India: Making educational innovations scalable

Por: thehindubusinessline.com/Rohan Sandhu /11-04-2018

Demonstrated impact, cost-effectiveness, and the ability to work with the existing system are crucial

India is reported to have about 15 million NGOs in the education sector. Combined with the proliferation of social enterprises in recent years, the space for non-government education innovations is rapidly becoming a network of cottage industries, with interventions often reinventing the wheel and successful practices not being appropriately leveraged to address India’s learning crisis at scale.

Former US President Bill Clinton’s observation while reviewing school reform initiatives in the US may hold true for India as well: “Nearly every problem has been solved by someone, somewhere. The frustration is that we can’t seem to replicate (those solutions) anywhere else.”

Over the past year, however, India’s Ministry of Human Resource Development (HRD) has made significant efforts to identify NGO-led innovations around the country and create platforms for them to present to and engage with state education departments.

HRD Secretary, Anil Swarup, calling himself a “principal facilitator,” travelled across States to identify innovative models and organised five workshops to showcase such education innovations. “A government champion,” the Brookings Institution’s Millions Learning report finds, is often the “linchpin behind experimentation and greater participation in policy-making.”

Complex undertaking

But, while a government leader’s backing is crucial, scaling is a complex undertaking that comes with some fundamental questions, and the need to recognise that not all innovations are necessarily scalable. Experiences of a number of educational innovations point to factors that are critical for an innovation to be one that is scalable — demonstrated impact, cost-effectiveness, and the ability to work with the existing system.

At the outset though, the definition of “scaling” itself must be clarified. Key here is the question of what should be scaled — an intervention as a whole or some critical components. The Millions Learning report, studying a multitude of case studies, concludes that the process of scale requires that a balance be struck between the non-negotiable elements that are imperative to the success of a programme and must be replicated, and other elements that can be adapted as per specific requirements of individual contexts.

This portends the need for rigorous impact metrics or proof of concept, and the ability to disaggregate the outcomes generated by an intervention’s myriad elements. But, as Mary Burns writes, “educational projects do not undergo the kind of meaningful or rigorous impact evaluations that determine whether they are indeed worthy of being scaled.”

A survey of about 40 technology-based education innovations in India corroborates this. While most innovations report their reach, information on their outcomes is seldom available. This, though, is linked to a larger systemic challenge — the absence of a universal assessments or monitoring framework, because of which there is no common benchmark against which outcomes across different models may be evaluated and compared. It is critical that this gap is addressed before innovations are scaled based on personal relations and adhoc decisions instead of well-defined impact metrics.

Apart from delivering impact, for a country like India, models that seek to scale must also do so in a cost-effective manner. As Venkatesh Malur, who led Sampark Foundation’s Pedagogy Framework — reaching over 2.8 million children studying in 46,000 primary schools in India — summarised inAccelerating Access to Quality Education that Subir Gokarn and I co-edited a few years ago, “There is a need to prioritise frugal innovations in classroom transactions and work in sync with the existing system that will leverage the existing teachers, systems, and infrastructure.”

In line with Malur’s point on frugality, Sampark’s Smart Class Kit costs one dollar per child per year. Other innovations which have attempted to scale reinforce this. Gyan Shala, which scaled its operations in Ahmedabad, Gujarat, to cover schools in West Bengal, Bihar, and Uttar Pradesh, operates with a total cost of education per student amounting to 3,000 per year. The Bharti Foundation’s schools similarly seek to deliver education at a rate that is lower than the government school system, so that they may be easily replicated by the latter.

In a similar vein, models that are able to scale must be able to operate within the constraints of the existing system, with the current set of teachers, school leadership, and government machinery. Often, social enterprises and NGOs, in an attempt to see some quick successes, actively avoid engaging with governments and teachers.

But if they wish to scale, such an attitude can prove deleterious. In several cases, pilots succeed in specific contexts with favourable conditions, but fail without these. In Kenya, for instance, limited understanding of public sector and political economy constraints prevented a contract teacher programme that was able to raise students’ test scores when implemented by an NGO, to show the same positive outcomes when implemented at scale by the government.

Studies attribute this difference to the “lack of attention to the interaction between the intervention being tested and the broader institutional context.” Ark, which designed a School Quality Assessment framework for 120,000 schools in Madhya Pradesh, sought to create a product that had government ownership from the very beginning and was “delivered with existing public sector capacity, rather than being dependent on a major skills upgrade” (Accelerating Access to Quality Education).As an innovation scales, partnering with the government system to build its capacity becomes even more critical since scaling is not just a straightforward process of replication, but a more complicated one of adaptation. Binswanger and Aiyar (2003) recommend real-time process-monitoring that provides “continuous feedback that enables the scaling-up process to constantly be improved.”

Given the state’s institutional capacity constraints, Malur writes how Sampark works “hand-in-hand with the state machinery,” providing support and strengthening it. Teachers, too, are provided constant support through continuous trainings, frequent visits from Sampark’s coordinators, and a helpline that is available at all times. On a related note, innovators must be flexible and open to deviating from their initial model. Ark’s SQA design underwent at least four changes over just one year based on constant testing. “The team rapidly discovered that their original ‘premium’ design was too complex for operating in the contexts, and with the resources, available.”

Ultimately, the success of scaling hinges upon a productive partnership between the innovation and the government and teacher system. This is a partnership that must be established at the very outset — embedded in the core design of the model — and one that needs to be deepened as the innovation is scaled up.

Remedial measures

Finally, the quest to scale should not cause us to ignore some fundamental issues. Several innovations — like remedial programmes — have actually cropped up in response to the challenges imposed by flawed policies. Scaling educational innovations is a worthy endeavour, but it is crucial that we don’t replicate band-aid solutions, while ignoring deeper malaises.

Additionally, it isn’t enough to think of innovation as being the domain of just NGOs and social enterprises. The narrative about the top-down centralised nature of the Indian education system that gives little agency to teachers, school leaders, and frontline administrators, is well-established. While there is undoubtedly a rich supply of innovations outside this system, the demand to adapt and scale these will only be amplified and made more organic if last-mile functionaries and implementers are given the time and space to deviate from the rigidities of the current governance framework.

The writer is an Associate Director at the International Innovation Corps, University of Chicago. This article is by special arrangement with the Center for the Advanced Study of India, University of Pennsylvania

*Fuente: https://www.thehindubusinessline.com/opinion/columns/making-educational-innovations-scalable/article23495239.ece

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6 key insights into the data and information education leaders want most

Por: brookings.edu/21-02-2018

When data advocates promote evidence-based decision-making in education systems, they rarely specify who the intended users are, for what purpose, and what kinds of data are needed. The implicit assumption is: by everyone, for everything, and any data.

But since collecting, processing, and communicating data require substantial resources, it is prudent to assess whether data produced are indeed accessible and valuable to key decision-makers. Surprisingly little systematic research exists on the types of information education decision-makers in developing countries value most—and why.

In a new report, Toward data-driven education systems: Insights into using information to measure results and manage change, the Center for Universal Education at the Brookings and AidData offer insights to those very questions. We analyze the results of two unique surveys that asked education policymakers in low- and middle-income countries about their use of data in decision-making. Survey participants included senior- and mid-level government officials, in-country staff of development partner organizations, and domestic civil society leaders, among others. (For more details on the surveys, see page 18 in the report.)

The report aims to help the global education community take stock of what information decision-makers actually use and offer practical recommendations to help those who fund and produce education data to be more responsive to what decision-makers want and need. We summarize the findings below:

Finding 1: Having enough information is seldom the decisive factor in making most education decisions; instead, decision-makers desire to have sufficient government capacity.

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Enacting education policies, changing programs, and allocating resources are complex decisions that demand weighing multiple factors, such as having sufficient capacity and financial resources, having enough information, and having the support of the public. So where do data and information fall within a decision-maker’s cost-benefit analysis?

We found that information is not as important as technical capacity, financing, and political support. Some decisions, however, depend more on having sufficient data and information, such as creating or abolishing schools or grades, and testing students. One possible explanation could be that leaders feel they need strong justification (via an evidence base) for these decisions which could become easily politicized.

Finding 2: Education decision-makers use evidence to support the policymaking process, for both retrospective assessment and forward-looking activities

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But while information may not be the most decisive factor in education decisions, its role is significant. We found that decision-makers in the education sector are more likely to use data and analysis as compared to other sectors (such as health and governance), including for forward-looking purposes, such as design and implementation of policies or programs, as well as retrospective assessments of past performance. As shown in Figure 2, most education sector decision-makers (over 70 percent) report using data or analysis fairly consistently throughout the policymaking process.

Finding 3: Education decision-makers most often use national statistics from domestic sources and program evaluation data from international sources.

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Decision-makers overwhelmingly rely on national statistics from domestic sources and program evaluation data from international organizations. The high use of national statistics points to the salience of such data for each country, including, for example, dropout rates for primary school students by district or municipality, the number of schools providing secondary education in each village, or pupil-teacher ratios in urban vs. rural areas.

Finding 4: Education decision-makers consider administrative data and program evaluations most essential, and want more of the latter, signaling a gap between need and supply.

cue_data-driven-education_table1

We asked leaders about their wish list—what types of information would they want more of? We found that those who allocate and manage resources place a premium on administrative data (e.g., number of schools, teachers, students) and government budget and expenditure data (e.g., school-level budgets, expenditure per student). Meanwhile, those working on personnel management need teacher performance data, whereas leaders tasked with overseeing instructional matters need program evaluation data and student-level assessment data. Given respondents’ wish lists, we identified four opportunities for data producers to respond to unmet demand: (1) program performance and evaluation data; (2) budget and expenditure data; (3) student-level assessment data; and (4) teacher performance data.

Finding 5: Education decision-makers value domestic data that reflect local context and point to policy actions, and improving the timeliness and accessibility of information will make it more helpful.

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Having identified some of the gaps that exist in meeting the needs of education decision-makers, we asked what producers and funders of data should do better or differently to meet the data demands. Leaders said that data from both domestic and international sources were most helpful when they provide information that reflects the local context. They also viewed information from international sources as most helpful because it provides policy recommendations (43 percent) and is often accompanied by critical financial, material, or technical support (36 percent). Leaders viewed domestic data as helpful when it was available at the right level of aggregation, as well as timely, trustworthy, and insightful.

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When asked what improvements producers could undertake to make data more valuable, respondents suggest improving the timeliness and accessibility, as well as improving data disaggregation, accuracy, and trustworthiness. The respondents requested data from the national government, in particular, to be more accessible and disaggregated.

Finding 6: Decision-makers strongly support strengthening their countries’ education management information system (EMIS) to bolster their education data ecosystem.

cue_data-driven-education_figure6

Beyond finding general areas of improvement for education data, we also asked respondents to rank a list of specific solutions. Respondents largely agreed on the seven solutions proposed, rating all of them as “extremely important”, on average. But of the seven solutions, the recommendation to strengthen the EMIS within the education ministry resonated with the highest number of respondents.

Moving from data generation to impact

The path from data generation to impact is not simple, automatic, or quick. The seemingly straightforward story of information supply, demand, and use is complicated by users’ norms (how they prefer to make decisions), relationships (whom they know and trust), and capacities (their confidence and ability to turn data into actionable insights). The process of moving from data generation to use and, ultimately, to impact on education outcomes must also take into account the different institutional environments (i.e., political context) that may incentivize or dampen efforts to make decisions based upon evidence.

Most essentially, though, investments in data creation must be matched by an equal (or greater) emphasis on increasing the use of evidence by decision-makers, built from a strong understanding of what data and information they use, value, and want. Understanding why education decision-makers and influencers do not notice, value, or use data that are produced by their own statistical agencies or by international organizations deserves more attention than it has received thus far.

*Fuente: https://www.brookings.edu/blog/education-plus-development/2018/02/20/6-key-insights-into-the-data-and-information-education-leaders-want-most/

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