By Silvia Montoya, Director of the UNESCO Institute for Statistics and Jordan Naidoo, Director of the UNESCO Division for Education 2030 Support and Coordination
This blog was also published by the Global Partnership for Education (GPE).
In 2015, the international community agreed on Sustainable Development Goal 4 (SDG 4), which now forms the universal education agenda to 2030. Many countries still have a far way to go to reach these targets, and to do this, they will need external support to overhaul their education systems. There are two dimensions at stake to achieve SDG 4: identification of policy priorities and the associated data availability and quality to monitor progress.
One example described in this blog is the effort of UNESCO’s Education Sector and the UNESCO Institute for Statistics (UIS) in implementing a SDG 4 pilot initiative in ten countries as part of the UNESCO Capacity Development for Education (CapED) Program. The SDG 4 pilot initiative is an ambitious and innovative initiative aimed to help bridge the gap between national education policies and data collection and use.
CapED supports countries in their efforts to develop national capacities to integrate SDG 4 commitments into national education policy and management. The first component of the pilot initiative, which reviewed national plans and policies in light of SDG 4 commitments has been completed. Now, the second component, which focuses on strengthening national capacities to improve monitoring progress on SDG 4, is ready to be rolled-out.
The ten pilot countries are: Afghanistan, Cambodia, Democratic Republic of the Congo, Haiti, Mali, Madagascar, Mozambique, Myanmar, Nepal and Senegal. All of them with the exception of Myanmar are also partner countries of the Global Partnership for Education.
Training materials and tools
Training materials and tools developed in the preparation phase of the SDG 4 pilot initiative include:
– A template to report on data sources and possibilities of disaggregation;
– A set of frameworks (DQAF) to assess the quality of different data sources (administrative data, expenditure data (private and public), household survey data and learning assessment data); and
– Guidance to improve processes with a focus on good practices in learning assessments and household surveys to guide efforts and resource allocations.
Building country ownership: Learning by doing together
The CapED SDG 4 pilot initiative follows a ‘learning by doing’ process that uses simple, flexible tools that can be adapted to specific contexts. A participatory process to build consensus is the necessary next phase, which will see national teams being trained to use the tools during the second semester of 2017.
This training will prepare the ground for the final recommendation phase, which will enable national teams to prepare action plans for capacity development and roadmaps (such as their NSDES). A knowledge-sharing mechanism, namely a dedicated National Expert Group on Education Data (NEGED), will be established in all participating countries as a space for dialogue between government and partners to improve support, avoid duplication of effort and reduce transaction costs.
Priorities differ from country to country and thus the NEGED serves as an important tool to align national and international needs.
The focus of the NEGED in Madagascar, for example is on improving age-related data to better evaluate whether children are starting basic schooling on time and making the transition to higher grades and levels. The country has also identified pressing needs for more data on early school leaving and second-chance or remedial programmes, on technical and vocational education and training, and on higher education.
The first training sessions will take place in Cambodia from 31 July-4 August 2017 and in Mozambique on 7-8 August 2017, followed by sessions in the other eight countries.
The CapED SDG 4 pilot initiative will set the tone of working with, rather than against, national contexts and builds on UIS’ experience of working collaboratively with national actors on data gathering and analysis.