How we work

Measure

Making competence visible through technology

We measure competence at two levels. At the programme level, we design evaluation frameworks that track whether 21st-century competencies are being developed across cohorts and sites. At the individual level, we are now delivering our AI-powered assessment engine — technology that analyses learner submissions and generates competency-based skills reports.

This makes competence visible, understandable, and trusted — for learners, teachers, systems, and employers.

System shifts

Impact measurement

moves from counting activities to evidence-based competency outcomes that show where programmes are working and where gaps remain.

Learning design

moves toward project-based, integrative tasks because these can now be recognised as powerful developers of 21st-century skills.

Case Study

A group of students and educators gathered around a table with a robotics project and colored markers in a classroom.

UNICEF Girls in STEM Action Research

In partnership with UNICEF South Africa, we are conducting action research to evaluate the effectiveness of the Coding and Robotics pilot programme in enhancing STEM skills among participating girls. This research measures:

Changes in girls' coding proficiency and robotics skills throughout the programme
The impact of programmatic involvement on STEM subject choice
Key success factors and challenges in addressing gender-based barriers in STEM education
Insights for scaling gender-inclusive STEM education practices

This kind of programme-level measurement is now being complemented by our AI Assessment Engine, which measures individual learner competencies.

Partner with us

Whether you are a government department, development agency, foundation, corporate, or school network, we are ready to work with you.