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  4. Vol 5, Issue 1, 2022

Handheld Terminal Course Answering System Based on Artificial Intelligence

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DOI: 10.23977/jaip.2022.050108 | Downloads: 14 | Views: 768

Author(s)

Tianjiao Guo 1

Affiliation(s)

1 Jilin Engineering Normal University, Changchun 130000, Jilin, China

Corresponding Author

Tianjiao Guo

ABSTRACT

Answering questions is an important part of online learning for students. By answering questions, students can better understand what they have learned. The purpose of this paper is to study the design of a question answering system for handheld terminal courses based on artificial intelligence. This paper analyzes the research status and development trend of the technology used in the question answering system at home and abroad, analyzes the application and development trend of the question answering system in the education industry, and introduces the key technologies and corresponding theoretical knowledge used in the question answering system. Chinese word segmentation in natural language processing, etc., introduces common algorithms and word segmentation tools for Chinese word segmentation, word vector, sentence similarity calculation and artificial intelligence. The CBOW model in Word2Vec is introduced to train word vectors; the use of convolutional neural networks to extract feature similarity is introduced to achieve the purpose of obtaining sentence similarity. The actual operation of the system is investigated. Experiments show that the average answering accuracy of the artificial intelligence answering system is 90.3%, and the real-time performance can basically meet the needs of students to answer questions online.

KEYWORDS

Artificial Intelligence, Handheld Terminal, Course Answering Questions, System Design

CITE THIS PAPER

Tianjiao Guo, Handheld Terminal Course Answering System Based on Artificial Intelligence. Journal of Artificial Intelligence Practice (2022) Vol. 5: 56-62. DOI: http://dx.doi.org/10.23977/jaip.2022.050108.

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