Intelligent question and answer-based virtual learning environment construction method

Abstract

The invention relates to an intelligent question and answer-based virtual learning environment construction method, and belongs to the technical field of man-machine interaction. The method comprisesthe following steps of: 1, acquiring and constructing a specific field teaching question and answer data set and preprocessing acquired questions and answers; 2, constructing a BI-LSTM-CRF model to carry out semantic analysis and feature extraction on the questions and answers, so as to realize word segmentation and sequence labeling of sentences; 3, constructing an LSTM network-based answer confidence calculation model, inputting question and answer pair feature vectors, balancing matching degrees of the question and answer pairs through the model, and converting and outputting the answer feature vectors with the highest scores; and 4, building a virtual learning environment by utilizing a Unity 3D-based virtual reality technology, constructing an intelligent question and answer engine, and importing a trained deep learning question and answer model to realize intelligent question and answer-based virtual learning environment construction. According to the method, deep learning is utilized to realize the intelligent question and answer of semantic comprehension layer in specific fields, and is applied to teaching-oriented virtual learning environment to expand thoughts and methodsfor virtual classrooms and man-machine interact research.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and relates to a method for constructing a virtual learning environment based on intelligent question and answer. Background technique [0002] The virtual learning environment is an organic combination of classroom teaching and virtual reality technology. It mainly uses virtual reality technology to construct teaching scenes and teaching content in a realistic and natural three-dimensional virtual environment, and provides students with specific teaching, practice operations and troubleshooting. The construction of a virtual learning environment involves many aspects such as virtual reality, human-computer interaction, multimedia technology, and computer network. How to design a virtual learning environment that can understand user intentions and have real-time intelligent interaction is an important issue that needs to be considered at present. Intelligent question answering ...

AI Technical Summary

Problems solved by technology

[0005] To sum up, although intelligent question answering has achieved a certain degree of research results in the field of natural language processing, how to construct a Chinese standard question answering dataset in a specific field to train models is still a common shortcoming in intelligent question answering research. How to use it reasonably Deep learning analyzes sentences at a deeper level from the semantic level to optimize the semantic feature extraction process, and key issues such as how to combine existing technologies to open up new directions for the development of question answering systems still need to continue to be practiced and explored

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