Monitoring progress towards the Sustainable Development Goal for education (SDG 4) which aims to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all” is critical. With less than a decade to achieve SDG 4 it is imperative that countries have the means to track and measure their efforts so that steps can be taken to make the necessary changes for the future. 

At present, the global education sector has too many different metrics of success (SDG 4 has 43 indicators) which can make prioritisation challenging. In addition, current data sets on learning across countries tend to be incomplete, inconclusive and very difficult to benchmark against one another. 

Focusing on just a very few achievable indicators centred on foundational learning is suggested by some as a promising way to improve overall student learning outcomes and build effective and inclusive education systems. What should those indicators be and how can they be acted upon avoiding abstraction and over-complexity? How can learning data help build feedback loops to identify successes, areas of advancement and ultimately drive improvements in learning outcomes? What is needed to guarantee the quality, funding and analysis of this data so that it can serve a basis for reliable decision making? How can lessons from other sectors like health be adapted and transferred to education? 

The Financial Times, funded in part by the Bill & Melinda Gates Foundation, is delighted to host this webinar to discuss the key challenges faced in measuring and tracking learning outcomes. It will explore the call for a handful of reliable, regular data points for LICs/LMICS by 2030 and build a shared understanding on how to achieve the objective of data driven performance and accountability in education.

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