In the context of school connectivity, mapping indicates which schools are online, and their proximity to key infrastructure inputs such as optical-fibre and electricity. This in turn enables countries to properly scope and design their solutions, choose effective business models and prepare appropriate budgets. Mapping is critical to ensure that the request for proposals leads to an evidence-based selection of technical partners.
Effective mapping requires:
Countries should where possible document and measure the information in the following tables at the outset of the project, and then periodically. The best way to do this is via mapping / GIS, which provides a good visual analysis of the situation and the gaps. There is a need to map (1) infrastructure; (2) socio-economic baseline data; and (3) forecasts/ scenarios.
While it is tempting to jump into the design and development of a digital learning ecosystem, taking the time to gather information about the number of schools that need to be connected, their location, their general and the individual needs is a critical step to ensuring that a programme will meet the needs of all schools and students. Public consultation on this research is important to understand future roll-out plans, socio-economic issues and any other local nuances, and to get buy-in.
Example stakeholder groups to engage
Baseline research, where possible combined with scenario planning and complemented by mapping, forms the basis for the school connectivity programme. It provides guidance on programme minimum requirements, and how to address potential biases or preconceived notions that may exist. Without a needs analysis, the solution will not be evidence-based and therefore may not be directly relevant to the challenges or gaps that exist on the ground.
Once the information about coverage and infrastructure has been mapped, and the associated socio-economic context understood, key decisions about the nature of the school connectivity programme and its beneficiaries can be taken. Coverage does not imply connectivity and as such once coverage is established, answers will be needed:
The coverage gap decision tree below sets out the various scenarios that could arise from baseline research and mapping.