Method for predicting student scores in multiple dimensions by introducing teacher teaching style

Abstract

The invention provides a method for multi-dimensionally predicting student scores by introducing a teacher teaching style. According to the method, a factor, namely a quantized teacher style, is addedinto basic information data of students to establish a model for predicting student scores; student score prediction models aiming at student characteristics and teacher style characteristics are respectively established by using a random forest, and finally, the proportion occupied by the two prediction models in final prediction is determined by each student in a self-effective questionnaire survey aiming at different students, so that the prediction method has higher pertinence and universality. The analysis conclusions can help teachers to know how to influence the teaching styles of theteachers on the learning of students and how to influence the modes. The teaching style of the teacher can be adjusted more reasonably and effectively in actual teaching work, a teaching method is selected, a reference basis is provided for making a teaching scheme, and the teacher is helped to carry out teaching activities more efficiently. Meanwhile, teaching intervention is carried out on students, so that the students are prevented from performance lagging.

Description

technical field [0001] The invention belongs to the field of data mining, relates to the research content of pedagogy, psychology and other related aspects, and specifically relates to a multi-dimensional method for predicting students' grades by introducing teachers' teaching styles. Background technique [0002] With the development of the information age and the explosive growth of data, changes affecting traditional teaching have arrived. The research conducted in the field of education through the application of data mining technology is called Educational Data Mining (EDM), which includes the evaluation of students' teaching, the improvement of teachers' teaching methods, the teaching management of school administrators, and the provision of supporting data for educational theory researchers. . Therefore, the changes caused by data mining technology in the field of education are worthy of our attention. There is a branch of educational data mining technology, and the...

AI Technical Summary

Problems solved by technology

At the same time, due to the differences in the quality of different students, the effect of the prediction classification model is not ideal. The patent of the present invention is aimed at this, and proposes a set of multi-dimensions, through the student self-efficacy answer sheet to determine the teacher's style characteristics and students' basic information characteristics in the final Predict the proportion, and then more effectively predict the system of student performance, and strive to promote research and development in the field of education

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