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innovative teaching methods, and the promotion of a holistic learning experience.
Teacher training is addressed by highlighting the importance of ongoing professional
development programs to enhance teaching skills, effectively integrate technology, and
cater to diverse learning needs. Additionally, the framework emphasizes resource
optimization, ensuring efficient allocation for infrastructure, technology, learning
materials, and student support services. Finally, the framework encourages collaboration
and partnerships between schools, universities, and industry, fostering the sharing of
best practices, facilitating research, and ultimately enhancing graduate employability.

This framework strives to create a system of continuous improvement within Indian
educational institutions. This system would ensure quality education that empowers
students for success in a globalized world. Ultimately, by providing actionable
recommendations based on data-driven analysis, this framework serves as a roadmap
for stakeholders to guide Indian education towards a brighter future.

Key words: Framework, Education, India, Assessment, Skills, Curriculum, Teaching,
Learning, Technology, Data analysis, Recommendations, Machine learning algorithms,
Random Forest, K-Nearest Neighbors (KNN), XGBoost, Support Vector Machines (SVM),
Randoms3vm.

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