DETERMINATION OF ASSOCIATION RULES FOR MATHEMATICAL SKILLS.

Autor: ERDOĞAN, Hanife Merve, YÜKSEL, Nazan SEZEN
Předmět:
Zdroj: Acta Didactica Napocensia; 2023, Vol. 16 Issue 2, p113-128, 16p
Abstrakt: The aim of this study is to classify the subjects and skills of middle school mathematics course in the context of MATH Taxonomy and to determine their relations. For this purpose, the questions and answers related to the mathematics subtest of a national exam were analyzed over the answers of 20154 students. The study continued with the analysis of the data set containing the answer patterns of the students according to the rules of association of data mining methods by using RapidMiner program and FP-Growth algorithm. The results show that students with any level of skill in MATH taxonomy related to mathematical skills could perform skills in subcategories at a high rate. Students who have attainment in the learning areas provided later in the mathematics program had a high rate of knowledge in the previously provided learning areas. However, this result is not valid for Probability of Simple Events. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index