Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

Research on the Establishment and Application of Russian Examination System Based on AI Technology

Authors
Zhu Feng1, *, Axue Li1
1Changchun Humanities and Sciences College, Changchun, 130000, China
*Corresponding author. Email: liax0731@163.com
Corresponding Author
Zhu Feng
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_63How to use a DOI?
Keywords
AI technology; Russian test; Establish; Dialogue teaching; man-machine interaction
Abstract

With the development and application of artificial intelligence technology, the establishment and application of a Russian exam system based on AI technology has become a research hotspot. Such an examination system uses Natural language processing, speech recognition, machine learning and other technologies to provide a more efficient, accurate and personalized Russian examination experience. Firstly, we have designed a relatively comprehensive network intelligence based intelligent dialogue learning teaching mode based on students' intelligent dialogue learning needs through design based research methods. Then, based on the actual needs of intelligent dialogue teaching and the characteristics of the platform, we constructed an intelligent dialogue teaching platform for Russian exams and applied it in practice. This platform gradually guides learners to think and engage in dialogue through a series of comparative analysis, promoting the teaching process. The research results show that compared to other classmates, through dialogue teaching, learners' teaching effectiveness is slightly improved, and the degree of achievement of learning objectives is also slightly advantageous. This experimental result fully verifies the feasibility and effectiveness of the "human-machine dialogue teaching platform for the Russian proficiency test", and validates our research hypothesis. In summary, the Russian exam system based on AI technology has potential advantages in providing personalized learning support and improving exam evaluation. By building an intelligent dialogue teaching platform, learners can gradually improve their thinking and dialogue abilities, thereby achieving better results in Russian learning and exams. This study provides strong support for the development and popularization of Russian education.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_63
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_63How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhu Feng
AU  - Axue Li
PY  - 2023
DA  - 2023/09/28
TI  - Research on the Establishment and Application of Russian Examination System Based on AI Technology
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 550
EP  - 557
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_63
DO  - 10.2991/978-94-6463-264-4_63
ID  - Feng2023
ER  -