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Ph.D.
(Computer Applications)
FRAMEWORK TO EVALUATE AND IMPROVE EDUCATIONAL
PROCESSES IN INDIAN SCHOOLS AND UNIVERSITIES

Ph.D. Scholar : Suthar Falguni Ambalal
Research Supervisor : Dr. Bhavesh R Patel

Regi. No.: 18276211005
Abstract :
This research presents a comprehensive framework designed to evaluate and enhance
educational processes within India's multifaceted school and university system.
Acknowledging the inherent diversity of the system and prioritizing inclusivity, the
framework utilizes a multifaceted approach to analyze key educational aspects.

The framework assesses foundational skills, subject knowledge acquisition, and critical
thinking abilities, potentially going beyond standardized tests to include alternative
assessments that gauge creativity, problem-solving, and communication skills.

This analysis examines classroom practices, teacher qualifications and professional
development opportunities, access to technology and learning resources that fosters
student engagement and well-being. For universities, institutional effectiveness is
evaluated through research output, industry collaborations, and curriculum alignment
with current job market demands. Schools are assessed on leadership, governance
practices, and community involvement.

Data for this evaluation is meticulously collected through questionnaires administered to
various stakeholders. This data is then analyzed using a unique combination of machine
learning algorithms, including established models like Random Forest, K-Nearest
Neighbors (KNN), XGBoost, Support Vector Machines (SVM), and a newly proposed
model, Randoms3vm.
A significant aspect of the framework lies in its rigorous comparison of the novel
Randoms3vm model against existing models in the educational domain. This
comprehensive analysis sheds light on the strengths and weaknesses of various
algorithms, with a particular focus on Randoms3vm's exceptional accuracy, potentially
reaching 99% in a specific area. This superior performance positions Randoms3vm as a
potential frontrunner for its efficacy and reliability in the educational field.
By analyzing the collected data and pinpointing specific areas for improvement, the
framework generates actionable recommendations. These recommendations
encompass various aspects, including curriculum development to ensure alignment with
national standards and equip students with 21st-century skills, the incorporation of

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