Examination of the STEM Awareness of teachers with C5.0 Decision Tree Algorithm

Abstract

In the study, it was aimed to determine the variables that predicted the STEM awareness of the teachers and the order of importance of the variables. The participants of the study consisted of 267 teachers, who were working at Diyarbakir in the spring term of the 2020-2021 school year. In the study in which the relational (correlational) research model was used, the data were collected using the "Personal Information Form" and the "STEM Awareness Scale". Two-Stage Clustering Analysis and C5.0 Decision Tree Algorithm were used to analyze the data. In the study, it was revealed that mostly teachers had intermediate level awareness about all three dimensions of STEM awareness scale. However, another result is that the predictor variable with the highest level of influence on the dimension of "effect on the student" is the socioeconomic level of the schools where teachers work, the predictor variable with the highest level of influence on the dimensions of "effect on the lesson" and "effect on the teacher" is the teachers' educational status.