A Study on the Optimisation of Personalised English Learning Paths Based on Big Data Analysis and Its Impact on Teaching Efficiency

[1] Zang, R., & Wang, L. (2021, April). Personalized teaching model of college English based on big data. In Journal of Physics: Conference Series (Vol. 1852, No. 2, p. 022013). IOP Publishing. ZangR. & WangL. (2021, April). Personalized teaching model of college English based on big data. In Journal of Physics: Conference Series (Vol. 1852, No. 2, p. 022013). IOP Publishing. Search in Google Scholar

[2] Chai, Y., & Liu, N. (2022). Application of artificial intelligence technology in college english teaching under the background of big data. In 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City: Volume 1 (pp. 543-555). Springer Singapore. ChaiY. & LiuN. (2022). Application of artificial intelligence technology in college english teaching under the background of big data. In 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City: Volume 1 (pp. 543-555). Springer Singapore. Search in Google Scholar

[3] Duan, J., & Gao, R. (2021). Research on college English teaching based on data mining technology. EURASIP Journal on Wireless Communications and Networking, 2021, 1-12. DuanJ. & GaoR. (2021). Research on college English teaching based on data mining technology. EURASIP Journal on Wireless Communications and Networking, 2021, 1-12. Search in Google Scholar

[4] Wang, X., & Wei, T. (2023). Study on personalised search of English teaching resources database based on semantic association mining. International Journal of Computer Applications in Technology, 73(4), 253-260. WangX. & WeiT. (2023). Study on personalised search of English teaching resources database based on semantic association mining. International Journal of Computer Applications in Technology, 73(4), 253-260. Search in Google Scholar

[5] Bian, L. (2021). Integration of “Offline+ Online” Teaching Method of College English Based on Web Search Technology. Journal of web engineering, 20(4), 1207-1218. BianL. (2021). Integration of “Offline+ Online” Teaching Method of College English Based on Web Search Technology. Journal of web engineering, 20(4), 1207-1218. Search in Google Scholar

[6] Gong, J. (2018). Design and Implementation of College English Teaching Resources Database System. Educational Sciences: Theory & Practice, 18(5). GongJ. (2018). Design and Implementation of College English Teaching Resources Database System. Educational Sciences: Theory & Practice, 18(5). Search in Google Scholar

[7] Wan, N. (2022). Improving College English Reading Teaching Efficiency Based on Student Behavior Data Mining and Mobile Edge Computing. Wireless Communications & Mobile Computing. WanN. (2022). Improving College English Reading Teaching Efficiency Based on Student Behavior Data Mining and Mobile Edge Computing. Wireless Communications & Mobile Computing. Search in Google Scholar

[8] Huang, C., Chen, R., & Lin, L. (2022). Design and implementation of english teaching resources retrieval algorithm model based on deep learning. Adv. Comput., Signals Syst, 6(3). HuangC.ChenR. & LinL. (2022). Design and implementation of english teaching resources retrieval algorithm model based on deep learning. Adv. Comput., Signals Syst, 6(3). Search in Google Scholar

[9] Jiang, X. (2021). Online English teaching course score analysis based on decision tree mining algorithm. complexity, 2021(1), 5577167. JiangX. (2021). Online English teaching course score analysis based on decision tree mining algorithm. complexity, 2021(1), 5577167. Search in Google Scholar

[10] Puarungroj, W., Boonsirisumpun, N., Pongpatrakant, P., & Phromkhot, S. (2018, January). Application of data mining techniques for predicting student success in English exit exam. In proceedings of the 12th international conference on ubiquitous information management and communication (pp. 1-6). PuarungrojW.BoonsirisumpunN.PongpatrakantP. & PhromkhotS. (2018, January). Application of data mining techniques for predicting student success in English exit exam. In proceedings of the 12th international conference on ubiquitous information management and communication (pp. 1-6). Search in Google Scholar

[11] Chu, N., & Ma, W. (2021). Distribution of Large‐Scale English Test Scores Based on Data Mining. Complexity, 2021(1), 5531595. ChuN. & MaW. (2021). Distribution of Large‐Scale English Test Scores Based on Data Mining. Complexity, 2021(1), 5531595. Search in Google Scholar

[12] Li, G., & Gao, W. (2022). Achievement prediction of English majors based on analytic hierarchy process and genetic algorithm. Mobile Information Systems, 2022(1), 6542300. LiG. & GaoW. (2022). Achievement prediction of English majors based on analytic hierarchy process and genetic algorithm. Mobile Information Systems, 2022(1), 6542300. Search in Google Scholar

[13] Chen, Y. (2023). An intelligent college English level 4 pass rate forecasting model using machine learning. Soft Computing, 27(23), 17585-17601. ChenY. (2023). An intelligent college English level 4 pass rate forecasting model using machine learning. Soft Computing, 27(23), 17585-17601. Search in Google Scholar

[14] Yu, B. (2022, July). Design and implementation of English teaching analysis system based on data mining. In EAI International Conference, BigIoT-EDU (pp. 10-18). Cham: Springer Nature Switzerland. YuB. (2022, July). Design and implementation of English teaching analysis system based on data mining. In EAI International Conference, BigIoT-EDU (pp. 10-18). Cham: Springer Nature Switzerland. Search in Google Scholar

[15] Shao, C. (2021, November). The Design of English Personalized Teaching Platform in Campus Network Based on Big Data. In Journal of Physics: Conference Series (Vol. 2066, No. 1, p. 012083). IOP Publishing. ShaoC. (2021, November). The Design of English Personalized Teaching Platform in Campus Network Based on Big Data. In Journal of Physics: Conference Series (Vol. 2066, No. 1, p. 012083). IOP Publishing. Search in Google Scholar

[16] Li, X. (2024). A Personalized Teaching System for College English Based on Big Data and Artificial Intelligence. Scalable Computing: Practice and Experience, 25(6), 5477-5485. LiX. (2024). A Personalized Teaching System for College English Based on Big Data and Artificial Intelligence. Scalable Computing: Practice and Experience, 25(6), 5477-5485. Search in Google Scholar

[17] Bai, X., & Li, J. (2021). Intelligent platform for real-time page view statistics using educational big data digital resource sharing. Journal of Intelligent & Fuzzy Systems, 40(2), 2851-2860. BaiX. & LiJ. (2021). Intelligent platform for real-time page view statistics using educational big data digital resource sharing. Journal of Intelligent & Fuzzy Systems, 40(2), 2851-2860. Search in Google Scholar

[18] Sun, M., & Li, Y. (2020). Eco-environment construction of English teaching using artificial intelligence under big data environment. IEEE Access, 8, 193955-193965. SunM. & LiY. (2020). Eco-environment construction of English teaching using artificial intelligence under big data environment. IEEE Access, 8, 193955-193965. Search in Google Scholar

[19] Zhang, P. (2023). Cloud computing English teaching application platform based on machine learning algorithm. Soft Computing, 1-13. ZhangP. (2023). Cloud computing English teaching application platform based on machine learning algorithm. Soft Computing, 1-13. Search in Google Scholar

[20] Pan, D., & Zhou, H. (2018). English Learning System Design for College Students Personalized English Grammar Check and Diagnosis. International Journal of Emerging Technologies in Learning, 13(4). PanD. & ZhouH. (2018). English Learning System Design for College Students Personalized English Grammar Check and Diagnosis. International Journal of Emerging Technologies in Learning, 13(4). Search in Google Scholar

[21] Wook Yeon Hwang. (2025). New conditional probability-based collaborative filtering for the binary market basket data with the high dimensional cold-start problem. Information Sciences121475-121475. HwangWook Yeon. (2025). New conditional probability-based collaborative filtering for the binary market basket data with the high dimensional cold-start problem. Information Sciences121475-121475. Search in Google Scholar

[22] Xiangting Shi,Yakang Zhang,Abinash Pujahari & Sambit Kumar Mishra. (2025). When latent features meet side information: A preference relation based graph neural network for collaborative filtering. Expert Systems With Applications125423-125423. ShiXiangtingZhangYakangPujahariAbinash & MishraSambit Kumar. (2025). When latent features meet side information: A preference relation based graph neural network for collaborative filtering. Expert Systems With Applications125423-125423. Search in Google Scholar

[23] Dailusi Ma,Haiping Zhu,Siji Liao,Yan Chen,Jun Liu,Feng Tian & Ping Chen. (2024). Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. Knowledge-Based Systems111743-. MaDailusiZhuHaipingLiaoSijiChenYanLiuJunTianFeng & ChenPing. (2024). Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. Knowledge-Based Systems111743-. Search in Google Scholar