AI-Enhanced Multimodal Pedagogy for Sustainable Development in Vocational Education: A Digital Transformation Framework

DOI

10.2991/978-2-38476-475-4_6How to use a DOI?

Keywords

Sustainable Development; Digital teaching mode; Vocational colleges

Abstract

The integration of artificial intelligence (AI) and multimodal data (text, images, audio, video) is revolutionizing vocational English education by addressing traditional limitations like low personalization and interactivity. This study proposes a multimodal data-driven digital teaching model rooted in multimodal learning theory, leveraging AI techniques such as machine learning and natural language processing to analyze online, offline, and physiological data. By extracting learning patterns and emotional states, the system generates personalized learning plans and real-time feedback, optimizing knowledge retention through multi-sensory engagement.

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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TY  - CONF
AU  - Ning Zhang
PY  - 2025
DA  - 2025/11/11
TI  - AI-Enhanced Multimodal Pedagogy for Sustainable Development in Vocational Education: A Digital Transformation Framework
BT  - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)
PB  - Atlantis Press
SP  - 42
EP  - 51
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-475-4_6
DO  - 10.2991/978-2-38476-475-4_6
ID  - Zhang2025
ER  -