Capitalizing on the Learning Potential of Intentional Networks to Advance Leadership for Equity.
Title Capitalizing on the Learning Potential of Intentional Networks to Advance Leadership for Equity Div A Section 3 - District Improvement Authors: Brooke Fousek, Yu-Yuan Huang, Daniella Molle, Yi-Hwa Liou, Aziz Awaludin, Christopher Saldaña, Joshua Childs. Abstract This study examines how intentional networks–collaborative partnerships designed to address complex challenges–expand school districts’ capacity to promote equity-centered leadership. Guided by social network theory and extant literature on relational structures, we thematically analyzed 25 semi-structured interviews with central network actors. Findings identified conditions that facilitated and constrained the network’s potential to promote district learning and change. A shared equity vision, trusting relationships, and structured opportunities for collaboration supported systems-level change, while limited partner engagement, deliverable-driven priorities, and capacity constraints hindered progress. Central actors played a critical role in fostering trust, aligning efforts, and promoting accountability. The study highlights how network design and relational dynamics shape efforts to advance equity-focused leadership in complex educational systems.
Authors
- Yihwa Irene Liou (ORCID: https://orcid.org/0000-0001-8821-7113)
- Joshua Childs (ORCID: https://orcid.org/0000-0003-4181-0360)
- Aziz Awaludin (ORCID: https://orcid.org/0000-0002-4534-5913)
- Yuyuan Huang (ORCID: https://orcid.org/0009-0005-3406-4875)
- Christopher Saldaña
- Molle Daniella
- Brooke Fousek (ORCID: https://orcid.org/0009-0002-4585-714X)
Institutions
- National Academy of Education (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-10
- DOI
- https://doi.org/10.5281/zenodo.19916824
- Primary Topic
- Teacher Education and Leadership Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00