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Education Research Center advisory board approves broad slate of research projects, requests data clarifications
Summary
The ERC advisory board approved more than a dozen research proposals and numerous data-extension requests on Jan. 26, including studies of AI in higher education, middle‑school algebra expansion, college‑promise programs and teacher pathways; several approvals included amendments requiring additional CBM files and clarified FERPA exemption language.
The Education Research Center (ERC) advisory board convened virtually on Jan. 26 and approved a broad list of research proposals and routine data-extension requests, endorsing projects that will use statewide TEA, THECB and workforce-linked data to study policy questions ranging from generative AI in higher education to the effects of expanded 8th‑grade algebra.
The action-packed meeting opened with roll call and a brief agenda change; the chair said item 9 (consultation with legal counsel on board governance) would be moved after item 2. Chair also recognized Holly’s final meeting as an ERC advisory board member; Holly said she would remain engaged with ERC research after relocating.
The board approved the prior meeting minutes and the consent calendar by voice vote. It then moved through a long sequence of data-access and extension approvals for specific files and projects (items listed on the agenda by internal identifiers). Several members asked for clarifications about original end dates and the scope of requested extensions; staff said they would double-check records and update forms as needed.
The board then considered the meeting’s substantive proposals. Highlights include:
- A study on the impact of generative AI on college outcomes. Researcher Bryce Davies (Ph.D. student, Harris School of Public Policy, University of Chicago) told the board his project will combine course syllabi exposure measures with student records to test whether AI adoption has changed enrollment patterns and grade distributions. The board asked for a clearer purpose statement and for degree‑completion measures; Davies agreed to add those clarifications and to request the relevant CBM completion files.
- A linked pair of projects tracing students from pre‑K through workforce outcomes. Christina Beslan (College of Education) described two quantitative projects that will merge ERC holdings with THECB, Clearinghouse and Texas Workforce Commission wage records. The board requested additional TEA/CBM files (CBM OC1, OC2, p_class and p_employee) and clearer alignment between each research question and the statistical method; Beslan accepted those amendments.
- An evaluation of the UT El Paso Paydirt Promise. Leah Palmer (Ph.D. candidate, University of Wisconsin–Madison) described a last‑dollar college‑aid program concentrated at a commuter campus; board members asked for program detail (eligibility, whether transfer students are covered). Palmer confirmed the program is last‑dollar and agreed to add a short descriptive paragraph and to request p_attend, demog, and p_graduate files.
- Several proposals used current Texas policy changes as natural experiments. Justine (Ph.D. candidate, UC Berkeley) and others outlined plans to study the SB 21‑24 mandate expanding access to 8th‑grade algebra and to measure downstream course taking and achievement; those proposals won approval after discussion of data limits (honors identification, which tests and grades to include).
Across multiple proposals the board repeatedly asked researchers to: (1) state more explicitly how each statistical method links to the research question, (2) narrow or document the exact TEA/CBM files requested, and (3) clarify FERPA exemption rationale. Staff and researchers agreed to add those details as amendments or in subsequent supplemental data requests. In a number of cases the board approved the project conditional on the researcher adding requested CBM files (for example, CBM OCS/OC8, CBM OC1/OC2) or clarifying how supplemental datasets would be used.
Representative quote: "My project aims to study how generative AI...has impacted college students' educational outcomes," researcher Bryce Davies told the board during Proposal 1. "This evidence can benefit Texas education policy," he said, acknowledging the board’s request to expand the purpose statement and add degree‑completion data.
The meeting closed after approving projects 1–15 listed on the agenda and the requested amendments; the board made a final motion to adjourn and voted to end the session. Staff noted they will work with approved researchers to finalize supplemental data elements and FERPA-exception documentation in follow‑up reviews.
Why it matters: The projects approved at this meeting draw on linked K‑20 and workforce records that can inform the state’s policy priorities—college access, course rigor, teacher preparation, and the impacts of new laws (for example, SB 21‑24). Several projects explicitly aim to produce policy briefs and practitioner forums to translate findings to districts and state policymakers.
The board will reconvene in its next scheduled cycle; staff will follow up with approved researchers to complete secondary data‑element reviews and to confirm precise file lists and FERPA exception justifications.
