Decision tree-based learning condition analysis method

Abstract

The invention discloses a learning condition analysis method based on a decision-making tree. The method comprises the following steps of importing basic information electronic archives of students into a database for learning condition analysis; classifying the imported basic information into objective information and subjective information; pre-scoring each student according to the score data involved in the objective information and the score data involved in the subjective information, wherein the proportion of the objective information is greater than that of the subjective information during pre-scoring; re-checking and correcting the pre-scoring condition through a decision tree model; setting a decision tree model, and setting the collected basic information as root nodes according to categories; and setting the analysis standard of each category as an internal node, realizing decision tree classification analysis, and finally generating the decision tree and the learning condition of each student. The system has the advantages that information collection is more efficient, the real situation can be better reflected, and the system can be better suitable for students at different learning stages.

Description

technical field [0001] The invention relates to the field of educational auxiliary technology, in particular to a decision tree-based learning situation analysis method which is more efficient in information collection, more able to reflect the real situation and better applicable to students in different learning stages. Background technique [0002] Learning situation analysis is the analysis of learner characteristics. The content of analysis includes the characteristics of students in learning, their learning methods, habits, interests, achievements, etc., as well as the favorable factors and existing problems of learning this subject. It mainly includes two parts: the analysis of the student's starting point of learning and the analysis of the student's potential state. Among them, the analysis of the students' starting state mainly refers to the students' original cognitive foundation, existing learning ability, students' learning attitude, learning habits, will qualit...

AI Technical Summary

Problems solved by technology

On the basis of the above-mentioned patents, the inventor of this patent application found through practice that when the learning situation analysis is implemented in practice, the workload of collecting the original data information of each student is very large. At the same time, the investigation of the learning status of the students, If only the students fill in the form themselves, it cannot truly reflect the relevant situation, and there is no distinction between the focus of the analysis of the academic situation of students at different learning stages

In summary, the information disclosed in the prior art does not provide an effective solution for the collection of data information and whether the information is true or not.

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