Agile, expert advisory for education’s new frontiers.
HI THERE. WE’RE WOODSPRING ADVISORY.
We support global development partners, private foundations, and governments harness emerging technologies to dramatically improve education quality and learning outcomes across low- and middle-income countries.
Emerging technologies have opened new frontiers for transforming how children learn, how teachers teach, and how systems perform. But without the right framing, insight, and delivery models, that potential will go unrealised - especially in the most underserved contexts. We’re here to help our partners make sense of the landscape and turn promise into progress.
Our focus areas to provide maximum impact.
AI education landscape tracking & advisory.
Monitoring the rapidly evolving landscape of generative AI, assessment-informed instruction, and teacher-support tools. Cutting through the hype to identify innovations with genuine potential for scale in resource- and bandwidth-constrained environments.
Portfolio review and strategic positioning.
Conducting comprehensive assessments of existing education portfolios, analyzing current strategies against emerging opportunities in educational technology. Actionable recommendations for partners seeking to optimise their investments and capitalise on transformative tools while maintaining focus on core learning objectives.
Measurement and evaluation for AI & learning innovation.
Designing robust evaluation frameworks that capture both learning outcomes and cost-effectiveness across diverse contexts. Helping funders and implementers understand not just whether interventions work, but for whom, under what conditions, and at what cost—essential insights for responsible scaling decisions.
Foundational literacy and numeracy strategy support.
Drawing on global evidence and data-driven insights to support governments and funders in strengthening foundational learning systems. Integrating proven pedagogical approaches with strategic applications of digital tools, prioritizing sustainable, locally appropriate solutions.