Fuzzy Logic and Computer Programming Academic Achievement of Students: Attitude as Input Variable

Abstract

Students’ participation and performance in academic activities is fast reducing; however, the purpose of this study is to investigate the effects of students‟ attitudes towards the computer programming classes and computer teacher on the student‟s programming achievements. In this research, fuzzy logic is used.  .  The participants of this study were 44.  An attitude inventory was used to measure the participants‟ attitudes towards the lesson and teacher. Students‟ academic success levels were determined using participants‟ grades at the end of first semester. Scores obtained from the attitude inventory were categorized by the experts. Finally, by using fuzzy logic modeling in MATLAB, the cases in which the minimum and maximum achievement level occurs were determined. The attitudes towards the lesson and the teacher have been assumed as an input and the success as for output factor. Using fuzzy logic between the input and the output factors, a model was generated. The aim of this model is to state the relation the input and the output factors and to have an idea about the success on mathematical education. It was found that just one positive attitude towards the lesson or the teacher can not been seen enough for success when examined the obtained grade. It was concluded that if there is not a high positive attitude to teacher and the computer programming, an advanced level success is not observed or vice versa. It was recommended that should be positive attitude for both the teacher and the lesson for achievement.