Research on the innovation of teaching quality assurance system driven by artificial intelligence based on HAIQ-SmartCore model
This paper focuses on the innovation of AI-driven teaching quality assurance systems, with the HAIQ-SmartCore model from Harbin Institute of Information Technology as the core research subject. It first outlines the trends in educational transformation driven by AI, analyzes the challenges faced by traditional teaching quality assurance systems, and then introduces the HAIQ-SmartCore model. The paper delves into the composition, strengths, and issues of the existing system at the college, arguing for the necessity and feasibility of empowering teaching quality assurance systems with AI. It provides a detailed introduction to the architectural design, application cases, and outcomes of the HAIQ-SmartCore model, highlighting its innovative features and exploring future directions for expansion. The study shows that this model significantly enhances the efficiency and quality of teaching management, offering valuable insights for the intelligent transformation of higher education institutions and promising to drive innovative development in the field of education.
Authors
- Yang Bai (ORCID: https://orcid.org/0000-0003-1918-0462)
- Lijuan Dong (ORCID: https://orcid.org/0000-0003-2637-9779)
- Zhao Xue (ORCID: https://orcid.org/0000-0001-6477-1072)
- Ru Zhao
Institutions
- Harbin FRP Research Institute (CN)
Publication Details
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1117/12.3068400
- Primary Topic
- Safety and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00