International Journal of New Developments in Education, 2023, 5(25); doi: 10.25236/IJNDE.2023.052529.
Rui Li1, Shuang Wang2
1College of Foreign Languages, Bohai University, Jinzhou, China
2School of Physical Education, Bohai University, Jinzhou, China
Based on artificial intelligence interaction technology, which comprehensively utilizes natural language processing, artificial intelligence training, and information retrieval technologies, it can accurately analyze users' questions inputted using natural language and return accurate answers to users. Smart education is a new demand and realm of educational informatization, leading educational informatization to a new stage of development. The human-machine intelligent interaction technology has extensive application value in the practice of foreign language intelligent education, using speech recognition technology to analyze speech errors and provide feedback; Simulate natural language dialogues to provide students with language exchange opportunities; Provide a large amount of language materials to learn more grammar and vocabulary; Generate natural and fluent language to help improve writing and translation skills. The research results help to fully explore the role of artificial intelligence in enhancing foreign language intelligence education, truly unleashing the power of technology, and assisting innovation and transformation in foreign language teaching.
Human Machine Intelligent Interaction Technology; Foreign Language; Intelligent Education; Practical Application
Rui Li, Shuang Wang. The Application of Human-Machine Intelligent Interaction Technology in the Practice of Foreign Language Intelligent Education. International Journal of New Developments in Education (2023) Vol. 5, Issue 25: 165-170. https://doi.org/10.25236/IJNDE.2023.052529.
[1] J. Liao, X. Liu, G. P. Liu. Rational-perceptual Interconnectionism: The New Paradigm of Artifical Intelligence in Education[J]. China Educational Technology, 2023, 44(06):18-24.
[2] N. N. Li. On Professional Development of College Foreign Language Teachers in the Era of Artificial lntelligence liNannan[J]. Journal of Chengdu Normal University, 2021, 37(07): 20-26.
[3] Y. N. Yan. Research on English Phonetic Errors among Students and Its Solutions [J]. Contemporary Education Research and Teaching Practice, 2017, 5(04): 170.
[4] Y. J. Kang, Q. R. Wu. Analysis of English Phonetic Errors among College Students and Reform of Teaching Models [J]. Journal of Leshan Normal University, 2020, 35(05): 119-123.
[5] B. Zhang, R. H. Dong. How Natural Language Processing Technology Empowers the AIED: The Perspective of AI Scientist[J]. Journal of East China Normal University(Educational Sciences), 2022, 40(09): 19-31.
[6] Y. F. Yang. Application Research of AI Natural Language Processing in Audio Teaching Resources[J]. Audio Engineering, 2022, 46(05): 29-35.
[7] J. Zhang. The Application of Situational Teaching Method in Higher Vocational English Teaching[J]. The Science Education Article Collects, , 2018, 13(12): 161-162.
[8] Z. Y. Xing. College English vocabulary teaching[J]. Journal of Liaoning Institute of Science and Technology, 2021,23(05):62-63.
[9] Y. H. Xiao. Artificial intelligence application based on natural language generation technology[J]. Public Communication of Science & Technology, 2019, 11(07): 155-156.
[10] Y. L. Zhao. Study on the learning effect of iWrite system assisted writing teaching: Take college English teaching in Changzhi college as an example[J]. Journal of Changzhi University, 2020, 37(01): 69-71.
[11] J. Zhang. Study on the Practice of English Writing Teaching Mode Based on Artificial Intelligence[J]. Journal of Hebei Energy College of Vocation and Technology, 2022, 22(03): 85-88.
[12] Y. Y. Liao, W. G. Dan. Optimization Strategy of Deep Integration of Artificial Intelligence and Chinese Reading Teaching[J]. Teaching of Forestry Region, 2023, 29(03):60-63.