Intelligent Assessment and Improvement System for Teachers’ AI Literacy in Higher Vocational Education: Architecture, Algorithms and Applications

DOI

10.2991/978-94-6239-691-3_57How to use a DOI?

Keywords

AI Literacy; Higher Vocational Colleges; Intelligent Assessment; Personalized Recommendation; System Architecture

Abstract

The rapid development of artificial intelligence technology is profoundly reshaping the ecology of vocational education, and the artificial intelligence literacy of teachers in higher vocational colleges has become a key factor driving the integrated innovation of “Artificial Intelligence + Vocational Education”. However, the current AI literacy of teachers in higher vocational colleges generally presents the status of “advanced awareness, insufficient knowledge, weak skills and vague ethics”, and there is a lack of a scientific, dynamic and personalized assessment and training system. Based on a systematic combing of the connotation and framework of AI literacy, and in view of the characteristics of “industry-education integration and practice orientation” of higher vocational education, this paper proposes a system framework integrating intelligent assessment, accurate diagnosis and personalized improvement. The core algorithms integrate behavior analysis based on multi-source data, a fuzzy comprehensive evaluation model based on the competency framework, and a personalized learning path planning algorithm combining collaborative filtering and knowledge graph. Finally, the typical application scenarios of the system in the professional development of teachers in higher vocational colleges, curriculum teaching reform and industry-education collaborative innovation are discussed, which provides a set of feasible technical solutions and practical paths for higher vocational colleges to systematically improve teachers’ AI literacy and empower the digital transformation of education.

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  - Shijian Gao
AU  - Hui Liu
AU  - Junhong Yuan
PY  - 2026
DA  - 2026/05/31
TI  - Intelligent Assessment and Improvement System for Teachers’ AI Literacy in Higher Vocational Education: Architecture, Algorithms and Applications
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 574
EP  - 584
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_57
DO  - 10.2991/978-94-6239-691-3_57
ID  - Gao2026
ER  -