From Extraction to Authentic Dialogue: Insights from Participatory Case Studies & the DATA-DATA Model in Evaluation

• In Event: Ethical Engagement, STEM Programs, and Application of Machine Learning Techniques in Evaluation Research

Abstract

This paper shares our methodological experience implementing participatory action research (PAR) case studies, guided by the DATA-DATA reflective model, to support DEI-focused evaluation in STEM education. Through collaborative reflection sessions structured around the DATA-DATA cycle (Describe–Analyze–Theorize–Act), teams surfaced entrenched challenges, unpacked assumptions, and co-developed action plans responsive to their institutional realities. Our experience demonstrates how PAR and structured reflective facilitation enabled movement beyond conceptual DEI commitments toward context-specific strategy. We argue that participatory case studies, paired with the DATA-DATA model, offer a promising approach for evaluators working within complex, politicized STEM program environments.

Authors

• Tiffany Lee Smith Tovey, University of North Carolina - Greensboro

• Ayesha Boyce, Arizona State University

• Neelakshi Rajeev Tewari, Arizona State University