Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)

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Research on Data Ethics of Digital Portrait Technology Empowering English Teaching

Authors
Yanru Yang1, Lan Zhou2, Haige Shi3, *, Ying Liu3
1Department of Science and Technology, Beijing Polytechnic, Beijing, China
2School of Automotive Engineering, Beijing Polytechnic, Beijing, China
3School of Fundamental Education, Beijing Polytechnic, Beijing, China
*Corresponding author. Email: shihaige@sina.com
Corresponding Author
Haige Shi
Available Online 3 April 2025.
DOI
10.2991/978-2-38476-384-9_14How to use a DOI?
Keywords
Digital Portrait Technology; Data Ethics; College English Classroom; Personalized Teaching; Data Privacy and Governance
Abstract

Digital portrait technology, by integrating and analyzing data generated by students in the context of college English learning environments, supports personalized teaching but also poses data ethical risks such as invasion of data privacy, algorithmic bias, and infringement upon student autonomy. Drawing upon theories of information privacy, justice, autonomy, and technological determinism, this study delves into the application of digital portrait technology in college English instruction and the associated data ethics issues. A multidimensional ethical governance framework is proposed, emphasizing privacy protection in the collection and processing of personal information, overcoming data biases to ensure fairness, respecting student choice rights, and leveraging technology to enhance educational quality, thereby realizing the governance concept of “joint construction, joint governance, and shared benefits.” Combining empirical analysis of the ethical application of digital portraits in English classrooms, this paper specifically elucidates the implementation pathways to avoid ethical risks in specific contexts, ensuring that the application of digital portrait technology promotes educational equity and high-quality development.

Copyright
© 2025 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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Volume Title
Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
3 April 2025
ISBN
978-2-38476-384-9
ISSN
2352-5398
DOI
10.2991/978-2-38476-384-9_14How to use a DOI?
Copyright
© 2025 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.

Cite this article

risenwbib
TY  - CONF
AU  - Yanru Yang
AU  - Lan Zhou
AU  - Haige Shi
AU  - Ying Liu
PY  - 2025
DA  - 2025/04/03
TI  - Research on Data Ethics of Digital Portrait Technology Empowering English Teaching
BT  - Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024)
PB  - Atlantis Press
SP  - 111
EP  - 120
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-384-9_14
DO  - 10.2991/978-2-38476-384-9_14
ID  - Yang2025
ER  -