ASSISTments Data Distribution
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open in viewerAs 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
- Última modificação
- 2021-05-03
Relações
- Em Collection:
Itens
Itens
Miniatura | Título | Acesso | Embargo Release Date | Ações |
---|---|---|---|---|
Data Fetcher IQP Paper_1.pdf | Público | Baixar |
Permanent link to this page: https://digital.wpi.edu/show/9880vv09n