Data-Driven Practical Approaches to Integrating Teaching, Learning, and Assessment in English

Authors

  • Zekai Guo Guangdong University of Education
  • Yan Kou Guangdong University of Education
  • Yuhan Xu Guangdong University of Education
  • Hailin Zhang Guangdong University of Education
  • Meng Cui Guangdong University of Education

DOI:

https://doi.org/10.62177/jetp.v2i4.773

Keywords:

Integration of Teaching, Learning, and Assessment, Data-Driven, Junior High School English, Core Competencies

Abstract

With the in-depth development of big data technology in the field of education, data-driven integration of teaching, learning, and assessment has become a mainstream pedagogical paradigm. The Compulsory Education English Curriculum Standards (2022 Edition) explicitly proposes the integrated design concept of "teaching–learning–assessment," emphasizing that assessment should permeate the entire teaching process to promote the cultivation of core competencies. However, current junior high school English teaching still faces issues such as disconnection between teaching objectives and assessment, reliance on experiential judgment in learning analytics, lagging assessment feedback, and imbalance between technological application and educational value. Based on this, this study utilizes the Ekwing intelligent platform as a technical support to construct a data-driven integrated "teaching–learning–assessment" learning model. Through three major strategies—anchoring teaching objectives guided by curriculum standards, reconstructing the teaching ecology empowered by the intelligent platform, and establishing a cyclical data-driven teaching–learning–assessment system—the study breaks down the barriers between theory and practice. It constructs a practical pathway for data-driven integrated teaching–learning–assessment to empower the cultivation of core competencies and the enhancement of English learning ability, aiming to provide practical references for promoting the digital transformation of English teaching and the efficient transformation of traditional classrooms.

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References

Wang, Q., & Li, L. (2019). Promoting the integration of teaching, learning, and assessment in English classrooms under the background of core competencies: Significance, theory, and methods. Curriculum, Teaching Material and Method, 39(05), 114–120. DOI:10.19877/j.cnki.kcjcjf.2019.05.016.

Xie, Y., Lu, Y., Peng, Z., et al. (2024). Exploring the integration of "teaching-learning-assessment" in university courses empowered by knowledge graphs. China Educational Technology, (12), 1–7.

Wei, Y., & Zhang, L. (2022). From "experience-based" to "data-driven": New teaching patterns in the big data era. Contemporary Educational Science, (02), 50–56.

Qian, M., & Jiang, Y. (2023). Data-driven monitoring of undergraduate teaching quality: Basic logic and breakthrough of dilemmas. Theory and Practice of Education, 43(15), 51–55.

Zhang, W. (2025). Exploring the path to constructing an integrated teaching-learning-assessment classroom for high school English under the new curriculum standards. Campus English, (01), 9–11.

[12] Liu, B., Hu, J., Liu, M., et al. (2025). AI-empowered integration of English listening and speaking teaching-learning-assessment: Model, strategies, and effect verification. China Examinations, (01), 42–54. DOI:10.19360/j.cnki.11-3303/g4.2025.01.005.

Peng, H. (2024). Design and implementation of junior high school English reading teaching based on the integration of 'teaching-learning-assessment' in a digital context. English Teachers, 24(21), 119–121+157.

Zhang, D., Wang, J., Yuan, J., et al. (2021). Technology-empowered transformation and practice of teaching models. China Educational Technology, (04), 125–138.

Xue, X., Zhao, X., & Shen, S. (2022). Breaking through the crisis: Digital resilience of learning subjects and its construction. e-Education Research, 43(02), 49–55. DOI:10.13811/j.cnki.eer.2022.02.007.

Sun, L., & Zhou, L. (2024). The practical logic of integrating generative artificial intelligence into the national smart education platform for primary and secondary schools. China Educational Technology, (08), 71–79.

Fu, G., & Chen, C. (2025). Framework construction and enhancement strategies for teacher educators' digital literacy. e-Education Research, 46(07), 116–121+128. DOI:10.13811/j.cnki.eer.2025.07.016.

Zhang, B., & Yi, M. (2023). Research on digital technology empowering curriculum reform and teaching model innovation: Taking the "English Writing" course as an example. China Educational Technology, (12), 106–112+120.

Zeng, W., & Zhou, Z. (2022). Towards "intelligent learning-oriented assessment": The historical evolution and future prospects of technology-empowered learning assessment. Curriculum, Teaching Material and Method, 42(06), 72–80. DOI:10.19877/j.cnki.kcjcjf.2022.06.017.

Gao, T. (2025). Research on the sinking of application services of the national smart education platform for primary and secondary schools. China Educational Technology, (07), 63–70.

Wang, H., Zhang, Y., Lun, H., et al., (2025). Digital modeling and application of online learning metacognitive ability based on multimodal data. e-Education Research, (08), 81–89. [2025-08-06]. https://doi.org/10.13811/j.cnki.eer.2025.08.010.

Li, Y., Chen, M., Wang, H., et al. (2020). Research on the evaluation of primary and secondary school teachers' information literacy integrating process data from network learning spaces. China Educational Technology, (09), 119–128.

Zhao, D. (2025). Writing teaching objectives from the perspective of "teaching-learning-assessment" consistency. Curriculum, Teaching Material and Method, 45(03), 13–20. DOI:10.19877/j.cnki.kcjcjf.2025.03.004.

Wang, M., & Chen, X. (2025). A systematic model and key processes for data-evidence-based learning design. e-Education Research, 46(07), 100–107. DOI:10.13811/j.cnki.eer.2025.07.014.

Wang, Z., & Dan, J. (2021). How to construct an educational data governance system: Successful experience from Kentucky, USA. Modern Distance Education Research, 33(01), 77–86.

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How to Cite

Guo, Z., Kou, Y., Xu, Y., Zhang, H., & Cui, M. (2025). Data-Driven Practical Approaches to Integrating Teaching, Learning, and Assessment in English. Journal of Educational Theory and Practice, 2(4). https://doi.org/10.62177/jetp.v2i4.773

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Section

Articles

DATE

Received: 2025-10-22
Accepted: 2025-10-24
Published: 2025-11-06