Innovation and Practice of Database Teaching in Higher Vocational Education under the Teacher-AI-Student Tripartite Synergistic Framework

DOI

10.2991/978-2-38476-593-5_26How to use a DOI?

Keywords

AI large model; Higher vocational education; Database teaching; Ternary synergy; Teaching innovation

Abstract

In view of some difficulties existing in database teaching in higher vocational colleges, such as difficulty in understanding abstract concepts, lack of practical ability, students’ low enthusiasm in class, and difficulty in teaching students in accordance with their aptitude, this paper proposes and practices a “teacher AI student” ternary collaborative teaching framework based on generative artificial intelligence (AI) model. The framework takes the large language model based on transformer architecture (such as deepseek) as the core technical support, combines fine tuning, AST analysis, knowledge map and parametric exercise generation algorithm, and designs intelligent teaching modules such as dialogue question answering, real-time error correction, dynamic case generation, etc. A 16 week teaching control experiment (37 in the experimental group and 34 in the control group) was carried out. The experimental research shows that the framework can significantly improve the students’ SQL operation accuracy (19.7%), concept understanding level (11.5%) and practical efficiency (the completion time is shortened by 38.7%). This study constructs a new teaching mode of “teacher led, student-centered, AI supported”, which reflects the systematic integration of AI technology and education scene, and provides an operable practice path for Vocational Education in the intelligent era.

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  - Fang Li
PY  - 2026
DA  - 2026/06/30
TI  - Innovation and Practice of Database Teaching in Higher Vocational Education under the Teacher-AI-Student Tripartite Synergistic Framework
BT  - Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
PB  - Atlantis Press
SP  - 223
EP  - 234
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-593-5_26
DO  - 10.2991/978-2-38476-593-5_26
ID  - Li2026
ER  -