Intelligent correcting method

Abstract

The invention discloses an intelligent correcting method, comprising: dividing the answer area of an electronic version test paper or an electronic version answer sheet by using different identification areas according to the correct answers which are numbers, letters and symbols, and associating the page numbers, the title numbers and the answering area positions; at the same time, presetting thecorrect answers, then obtaining the handwritten answer handwriting information written in the answering area on the paper test paper or the paper answer sheet, finally identifying the answer handwriting information, comparing with the preset correct answers, and determining correct or not. The invention, which may predict in advance question types such as an objective question, a fill-in-the-blank question, and a short answer question with the correct answer of a number, a letter, and a symbol, narrows the recognition range, improves the recognition accuracy, and lightens the correcting burden of teachers by setting different types of answer areas, and promotes the transformation of the classroom teaching form in the case of reducing the negative emotions generated by the teachers duringthe teaching process, by manually correcting and counting a large number of daily assignments, thereby achieving a truly student-oriented precision teaching.

Description

technical field [0001] The invention relates to the field of teaching, in particular to an intelligent correction method. Background technique [0002] At present, the correction and statistics system is based on the handout paper (including homework and exams) compiled and printed by teachers themselves. The common correction and statistics method is: objective questions are multiple-choice questions, and it is stipulated to use a 2B pencil to fill in the options on the answer sheet, and after scanning by the scanner Intelligent statistical results; subjective questions are fill-in-the-blank questions, answer questions, etc., which are scanned by the scanner and uploaded to the computer terminal by dividing the answer area, and finally the teacher manually completes the marking on the computer terminal. First of all, this traditional statistical method of correction is limited to objective questions such as multiple-choice questions, and the intelligent correction of subjec...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the above-mentioned correcting system can only correct multiple-choice questions and cannot well recognize handwritings such as numbers, letters, and symbols written by different people, the purpose of the present invention is to provide a method that can easily and quickly identify different multiple-choice questions (including multiple-choice questions). It is an intelligent correction method for objective questions such as questions), true and false questions, short answer questions, and fill-in-the-blank questions. It divides the answer types into different numbers, letters, and symbols, and then uses different identification boxes to distinguish the answer areas. Make the system intelligently predict the corresponding numbers, letters and symbols, and improve the speed and accuracy of teachers' marking

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