TAIR Conference

Learn how Texas colleges are tying insights to action to improve student success and increase performance-based funding.

February 24-27, 2026
Moody Gardens Resort | Galveston, Texas

Visit with ZogoTech at TAIR

ZogoTech is proud to sponsor the Texas Association for Institutional Research’s (TAIR) annual conference in Galveston this year. 

Be sure to stop by and say hello to our team members.

Attend Our Partner Presentations at TAIR

[Workshop] Using Benchmarking to Support Institutional Effectiveness, Workforce Outcomes, and HB8 Funding

Tuesday, February 24 • 8:30 - 11:30 AM CT

This interactive workshop by the National Community College Benchmark Project (NCCBP) will demonstrate how benchmarking data can be applied to institutional effectiveness, workforce outcomes, and the new Texas HB8 performance funding model. Participants will gain hands-on experience using the NCCBP dashboard, explore workforce and labor-market statistics, and preview customized tools designed to support Texas colleges in meeting accountability and funding requirements.

Presenters

Identifying Potential Graduates to Help With HB8

Wednesday, February 25 • 3:45 PM - 4:30 PM

This session will provide a demo of our data warehouse and how we can identify upcoming graduates and find graduates who might have been missed in the awards process. We will also discuss how to identify students who may have opportunities to graduate with a different award, if eligible, if they complete those requirements instead. While we will show our data warehouse, we will also provide strategies for people without one.

This is now critical as HB8 funding has most of the funding based on completions and every student you complete can make a difference.

Outcomes:

  • Understand the challenges associated with identifying potential graduates and recognize the limitations of existing systems and staffing.
  • Explore the benefits of using simple searches to build a process to identify the students.
  • Gain insights into strategies like identifying alternate degree options and off-path courses and learn how these interventions can effectively assist students in completing their educational programs.

Presenters

The Pathway to HB8 Success: Predictive Modeling Meets Improvement Science

Thursday, February 26 • 11:30 AM - 12:15 AM CT

This session examines how improvement science methods can strengthen institutional forecasting under Texas House Bill 8’s performance-based funding model. Using Northeast Texas Community College as a case study, I will share how iterative PDSA cycles, including integrated reporting calendars, cross-department collaboration, and predictive modeling, are being used to reduce funding uncertainty and improve planning accuracy.

Outcomes:

  • Attendees will learn strategies to identify root causes of budget forecasting errors, prioritize high-impact change ideas, and balance equity with accountability. Key takeaways include how rural-serving colleges can adapt to policy volatility, embed forecasting into strategic planning, and sustain continuous improvement processes that protect student success.

Presenter

An Assessment Process that Faculty Love

Thursday, February 26 • 11:30 AM - 12:15 AM CT

Lee College just went through its decennial reaffirmation, and one reviewer remarked with amazement that “the faculty love the assessment process!” This session will describe Lee College’s assessment process and show how it eliminates many of assessment’s pain points and focuses on interpreting and responding to assessment data with recommendations for continuous improvement. The session will describe the importance of universal PLOs, overcoming the problem of Core courses, leveraging unit-level data, providing faculty training, helping faculty formulate their continuous improvement plans and combining data from the Learning Management System and the Student Information System. Participants will leave with a clear understanding of a viable and coherent alternative to traditional assessment processes.

Outcomes:

  • Describe the importance of universal PLOs to maximize the value of assessment data.
  • Describe how unit-level data allows for true program-level assessment.
  • Explain conceptually how unit-level data are processed to produce program-level assessment reports.
  • Explain how the new data model addresses criticisms of assessment including issues of validity, reliability, and ambiguous results.
  • Describe key features of the analysis of assessment data.

Presenter

Attend our Social Hour and connect with other community college leaders.

Let Us Know You’re Coming!