Learning guidance question and answer system and method based on a neural network

Abstract

The invention designs a learning guidance question and answer system based on a neural network, and the system comprises a front end and a rear end, the front end comprises a registration module, a login module, a question module, an answer module, an evaluation module, and a cognitive evaluation tree module; The rear end comprises three subsystems, namely a cognitive evaluation subsystem, an answer reuse subsystem and an answer generation subsystem; The method comprises the following steps: extracting information of a question, and retrieving answers of questions existing in a community; Andif the similar questions do not exist, generating answers in the offline document by using the trained model, and guiding the learners to expand and read in the returned answers.

Description

technical field [0001] The invention relates to a neural network-based learning guidance question answering system and method, which belong to the field of neural network and automatic question answering. Background technique [0002] Research in the fields of learning science and computer-assisted learning provides evidence that learners' dialogue is an important influence on how they construct knowledge networks. In offline teaching, classroom question and answer is a very important part of the traditional offline teaching mode. Therefore, the online question and answer technology in the online learning community restores the scene of offline teaching, providing learners and teachers with an online platform for interacting with learning partners. An environment that facilitates the flow of knowledge and the sharing of experiences between teachers and learners and between learners in the community. However, online question and answer lacks real-time performance. For exampl...

AI Technical Summary

Problems solved by technology

However, due to the continuous increase of learners in the online learning community, the questions raised by learners in the community cannot be answered by other users in a timely and accurate manner.

At the same time, because different learners have different descriptions of the questions, the same questions that already have answers cannot be fed back to the learners in time

However, only feeding back the answers to the questions to the learners can only make them passively accept the answers, but cannot make them take the initiative to expand reading, nor can it reflect the cognitive changes of learners participating in the discussion of the questions

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