Wrong question set generation and answer statistics system and method based on review identification

Abstract

The invention relates to a wrong question set generation and answer statistics system and method based on review recognition. The wrong question set generation and answer statistics system comprises afeature test question book, a personal terminal, and a corresponding upper computer function module, wherein the feature test question book is a paper test question book comprising a feature two-dimensional code and a test question segmentation mark point; the personal terminal comprises a PC with a camera, a notebook computer, a tablet personal computer or a mobile phone and the like; and the upper computer function module comprises an image processing unit, a data analysis unit, a wrong question database, an answering condition database and a statistics and display unit. The wrong questionset generation and answer statistics system judges the manual reading condition of a teacher and counts the answering condition of students to form an error question set for the teacher and the students to use by scanning the characteristic test brochure at regular time through a camera on the personal terminal, so as to improve the teaching and learning efficiency. Compared with the prior art, the wrong question set generation and answer statistics system has the advantages of no influence on the reading habit of teachers, high efficiency, convenience in operation, low system configuration requirement and the like.

Description

Technical field [0001] The present invention relates to the technical field of education and training equipment, in particular to a system and method for generating and answering questions based on review recognition of wrong question sets. Background technique [0002] The current design of wrong question sets mainly includes paper and electronic forms. [0003] 1. Paper-based wrong question set [0004] (1) At present, most of the wrong question collections still use the most traditional collection method, that is, students extract or cut and paste the wrong questions of each subject and collect them into a book. Based on this method, the patent CN201620694142 discloses a tool for "copying and pasting" wrong questions to further improve the efficiency of collecting wrong questions. [0005] (2) Patent CN201520047734 discloses a paper notebook for recording mind map notes and wrong question sets, which makes the connection between wrong questions and knowledge points more prominent....

AI Technical Summary

Problems solved by technology

[0006] However, there are common problems in making wrong question sets through the above methods, namely: ①Manual excerpting (or cutting with tools) is time-consuming and laborious; ②Paper documents are not easy to save and share

After the students graduate, the wrong question sets will "disappear". The wrong question books designed by students through the above methods are limited to personal use. Teachers can still only manually collect or roughly estimate the statistical data of students' answering conditions to adjust the teaching content.

[0007] 2. Electronic wrong question set

The disadvantages of this method are: ①Users (students) must be equipped with special scanning and printing equipment, which is expensive and not easy to carry; ②This method scans the original question, and the answer needs to be searched and matched in the cloud. There is no guarantee that the ideal answer can be searched, and the marks of teachers’ corrections cannot be included; ③The collected questions must be sorted out manually and associated with knowledge points, which is not conducive to later learning; ④Teachers still need to manually collect statistics on the answers

In addition, this method does not mention the acquisition method of the wrong question image and the statistical analysis of the later data

[0011] In addition, the automatic marking system currently in use is basically only for test papers, which are scanned by special scanning and marking equipment, which has high hardware requirements. It is usually configured by grade group or school, and is not suitable for daily homework correction.

Due to the uncertainty of subjective question answering methods and writing standards, there are still great difficulties in the automatic recognition technology of subjective questions. At least it is foreseeable that in the next 5-10 years, teachers' manual review will still be the daily practice of most middle school students in schools. The main method of reviewing exercises

In this context, there is no wrong question collection scheme that does not require complicated external equipment, does not affect the teacher's regular review behavior, and can automatically count the review results to obtain statistical data on answering questions, and automatically organize students' wrong questions

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