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QGIS Planning for Education Training Course
Course Overview
QGIS Planning for Education Training Course is designed to equip education professionals, education planners, monitoring and evaluation specialists, researchers, school administrators, university managers, policymakers, GIS analysts, project managers, and development practitioners with practical knowledge and advanced skills in applying Quantum Geographic Information System (QGIS) for education planning, spatial analysis, school mapping, infrastructure planning, resource allocation, institutional performance monitoring, and evidence-based decision-making. As ministries of education, universities, schools, NGOs, donor agencies, and international development organizations increasingly embrace Geographic Information Systems (GIS), Education Management Information Systems (EMIS), Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Sustainable Development Goal 4 (SDG 4), digital transformation, educational planning, spatial data analysis, institutional quality assurance, education research, infrastructure management, educational accessibility analysis, and evidence-based policy formulation, QGIS has become one of the leading open-source geospatial platforms for education management. This course enables participants to integrate spatial intelligence into education planning and improve equitable access to quality education.
The course provides participants with practical experience in geospatial data management, spatial database development, school mapping, education facility analysis, demographic analysis, accessibility modeling, catchment analysis, spatial statistics, thematic mapping, geoprocessing, remote sensing integration, GPS data collection, education infrastructure planning, disaster risk mapping, environmental assessment, and spatial decision support systems. Participants will learn to integrate QGIS with Education Management Information Systems (EMIS), Learning Management Systems (LMS), Microsoft Excel, Microsoft Power BI, SurveyCTO, KoboToolbox, Open Data Kit (ODK), R, Python, PostgreSQL/PostGIS, satellite imagery, GPS devices, and cloud-based GIS platforms to support school location planning, learner distribution analysis, teacher deployment, infrastructure development, education project monitoring, and donor-funded education initiatives.
Participants will further explore advanced concepts including geospatial artificial intelligence, spatial machine learning, predictive spatial modeling, education accessibility analysis, geostatistics, digital cartography, cloud GIS, web mapping, education data governance, institutional benchmarking, organizational learning, policy simulation, climate resilience planning, and smart education systems. Practical exercises demonstrate how QGIS improves education planning, strengthens monitoring and evaluation systems, enhances donor reporting, supports accreditation, optimizes resource allocation, and enables evidence-based educational policy through high-quality spatial analysis and interactive geospatial dashboards.
Through instructor-led workshops, practical GIS laboratories, live demonstrations, field GPS exercises, collaborative mapping projects, and comprehensive education case studies, participants will gain hands-on experience in developing, managing, analyzing, and visualizing education geospatial information using QGIS. Upon successful completion of the course, participants will possess the competencies required to strengthen education planning through geospatial intelligence, improve education monitoring and evaluation systems, support Results-Based Management, enhance institutional performance, optimize education resource allocation, and contribute to improved educational outcomes across ministries of education, universities, colleges, schools, NGOs, research institutions, and international development organizations.
Course Objectives
Organizational Benefits
Target Participants
Course Outline
Module 1: Introduction to QGIS for Education Planning
Case Study: Developing a GIS framework for national education planning.
Module 2: Spatial Data Management
Case Study: Creating a geospatial database for all public schools within a district.
Module 3: GPS and Field Data Collection
Case Study: Collecting GPS coordinates for schools lacking accurate location records.
Module 4: Map Design and Cartography
Case Study: Producing national education infrastructure maps for policy planning.
Module 5: Spatial Analysis for Education
Case Study: Identifying underserved communities located beyond acceptable travel distances to schools.
Module 6: Education Infrastructure Planning
Case Study: Selecting optimal locations for constructing new secondary schools.
Module 7: Remote Sensing and Satellite Imagery
Case Study: Assessing school expansion opportunities using satellite imagery.
Module 8: Data Visualization and Dashboard Development
Case Study: Developing GIS dashboards to monitor school enrollment and infrastructure distribution.
Module 9: Monitoring, Evaluation, Accountability and Learning (MEAL)
Case Study: Monitoring donor-funded school construction projects using GIS and spatial indicators.
Module 10: Advanced Geospatial Analytics
Case Study: Predicting future education infrastructure demand based on demographic growth.
Module 11: Artificial Intelligence and Smart GIS
Case Study: Applying AI-powered geospatial analysis to optimize teacher deployment across regions.
Module 12: Future Trends in GIS for Education
Case Study: Designing an integrated national education geospatial intelligence platform combining QGIS, EMIS, GPS, satellite imagery, Artificial Intelligence, Microsoft Power BI, cloud GIS, predictive spatial analytics, and real-time dashboards to strengthen education planning, institutional performance, resource allocation, accessibility analysis, accountability, and achievement of Sustainable Development Goal 4.
General Information