Recommendations for Big Data-Driven English Learning Behavior Analysis and Personalized Teaching Strategy

[1]Zhang, C., Gao, M., Song, W., & Liu, C. (2022). Formative evaluation of college students’ online English learning based on learning behavior analysis. International Journal of Emerging Technologies in Learning (iJET), 17(10), 240-255. ZhangC., GaoM., SongW. & LiuC. (2022). Formative evaluation of college students’ online English learning based on learning behavior analysis. International Journal of Emerging Technologies in Learning (iJET), 17(10), 240-255.Search in Google Scholar

[2]Wan, N. (2022). RETRACTED: Improving College English Reading Teaching Efficiency Based on Student Behavior Data Mining and Mobile Edge Computing. Wireless Communications and Mobile Computing, 2022(1), 2959423. WanN. (2022). RETRACTED: Improving College English Reading Teaching Efficiency Based on Student Behavior Data Mining and Mobile Edge Computing. Wireless Communications and Mobile Computing, 2022(1), 2959423.Search in Google Scholar

[3]Zhao, Y., Ren, W., & Li, Z. (2020). Prediction of English Scores of College Students Based on Multi-source Data Fusion and Social Behavior Analysis. Revue d’Intelligence Artificielle, 34(4). ZhaoY., RenW. & LiZ. (2020). Prediction of English Scores of College Students Based on Multi-source Data Fusion and Social Behavior Analysis. Revue d’Intelligence Artificielle, 34(4).Search in Google Scholar

[4]Suhendi, A. (2018). Constructivist learning theory: The contribution to foreign language learning and teaching. KnE Social Sciences, 87-95. SuhendiA. (2018). Constructivist learning theory: The contribution to foreign language learning and teaching. KnE Social Sciences, 87-95.Search in Google Scholar

[5]Abhirami, K., & Devi, M. K. (2022). Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences. Computer Systems Science & Engineering, 40(3). AbhiramiK. & DeviM. K. (2022). Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences. Computer Systems Science & Engineering, 40(3).Search in Google Scholar

[6]Han, J. (2023). Research on personalized recommendation method of educational resources based on learner behavior analysis. Journal of Circuits, Systems and Computers, 32(05), 2350079. HanJ. (2023). Research on personalized recommendation method of educational resources based on learner behavior analysis. Journal of Circuits, Systems and Computers, 32(05), 2350079.Search in Google Scholar

[7]Mansur, A. B. F., Yusof, N., & Basori, A. H. (2019). Personalized learning model based on deep learning algorithm for student behaviour analytic. Procedia Computer Science, 163, 125-133. MansurA. B. F., YusofN. & BasoriA. H. (2019). Personalized learning model based on deep learning algorithm for student behaviour analytic. Procedia Computer Science, 163, 125-133.Search in Google Scholar

[8]Jia, X. (2021). Research on the role of big data technology in the reform of English teaching in universities. Wireless Communications and Mobile Computing, 2021(1), 9510216. JiaX. (2021). Research on the role of big data technology in the reform of English teaching in universities. Wireless Communications and Mobile Computing, 2021(1), 9510216.Search in Google Scholar

[9]Wang, Z., & Wang, S. (2023). The Strategies for Ecological Construction of College English Teaching under the Background of Big Data. Frontiers in Educational Research, 6(1). WangZ. & WangS. (2023). The Strategies for Ecological Construction of College English Teaching under the Background of Big Data. Frontiers in Educational Research, 6(1).Search in Google Scholar

[10]Zhai, Q. (2023). Investigation on the Current Situation and Reform and Development of College English Teaching in the Big Data Era. Frontiers in Educational Research, 6(18). ZhaiQ. (2023). Investigation on the Current Situation and Reform and Development of College English Teaching in the Big Data Era. Frontiers in Educational Research, 6(18).Search in Google Scholar

[11]Zhu, Q. (2023). The Construction of College English Teaching Mode in the Context of Big Data Technology. Contemporary Education and Teaching Research, 4(4), 142-146. ZhuQ. (2023). The Construction of College English Teaching Mode in the Context of Big Data Technology. Contemporary Education and Teaching Research, 4(4), 142-146.Search in Google Scholar

[12]El Aouifi, H., El Hajji, M., Es-Saady, Y., & Douzi, H. (2021). Predicting learner’s performance through video sequences viewing behavior analysis using educational data-mining. Education and Information Technologies, 26(5), 5799-5814. El AouifiH., El HajjiM., Es-SaadyY. & DouziH. (2021). Predicting learner’s performance through video sequences viewing behavior analysis using educational data-mining. Education and Information Technologies, 26(5), 5799-5814.Search in Google Scholar

[13]Jo, I. H., Yu, T., Lee, H., & Kim, Y. (2015). Relations between student online learning behavior and academic achievement in higher education: A learning analytics approach. In Emerging issues in smart learning (pp. 275-287). Springer Berlin Heidelberg. JoI. H., YuT., LeeH. & KimY. (2015). Relations between student online learning behavior and academic achievement in higher education: A learning analytics approach. In Emerging issues in smart learning (pp. 275-287). Springer Berlin Heidelberg.Search in Google Scholar

[14]Aguilar, S. J. (2018). Learning analytics: At the nexus of big data, digital innovation, and social justice in education. TechTrends, 62, 37-45. AguilarS. J. (2018). Learning analytics: At the nexus of big data, digital innovation, and social justice in education. TechTrends, 62, 37-45.Search in Google Scholar

[15]Chaurasia, S. S., Kodwani, D., Lachhwani, H., & Ketkar, M. A. (2018). Big data academic and learning analytics: Connecting the dots for academic excellence in higher education. International Journal of Educational Management, 32(6), 1099-1117. ChaurasiaS. S., KodwaniD., LachhwaniH. & KetkarM. A. (2018). Big data academic and learning analytics: Connecting the dots for academic excellence in higher education. International Journal of Educational Management, 32(6), 1099-1117.Search in Google Scholar

[16]Sun, X. (2021). Research on the construction of English autonomous learning monitoring mode under the background of big data. Journal of Contemporary Educational Research, 5(1). SunX. (2021). Research on the construction of English autonomous learning monitoring mode under the background of big data. Journal of Contemporary Educational Research, 5(1).Search in Google Scholar

[17]Yan, J., Chen, A., & Wang, H. (2024). An analysis of English learning behavior based on big data and its impact on teaching. Journal of Computational Methods in Sciences and Engineering, 24(1), 235-251. YanJ., ChenA. & WangH. (2024). An analysis of English learning behavior based on big data and its impact on teaching. Journal of Computational Methods in Sciences and Engineering, 24(1), 235-251.Search in Google Scholar

[18]Han, B. (2022). Big Data-Based Behavior Analysis of Autonomous English Learning in Distance Education. International Journal of Emerging Technologies in Learning (iJET), 17(13), 252-266. HanB. (2022). Big Data-Based Behavior Analysis of Autonomous English Learning in Distance Education. International Journal of Emerging Technologies in Learning (iJET), 17(13), 252-266.Search in Google Scholar

[19]Li, Y. (2019, January). Research on English online learning behavior analysis and mining method based on structural equation model. In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 289-292). IEEE. LiY. (2019, January). Research on English online learning behavior analysis and mining method based on structural equation model. In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 289-292). IEEE.Search in Google Scholar

[20]Wang, C. (2021). Analysis of students’ behavior in english online education based on data mining. Mobile Information Systems, 2021(1), 1856690. WangC. (2021). Analysis of students’ behavior in english online education based on data mining. Mobile Information Systems, 2021(1), 1856690.Search in Google Scholar

[21]Zheng, L. (2022). Clustering Algorithm in English Language Learning Pattern Matching under Big Data Framework. Computational Intelligence and Neuroscience, 2022(1), 1380046. ZhengL. (2022). Clustering Algorithm in English Language Learning Pattern Matching under Big Data Framework. Computational Intelligence and Neuroscience, 2022(1), 1380046.Search in Google Scholar

[22]Fu, J., & Cao, L. (2022). Research on Discrete Dynamic Modeling of Learner Behavior Analysis in English Teaching. Computational intelligence and neuroscience, 2022(1), 1914996. FuJ. & CaoL. (2022). Research on Discrete Dynamic Modeling of Learner Behavior Analysis in English Teaching. Computational intelligence and neuroscience, 2022(1), 1914996.Search in Google Scholar

[23]Lu, M., Li, D., & Xu, F. (2022). Recognition of students’ abnormal behaviors in English learning and analysis of psychological stress based on deep learning. Frontiers in Psychology, 13, 1025304. LuM., LiD. & XuF. (2022). Recognition of students’ abnormal behaviors in English learning and analysis of psychological stress based on deep learning. Frontiers in Psychology, 13, 1025304.Search in Google Scholar

[24]Xiaolian Duan. (2024). Exploring Innovative Strategies for Teaching English to College Students Based on Data Mining Theory. Applied Mathematics and Nonlinear Sciences(1). DuanXiaolian. (2024). Exploring Innovative Strategies for Teaching English to College Students Based on Data Mining Theory. Applied Mathematics and Nonlinear Sciences(1).Search in Google Scholar

[25]Chang Wenbing, Ji Xinpeng, Liu Yinglai, Xiao Yiyong, Chen Bang, Liu Houxiang & Zhou Shenghan. (2020). Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm. APPLIED SCIENCES-BASEL(18), 6566-. WenbingChang, XinpengJi, YinglaiLiu, YiyongXiao, BangChen, HouxiangLiu & ShenghanZhou. (2020). Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm. APPLIED SCIENCES-BASEL(18), 6566-.Search in Google Scholar

[26]Yina Zhao & Xiang Hua. (2024). Application of collaborative filtering algorithm based on time decay function in music teaching recommendation model. PeerJ. Computer science e2533. ZhaoYina & HuaXiang. (2024). Application of collaborative filtering algorithm based on time decay function in music teaching recommendation model. PeerJ. Computer science e2533.Search in Google Scholar

[27]Long Liu, Jin Xu, Stephen Shaoyi Liao & Huaping Chen. (2014). A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication. Expert Systems With Applications(7), 3409-3417. LiuLong, XuJin, LiaoStephen Shaoyi & ChenHuaping. (2014). A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication. Expert Systems With Applications(7), 3409-3417.Search in Google Scholar