人工智能赋能大学英语口语教学探究
A Study of the AI-Aided Teaching of College Oral English
DOI: 10.12677/ass.2024.138670, PDF,    科研立项经费支持
作者: 严天钦, 黄金瑞:四川大学外国语学院,四川 成都;郑启奎:四川轻化工大学外语学院,四川 宜宾
关键词: 人工智能大学英语口语教学改革Artificial Intelligence College Oral English Teaching Reforms
摘要: 随着人工智能技术的不断迭代升级,该技术正日益与教育深度结合。人工智能在大学英语教学,特别是大学英语口语教学中的应用前景广阔。传统的大学英语口语教学存在模式僵化、效率低下及学生动机不足等问题。人工智能的引入,通过改进教学模式、更新教学手段,以及提供更为客观、个性化的口语评价,有效改善了这些困境。然而,其应用也面临学生隐私泄露、人工智能算法偏见误导学生及教育资源分配不公等问题。研究认为,尽管人工智能显著提升了大学英语口语教学质量和效果,但也需要关注其带来的挑战和风险,并建议完善相关法律法规和政策,以确保其健康、可持续的发展。
Abstract: With the continuous iteration and upgrading of artificial intelligence technology, it is increasingly integrated with education. Artificial intelligence has a great potential to be applied in college English teaching, especially in oral English teaching. Traditional college oral English teaching is trapped with rigid teaching models, low efficiency, and insufficient student motivation. The introduction of artificial intelligence effectively address these problems by refining teaching models, updating teaching methods, and providing more objective and personalized oral assessment. However, its application also faces some challenges such as student privacy infringement, biased AI algorithms that can mislead students, and unfair distribution of educational resources. It is suggested that although artificial intelligence significantly improves the quality and effectiveness of college oral English teaching, attention should also be paid to the challenges and risks it brings. It is recommended to upgrade relevant laws, regulations, and policies to ensure its healthy and sustainable development.
文章引用:严天钦, 郑启奎, 黄金瑞. 人工智能赋能大学英语口语教学探究[J]. 社会科学前沿, 2024, 13(8): 38-43. https://doi.org/10.12677/ass.2024.138670

参考文献

[1] Wang, R.Z. (2023) Influencing Factors and Countermeasures of Chinese Students’ Oral English Proficiency. Journal of Education, Humanities and Social Sciences, 13, 158-164. [Google Scholar] [CrossRef
[2] Gligorea, I., Cioca, M., Oancea, R., Gorski, A.T., Gorski, H. and Tudorache, P. (2023) Adaptive Learning Using Artificial Intelligence in E-Learning: A Literature Review. Education Sciences, 13, Article 1216. [Google Scholar] [CrossRef
[3] 侯婧. 人工智能时代英语口语教学模式变革[J]. 教学与管理, 2019(33): 86-88.
[4] Lee, G., et al. (2023) Multimodality of AI for Education: Towards Artificial General Intelligence. arXiv:2312.06037v2, 1-25.
https://www.researchgate.net/publication/376448377_Multimodality_of_AI_for_Education_Towards_Artificial_General_Intelligence
[5] 袁芳. 大专英语形成性与终结性评价相结合考核体系的研究[J]. 现代职业教育, 2019(20): 24-25.
[6] 赵德成. 教学中的形成性评价: 是什么及如何推进[J]. 教育科学研究, 2013(3): 47-51.
[7] Guan, X., Feng, X. and Islam, A.A. (2023) The Dilemma and Countermeasures of Educational Data Ethics in the Age of Intelligence. Humanities and Social Sciences Communications, 10, Article No. 138. [Google Scholar] [CrossRef
[8] Alfonso, M. (2023) Artificial Intelligence and Bias: Challenges, Implications, and Remedies. Journal of Social Research, 2, 3808-3817. [Google Scholar] [CrossRef