AI-Enabled Development of English Micro-Lecture Resources in Mobile Learning Contexts

DOI

10.2991/978-2-38476-611-6_24How to use a DOI?

Keywords

mobile learning; AI empowerment; English micro-lectures

Abstract

As artificial intelligence (AI) converges with mobile internet technologies, English micro-lecture development is moving from static delivery toward intelligent and adaptive services. Guided by recent national policies, including the Outline of the Plan for Building an Education Powerhouse (2024–2035), this paper identifies three major challenges in mobile English micro-lecture design: repetitive content, weak interactivity, and limited personalization. To address these issues, we examine how AI can add value through resource optimization, improved teaching quality, and higher learning efficiency. We further propose three design principles, namely ease of production and high compatibility, generative integration, and closed-loop iterative improvement, together with specific implementation pathways. Supported by three representative case studies, the proposed framework offers a practical roadmap for developing smarter English learning resources and for making micro-lecture production and learning more intelligent and personalized.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), 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.

Download article (PDF)

TY  - CONF
AU  - Jingxue Sun
PY  - 2026
DA  - 2026/09/07
TI  - AI-Enabled Development of English Micro-Lecture Resources in Mobile Learning Contexts
BT  - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026)
PB  - Atlantis Press
SP  - 209
EP  - 216
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-611-6_24
DO  - 10.2991/978-2-38476-611-6_24
ID  - Sun2026
ER  -