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SDG Monitoring Field Techniques for Education Training Course

Online Training Download PDF
How to Register Click View Schedule for your preferred location, select your training dates, then register as an individual, group, or online participant. You will receive an invitation letter and invoice promptly after submission.
Training Locations Kenya (Nairobi, Mombasa, Malindi, Kisumu, Nakuru, Nanyuki) · Tanzania (Dodoma, Zanzibar, Dar es Salaam) · Dubai UAE · South Africa (Pretoria, Cape Town) · Istanbul · Accra · Banjul more ▾
Groups & Payment Groups of 5+ receive one complimentary place — see group rates. Payment due at least 1 month before (Europe & Asia) or 2 weeks before (Africa programs).

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We run this course regularly across Nairobi, Mombasa, Kampala, Dar es Salaam, Kigali, Johannesburg, Dubai, Singapore, China and many more locations. The next intake dates will be published here shortly.

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SDG Monitoring Field Techniques for Education Training Course

Course Overview

SDG Monitoring Field Techniques for Education Training Course is designed to equip education professionals, monitoring and evaluation specialists, school administrators, university managers, education planners, policymakers, researchers, project managers, quality assurance officers, field supervisors, data collectors, and development practitioners with comprehensive knowledge and practical skills in planning, implementing, managing, and evaluating field-based monitoring systems for education programs aligned with Sustainable Development Goal 4 (SDG 4): Ensure Inclusive and Equitable Quality Education and Promote Lifelong Learning Opportunities for All. As ministries of education, universities, colleges, schools, NGOs, donor agencies, United Nations organizations, and international development partners increasingly emphasize Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Education Management Information Systems (EMIS), Sustainable Development Goal 4 (SDG 4), education indicators, educational research, institutional quality assurance, learning assessment, impact evaluation, education policy implementation, digital transformation, evidence-based planning, and organizational learning, effective SDG monitoring has become essential for measuring education progress, improving accountability, and supporting strategic decision-making. This course provides participants with practical field techniques for collecting, validating, analyzing, and utilizing SDG education data to improve educational outcomes.

The course provides participants with practical experience in SDG indicator frameworks, field survey design, education data collection, sampling methodologies, school assessments, classroom observations, learner assessments, household surveys, qualitative and quantitative research, mobile data collection, GPS mapping, GIS applications, education performance measurement, data quality assessment, dashboard development, reporting, stakeholder engagement, policy evaluation, and evidence-based education planning. Participants will learn to integrate Education Management Information Systems (EMIS), Learning Management Systems (LMS), SurveyCTO, KoboToolbox, Open Data Kit (ODK), Microsoft Excel, Microsoft Power BI, SPSS, STATA, R, Python, GIS, GPS technologies, cloud collaboration platforms, and business intelligence systems to monitor school enrollment, attendance, completion rates, learning outcomes, teacher effectiveness, education infrastructure, gender equity, inclusive education, and donor-funded education interventions.

Participants will further explore advanced concepts including SDG reporting frameworks, predictive analytics, artificial intelligence-assisted field monitoring, education data governance, digital field supervision, quality assurance, accreditation support, knowledge management, organizational learning, adaptive management, risk management, education business intelligence, policy simulation, strategic planning, and sustainable education development. Practical exercises demonstrate how robust field monitoring systems strengthen education monitoring and evaluation frameworks, improve institutional accountability, enhance donor reporting, support education policy implementation, optimize education investments, promote innovation, and accelerate progress toward achieving Sustainable Development Goal 4 through reliable, high-quality field data.

Through instructor-led workshops, field simulations, mobile data collection exercises, software demonstrations, collaborative group projects, practical field assignments, and comprehensive education case studies, participants will gain hands-on experience in planning, conducting, supervising, analyzing, reporting, and utilizing SDG education field monitoring activities. Upon successful completion of the course, participants will possess the competencies required to lead SDG monitoring initiatives, strengthen institutional monitoring and evaluation systems, support Results-Based Management, improve education planning, enhance policy implementation, and contribute to improved educational outcomes across ministries of education, universities, colleges, schools, NGOs, research institutions, and international development organizations.

Course Objectives

  1. Understand the Sustainable Development Goal 4 monitoring framework and global education indicators.
  2. Design and implement field-based SDG education monitoring systems.
  3. Apply quantitative and qualitative field data collection techniques.
  4. Utilize mobile technologies and digital platforms for education data collection.
  5. Conduct education field supervision and data quality assessments.
  6. Analyze SDG education indicators using statistical and business intelligence tools.
  7. Develop dashboards and reports for education policy and donor decision-making.
  8. Strengthen monitoring, evaluation, accountability, and learning systems.
  9. Support evidence-based educational planning through SDG monitoring.
  10. Improve institutional performance through effective education field monitoring.

Organizational Benefits

  1. Strengthens institutional capacity for SDG monitoring and reporting.
  2. Improves evidence-based educational planning and policy implementation.
  3. Enhances monitoring, evaluation, accountability, and learning systems.
  4. Supports institutional quality assurance and accreditation.
  5. Strengthens donor reporting and education program accountability.
  6. Improves education performance monitoring and resource allocation.
  7. Supports digital transformation in education data management.
  8. Promotes organizational learning and adaptive management.
  9. Enhances stakeholder confidence through reliable education data.
  10. Accelerates progress toward achieving Sustainable Development Goal 4.

Target Participants

  • Monitoring and Evaluation Officers
  • Ministry of Education Officials
  • School Principals
  • Head Teachers
  • University Administrators
  • Education Planners
  • Education Researchers
  • Institutional Planning Officers
  • Quality Assurance Officers
  • Education Information Management Officers
  • Project Managers
  • Field Supervisors
  • Data Collectors
  • GIS Specialists
  • Policy Analysts
  • Academic Registrars
  • NGO and Development Project Staff
  • Donor Program Coordinators
  • Education Consultants
  • Professionals involved in education monitoring, evaluation, planning, field research, policy implementation, institutional management, and educational development.

Course Outline

Module 1: Introduction to SDG Monitoring in Education

  • Sustainable Development Goal 4
  • Global education targets
  • Education indicators
  • Monitoring frameworks
  • Results-Based Management
  • International reporting standards

Case Study: Developing an SDG 4 monitoring framework for a national education sector plan.

Module 2: Planning Education Field Monitoring

  • Monitoring plans
  • Stakeholder mapping
  • Sampling strategies
  • Survey design
  • Field logistics
  • Ethical considerations

Case Study: Planning nationwide field monitoring of school enrollment and attendance.

Module 3: Mobile Data Collection Techniques

  • SurveyCTO
  • KoboToolbox
  • Open Data Kit (ODK)
  • Mobile questionnaires
  • GPS data collection
  • Offline data capture

Case Study: Collecting SDG education indicators using mobile devices across rural schools.

Module 4: School and Classroom Monitoring

  • School inspections
  • Classroom observations
  • Teacher assessments
  • Learner assessments
  • Infrastructure assessment
  • Inclusive education monitoring

Case Study: Monitoring classroom teaching quality and learner engagement in public schools.

Module 5: Data Quality Assessment

  • Data verification
  • Data validation
  • Quality assurance
  • Error detection
  • Data cleaning
  • Field supervision

Case Study: Conducting education data quality assessments across multiple districts.

Module 6: Statistical Analysis of SDG Indicators

  • Microsoft Excel
  • SPSS
  • STATA
  • R programming
  • Python analytics
  • Education statistics

Case Study: Analyzing learner completion rates and gender parity indicators.

Module 7: GIS and Spatial Monitoring

  • Geographic Information Systems (GIS)
  • School mapping
  • GPS analysis
  • Spatial visualization
  • Accessibility analysis
  • Resource distribution

Case Study: Mapping underserved education regions to support equitable resource allocation.

Module 8: Monitoring, Evaluation, Accountability and Learning (MEAL)

  • Monitoring systems
  • Evaluation frameworks
  • Accountability mechanisms
  • Organizational learning
  • Adaptive management
  • Continuous improvement

Case Study: Integrating SDG monitoring into a national education MEAL system.

Module 9: Dashboard Development and Reporting

  • Microsoft Power BI
  • Interactive dashboards
  • Data visualization
  • Executive reporting
  • SDG reporting
  • Policy briefs

Case Study: Developing executive dashboards for monitoring SDG 4 education indicators.

Module 10: Artificial Intelligence and Digital Monitoring

  • Artificial Intelligence
  • Predictive analytics
  • Machine learning
  • Automated reporting
  • Smart field supervision
  • Cloud collaboration

Case Study: Applying AI-assisted analytics to predict education performance trends.

Module 11: Decision-Making and Policy Development

  • Policy analysis
  • Evidence-based planning
  • Strategic leadership
  • Education financing
  • Risk management
  • Stakeholder engagement

Case Study: Using SDG monitoring data to guide national education investment priorities.

Module 12: Future Trends in SDG Education Monitoring

  • Education business intelligence
  • Big data analytics
  • Learning analytics
  • Digital governance
  • Innovation in education monitoring
  • Future SDG reporting systems

Case Study: Designing a national SDG 4 monitoring system integrating Education Management Information Systems (EMIS), Learning Management Systems (LMS), SurveyCTO, KoboToolbox, Open Data Kit (ODK), Microsoft Power BI, SPSS, Artificial Intelligence, GIS, cloud computing, predictive analytics, Results-Based Management, and automated reporting to strengthen education policy implementation, institutional performance, accountability, inclusive education, sustainable planning, and achievement of Sustainable Development Goal 4.

General Information

  1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
  2. Language Proficiency: Participants should have a good command of the English language.
  3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, field simulations, web-based tutorials, mobile data collection laboratories, GIS demonstrations, statistical analysis workshops, collaborative group work, software demonstrations, and comprehensive education case studies. Our facilitators are seasoned experts with over a decade of experience in SDG monitoring, education monitoring and evaluation, Results-Based Management, educational research, mobile data collection, GIS, policy analysis, and institutional performance management.
  4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
  5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
  6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
  8. Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
  9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
  10. Post-Training Support: We offer one year of free consultation and coaching after the course.
  11. Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
  12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
  13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
  14. Website: Visit our website at www.fdc-k.org for more information.

 

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