Initiatives

Course Redesign

New Call coming fall 2021 - small grants for stem course redesign

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Spring 2021 CaLL FOR COURSE ENRICHMENT PROPOSALS

With 国产短视频anticipating a return to largely face-to-face teaching this fall the STEER team would like to support the adaption of successful online approaches to enhance learning in the face-to-face classroom. Projects are to be undertaken over the summer with stipends of $3,000 per proposal provided at the end to faculty who successfully complete their tasks.

Proposals should include answers to the following:

Faculty name, rank and department.
What course will be affected?
What do you propose to do?
How does this benefit students?
What will be the deliverables?

Please email your proposal to STEER at kschuler@usf.edu by Friday, May 21.

FAQ

The NSF STEER project provides support for improved teaching and learning in STEM, so proposals that implement strategies to increase student engagement and success will be favored. The grant team did not want to require faculty to write an elaborate proposal though the brief nature of the call has prompted some inquiries. Here is a FAQ addressing questions asked about the call.

  • The intention was for planning to occur during summer, implementation in fall, and payment of stipend end of summer.
  • The team was looking for changes to face-to-face courses. Improvements to hybrid courses will be considered, provided they have a significant F2F portion.
  • Changes to summer courses will be considered.
  • Looking mainly for higher enrollment courses since these reach the most students.
  • The proposal could be shared by co-instructors; the stipend is capped a $3000 per course improved.
  • A faculty member may submit more than one proposal.
  • A 300 word limit per question was discussed, but in the end it was decided to leave it open.
  • Final selections will be determined by overall potential for impact and sustainability.

Systemic Transformation of Education Through Evidence-Based Reforms (STEER)

This material is based on work supported in part by the National Science Foundation under Grant #DUE 1525574. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.