Method and apparatus for assisting in evaluating answer quality of mathematical question

Abstract

The application provides a method and apparatus for assisting in evaluating answer quality of a mathematical question. The method comprises: on the basis of a to-be-identifier object identified electronically, a first-order predicate logic of the to-be-identifier object is obtained, wherein the to-be-identifier object contains a question stem and a student answer; a knowledge base correlated with the question stem is generated based on the first-order predicate logic of the question stem and known mathematical knowledge; whether the first-order predicate logic of the student answer is in the knowledge base and meets the logic of the knowledge base are determined; if so, the student answer is determined to be correct; and if the first-order predicate logic of the student answer is not in the knowledge base, whether the first-order predicate logic of the student answer can be deduced based on a symbolic operation is determined; and if so, the student answer is determined to be correct. With the method and apparatus, auxiliary automatic judgment of the mathematical question can be realized; the evaluation efficiency can be improved effectively; and the personnel cost is saved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method and device for assisting in judging the quality of answers to mathematical questions. Background technique [0002] Traditionally, the evaluation of the quality of answers to mathematical questions is done manually. The disadvantages of manual judging the quality of answering questions are: the judging operation requires personnel with relevant knowledge to complete, that is, the requirements for judging operators are high; in addition, the efficiency of manual judging operations is low. [0003] In order to solve the above problems, an automatic evaluation technology has appeared at present, but the automatic evaluation technology is generally only for objective questions, for example, multiple-choice questions, and cannot realize automatic evaluation for subjective questions. [0004] Therefore, it is necessary to develop an auxiliary automatic evaluation scheme for...

AI Technical Summary

Problems solved by technology

The disadvantages of manual evaluation of the quality of answers are: the evaluation operation requires personnel with relevant knowledge to complete, that is, the evaluation operator has higher requirements; in addition, the efficiency of manual evaluation operation is low

[0003] In order to solve the above problems, automatic evaluation technology has appeared at present, but this automatic evaluation technology is generally only for objective questions, such as multiple choice questions, and cannot realize automatic evaluation of subjective questions.

[0004] Therefore, it is necessary to develop an auxiliary automatic evaluation scheme for mathematics subjective questions to solve the shortcomings of the existing manual evaluation, such as low efficiency and high personnel requirements.

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