Deepspatial

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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 declining in recent years.
  • There is a lack of understanding of the contributing factors to the decline.
  • Data for the past two years has been affected by Covid-19 and requires validation.
  • Validation is also needed for data related to demographics, healthcare, occupation, and other factors.
  • The current data is not up to date for these categories.
  • Collection of data from schools located in remote areas poses challenges due to the district’s remote nature.

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 enabled policy and decision makers to utilize evidence-based, data-driven insights.
  • The platform helped identify, analyze, predict, and prescribe measures for positive change in the district.
  • Deepspatial’s insights were used to understand the current situation and plan various aspects of the education department.
  • Planning included factors such as teachers, school infrastructure requirements, school locations, school accessibility, CAR (Classroom to Academic Staff Ratio), SCR (Student-Classroom Ratio), PGI (Pupil-Teacher Ratio), and other important factors.
  • The platform aimed to improve spending efficiency and governance in the education department.
  • The goal was to achieve a considerable and measurable improvement in the students’ pass percentage in the district.