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MERN Stack Web-Based Education Management Information Systems for Pacific Island Countries.

Lawal Olarotimi Badru1, Vani Vasudevan2, Govinda Ishwar Lingam3

  • 1The School of Information Technology, Engineering, Mathematics and Physics, The University of South Pacific, Suva, Fiji.

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This summary is machine-generated.

Pacific Island Countries

Keywords:
Education indicatorsFijiMicroservices architectureSchool management solutionWeb-based application

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Area of Science:

  • Education Management Information Systems (EMIS)
  • Data Science
  • Software Architecture

Background:

  • Education Management Information Systems (EMIS) are crucial for educational planning, performance assessment, and monitoring.
  • Existing EMIS in Pacific Island Countries (PICs) primarily collect demographic data and generate basic indicators, with limited impact on decision-making.
  • Fiji's EMIS, despite potential, manually generates few indicators not utilized in policy decisions.

Purpose of the Study:

  • To analyze the current state of EMIS in Pacific Island Countries (PICs).
  • To propose a novel, data-driven microservices architecture to enhance EMIS capabilities.
  • To provide a scalable model for improving education data management and utilization in PICs.

Main Methods:

  • SWOT analysis of published technical reports and policy documents (2000-2021) for selected PICs.
  • Development of a microservices architecture using the MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS) with 13 NoSQL collections.
  • Testing the architecture with pseudonymized data from the Fiji Ministry of Education, covering learners, schools, and teachers.

Main Results:

  • Identified significant limitations in current PICs EMIS, hindering effective data utilization.
  • Successfully developed and tested a MERN stack-based microservices architecture.
  • The proposed solution generates dynamic, visualized education data and 28 UNESCO standard indicators.

Conclusions:

  • The developed microservices architecture offers a robust solution to enhance EMIS in PICs.
  • Dynamic data visualization and standard indicators can significantly improve data-driven decision-making in education.
  • This model can serve as a blueprint for upgrading EMIS across Pacific Island Countries.