Optimization Mechanism of Postgraduate Education Fund Allocation Based on DIKWP Model

The effective allocation of resources in postgraduate education is pivotal for ensuring program quality, accessibility, and relevance in a dynamic academic landscape. This paper explores the optimization of educational funding allocation in postgraduate education through the application of the DIKWP model (Data, Information, Knowledge, Wisdom, Purpose). The DIKWP model provides a structured framework for data-driven decision-making and knowledge creation, which holds the potential to revolutionize the allocation of resources in the postgraduate education sector. This paper delves into the conceptual framework and practical steps involved in implementing the DIKWP model for educational funding optimization. It offers insights into the potential advantages and the challenges institutions may encounter during this process, ultimately striving to provide a comprehensive understanding of how the DIKWP model can enhance postgraduate education by optimizing the allocation of educational funding and addressing obstacles that may arise in the process.