Authors :
Anupam Dwivedi; Michelle Dsouza; Dr. Ankita Aggarwal
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/3d4v8xxr
Scribd :
https://tinyurl.com/yck6u4py
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR2465
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This research presents the development and
implementation of an AI-Driven School Management
System, a comprehensive React-based web application
designed to transform educational administration and
enhance student performance analytics. The primary
aim of this system is to streamline administrative tasks,
improve navigation efficiency within the application, and
provide sophisticated analytical tools that leverage AI to
monitor and predict student performance trends. The
methodology employed involves the integration of React
for dynamic user interface design, coupled with
advanced AI algorithms that process and analyze
student data for actionable insights. Key findings from
the deployment of this system indicate a significant
reduction in administrative overhead, improved user
experience for staff and students, and a marked increase
in the accuracy and relevance of performance analytics
provided by the AI. These enhancements have
demonstrated potential benefits in educational settings
by aiding decision-making processes, personalizing
learning experiences, and optimizing operational
efficiency. The system not only addresses existing gaps in
traditional school management software but also sets a
precedent for future advancements in the integration of
AI technologies in educational administration.
References :
- Ijaz K., Abdul R. A., Nafaa J. & Mohammed N.M: An artificial intelligence approach to monitor student performance and devise preventive measures. Springer Open
- Nian K. from Salahaddin University: Student Academic Performance Using Artificial Intelligence. Research gate
- Innocent C. I. PhD: Application of Artificial Intelligence (AI) in Educational Management. Research gate
- M. Somasundaram, K.A. Mohamed Junaid, Srinivasan Mangadu: Artificial Intelligence (AI) Enabled Intelligent Quality Management System (IQMS) For Personalized Learning Path. Science Direct
- Tu Peng,1Yipin Luo,2and Yanjin Liu: AI-Based Equipment Optimization of the Design on Intelligent Education Curriculum System. Hindawi.
This research presents the development and
implementation of an AI-Driven School Management
System, a comprehensive React-based web application
designed to transform educational administration and
enhance student performance analytics. The primary
aim of this system is to streamline administrative tasks,
improve navigation efficiency within the application, and
provide sophisticated analytical tools that leverage AI to
monitor and predict student performance trends. The
methodology employed involves the integration of React
for dynamic user interface design, coupled with
advanced AI algorithms that process and analyze
student data for actionable insights. Key findings from
the deployment of this system indicate a significant
reduction in administrative overhead, improved user
experience for staff and students, and a marked increase
in the accuracy and relevance of performance analytics
provided by the AI. These enhancements have
demonstrated potential benefits in educational settings
by aiding decision-making processes, personalizing
learning experiences, and optimizing operational
efficiency. The system not only addresses existing gaps in
traditional school management software but also sets a
precedent for future advancements in the integration of
AI technologies in educational administration.
