基于人工智能的专业技能型人才培养英语教学研究

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-12 DOI:10.3233/JIFS-219162

Yan-jun Zhu

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引用次数: 0

摘要

本文运用人工能量分析文献阅读和案例在职业技能培训英语教学中分析了人工智能技术和高校的现状，提出了人工智能技术在职业技能培训中的应用。为了提高英语教学的教学质量，我们从理论的角度对人工智能下的英语教学进行了研究。通过文献研究，找到建构主义理论与人工智能辅助教学的契合点，并通过第二语言习得理论和交际教学法对人工智能辅助下的语言习得过程进行总结。基于建构主义教学理论，借助4c /ID模型思想，结合人工智能的特点和功能，将人工智能与传统教学活动有机地结合起来，设计了人工智能辅助英语教学的教学设计模型。设计了一个基于人工智能的英语教学资源信息综合管理系统。系统的硬件设计主要依靠英语教学资源存储模块的设计和系统服务器的设计来实现。在系统运行环境设计和数据库设计的基础上，实现了系统的软件设计。结果表明，所提出的英语教学资源信息集成管理系统比传统的英语教学资源信息集成管理系统更适合于英语教学资源信息共享。人工智能与英语教学的结合必将为高智能教学的发展带来突破。人工智能在教育领域的潜力是无限的。随着计算机技术对教育改革的影响，我们有理由相信人工智能辅助教学将成为现代教育技术的一个重要方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on English teaching of professional skilled talents training based on artificial intelligence

This article uses artificial energy to analyze literature reading and cases in English teaching of vocational skills training analyzes the current situation of artificial intelligence technology and colleges and universities and proposes the application of artificial intelligence technology to vocational skills training. To improve the quality of teaching in English teaching, we researched on English teaching in artificial intelligence from a theoretical perspective. Through literature research, we find the matching point between constructivism theory and artificial intelligence-assisted teaching, and through the second language acquisition theory and communicative teaching method to summarize the language acquisition process assisted by artificial intelligence. Based on the constructivist teaching theory, with the help of the 4 C/ID model idea, combined with the characteristics and functions of artificial intelligence, artificial intelligence, and traditional teaching activities are organically combined to design a teaching design model of artificial intelligence assisted English teaching. It designed an integrated management system for English teaching resource information based on artificial intelligence. The hardware design of the system is realized relying on the design of the English teaching resource storage module and system server design. Based on the design of the system operating environment and database design, the software design of the system is realized. The results show that the proposed integrating management system of English teaching resource information is more suitable for sharing English teaching resource information than the conventional integrated management system of English teaching resource information. The combination of artificial intelligence and English teaching will surely bring breakthroughs in the development of high-intelligence teaching. The potential of artificial intelligence in the field of education is unlimited. As with the impact of computer technology on education reform, we have reason to believe that AI-assisted instruction will become an important direction of modern educational technology.

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.