A PERSONALIZED TEACHING SYSTEM FOR COLLEGE ENGLISH BASED ON BIG DATA AND ARTIFICIAL INTELLIGENCE

被引:0
|
作者
Li, Xiaojie [1 ]
机构
[1] Zheng Zhou ShengDa Univ, Dept Basic Courses, Zhengzhou 451191, Henan Province, Peoples R China
来源
关键词
Personalized Teaching System; College English; Big Data; Artificial Intelligence; Machine Learning; MODEL; CONSTRUCTION; COVID-19;
D O I
10.12694/scpe.v25i6.3341
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In the ultra-modern digital age, the schooling sector is experiencing a transformative shift driven by the convergence of massive records and artificial Intelligence (AI). This paper offers a singular initiative-a "personalised teaching machine for university English" that harnesses the electricity of these technologies to revolutionise how English language practice is delivered at the college level. The system is designed to address the various ways of gaining knowledge of the desires of students and adapting dynamically to their talent degrees, styles, and possibilities. The centre of this device lies in its capability to collect, technique, and analyse extensive amounts of records associated with students' language acquisition journey. By leveraging massive statistics techniques, the machine captures and interprets college students' interactions with direct materials, assignments, exams, and peer interactions. Concurrently, the latest AI algorithms, which include herbal Language Processing (NLP) and gadget learning (ML), are employed to create a responsive and smart learning environment. The system tailors mastering pathways for personal college students, ensuring they get hold of content material and sporting events aligned with their cutting-edge scalability stages. Ordinary formative checks are performed to gauge college students' progress, taking into consideration timely interventions and changes in teaching techniques. This progressive customised coaching device for university English now not only enhances language proficiency but additionally promotes self-directed getting-to-know and empowers educators with information-pushed insights. The amalgamation of large facts and AI promises to reshape English language education's panorama, paving the way for an extra personalised, green, and effective pedagogical method in university settings. In conclusion, this study illuminates the transformative ability of harnessing massive records and AI in schooling, with precise relevance to language instruction. The machine is a pioneering model for personalised, adaptive, and information-centric teaching methodologies in higher training.
引用
收藏
页码:5477 / 5485
页数:9
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