A Study on the Composition and Improvement Paths of University English Teachers’ Data Literacy in the Big Data Era

DOI

10.2991/978-2-38476-569-0_15How to use a DOI?

Keywords

Big Data Era; University English Teachers; Data Literacy; Constitutive Dimensions; Improvement Paths

Abstract

The rapid development of big data technology has propelled higher education into a phase of intelligent transformation, leading to profound changes in university English teaching models. Teachers, as the core leaders of teaching activities, find their data literacy becoming a key factor in adapting to the teaching demands of the big data era and enhancing the quality of English teaching. Against the backdrop of the big data era, and based on theories of teacher professional development, data literacy, and constructivist learning, this study employs literature review, questionnaire surveys, and in-depth interviews to systematically explore the constitutive dimensions of university English teachers’ data literacy and propose targeted improvement paths. The research finds that university English teachers’ data literacy consists of four core dimensions: data awareness, data knowledge, data skills, and data ethics. Currently, the overall data literacy of university English teachers in China is at a medium level, with issues such as weak data awareness, insufficient data skills, and an imperfect training system. Accordingly, this paper constructs a “trinity” improvement system from the individual teacher, university, and societal levels, aiming to provide theoretical reference and practical guidance for promoting the professional development of university English teachers and facilitating the reform of university English teaching.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ronglin Shan
PY  - 2026
DA  - 2026/05/01
TI  - A Study on the Composition and Improvement Paths of University English Teachers’ Data Literacy in the Big Data Era
BT  - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
PB  - Atlantis Press
SP  - 122
EP  - 131
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-569-0_15
DO  - 10.2991/978-2-38476-569-0_15
ID  - Shan2026
ER  -