Intelligent marking method and system for text objective questions

Abstract

The invention discloses an intelligent marking method and system for text objective questions. The method includes the steps of obtaining a text objective question answer image; segmenting the answer image and obtaining one or more segmentation results of an answer character string to be recognized; judging whether a segmentation result in which the character number of an answer is the same as the character number of a standard answer exists; if not, determining the answer to be wrong; otherwise, calculating recognition confidence of the segmentation result in which the character number is the same as the character number of the standard answer, and / or calculating recognition confidence of each character in the segmentation result where the character number is the same as the character number of the standard answer; determining whether the answer is correct according to the calculated recognition confidence. By means of the method and system, automatic marking of the text objective questions can be achieved, consumption of manpower resources is reduced, and marking efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to an intelligent marking method and system for literal objective questions. Background technique [0002] With the continuous advancement of computer technology and educational informatization, computer and artificial intelligence technology has been gradually applied to daily educational and teaching activities, and has been applied in practical application scenarios such as teaching assistance and teaching evaluation. Existing basic education in China and the main examination forms of students' learning status are still various types of examinations or tests. In this situation, teachers are under great pressure to correct homework and test papers. In response to this phenomenon, various automatic marking systems have been gradually promoted and adopted in large and medium-sized or high-importance examinations or tests. Such systems can reduce the workload of teache...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing automatic marking system, most of the marking completed by the computer is for marking objective questions (such as multiple-choice questions), and for writing objective test papers such as filling in the blanks, it is still necessary A large number of teachers are concentrated, and before the large-scale examination papers are marked, it is necessary to conduct intensive training and examinations for the marking teachers.

Therefore, the human resource consumption of the traditional automatic marking system is still relatively large, and subjective factors such as different teacher styles, emotions, and psychological states may cause unfairness in the marking results.

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