TEval is an NSF funded push to transform higher education.
We're advancing understandings of institutional change processes by studying and supporting the adoption and integration of new approaches to evaluating teaching.
October 2026 Alliance Meeting - video / resources.
An international group of colleagues from institutions who are advancing more holistic, valid, and effective approaches to teaching evaluation. Building on the momentum from the NextGen Teaching Evaluation Alliance's launch summit in April 2026, this convening brought together academic leaders and faculty to exchange ideas, explore shared challenges, and find inspiration for transforming teaching evaluation in your own departmental and institutional contexts.
View recording of this meeting.
View a list of links to meeting-related resources.
We feature three brief examples of what colleagues are doing in their institutional contexts,
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Triangulating Data
Nate J. Clason, Ph.D. | Academic Specialist, Institutional Research, Michigan State University -
Peer Observation
Thomas J. Tobin | Independent scholar
Lauren Barbeau | Assistant Director for Learning & Technology Initiatives, Georgia Tech -
Institutional Change
Ying Xiong | Assistant Vice Provost for Learning Innovation & Assessment, Duke Kunshan Univ.
In addition to these presentations we share community led approaches to advancing Teaching Evaluation and the international TEval Alliance.
Stay tuned for our next meeting in early 2027!
Check out our book from Harvard Education Press (Fall 2025): Transforming College Teaching Evaluation: A Framework for Advancing Instructional Excellence
Three institutions (UMass, KU, and CU) are incubating specific strategies and processes for effecting change.
This project includes a study of organizational change in regard to institutional evaluation, incentive, and reward processes pertaining to teaching excellence in faculty work. The overall project encourages the use of evaluation, incentive, and reward processes as a lever to promote greater use of evidence-based teaching within universities as complex systems.
This project is conducted in collaboration with and the support of the Association of American Universities and the Bay View Alliance.
This material is based upon work supported, in part, by the National Science Foundation, Award numbers: DUE 1725946, 1726087, 1725959, and 1725956.
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.