Online learning environments are rapidly expanding the nature of the data that can be collected about student opportunity to learn and the details of the learning process. Borrowing from multiple traditions, analysis of educational discourse data addresses multiple persistent problems in education, including the development of ways to better predict student success during a course and to design interventions to provide support. The researchers in this proposal will build a community to address three important areas: ethics in data sharing; technical issues in data sharing; and, plans for an infrastructure to support and develop capabilities in both of these. The community built in this effort will collaboratively create the necessary metadata and standards for data sets and tools, templates for appropriate approval to use online discourse data, and de-identification algorithms that can be shared across data platforms.

At the conclusion of the work, a white paper will be constructed and disseminated that addresses ethical and technical issues and solutions, as well as infrastructure, needs to facilitate collaborative educational discourse research.


Funding Source:
National Science Foundation


Dr. George Siemens