Welcome to the Knowledge Center, an online resource for CSU faculty, staff, and administrators. The Knowledge Center provides curated, synthesized, and succinct information and links to support CSU middle leaders in adopting equity-minded and student-centered approaches on their campus.
The Network is now accepting submissions of equity-focused literature from the field for inclusion in the Knowledge Center. If the document is available online, please send the link and if it meets our criteria we will post the link. If the document is not yet available online, please send a pdf and if it meets our criteria we will post the pdf.
Criteria for Literature From the Field Submissions
Topic
- The article* addresses an intervention or approach to improving equitable student outcomes; explores success strategies for minoritized student groups in the CSU (e.g., Black students, transfer students, students experiencing homelessness); OR explores pedagogical approaches that improve equitable student learning.
-AND/OR-
- The article explores equitable policies relevant to the CSU context (e.g. developmental education reform, Grad2025).
Source
- Acceptable sources:
- Peer reviewed journal article
- Working paper or report from a university or non-partisan research organization
- Unacceptable sources:
- Reports and papers from advocacy organizations, government offices, or political offices
- Internal college reports
Rigor/Quality
- The article clearly documents its research questions, data sources, and participant/subject composition.
- For quantitative studies, this includes noting sample sizes, participant demographics, sources of data, and theorized outcomes/hypotheses.
- For qualitative studies, this includes describing research questions, recruitment practices, types of data collected, sample sizes, and participant demographics.
- The article engages in systematic data analysis, and documents methods with enough detail that a reader could replicate the approach and/or assess the trustworthiness of findings.
- For quantitative studies, this includes describing analytic methods (e.g. regression analysis, propensity score matching), strategies to mitigate selection bias (e.g. control variables used), and statistical models as appropriate.
- For qualitative studies, this includes describing coding or other analytic approaches; efforts to ensure validity of findings; documented logic chains; efforts to contextualize findings and account for possible alternate explanations.
The article clearly describes limitations of the study and, as appropriate, attempts to mitigate those limitations.
Submissions will be approved/denied at the Network’s discretion.
*The term article includes briefs and reports that meet the criteria described.
The Network reserves the right to publish materials at its discretion.