Check out our top resources to help you get started with your ATE evaluation post-award. It’s packed with just-in-time resources to guide you through the evaluation process, from working with your evaluator, to reporting on your project’s impact. Whether you’re navigating the procurement process, searching for an evaluator, or requesting data, these resources can help your evaluation run smoothly.
EvaluATE Pre-Conference Session
Stories of Impact – Meaningful and Efficient Qualitative Evaluation
Presenters: Lyssa Wilson Becho, and Brianna Hooks Singletary
Date: Wednesday, October 23
Time: noon – 3 p.m. EST
Track: Workshop, Track 4
Room: Palladian
First-hand accounts from students and faculty served by ATE projects can lend powerful evidence of impact. Many find evaluations most credible when numbers and stories are combined. However, qualitative analysis can feel time-consuming and nearly impossible on smaller evaluation budgets. In this workshop, participants will learn about methods for rapid qualitative analysis, practice different coding techniques, and discuss the use of technology such as AI to make qualitative analysis more efficient and meaningful. This interactive workshop is designed for ATE evaluators, PIs, and project staff looking to integrate qualitative methods into low-resourced evaluations.
EvaluATE Conference Sessions
Collecting Student Data in ATE: Strategies for Success
Presenters: Marci Gale, Mason Lefler, Erika Sturgis, and Rick Vaughn
Date: Thursday, Oct. 24
Time: 8:30 – 9:15 a.m. ET
Room: Diplomat
STRATEGIES FOR SUCCESS FROM BRIDGERLAND TECHNICAL COLLEGE
DATA COLLECTION TEMPLATES FROM BRIDGERLAND TECHNICAL COLLEGE
EXAMPLE STUDENT TRACKING FROM RIO SALADO COLLEGE
Guide to Requesting Data from Institutional Research Offices
Three Tips to Strengthen Communication Between Evaluation and Project Teams
Presenter: Brianna Hooks Singletary
Date: Thursday, October 24
Time:11:45 – 11:55 a.m.
Location: Exhibit Hall (part of ATE Connects Countdowns)
EvaluATE is supported by the National Science Foundation under grant number 2332143. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation.