Pregled bibliografske jedinice broj: 1282981
Decision trees in research on mathematics in elementary school
Decision trees in research on mathematics in elementary school // Book of Abstracts and Program - 9th International Scientific Colloquium Mathematics and Children
Osijek, Hrvatska, 2023. str. 39-40 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1282981 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Decision trees in research on mathematics in
elementary school
Autori
Đurđević Babić, Ivana ; Bošnjaković, Natalija
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts and Program - 9th International Scientific Colloquium Mathematics and Children
/ - , 2023, 39-40
Skup
9th International Scientific Colloquium Mathematics and Children
Mjesto i datum
Osijek, Hrvatska, 19.05.2023. - 20.05.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
klasifikacijska stabla, stablo odlučivanja, osnovnoškolska matematika, regresijska stabla
(classification tree, decision tree, data mining, elementary school mathematics, regression tree)
Sažetak
Mathematics is a compulsory subject and as such runs through the entire vertical of formal education, indicating its importance both in daily life and in its contribution to the accelerated development of modern society. Numeracy has not only played a great role in the past, but is also of great importance for the future, as it is necessary to understand the environment in which we live and is one of the foundations for the development of life skills of each individual. Educational data mining is a research area in which data mining methods are applied to educational data. Although the use of data mining in education has increased in recent years, the potential of these methods is not yet fully realized, especially in studies with primary school pupils. Decision trees, regression trees, and classification trees are methods that are applicable in this research area. The advantages of these methods are a very clear visual overview of the results for the description of the model, making them easy to analyze and interpret, and they can be very easily combined with other research methods. Since there is a lack of research that incorporates the aforementioned methods in mathematics research, especially in primary education, the purpose of this paper is to analyze the use of decision trees, regression trees, and classification trees in primary school mathematics research. A search of five academic databases (WoS, Scopus, Emerald, Eric and SpringerLink) found only 11 papers that meet the criteria. This review covers their analysis and answers research questions about the frequency of use of these methods and the purpose of their use.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet za odgojne i obrazovne znanosti, Osijek