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ASSISTments Data Distribution

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As online learning has become increasingly more common, a significant amount of interest in educational research has grown at WPI and throughout other universities. With the rise of COVID-19, educational platforms have become more prominent than ever racking up a massive amount of data points within their ecosystems. One university-based platform for online learning, ASSISTments, is unique for its built-in capacity for research. One prominent problem within the ecosystem is related to its data distribution technique. In this IQP report, I am going to outline the issues of data distribution inherent to ASSSITments’ research features, and its high reliance on human intervention by the ASSISTment’s research team. On top of these issues, I will also discuss the web application that I built, which integrates the Center for Open Science (COS) Open Science Framework (OSF), supporting the research workflow and transparency of academic research. I will also be discussing future work and integration with the E-Trials research testbed.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Subject
Publisher
Identifier
  • E-project-032421-020420
  • 15441
Advisor
Year
  • 2021
UN Sustainable Development Goals
Date created
  • 2021-03-24
Resource type
Rights statement
Last modified
  • 2021-05-03

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