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Mini-grants

To encourage, identify and exchange effective practice in the use of learning analytics, DoIT supports an annual “mini-grant” initiative especially designed to address the following:

  • Questions surrounding student success and retention through graduation, especially those that explore relationships between activities and learning in one course and outcomes in other courses.
  • Proposals from instructors of courses that have low success rates, are critical progression points for students, or that impart fundamental skills required for success in the major or program.

The Basics

  • $2k award, renewable annually.
  • Report at the conclusion of the project (conference proposals, external grant submissions, or article submissions are good substitutes)
  • Participation in Learning Science Community meetings
  • Recipients are encouraged to use their results to compete for a Hrabowski Innovation Fund award.

How to Apply

Submit the following by the last day of each Fall or Spring term (Spring 2021 Award Recipients)

  • A brief abstract that could be published on this site if accepted.
  • Max: 3-page research project proposal
  • Brief nominating letter from department chair

For more information, or to discuss a potential proposal, contact the following:

Associate Provost for Analytics & Deputy CIO
Associate Vice President, Instructional Technology