In this paper, we want to introduce special use of data mining in education, called educational data mining. Educational Data Mining (EDM) is an interdisciplinary research area created as the application of data mining in the educational field. It uses different methods and techniques from machine learning, statistics, data mining and data analysis, to analyze data collected during teaching and learning. Educational Data Mining is the process of raw data transformation from large educational databases to useful and meaningful information which can be used for a better understanding of students and their learning conditions, improving teaching support as well as for decision making in educational systems. The goal of this paper is to introduce educational data mining and to present its application and benefits.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Veleučilište s pravom javnosti Baltazar Zaprešić

Autor s matičnim brojem:
Alisa Bilal Zorić, (378063)