Enabling Conditions Collaboratory


The Enabling Conditions Collaboratory (ECC) brought together four LER-supported research teams to work towards understanding the conditions that support high-quality project-based learning (PBL):

Using Coburn’s (2003) framework for reconceptualizing “scale”, the ECC examined depth, sustainability, spread, and shift in ownership within their implementation efforts. Throughout this sustained collaboration, ECC teams engaged in activities to aggregate knowledge across projects in order to identify commonalities and variations in the enabling conditions that support implementation of PBL.

By design, three of the project teams were led by junior scholars (postdoctoral scholars or advanced graduate students) with mentorship by a more senior member of their research team. The fourth project, Knowledge in Action Validation, had one senior team member.

Principal Investigator:

Ashley Potvin & Allison Boardman (University of Colorado Boulder)
Emily Adah Miller & Leema Berland (University of Georgia, University of Wisconsin-Madison)
Rachel Kuck, Zachary Hermann, Sarah Kavanaugh, Chris Pupik Dean (University of Pennsylvania)
Anna Saavedra (University of Southern California); Britte Haugan Cheng & Tiffany Lee Clark (Menlo Education Research)

Year of Funding:


Related Publications

Mapping Enabling Conditions for High-Quality PBL: A Collaboratory Approach

Potvin, A. S., Miller, E. A., Kuck, R., Berland, L. K., Boardman, A. G., Kavanagh, S. S., Clark, T. L., et al. (2022). Mapping Enabling Conditions for High-Quality PBL: A Collaboratory Approach. Education Sciences, 12(3), 222. MDPI AG.

This paper explores enabling conditions for scaling high-quality project-based learning (PBL) to understand factors that influence how PBL spreads, whether and how it can be sustained and the extent to which it informs meaningful change in schools. We report on a year-long collaboration across three research projects. Each project team analyzed qualitative data from their individual project and then aggregated data across projects to understand similarities and variations in conditions that support the long-term implementation goals of PBL.