Education
Background
An education department wanted to understand the various factors affecting the passing rates of secondary education students in Government and Government aided schools. The department had multiple data sets which provided information about the infrastructure, teachers, schooling parameters and other relevant learning modules. Deepspatial proposed a project for the decision-makers of the district, that would provide data-driven insights to optimize the curriculum and improve access to education with the goal of improving the passing rate of students in the district.
Challenges
The passing percentage of students in secondary education has been on the decline for the past few years. There are many factors which contribute to the decline and there was no method for clearly understanding why. Additionally, there was a lack of data. Since Covid-19, the data for the last 2 years had been affected and needed validation. Apart from the educational factors, data for other demographics, healthcare, occupation, and other factors, further validation was needed as the current data was not up to date. Lastly, being a remote district, many of the school locations were in remote areas and collecting data from each school posed its own challenges.
How Are We Making An Impact
Data was collected from multiple sources and mapped onto the Deepspatial platform which uses applied research, artificial intelligence, and geospatial technologies to analyze and identify the educational, infrastructural, health, demographics and environmental factors that affected the performance of students. The Deepspatial platform correlated more than 1200+ data variables with the spatiotemporal features using Deepspatial’s patented AI engine. Decision makers now have access to the Platform that allows them to visualize what’s happening, why it’s happening, and what to do about it.
Visible Outcomes
Deepspatial’s platform helped identify, analyze, predict, and prescribe measures that empowered the policy and decision makers using evidence-based, data-driven insights. Using the Deepspatial platform, they were able to understand the current situation, and how implementing Deepspatial’s insights can lead serious positive change in the district. The Deepspatial platform helped in planning (including teachers, school infrastructure requirements, school locations, school accessibility, CAR, SCR, PGI, and any other important factors), spending efficiency and Governance for the education department ensuring that there is a considerable and measurable improvement in students’ pass percentage of the district.