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.
- $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 (next round deadline: Friday, May 21, 2021)
- 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