Kueber Watkins and Middlebrook Selected for 2022 CTL Instructional Awards

Melanie Kueber Watkins
Melanie Kueber Watkins

The Jackson Center for Teaching and Learning (CTL) congratulates the 2022 Deans’ Teaching Showcase members who have been selected to receive 2022 CTL Instructional Awards. Mark your calendars for the following fall semester events, where instructors will discuss the work that led to their nominations. After each presentation they will receive formal recognition and $600 in additional compensation.

CTL Instructional Award Series Schedule:

  • Sept. 29 — Innovative or Out-of-Class Teaching: Kristin Brzeski (CFRES) and Melanie Kueber Watkins (CEGE)
  • Oct. 13 — Large Class Teaching: Loredana Valenzano-Slough (Chemistry)
  • Nov. 8 — Curriculum Development or Assessment: Chris Middlebrook (ECE) and Josue Reynoso (CoB)
Christopher Middlebrook
Christopher Middlebrook

All events will take place from 3:45–4:45 p.m. Detailed presentation titles, topics and registration links for the events will be announced later.

The CTL would also like to thank previous instructional award recipients who were instrumental in the selection process.

We’re looking for nominations for the upcoming (2023) Deans’ Teaching Showcase during spring semester. Please consider suggesting (to your dean or chair) instructors whom you’ve seen make exceptional contributions in curriculum development, assessment, innovative or out-of-class teaching, or large class teaching.

By the Jackson Center for Teaching and Learning.


The Jackson Center for Teaching and Learning will recognize Kristin Brzeski (CFRES) and Melanie Kueber Watkins (CEGE) as co-recipients of the CTL Instructional Award for Innovative or Out of Class Teaching on Sept. 29 at 3:45 p.m.

Watkins’ award presentation is titled “Collaborative Classroom Cloud Computing.”

From the abstract:

“Dr. Watkins will highlight her use of project-based learning to enhance student computing skills and job preparedness. Her approach involved integrating new concepts and skills into courses for 2D hydraulic modeling with lidar data, including Linux scripting.”