## 4 Discussion
### Practical Implications  
Dynamic modeling: The introduction of the MARL + NeRF framework provides an effective method for resource-constrained schools, enabling them to achieve educational outcomes close to those of top schools (87%). A study suggests that schools can measure and improve their environmental performance using sustainability indicators, thereby achieving higher educational effectiveness even with limited resources [23]. Additionally, student engagement and self-reflection play a key role in enhancing educational outcomes. A randomized field experiment showed that when students reflect on their behavior at school, they can improve their academic performance and participation [24]. Furthermore, the selection of schools and the rational allocation of resources are also crucial factors in enhancing educational outcomes. Research indicates that increasing family and school resources can significantly improve student academic achievement, and school competition is not a primary factor in improving scores [25]. In conclusion, the MARL + NeRF framework provides a possibility for resource-limited schools to achievetop-tier educational outcomes through various innovations. This not only promotes the popularization of tactical education but also offers new perspectives on educational equity and sustainable development.  
Privacy optimization: The design concept of the ST-FedAlign algorithm is based on the \"data availability without visibility\" principle, which enables cooperation and data sharing across schools without exposing specific data. This approach is similar to the standardization of SEND data and cross-study analysis, which emphasizes the structural representation and cross-study usability of data without exposing specific data information [26]. In the field of education, by enhancing communication between schools and parents, the International School Attendance Network (INSA) aims to improve student attendance. This cooperation also relies on data sharing and enhanced communication rather than the visibility of specific data [27]. This approach not only improves the accuracy of comparisons but also enhances the usability and reproducibility of data [28].  
Evaluation reform: To achieve a shift in educational goals, many studies and practices have explored how to apply competency-based frameworks in educational practice. The implementation of these frameworks requires adaptive adjustments in different contexts to ensure their effectiveness and applicability [29]. Standardized frameworks not only promote educational innovation but also ensure the measurability and effectiveness of educational outcomes [30]. The application of these frameworks improves the consistency and reliability of evaluations and provides educators with clear guidelines to help them achieve educational objectives [31]. By putting competency-based frameworks into practice, educational institutions can find a balance between innovation and standardization, thus achieving a transformation in educational goals. These frameworks not only provide clear guidelines for educators but also promote innovation and improvement in educational practices.