Building Evidence Systems to Integrate Implementation Research and Practice in Education - Ming

Oct 15, 2026

Education faces persistent and expanding inequities, increasing the urgency of improving practice alongside demands for stronger research use. The paper applies implementation science to analyze how adaptations, educator micro-decisions, and system-level strategies shape whether evidence-based practices work in real settings. It argues for evidence that covers implementation beyond adoption, clearer reporting standards, and better documentation of program “black box” components and warranted adaptations.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages14

Reading Time35 min

AccessFree to download

Suggested Citation

Applying implementation science to education

Understanding and managing variation

Implications

Building Evidence Systems to Integrate Implementation Research and Practice in Education Norma Ming Research, Planning, and Assessment, San Francisco Unified School District Building Evidence Systems to Integrate Implementation Research and Practice in Education Norma Ming Research, Planning, and Assessment, San Francisco Unified School District Suggested Citation: Ming, N. (2023) . Building evidence systems to integrate implementation research and practice in education. William T. Grant Foundation. AMID PERSISTENT AND EXPANDING INEQUITIES in education, the urgency of improving practice likewise grows, along with demands for better research use (ESSA, 2015) . As a field, we need to improve not just the quality of research evidence (Ming & Goldenberg, 2021), but also the quality of research use and the processes supporting effective implementation of evidence-based practices. Whether framedas a problem of practice or research use, understanding implementation is critical for identifying and redressing the inequitable distribution of resources, facilitators, and barriers in our systems, which give rise to disparities in student outcomes. Applying implementation science to education Analyzing education throughthelens of implementation science illustrates its potential for addressing fundamental challenges in education (Century & Cassata, 2016). Learning emerges from rapidly-changing experiences and high-intensity social interactions, which requires instruction to continually adapt. These adaptations vary in content and impact, possibly improving quality or undermining fidelity (Hill & Erickson, 2020; LeMahieu, 2011; O’Donnell, 2008; Penuel & Means, 2004) . The complex social dynamics in classrooms and schools further compound the variation: Teaching is “dense with discretionary spaces,” in which educators make hundreds of micro-decisions daily (Ball, 2018) . These decisions are mediated by how educators interpret them, emphasizing the importance of alignment between their conceptual understanding and the theory underlying the practice, to avoid misconceptions, biases, and inequities (Cohen, 1990; Jones & Wiliam, 2022) . Understanding and managing this variation requires moving one step back in the causal chain, as heterogeneity and adaptations occur not just on the level of“what works”for students (educational practices), but also on the level of “how to make it work”by educators and school systems (implementation strategies). Alongside staff quality and capacity, school success depends on other factors such as instructional systems, school climate, and community partnerships (Bryk et al., 2010) . These are further shaped by organizational models (Rowan & Miller, 2007), governance (Mitra, 2022), finance (Baker et al. 2014; Lafortune et al., 2018), and myriad policies around standards (Darling-Hammond 2004), certification (Cochran-Smith et al., 2015), data use (Marsh et al., 2006), school turnaround (Redding & Nguyen, 2020), and other factors. These strategies maybe provided in idiosyncratic combinations yet evaluated in isolation (or viceversa), complicating efforts to clarify which strategies are more effective under which conditions. Without a coherent understanding of the interplay across these multilevel strategies, we risk leaving educational improvement up to chance. Implications Applying implementation frameworks to improve education research and practice requires a shift in our approach to conceptualizing, producing, and using evidence. These span systems for data collection, evidence generation, and knowledge sharing. First, we need more evidence that extends beyond the adoption phase to encompass the implementation phase (Aarons et al., 2011; Moullin et al., 2015) . This applies to both guiding intended implementation and documenting actual implementation. Studies demonstrating evidence of impact may not include sufficiently detailed evidence about implementation, especially to support adapta

FAQs

Why does the paper emphasize implementation research and evidence use in education?

It highlights persistent and expanding inequities and argues that improving practice also requires better research use and stronger processes that support effective implementation of evidence-based practices.

How does implementation science help explain variation in educational practice?

It frames learning as shaped by rapidly changing experiences and social interactions, where educators’ interpretations and “discretionary spaces” lead to adaptations that can improve quality or undermine fidelity.

What evidence gaps does the paper identify, and what changes does it recommend?

It calls for evidence that extends beyond adoption into implementation, more detailed documentation of how programs are implemented and adapted, and reporting guidelines that set minimum standards for synthesizing and applying research.

Oct 15, 2026

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