
Teaching Innovation Award
Carnegie Mellon's Teaching Innovation Awards honor specific teaching innovations implemented by 1-3 full-time faculty or staff instructors of record annually. It recognizes teaching practices designed to improve student learning in online, blended or face-to-face courses. Innovations may be any teaching strategy used in a course, class meeting, assignment, or other learning activity.
This award recognizes innovative teaching practices at the level of individual Carnegie Mellon University courses, class sessions, or assessments based on the:
- originality of the teaching strategy or how it was implemented,
- impact on student learning and/or engagement, and/or
- potential to adopt the teaching strategy (or key elements thereof) within or across disciplines.
Innovative topical course content (e.g., the first course on ice hockey analytics) is NOT a criterion or sufficient for this award.
Who Can Nominate?
Any CMU faculty, staff, or student may submit a nomination. Self-nominations are welcome.
Students seeking to nominate someone are strongly encouraged to collaborate with faculty and/or administrators in the nominee’s academic department to optimize nominations.
Who is Eligible?
Innovative teaching strategies developed and implemented within CMU undergraduate and graduate courses may be nominated. Any CMU faculty or staff member who was an instructor of record for the course AND contributed significantly to the development and/or implementation of the innovation is eligible to be recognized for that innovation. Innovations from all disciplines and CMU teaching contexts are welcomed. Previous winners are not eligible for nomination.
Nomination Process
Nominations consist of two phases
Please submit nominations as a single PDF using these online forms:
Questions should be directed to the Vice Provost for Education.
What is the Phase 1 Nomination Process?
When is the nomination deadline? November 3, 2025
The Phase 1 nomination letter must be submitted on or before November 3, 2025 via the nomination form to be considered for that academic year.
What is submitted?
In Phase 1, nominators must submit one letter (maximum two single-spaced pages) that explains why the innovation is worthy of the award. Because the decision to advance the nomination to the second phase is based on this letter alone, it should be descriptive, convincing, and specifically focused on addressing the award criteria listed above. The letter should address the following:
- Who is the nominee (faculty member or team)?
- What was the name and number of the CMU course(s) in which the innovation was implemented?
- What was the teaching practice, specifically? Why is it innovative?
- How did it positively impact student learning and/or engagement?
The Phase 1 nomination letter should be submitted as a PDF via the nomination form on or before November 3, 2025.
When are finalists selected for Phase 2?
The award committee will select up to ten innovations to be considered for phase two of the nomination process. Nominators will be notified of outcomes in December.
What is the Phase 2 Nomination Process?
When is the nomination due? February 2, 2026
The Phase 2 nomination letter must be submitted on or before February 2, 2026 via the nomination form to be considered for that academic year.
Who prepares the nomination materials for finalists?
The nominators of each innovation selected for phase 2, together with the nominee(s) are responsible for preparing the full case for that nomination.
What is submitted?
- description of the innovation completed by the nominee(s) (maximum 1,000 words or two single-spaced pages), addressing:
- what motivated this teaching innovation (i.e., what problem it was designed to address or what opportunity it was designed to leverage),
- how the innovation was implemented, and
- how it impacted student learning and/or engagement (e.g., direct evidence of changes in students' performance on tests/assignments, attendance, participation, attitudes, use of instructional materials, etc.)
- up to three distinct supporting materials associated with the innovation assembled by the nominee(s), potentially including, but not limited to:
- relevant assignment prompts/descriptions/rubrics,
- links to online instructional resources,
- examples of student work, annotated to provide context, and
- quantitative and/or qualitative data demonstrating the impacts of the teaching intervention on students (maximum 10 pages),
- two to four letters of support written by current students and/or faculty members.
Advice for nominators and letter writers
Letters should:
- be limited to two single spaced pages each,
- specifically and directly describe how the nominee’s teaching innovation demonstrates the award criteria listed above, especially regarding impacts on student learning and/or engagement.
- (ideally) represent both student and faculty letter writers.
- Represent colleagues’ knowledge of the nominee's teaching innovation via:
- experiences co-teaching, direct observation, conversations with the nominee, etc.
- interactions with the nominee’s students, and
- include testimonials from current and/or former students* regarding how the nominee’s teaching innovation impacted them.
*Students may need more guidance in terms of expectations of what a good letter of recommendation should look like, please share the criteria and advice above with them.
Please note that selected quotes from the winners’ nomination packets may be used for publicity purposes.
SUBMISSION: The Phase 2 nomination packet should be submitted as a single PDF via the nomination form on or before February 2, 2026.
When is the award winner announced?
The award committee will select one to three individuals or teams annually to recommend to the provost for the award. Nominators of all finalists will be notified of outcomes in March. The winner(s), along with their nominators, colleagues, and friends and family, will be invited to attend the Celebration of Education event in April to receive their award.
Administration
The provost is responsible for the administration of the nomination and selection process, including calling for proposals and convening the award selection committee.
Selection Committee
The award selection committee consists of:
- recipients of the Teaching Innovation Award from the previous three years,
- up to three additional faculty members appointed by the provost,
- at least two undergraduate and two graduate students selected through a process developed by the dean of Student Affairs, and
- the committee chair (a representative of the Eberly Center for Teaching Excellence and Educational Innovation, a non-voting member).
The selection committee adopts its own rules of procedure.
Selection
The award committee will choose one to three individuals or teams to be recommended to the provost as the year's recipients of the award. Upon the provost's approval, the recipients will be notified and the awards will be presented at the Celebration of Education event in the spring.
Past Recipients
2025
Chris Harrison
Human-Computer Interaction Institute
2024
Reeja Jayan
Mechanical Engineering and Courtesy Appointments, Chemical Engineering, Electrical and Computer Engineering, Materials Science and Engineering
Gerald J. Wang
Civil and Environmental Engineering
2023
Motahhare Eslami
Human-Computer Interaction Institute and Software and Societal Systems Department
Geoff Kaufman
Human-Computer Interaction Institute
2022
Ken Holstein
Human-Computer Interaction Institute
Joshua Kangas
Computational Biology
2020 (Individual)
Felipe Gómez
Department of Modern Languages
Kim Hyatt
Heinz College of Information Systems and Public Policy and Management
2020 (Team)
Department of Biological Sciences
- Carrie Doonan
- Lynley Doonan
- Emily Drill
- Natalie McGuier
2019
Molly McCarter
School of Drama
Umut Acar and Anil Ada
Department of Computer Science
Peter Adams, Katarzyna Snyder and James Wynn
Departments of Civil & Envinronmental Engineering, Engineering and Public Policy, Dietrich Dean's Office and Department of English
2018
Jessica Hammer
Human Computer Interaction Institute and Entertainment Technology Center
2017 (Individual)
Daragh Byrne
School of Architecture
Ryan Tibshirani
Departments of Statistics and Machine Learning
David Yaron
Department of Chemistry
2017 (Team)
DJ Brasier and Maggie Braun
Department of Biologica Sciences
Mellon College of Science First-Year Seminar Committee Team
William Alba
Science & Humanities Scholars Program and Advanced Placement Early Admission Program
Maggie Braun
Department of Biological Sciences
Amy Burkert
Office of the Provost and Department of Biological Sciences
Heather Dwyer
Mellon College of Science
Eric W. Grotzinger
Department of Biological Sciences
Kunal Ghosh
Department of Physics
John Hannon
Divison of Student Affairs
Jon Minden
Department of Biological Sciences
Veronica Peet
Mellon College of Science
Karen Stump
Department of Chemistry
Russell Walker
Department of Mathematical Sciences
Emily Weiss
Eberly Center for Teaching Excellence & Educational Innovation
2016 (Individual)
Maralee Harrell
Department of Philosophy
Christopher M. Jones
Department of Modern Languages
2016 (Team)
"Art, Conflict and Technology in Northern Ireland" Team
Jennifer Keating-Miller
Dietrich College of Humanities and Social Sciences
John Carson
School of Art
Illah R. Nourbakhsh
Robotics Institute