Wrong answer statistical method and system for online answering

Abstract

The present invention provides a wrong answer statistical method and a system for online answering. The statistical method comprises the following steps: S1, completing question answering, generating answer data, and sending the answer data to perform data processing; S2, according to the answer data, judging whether the answers are right or not by aiming at each question, judging the times n of wrong answers to corresponding questions, and generating a wrong answer times database according to the times n of the wrong answers to the questions; and S3, judging the answer times of an answered question, judging the error rate m of the corresponding question when the answer times is more than three times, and generating an answer error rate database according to the error rate m of the questions. According to the wrong answer statistical method and system for the online answering, corresponding databases can be respectively established by aiming at the times of wrong answers to the questions and the answer error rate. Students can perform querying and practice in the corresponding databases according to the error times and the answer error rate.

Description

technical field [0001] The invention relates to the field of computer information technology, in particular to an online statistical method for answering wrong questions and a corresponding system. Background technique [0002] With the continuous deepening of information technology, the traditional form of homework and practice with paper test papers as the only medium has also ushered in changes. Online homework and online examinations through computers and other clients have been widely used and promoted in today's era due to their unique advantages such as automated, networked, paperless, and real-time marking. [0003] At present, most of the various online homework and online examination systems provide a wrong question management module. Through this module, it is possible to specially record the wrong questions. Students can use the function of this module to search for past wrong questions based on relevant conditions (such as knowledge points, course chapters, etc...

AI Technical Summary

Problems solved by technology

As a result, it is impossible to distinguish which topics need to be strengthened and which topics do not need to be strengthened

In addition, strengthening without key points will cause the answerers to waste a lot of unnecessary energy and time on unnecessary questions, reducing the efficiency of students' learning

[0008] (2) Unable to filter out wrong questions caused by occasional carelessness

[0010] (3) There is no method of measurement, and the outside cannot be correctly perceived

Because there is no focus, we can only devote all our energy to the full coverage, wasting effective social resources

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