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人工智能教学环境下的大学英语教学路径的构建与计算。

Construction and Computation of the College English Teaching Path in the Artificial Intelligence Teaching Environment.

机构信息

College of Foreign Languages, Shaanxi Xueqian Normal University, Xian, Shaanxi 710100, China.

出版信息

Comput Intell Neurosci. 2022 Sep 30;2022:3415999. doi: 10.1155/2022/3415999. eCollection 2022.

DOI:10.1155/2022/3415999
PMID:36210973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9546643/
Abstract

Today, English is the world's main international language and is widely spoken. In this context, the learning of English has long been valued by all countries. In addition, English plays an essential role in the process of economic globalization, specifically in the majority of countries where English is not the native language. At the same time, as China's integration into the world grows, the importance of English has become more pronounced, and the demand for English language skills has increased. At present, China's ever-expanding opening to the outside world, its developing science and technology, and its rising international status have created an urgent need for English-speaking professionals. This will lay the foundation for China's economic and social development and enable China to play a greater and more active role in international affairs, which has great practical and far-reaching historical significance. At present, the traditional English teaching mode has been criticized due to a great number of issues. At the same time, the new English language standards and the change of evaluation methods have created new demands on English teaching methods. As a result, with the development of artificial intelligence technology, the application of artificial intelligence technology in the field of education has brought new directions for the optimization of English classroom. In addition, diversified network technologies also provide new support for the realization of intelligent and collaborative English classroom teaching. To be specific, the maturity of English intelligent speech synthesis and intelligent speech evaluation technologies has enabled intelligent technologies to reach or even surpass the level of human teachers in certain areas. However, due to the limitations of the market environment and evaluation methods, the products that can focus on English classroom teaching are not highly intelligent and less collaborative. What is more, the process of English classroom intelligence has stagnated compared to other subjects. Obviously, from the perspective of integrating artificial intelligence technology with English classroom, it is quite necessary and feasible to design and develop an intelligent teaching assistant that can be applied to college English teaching. As information technology continues to evolve, both national and teacher levels are beginning to focus on how it can be better used in the teaching of subjects. Therefore, the use of online information technology in teaching and learning presents a great opportunity for research and practice in English language learning at the university level.

摘要

如今,英语是世界主要的国际语言,被广泛使用。在这种背景下,各国早就重视英语的学习。此外,英语在经济全球化进程中扮演着重要角色,尤其是在那些非英语为母语的国家。与此同时,随着中国融入世界的步伐不断加快,英语的重要性也日益凸显,对英语语言技能的需求也在不断增加。目前,中国不断扩大对外开放,科技不断发展,国际地位不断提升,这对英语专业人才的需求越来越大。这将为中国的经济和社会发展奠定基础,使中国在国际事务中能够发挥更大、更积极的作用,具有重大的现实意义和深远的历史意义。目前,传统的英语教学模式因其存在的诸多问题而受到批评。同时,新的英语语言标准和评价方法的改变对英语教学方法提出了新的要求。因此,随着人工智能技术的发展,人工智能技术在教育领域的应用为优化英语课堂带来了新的方向。此外,多样化的网络技术也为智能和协作英语课堂教学的实现提供了新的支持。具体来说,英语智能语音合成和智能语音评价技术的成熟使得智能技术在某些领域已经达到甚至超越了人类教师的水平。然而,由于市场环境和评价方法的限制,能够专注于英语课堂教学的产品并不高度智能化,协作性也较差。更重要的是,英语课堂智能化的进程相较于其他学科已经停滞不前。显然,从将人工智能技术与英语课堂融合的角度来看,设计和开发一个可应用于大学英语教学的智能教学助手是非常必要和可行的。随着信息技术的不断发展,无论是国家层面还是教师层面,都开始关注如何更好地将其应用于学科教学中。因此,在大学层面,将在线信息技术应用于教学和学习为英语语言学习的研究和实践提供了一个很好的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/bf6c8bfb7f9d/CIN2022-3415999.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/b095557651c8/CIN2022-3415999.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/bf6c8bfb7f9d/CIN2022-3415999.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/b095557651c8/CIN2022-3415999.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/0fd0563a7a0f/CIN2022-3415999.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/e72565e8d4fc/CIN2022-3415999.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/00d2ef4ca723/CIN2022-3415999.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/a3addbb6a5db/CIN2022-3415999.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/701ca10d33fc/CIN2022-3415999.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0819/9546643/bf6c8bfb7f9d/CIN2022-3415999.007.jpg

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