Managing SMART University Creative Capacity Driving by AI and TRIZ Principles
The advent of AI technologies in educational institutions has reshaped the way universities innovate and address challenges. This paper explores a novel framework for managing the creative capacity of AI-powered SMART universities using the Theory of Inventive Problem Solving (TRIZ). By leveraging TRIZ principles, the study identifies methods for fostering creativity, resolving systemic contradictions, and optimizing resources within academic environments. The proposed approach integrates AI capabilities with TRIZ to enhance decision-making, improve resource allocation, and stimulate innovation in educational ecosystems.
Authors
- Svetlana Murzabekova (ORCID: https://orcid.org/0000-0003-2629-2745)
- Oleh Ilin (ORCID: https://orcid.org/0000-0002-7940-4694)
- Maira Khussainova (ORCID: https://orcid.org/0000-0002-7676-2509)
- Natalia Bushuyeva (ORCID: https://orcid.org/0000-0002-4969-7879)
- Sergey Bushuyev (ORCID: https://orcid.org/0000-0002-7815-8129)
- Rakhmatullo Saidullayev (ORCID: https://orcid.org/0009-0005-9431-4610)
Institutions
- Kyiv National University of Construction and Architecture (UA)
- Kazakhstan Medical University (KZ)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/sist61657.2025.11139160
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00