Learning behavior evaluation method and system based on big data of college teaching

Abstract

An embodiment of the invention discloses a learning behavior evaluation method based on big data of college teaching. The learning behavior evaluation method comprises the steps of: acquiring a whole preset question number correctness rate and a whole preset question number passing rate to calculate preset question number difficulty degrees; acquiring a number of submitting times of a preset question amount of a user, and calculating a question-answering insistence degree according to the number of submitting times and the preset question number difficulty degrees corresponding to the preset question amount; determining a learning character of the user according to the question-answering insistence degree; acquiring a personal correctness degree, and determining a user learning state according to the personal correctness degree, the question-answering insistence degree and the learning character, wherein the personal correctness degree comprises a personal all question number correctness degree and a personal preset question number correctness degree; and determining a future development tendency of the user according to the learning state, the personal all question number correctness degree, the question-answering insistence degree and the learning character. Through acquiring education data from an online learning platform, the learning behavior evaluation method and the learning behavior evaluation system can reduce the time of data acquisition, can ensure the precision of the acquired data, and effectively improve the efficiency of educational data analysis and the reliability of the analysis result.

Description

technical field [0001] This application relates to the field of learning data analysis, in particular to a learning behavior evaluation method and system based on university teaching big data. Background technique [0002] With the development of Internet technology, a variety of new "Internet + education" education forms have emerged, for example, MOOC (Massive Open Online Course, large open online course) and SPOC (Small Private Online Course, small-scale restricted online course ), which has had a huge impact on traditional teaching. Learners all over the world can learn, discuss and evaluate anytime and anywhere through the Internet without being limited by time and region, and acquire knowledge more easily. The analysis of Internet education data has a significant impact on the promotion of Internet education. [0003] Most of the existing educational data analysis relies on various general survey websites or manual questionnaire surveys, and comprehensively analyzes t...

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, the data obtained through survey websites or manual questionnaire surveys are relatively scattered, and it takes a long time to obtain data, making it difficult to accumulate data and perform big data analysis. At the same time, there is no separate analysis for each stage of education and training , reducing the efficiency of educational data analysis and the reliability of analysis results

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