Advancing AI, Measurement, and Assessment System Innovation initiative aims to:

• elevate opportunities for joint efforts to develop and harness best practices in assessment, measurement, AI, and data;

• ensure that design, technology, and policy innovations better serve the needs of students, workers, educators, families, and society; and 

• deepen partnerships among leading public and philanthropic funders to strengthen a shared understanding of high-leverage approaches for data, AI, and measurement and assessment system R&D. 

 

The following case studies and exemplars explore new approaches to quality, measurement, and learning by focusing on four critical themes:

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1. Innovating For Whom We Measure: Assessments must be redesigned to center the needs of learners, educators, and families. 

2. Innovating What We Measure: We must capture a more holistic vision of the skills and knowledge learners need. 

3. Innovating How We Measure: To measure what matters most, we must unlock new advances in measurement, AI, and technology.

4. Upgrading Quality & Explainability: In the age of AI, we must upgrade outdated criteria for quality. 

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