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Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure.

Felipe Osimani1, Bruno Stecanella2, Germán Capdehourat3

  • 1Instituto de Computación (INCO), Universidad de la República (UdelaR), Montevideo 11300, Uruguay. felipe.osimani@fing.edu.uy.

Sensors (Basel, Switzerland)
|December 27, 2018
PubMed
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This summary is machine-generated.

Plan Ceibal

Area of Science:

  • Educational Technology
  • Computer Science
  • Internet of Things (IoT)

Background:

  • Plan Ceibal in Uruguay implements the One Laptop Per Child initiative, providing devices and internet access to students and teachers.
  • The program's scale presents significant challenges in device management, particularly maintenance and replacement, leading to user downtime.
  • Early detection of hardware faults, such as battery degradation, is crucial for proactive maintenance and improved user experience.

Purpose of the Study:

  • To present a prototype Mobile Device Management (MDM) module for Plan Ceibal.
  • To leverage an Internet of Things (IoT) infrastructure for scalable and secure device management.
  • To demonstrate the feasibility of preventive device management through data analysis of a controlled experiment.

Main Methods:

Keywords:
Internet of ThingsMobile Device Managementone-to-one computing educational program

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  • Developed a prototype MDM module integrated with an IoT infrastructure.
  • Deployed the prototype on a public IoT platform to expedite development and ensure scalability.
  • Conducted a controlled experiment on a sample of devices, analyzing collected data offline.

Main Results:

  • The prototype demonstrated the potential for proactive device management within the Plan Ceibal initiative.
  • Data analysis identified key metrics for early fault detection, particularly in stressed hardware components like batteries.
  • The use of public IoT infrastructure facilitated rapid development and testing without local infrastructure dependencies.

Conclusions:

  • The developed MDM prototype offers a scalable and secure solution for managing Plan Ceibal devices.
  • Implementing preventive maintenance based on early fault detection can significantly reduce device downtime.
  • The study provides a foundation for a real-world deployment of IoT-based device management in large-scale educational technology programs.