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A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing.

Diana M Naranjo1, José R Prieto2, Germán Moltó3

  • 1Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC-Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain. dnaranjo@i3m.upv.es.

Sensors (Basel, Switzerland)
|July 7, 2019
PubMed
Summary
This summary is machine-generated.

CloudTrail-Tracker offers enhanced analytics for Amazon Web Services (AWS) education. This open-source platform provides visual dashboards for instructors and students to track progress and resource usage in cloud computing courses.

Keywords:
cloud computinglearning analyticslearning dashboardsvisual learning analytics

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Area of Science:

  • Computer Science
  • Educational Technology

Background:

  • Amazon Web Services (AWS) is a valuable platform for teaching distributed computing and cloud-native application development.
  • Effective tracking of student progress in cloud environments is crucial for instructors.

Purpose of the Study:

  • Introduce CloudTrail-Tracker, an open-source platform for enhanced usage analytics on shared AWS accounts.
  • Provide instructors with visual dashboards for monitoring aggregated and individual student AWS resource utilization.

Main Methods:

  • Developed an open-source platform, CloudTrail-Tracker, to collect usage analytics from a shared AWS account.
  • Integrated the platform's visual dashboard into four cloud computing subjects with diverse learning methodologies.
  • Included features for tracking lab session progress and pending student actions.

Main Results:

  • The CloudTrail-Tracker dashboard visualizes aggregated and individual student AWS resource usage.
  • Student progress percentage and pending actions are displayed to facilitate self-regulation.
  • Positive student feedback highlighted the tool's utility in AWS cloud instruction.

Conclusions:

  • CloudTrail-Tracker provides valuable, near real-time learning analytics for cloud computing education.
  • The platform supports semi-automated assessment and enhances student self-awareness of their training progress.
  • The tool is effective across various learning methodologies, from face-to-face to online instruction.