USING FUZZY LOGIC TO PREDICT STUDENTS’ MARKS ON FINAL EXAM

USING FUZZY LOGIC TO PREDICT STUDENTS’ MARKS ON FINAL EXAM

Le Thi Kim Anh anhltk@buh.edu.vn Banking University - Ho Chi Minh City 56 Hoang Dieu 2, Thu Duc district, Ho Chi Minh City, Vietnam
Dinh Phuoc Vinh vinhdp2@fe.edu.vn FPT University Ho Chi Minh City Block E2a-7, D1 Street, Saigon Hi-tech Park, District 9, Ho Chi Minh City, Vietnam
Summary: 
The goal of this paper is to present a fuzzy rule-based model to predict students’ marks on the final exam so that teachers can give appropriate pedagogical guidelines to their students in order to improve the quality of teaching and learning. The input variables of the model are students’ marks on mid-term test and the number of absent slots after the first half of a semester. After the fuzzification phase, three-level variables will be put into the fuzzy inference model which has only six rules. Accuracy of the model is calculated by comparing predicted marks and actual marks of all students in the data. Based on data of 86 students studying discrete mathematics at FPT University, the model gave 79.9% accuracy similar to previous research using more variables and more rules.
Keywords: 
Prediction
fuzzy logic
evaluation methods
teaching methods
fuzzy inference
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