Research on a Real-Time Interactive Database Teaching Assistant Based on the Coze Platform

DOI

10.2991/978-2-38476-475-4_45How to use a DOI?

Keywords

Intelligent Teaching Assistant; Database Course; Artificial Intelligence; Question–Answering System

Abstract

This paper develops a teaching assistant intelligent agent for database system courses based on the Kouzi platform, integrating functionalities such as plugin extensions, data flow construction, knowledge base management, and automated testing to provide intelligent question-answering support and learning data analysis for both in-class and after-class learning. The system design encompasses the overall architecture and functional implementation workflow, ensuring the accuracy and real-time responsiveness of question-answering through modular interaction, logic processing, data management, and feedback analysis. Experimental results demonstrate that the system exhibits significant advantages in terms of response speed to student inquiries, answer accuracy, and academic performance improvement, with the average course score increasing from 72.3 to 78.5 and the pass rate rising from 89.7% to 95.5%. The findings highlight the effectiveness of this intelligent assistant in fostering learning initiative, optimizing classroom interaction, and enhancing learning outcomes, while also providing a feasible reference for the broader application of intelligent educational tools across other courses and disciplines.

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  - Limin Zhang
AU  - Yunsai Zhai
PY  - 2025
DA  - 2025/11/11
TI  - Research on a Real-Time Interactive Database Teaching Assistant Based on the Coze Platform
BT  - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)
PB  - Atlantis Press
SP  - 380
EP  - 387
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-475-4_45
DO  - 10.2991/978-2-38476-475-4_45
ID  - Zhang2025
ER  -