Real-time learning data analysis system based on SaaS

Abstract

The invention relates to a real-time learning data analysis system based on SaaS. The system comprises a ranking calculation module, an assignment analysis module, a knowledge point analysis module, aquestion grade analysis module and an evaluation module; the ranking calculation module is used for ranking assignment scores of all students of a class and matching the ranking situations of all thestudents with information of the students to obtain the assignment completion situations of the students; the assignment analysis module is used for analyzing assignments of all the students; the knowledge point analysis module is used for classifying knowledge points and obtaining the distribution of all the knowledge points in all questions of the assignments; the question grade analysis moduleis used for grading the questions and classifying all the questions in the assignments to the corresponding grades; the evaluation module is used for evaluating the learning situations of the students of the class from three aspects including cognitive levels, knowledge types and difficulty levels according to the assignment completion situations of the students. By means of the system, a teaching strategy can be adjusted in real time according to the current actual situations of the students.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a SaaS-based real-time learning data analysis system. Background technique [0002] The basis of data analysis is the "uncertainty" of data and the randomness of data. The purpose of data analysis is to concentrate, extract and refine the information hidden in a large amount of seemingly chaotic data information, so as to find out the internal laws of the research object. In practical terms, data analysis can help people make judgments so that appropriate actions can be taken. Data analysis is the process in which an organization collects data purposefully, analyzes it, and turns it into information. But when data analysis is used in education, it also exposes its shortcomings. For students, it is impossible to obtain homework data by doing a large number of questions. Moreover, the results of each homework data will be more or less subject to interference from subjectiv...

AI Technical Summary

Problems solved by technology

But when data analysis is used in education, it also exposes its shortcomings

For students, it is impossible to obtain homework data by doing a large number of questions. Moreover, the results of each homework data will be more or less subject to interference from subjective factors, and the obtained data cannot be said to be correct. Therefore, the existing data The application of analytical methods in education cannot adjust teaching strategies in real time

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