Interdisciplinary Reading and Generative AI Co-evolution: Theoretical Model and Practical Exploration
This study analyzes the co-evolutionary mechanisms between interdisciplinary reading and generative artificial intelligence (GAI), elucidating their dynamic symbiotic relationship in knowledge fusion and generation, dynamic iteration and optimization, and innovation-driven development. Based on this analysis, a theoretical model of co-evolution is proposed. Practical case studies are then employed to validate the rationality of the theoretical framework. The research demonstrates that the co-evolution of these two domains will reshape the paradigm of knowledge production and enhance students' cognitive abilities. Finally, future research directions for co-evolution are outlined.
Authors
- Yang Xia (ORCID: https://orcid.org/0000-0002-8059-6179)
- Hong Qufei
Institutions
- Nanjing Normal University (CN)
- Nanjing Foreign Language School (CN)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/icaie64856.2025.11158418
- Primary Topic
- Scientific Research and Philosophical Inquiry
- Type
- article
- Field-Weighted Citation Impact
- 0.00