Author(s)

Xiaochao Yao ¹

Affiliation(s)

¹ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Xiaochao Yao

ABSTRACT

This paper explores the theoretical foundation for optimizing college English classroom teaching methods through the application of learning data, with a focus on Hainan University of Science and Technology. The study emphasizes the significance of enhancing the quality of higher education, supporting talent cultivation for the Hainan Free Trade Port, and advancing individualized and data-driven teaching practices. By analyzing domestic and international research on learning data analytics, real-time feedback systems, and personalized learning pathways, the paper identifies key opportunities for leveraging data to improve teaching effectiveness and foster students' self-learning abilities and motivation. It also highlights the potential for digital transformation in education and provides replicable case studies to inform broader teaching reforms. Supported by a key project grant, this research contributes to the growing body of knowledge on data-driven instructional optimization in higher education.

KEYWORDS

Data-Driven Teaching, Personalized Learning, Learning Analytics, English Classroom Optimization

CITE THIS PAPER

Xiaochao Yao, Theoretical Foundation on the Optimization of College English Classroom Teaching Methods Based on Learning Data. Curriculum and Teaching Methodology (2025) Vol. 8: 7-11. DOI: http://dx.doi.org/10.23977/curtm.2025.080102.

REFERENCES

[1] Jisc. (2019). Learning analytics in higher education: A review of UK and international practice. Journal of Learning Analytics, 6(1), 45-62.
[2] Arnold, K. E., & Pistilli, M. D. (2020). Course signals at Purdue: Using learning analytics to increase student success. Journal of Learning Analytics, 7(2), 120-130.
[3] Wang, Z., & Li, M. (2022). Data-driven teaching feedback systems in university English classrooms: A case study in China. Computers & Education, 183, 104545.
[4] Chen, L., & Zhao, Y. (2023). Real-time learning analytics for personalized English instruction in higher education. Journal of Learning Analytics, 10(1), 65-82.
[5] Wang, Z., Li, M., & Chen, J. (2020). A study on the application effects of learning data in classrooms: Analysis of classroom behavior data under the background of smart campus. Modern Educational Technology, 30(6), 34-40.
[6] Sun, Min. (2023). Exploring the application of adaptive teaching systems based on data feedback in university classrooms. Educational Research and Experiment, 39(4), 45-52.
[7] Liu, Xiaohong. (2021). Analysis of the application effects of real-time feedback systems in college English classrooms. Computer-Assisted Foreign Language Education, 42(2), 55-62.
[8] Zhang, Hongwei. (2022). Application and optimization strategies of data feedback systems in personalized teaching. China Educational Informatization, 28(7), 72-78.
[9] Wang, L., Li, Y., & Chen, Z. (2021). Application of data-driven stratified teaching models in college English teaching. Educational Development Research, 41(8), 89-95.
[10] Xu, W. (2023). Personalized learning pathways in college English courses: Practical exploration based on data analysis. Higher Education Research, 31(5), 33-39.

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education