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A multi-dimensional method for predicting student performance that introduces teachers' teaching styles

A multi-dimensional, student technology, applied in forecasting, data processing applications, instruments, etc., can solve problems such as the unsatisfactory effect of forecasting classification models, achieve efficient teaching activities, and avoid falling behind in grades.

Inactive Publication Date: 2021-06-18
NORTHEASTERN UNIV LIAONING
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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

Method used

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  • A multi-dimensional method for predicting student performance that introduces teachers' teaching styles
  • A multi-dimensional method for predicting student performance that introduces teachers' teaching styles
  • A multi-dimensional method for predicting student performance that introduces teachers' teaching styles

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Embodiment Construction

[0035] The present invention is described in detail below in conjunction with the accompanying drawings

[0036] Such as figure 1 As shown, the specific student performance prediction process mainly includes the following steps:

[0037] Step 1: Collect relevant data of students. The data to be collected includes student characteristic data, student achievement, teacher style data and student self-efficacy data.

[0038] Step 2: Standardize the collected data and transfer them to the database; convert the student self-efficacy data, and calculate the impact factors ω of teacher style and student characteristics on student performance 1 with ω 2 ;

[0039] Step 3: Use the cleaned data to train the model, split the complete data set into a training set and a test set, then use the random forest to train the model on the training set, input the test set into the training result to debug the model, and finally generate a random Forest Predictive Classification Model.

[0040] S...

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Abstract

The present invention proposes a multi-dimensional method for predicting students' grades by introducing teachers' teaching styles. This method adds the factor of quantified teacher's style to the basic information data of students to establish a model for predicting students' grades. Random forests are used to establish models for students' grades The student performance prediction model based on student characteristics and teacher style characteristics, and finally each student’s self-effect questionnaire is aimed at different students to determine the proportion of the two prediction models in the final prediction, so that the prediction method is more effective. Pertinence and universality. These analysis conclusions can help teachers to realize how the teacher's teaching style affects students' learning and how to adjust their teaching style, choose teaching methods, and formulate teaching plans more reasonably and effectively in the actual teaching work. Reference basis to help teachers carry out teaching activities more efficiently. At the same time, teaching interventions are carried out for students to avoid falling behind.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/20G06K9/62
CPCG06Q10/04G06Q50/20G06F18/214
Inventor 李嘉伟费雪党同真李丞勇赵长宽高克宁
Owner NORTHEASTERN UNIV LIAONING
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