Constructing a Fuzzy Model to Predict Math Anxiety

Abstract

This study aims to construct a fuzzy model for predicting math anxiety by using mathematics self-efficacy and positive attitude towards mathematics as input variables. The model focuses on using fuzzy rules developed by Wang, but is limited to the third step, because the variables are related to human psychology. The data used were taken from senior high schools in Pacitan, East Java. One thousand data were used to build fuzzy rules and 26 data for testing the model. There are three models formed, namely two fuzzy models and one regression model. Model 1 and Model 2 are fuzzy models built using Wang's method until the third step and complete rules, respectively. The MAPE calculation shows that all of the models have good accuracy to predict math anxiety. The MSE shows that Model 1 is the best model among the three models. In addition, based on the standard deviation, Model 1 is the better at controlling uncertainty in the raw data than the regression model.

Accurate Prediction of Anxiety Levels in Asian Countries Using a Fuzzy Expert System

“…Moreover, Susanto et al [17] proposed a fuzzy-logic-based model to predict mathematics anxiety in students. The model was constructed using a dataset of 470 Turkish university students who completed a mathematics-anxiety scale and a demographic questionnaire.…”

Pengaruh Perhatian Orang Tua Dan Kepercayaan Diri Terhadap Hasil Belajar Matematika

“…Tinggi rendahnya hasil belajar dipengaruhi oleh sebagian faktor, baik faktor internal ataupun faktor eksternal (Djamarah, 2008;Setyowati & Widana, 2016). Faktor internal tersebut merupakan faktor psikologi yang dimiliki oleh siswa (Susanto & Purnamasari, 2022). Selanjutnya faktor eksternal yang dimaksud yaitu faktor yang berasal dari luar diri siswa, seperti sarana dan prasarana sekolah, perhatian orang tua, lingkungan, serta guru (Susanto, 2016).…”