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2026 Innovation in Teaching Award

 

The Financial Management Association International's (FMA) Innovation in Teaching Award is designed to recognize inspiring educators, enhance the quality and relevance of education in finance, disseminate successful innovative practices, and elevate teaching as a craft to the next level.

Criteria

This competition is open to any educator who teaches undergraduate or graduate students in finance.

Selection of the finalists and winner will be determined by a committee based on the following criteria:

  1. Innovation
  2. Broad transferability of the teaching technique in terms of resources and instructor skills/connections
  3. Measurable impact on students, institutions of higher education, and the finance profession

Applicants must submit (1) a letter of support from a dean or department chair (2) a 500-1,000 word description of their teaching techniques. The description should detail:

  1. The teaching procedure
  2. The knowledge or skills that this technique introduces or reinforces
  3. Materials, if any, that are required
  4. The impact that the technique has had on students, the applicant's institution, and/or the finance profession
  5. Summary of student feedback, comments, and/or evaluations
  6. The ease of transferability to another instructor

Prizes

The award winners will receive award plaques, recognition on FMA's website, and the following prizes:

  • First prize (1): $1,000
  • Runners-up (2): $500 each

The finalists' teaching technique submissions and a video recording of the conference session may be posted on the FMA website.

The application deadline is Friday, 22 May 2026.

Click here to apply

 

Congratulations to the 2025 Innovation in Teaching Award winners!

1st Place Winner:

AI-Assisted Financial Analysis 

Kerry Back, J. Howard Creekmore Professor of Finance, Rice University

Runners-Up:

Bricks and Risks: Building Blocks to Break Through Conceptual Roadblocks
Ethan Chiang, Associate Dean and Professor; Xi (Nancy) Mo, Clinical Assistant Professor, Finance, University of North Carolina at Charlotte

Customized Fear and Greed Index with Generative AI
Tianyang Wang, Professor of Finance, Colorado State University

 

Click here to view previous Award Winners

 

Questions?

If you have any questions, please contact FMA at +1.833.946.4512 or [email protected].