What We Do Monitoring, Evaluation and Learning
Data can inform effective decision-making that targets resources and activities around key drivers of improved access to quality education. Yet almost no significant data sets exist on a meaningful scale for affordable non-state schools in low-income communities.
The EduFinance Monitoring, Evaluation and Learning (MEL) team is working to change this and leverage the power of big data to get more children into better schools.
EduFinance Monitoring, Evaluation & Learning
Data is central to EduFinance’s work. Our MEL Team harnesses the power of data to drive better service delivery to financial institutions, schools, parents, and donors. By organizing this data into databases and through rigorous analysis and monitoring results, we can identify key areas of success, points for improvement and generate new ideas efficiently, while also sharing our knowledge.
MEL plays a critical in EduFinance’s ability to drive impact by:
- Providing a holistic picture of our partner interactions across multiple touch points by maintaining an integrated database
- Institutionalizing EduFinance program knowledge, capturing accessible data over the life of the program
- Identifying learnings through robust data analysis, which highlight key drivers of impact, inform our decisions, and enable us to continually improve of program content and delivery strategies
- Sharing our deep knowledge and best practices with partners across the sector, working to build capacity that ultimately benefits education access and quality
EduFinance Data Management Framework
There are data collection touchpoints across all of our program teams and partners ensuring the MEL Team can support them effectively. This data is used to track activites and outputs, as well as measure outcomes and impact.
Because of the high volume on data points collected, a comprehensive approach to data management is critical – from data collection to publishing.
Using Data to Support our Partners
As a fast-growing and dynamic organization, the EduFinance MEL team uses multiple survey tools to measure program performance and evaluate results. Combining this data allows us to analyze and optimize the impact of our program has on creating sustainable EduFinance portfolios and quality learning environments for children.
EduFinance also uses data to directly benefit our partners in real time, equipping them with analysis and information that empowers them to make informed decisions for their financial institutions, their schools and their own professional development.
EduFinance aims to empower Financial Institution partners to build productive, high-quality, and sustainable Education Finance portfolios.
To support this goal, Financial Institution partners submit monthly EduFinance loan portfolio data to the MEL team. The team then creates a monthly “EdPack” dashboard analysis that covers historical trends in portfolio outstanding, disbursements, risk, sustainability and impact and is presented in an easy-to-understand visual format, facilitating an on-going dialogue with the financial institution.
Using their EdPack dashboards, partners can make more informed decisions to leverage market opportunities and target more investments into the local education sector.
Other MEL support includes:
- EduFinance credit algorithm
- Market research data analysis
- Feedback survey analysis from financial institution staff training workshops
School leaders that are equipped with information on objective criteria for quality education and how their school compares can make informed decisions how to invest their time and resources to drive quality improvements.
Because EduQuality uses a blended-learning approach that includes tablet-based surveys linked to the MEL database, school leaders now have access to their school’s submitted program data available on their tablets for easy reference. This includes each school’s:
- Annual Pathways to Excellence school self-assessment scores on 18 domains of quality
- Annual school development plans for implementation
Collecting data digitally also enables the MEL and EduQuality teams to measure progress and impact at a country, regional and global level, focusing on finding additional improvements to further scale the program to reach more schools.
When teacher mentors have a clear understanding of their own levels of comprehension and confidence in best practice teaching techniques, they are empowered to drive their own professional development.
Mentors complete digital quizzes on comprehension and surveys on confidence levels by topic throughout their interactive training sessions that are submitted to the MEL database. Mentors can see their own scores and responses on their tablets in real time, guiding them to go back and further review specific techniques they have yet to fully master.
The MEL Team uses the same data to identify overall areas of strengths and weaknesses across mentor cohorts, sharing this analysis with the EduQuality team for ongoing program adjustments.