Intelligence-assisted college English teaching: The application of artificial intelligence technology in personalized learning path design

  • Rong Jiang Department of Foreign Languages, Communication University of China, Nanjing 211172, China
  • Junming Hou Industrial Center, Nanjing Institute of Technology, Nanjing 211167, China
Keywords: intelligent assistance; college English teaching; artificial intelligence; personalized learning; path design
Article ID: 558

Abstract

English learning is an integrated learning process in which listening, speaking, reading, writing and other parts are interrelated. Because of this feature of English learning, higher requirements are put forward for the design of English learning assistance systems. On the other hand, the wide application of advanced science and technology such as automation and cloud computing in all walks of life has promoted the development of society into the era of artificial intelligence. Under such a large development background, how to build a multifunctional integrated English learning system to realize the personalized learning of learners with different levels and different needs has become a focus of current English teaching research. With the increasing abundance of English learning materials, it has become very important to help users find suitable English learning resources from the massive materials, which directly affects the cost of learning time and interest of users. Based on this, this paper introduces a multi-similarity ranking model to achieve personalized design, and then uses artificial intelligence technology to design and implement a personalized intelligent assistant system for college English teaching.

References

1. Bin Y, Mandal D. English teaching practice based on artificial intelligence technology. Journal of Intelligent & Fuzzy Systems, 2019, 37(3): 3381-3391.

2. Chen Z, Lian Y, Lin Z. Research on business English autonomous learning based on artificial intelligence and improved BP network model. Journal of Intelligent & Fuzzy Systems, 2021, 40(4): 7159-7170.

3. Delgado H O K, de Azevedo Fay A, Sebastiany M J, et al. Artificial intelligence adaptive learning tools: The teaching of English in focus. BELT-Brazilian English Language Teaching Journal, 2020, 11(2): e38749-e38749.

4. Deng Yuhua,Li Yican,Peng Bun,et al. Exploring the construction of personalized teaching mode of college English based on ChatGPT . Overseas English, 2024, (05): 5-8.

5. Dong Y. Application of artificial intelligence software based on semantic web technology in english learning and teaching. Journal of Internet Technology, 2022, 23(1): 143-152.

6. Du H. An English network teaching method supported by artificial intelligence technology and WBIETS system. Scientific Programming, 2021, 2021: 1-9.

7. Fitria T N. The use technology based on artificial intelligence in English teaching and learning. ELT Echo: The Journal of English Language Teaching in Foreign Language Context, 2021, 6(2): 213-223.

8. Han B. Application of Artificial Intelligence in Autonomous English Learning Among College Students. International Journal of Emerging Technologies in Learning, 2019, 14(6).

9. Hastungkara D P, Triastuti E. Application of e-learning and artificial intelligence in education systems in Indonesia. Anglo-Saxon: Journal of the English Language Education Study Program, 2019, 10(2): 117-133.

10. Hou Z. Research on adopting artificial intelligence technology to improve effectiveness of vocational college English learning//Journal of Physics: Conference Series. IOP Publishing, 2021, 1744(4): 042122.

11. Huang Huasheng. Research on Personalized Learning resource recommendation based on Knowledge graph. Software Engineering, 2018, 21(10).

12. Li P, Ning Y, Fang H. Artificial intelligence translation under the influence of multimedia teaching to study English learning mode. International Journal of Electrical Engineering & Education, 2023, 60(2_suppl): 325-338.

13. Liu J, Dolan P, R E,et al. Personalized news recommendation based on click behavior. Proceedings of the 15th international conference on Intelligent user interfaces. Hong Kong. 2010: 31-40.

14. PAN Shaowei,WANG Shucai,XUE Zhangtao,et al. Design and realization of intelligent English learning platform for graduate students on Android . Fujian Computer, 2023, 39 (03): 90-93.

15. Speretta M, Gauch S. Personalized search based on user search histories.Proceedings of Web Intelligence, 2005 Proceedings The 2005 IEEE/WIC/ACM International Conference on, 2005: 622-628.

16. Wu Xiyu, Chen Qimai, Liu Hai, He Chaobo. Collaborative filtering recommendation algorithm based on knowledge graph representation learning. Computer Engineering, 2018, 44(02).

17. Yang Jin-ji, Hu Bo, Wang Xin-Ming, Wu Yu-Shen, Zhao Gan-Sen. A sort learning personalized recommendation algorithm for knowledge graph. Small micro Computer Systems, 2018, 39(11).

18. Yao W, Li N. Construction of artificial intelligence-assisted English learning resource query system. Frontiers in Psychology, 2022, 13: 970497.

19. Zhang X, Chen L. College English smart classroom teaching model based on artificial intelligence technology in mobile information systems. Mobile Information Systems, 2021, 2021: 1-12.

20. Zhao T, Cai Y. Improvement of English key competences based on machine learning and artificial intelligence technology. Journal of Intelligent & Fuzzy Systems, 2021, 40(2): 2069-2081.

Published
2024-11-19
How to Cite
Jiang, R., & Hou, J. (2024). Intelligence-assisted college English teaching: The application of artificial intelligence technology in personalized learning path design. Molecular & Cellular Biomechanics, 21(3), 558. https://doi.org/10.62617/mcb558
Section
Article