Intelligent question type conversion system and method based on choice question editor

Abstract

The invention discloses an intelligent question type conversion system and method based on a choice question editor; and the system comprises an input module which is used for obtaining a needed question in an automatic mode, a textualization module used for textualizing the questions, an analysis module used for analyzing the textualized questions to obtain question surfaces and correct answers,a wrong answer recommendation module used for generating a plurality of wrong answers for the user to select according to text characteristics of the question surface and the correct answers, an integrated editing module used for transmitting the analyzed content and correspondingly generated wrong answers to a choice question editor, and the choice question editor used for automatically generating choice questions according to the input content and further editing the choice questions by the user. The intelligent question type conversion system and method have the beneficial effects that themanual editing operation of the user in the question type conversion process is reduced and the conversion efficiency is improved by automatically obtaining the questions, carrying out automatic textualizing, carrying out intelligent analyzing, automatically generating the wrong answers and finally converting the selection questions.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent question type conversion system and method based on a multiple-choice question editor. Background technique [0002] Today's students will search for questions on the Internet when they encounter questions they don't know during the learning process, and they will store them for future review after learning. However, the searched questions often have the following problems: 1. Most of them are in the image format, which cannot be edited, so it is impossible to add your own understanding and summary. 2. There are a variety of question types, such as fill-in-the-blank questions, application questions, judgment questions, and short-answer questions. These question types are not as easy to interact with humans as multiple-choice questions. 3. Even if the searched questions are multiple-choice questions, the format is not uniform, and users cannot add their own under...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an intelligent question type conversion system and method based on a multiple-choice question editor, so as to overcome the defect of low conversion efficiency in the prior art

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