Evidence-Based Evaluation for the Future of STEM:
Bridging Data Science, AI Literacy, and Educational Equity


Leveraging three decades of Stanford-trained expertise
to measure impact in rapidly evolving technological landscapes...

....We help research teams interpret complex results — not just produce them

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Haynie Research & Evaluation helps research teams, institutions, and funders understand

• Why promising interventions succeed in some settings and fail in others
• What outcomes actually indicate meaningful learning
• How participation pathways form and persist
• How evidence must change when technology and intelligent tools participate in thinking

Where We Add Value

• Clarifying what outcomes actually mean
• Identifying why implementation varies across sites
• Interpreting mixed or unexpected results
• Anticipating scale-up challenges

For decades we have evaluated complex educational initiatives in computing and STEM. 
Today, we extend that work to emerging questions about AI-augmented learning, human-AI interaction, 
​and the future of evidence in education.

​Core Research and Evaluation Services 

• Independent Program Evaluation
• Research and Study Design
• Mixed-Methods Analysis
• Knowledge Translation

Emerging Evaluation Areas   

• AI-Augmented Learning Evaluation
• Evaluation of Educational Innovation & Scale-Up
• Evidence for Technology-Mediated Learning
• Longitudinal Participation & Pathways Research