FUZZY MODELLING TO PREDICT STUDENTS ATTITUDES TOWARD MATHEMATICS USING MATHEMATICAL ANXIETY AND SELF-EFFICACY DATA

SUSANTO, HARI PURNOMO and SUTARTI, TATIK (2018) FUZZY MODELLING TO PREDICT STUDENTS ATTITUDES TOWARD MATHEMATICS USING MATHEMATICAL ANXIETY AND SELF-EFFICACY DATA. JOURNAL OF PHYSICS : CONFERENCE SERIES. pp. 1-7. ISSN 1742-6596

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Abstract

This paper discusses how to predict students' positive attitudes toward mathematics using mathematical anxiety and self-efficacy data. The dimension is rooted from many researchers concluding that mathematical anxiety, self-efficacy and positive attitudes towards mathematics have relationship each other. We also modelize form to predict students' attitudes using a fuzzy model. 3 12 data for training and 68 data for testing models used is from 380 pairs of anxiety, self-efficacy, and positive attitudes data. Further analysis showed that the first fuzzy model within 13 fuzzy sets produces 61 fuzzy rule base and the fuzzy model with 16 fuzzy sets produces 82 fuzzy rule base. Every model is carried out by using MAPE for training and testing the data. The first fuzzy model, the second fuzzy model and regression model with training data successively produced MAPE of7.35%, 7.06%, and 7.98%. Furthermore, using the testing data of the three models successively produced MAPE values of7.43%, 7.16%, and 7.45%. Based on the MAPE, it can be concluded that the fuzzy model is better than the regression, and the fuzzy models with 16 fuzzy sets and 82 rules are the best models that can be employed to predict students' positive altitudes toward rnathematics.

Item Type:	Article
Subjects:	Q Science > QA Mathematics
Divisions:	Pendidikan Matematika
Depositing User:	Dhita Indah Puspita Rini
Date Deposited:	17 Jul 2023 04:22
Last Modified:	17 Jul 2023 04:23
URI:	http://repository.stkippacitan.ac.id/id/eprint/1171

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