Investigation of Common Issues in Biology Teachers’ Qualification Certificate Interviews and Assessment Prediction using Ensemble Learning

Evaluating professional competence has been a significant challenge for educators. Professional competence is widely evaluated, and the implications for all those seeking certification are stringent. Through research on some problems with examinees in the biology teacher qualification examination of a middle school in recent years, this paper puts forward some suggestions on the cultivation of biology teacher-students in middle schools. This work proposes an intelligent method for identifying the influential factors in predicting failure on the biology teachers’ qualification certificate exam. This work utilizes ensemble learning method to predict the examinees result. The relationship between the variables and the influential factors are identified by using correlation analysis. The statistical significance of the proposed model is assessed with the help of the proportional chance criterion. The proposed model was statistically significant according to the experimental results.