MARATTO

article · Journal of MultiDisciplinary Evaluation

Complexity-Aware Evaluation for Learning: A Case Study of a Developmental Approach

20251 citationOpen accessRhodes University

Abstract

Background: Ongoing learning is vital for steering programs in complex social-ecological systems, because it enables implementers to change course when needed, and ideally contributes to system wide insights as well. While there are many calls and guidelines for complexity-aware and learning-centred monitoring and evaluation (M&E), there are fewer case examples of attempts to implement it in practice. Purpose: This paper reflects on a multi-year case of an attempt to design and implement a complexity-aware, developmental and learning-centred M&E framework in a complex socio-ecological landscape, highlighting the challenges, adaptations and evidence of learning. Setting: Olifants River Basin, north-eastern South Africa and southern Mozambique. Intervention: Resilience in the Limpopo (Olifants Basin) Program (RESILIM-O). Research Design: Participatory action-reflection research with data collection through document analysis, interviews and focus groups Findings: Learning among program implementers was facilitated by working in new ways with standard M&E elements including indicator-based targets and theories of change, and through opportunities for shared reflection, including novel reporting templates, reflection days, and collaborative case studies. Challenges notwithstanding, the participatory, developmental M&E approach built understanding of and competence in M&E in the organisation. The “hybrid” framework that evolved successfully combined the need for accountability with the desire for organisational learning; and associated features were subsequently adopted elsewhere.

Research topics

  • Complex Systems and Decision Making
  • Evaluation and Performance Assessment
  • Cognitive Science and Mapping

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.56645/jmde.v21i49.1107

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.