Real-time learning condition analysis system matching classroom knowledge content and real-time learning condition analysis method thereof

Abstract

The invention relates to the technical field of information and education, and relates to a real-time learning condition analysis system matching the classroom knowledge content and a real-time learning condition analysis method thereof. The real-time learning condition analysis system comprises a knowledge map generation module, a real-time learning condition data generation module and an analysis and comparison module. The knowledge map generation module generates an actual knowledge map according to the actual classroom teaching content. The real-time learning condition data generation module is used for performing algorithm analysis on the learning concentration situation of the onsite learning personnel so as to generate a concentration distribution diagram. The analysis and comparison module is connected with the knowledge map generation module and the real-time learning condition data generation module and establishes the correlation analysis view of the actual knowledge map andthe concentration distribution diagram with the time acting as the index so as to form the classroom knowledge content concentration distribution result. According to the real-time learning conditionanalysis system matching the classroom knowledge content and the real-time learning condition analysis method thereof, the knowledge map of the teaching content knowledge points is formed, and the knowledge points and concentration analysis are correlated with the time value acting as the index so as to form the classroom knowledge content concentration distribution result.

Description

technical field [0001] The present invention relates to the fields of information technology and education technology, and more specifically, to a real-time learning situation analysis system and method for matching classroom knowledge content. Background technique [0002] The existing technical solutions have the following three methods for the analysis of classroom learning conditions: one is to record directly through the observation of experts without using technical means, which focuses on the subjective impression of the attendees, which is a fully manual method; the other is to use Use auxiliary equipment to collect data. This type of auxiliary equipment requires students to manually touch the terminal to record, which is semi-automatic; the third is to use relatively new technology to analyze and judge through face recognition; among them, the first and second Both rely on a large amount of human participation and lack practical application effects; while the third ...

AI Technical Summary

Problems solved by technology

[0002] The existing technical solutions have the following three methods for the analysis of classroom learning conditions: one is to record directly through expert audition without using technical means, which focuses on the subjective impression of the attendees, which is a fully manual method; Use auxiliary equipment to collect data. This type of auxiliary equipment requires students to manually touch the terminal to record, which is semi-automatic; the third is to use relatively new technology to analyze and judge through face recognition; among them, the first and second Both rely on a large amount of human participation and lack practical application effects; and the third solution currently on the market lacks scientificity in the calculation and analysis after data collection; in practical applications, it lacks correlation analysis of data applications and has no The knowledge content taught in the classroom is related, so it lacks pertinence and effectiveness

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