Research And Application Of Students' Academic Level Prediction Based On AdaBoost

The quality of teaching is an important factor to measure the grade of a school.The students 'academic level is the main index to evaluate the teaching effect and the quality of the students' learning.To improve the quality of primary education in our country,we should not only improve teachers 'teaching ability,students' learning ability,but also keep pace with the times and use modern information technology to accelerate the improvement of teaching quality.The use of advanced forecasting methods to predict the quality of education and teaching from multiple dimensions quickly and accurately can guide the teachers to predict the tendency of changing the academic level of students,And to assist teachers to improve or adjust teaching methods in a timely manner,in order to achieve the maximum possible to improve the academic level of student teaching purposes.This is also the current educational administration,education and scientific research units,primary and secondary schools focus on the study of important issues.In the examination before the student's academic level prediction,that is,the academic level of students and teaching effectiveness of the inspection and evaluation of the important basis,can also play on student learning motivation and teacher work attitude encouragement and encouragement.How to construct the prediction index system of students 'academic level is the key factor to determine the accuracy and scientificity of students' academic level.Only based on the student test scores for academic level prediction is not a comprehensive measure of student academic level,to consider the entire teaching process and learning process to a comprehensive and scientific predictive indicators.Indicator system not only represents the factors that lead to the increase or decrease of students' academic level,but also points out the work contents and tasks that schools and teachers should pay attention to in future teaching work.Based on the theoretical analysis and practical research,this paper puts forward the method of forecasting the students' academic level under the multi-index system,and puts forward the methods of forecasting the academic performance of the students.And the AdaBoost algorithm is used to train the student's academic forecasting model.Finally,the model is applied to the student's academic level forecasting system.The system is based on the B/S structure of the application system,which students of the academic level forecasting system learning situation management,daily performance management,individual factor management,teacher ability factor management,academic level forecast five parts of the function of the detailed design,And uses Java,Flex,Python and other technologies to achieve coding,the system functions are functioning properly.