R4D’s Collaborative Learning approach convenes change agents to engage in peer-to-peer learning to jointly problem solve, co-create knowledge and tools, and adapt that knowledge to their specific contexts to address shared challenges of common interest. The approach centers change agents’ expertise and captures the valuable tacit knowledge of practitioners to advance systems change.
R4D’s portfolio of Collaborative Learning Networks has grown and diversified in response to strong country demand. As a result, the need to evaluate Collaborative Learning, to measure its contribution to impact and continually adapt and improve the approach has emerged.
R4D and Collaborative Impact have developed and piloted the Collaborative Learning Measurement & Learning (M&L) Framework to measure, learn from and adapt R4D’s Collaborative Learning Network initiatives.
This framework aims to:
- Facilitate open reflection and learning about what works well (and what does not) across Collaborative Learning Networks, with a focus on improvement.
- Generate robust and credible evidence on Collaborative Learning Network performance and contribution to impact.
- Demonstrate the value of Collaborative Learning Networks to participants, funders and global development practitioners.
- Contribute to a global body of knowledge that highlights Collaborative Learning as an effective enabler, catalyst and accelerator of localization and systems strengthening.
To view the Framework PDF online, click here.
To learn more about designing and facilitating Collaborative Learning Networks, visit the Collaborative Learning Toolkit.
Acknowledgements:
This resource was co-created by Collaborative Impact and Results for Development (R4D) with funding from the Hewlett Foundation. It was piloted with the Linked Immunisation Action Network (Linked) and the Strategic Purchasing Africa Resource Centre (SPARC) networks in 2022-2023. We extend our gratitude to all individuals involved, including staff from R4D and technical facilitation partners, country-level stakeholders and donor agencies. In particular, we would like to thank the Linked and SPARC leads, the late Annette Ozaltin, Elizabeth Ohadi, and Agnes Munyua, and their respective M&L focal points, Seyni Mbaye and Chloe Lanzara, as well as their partners at Amref and Curatio International Foundation. Their efforts in creating the time and space within their schedules for the piloting was pivotal in transitioning from concepts to practice. Their efforts have provided invaluable insights for strengthening M&L for Collaborative Learning Networks.
