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Mixed Methods Case Studies for Education Training Course

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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).

Upcoming Training Schedules 14 locations

Location	Duration	Next Start Date	Dates Available	Action
Nairobi, Kenya	10 days	Aug 24, 2026	98 dates
Accra, Ghana	10 days	Aug 24, 2026	49 dates
Addis Ababa, Ethiopia	10 days	Aug 24, 2026	49 dates
Cape Town, South Africa	10 days	Aug 24, 2026	49 dates
Dar es Salaam, Tanzania	10 days	Aug 31, 2026	49 dates
Dubai, UAE	10 days	Aug 24, 2026	69 dates
Istanbul, Turkey	10 days	Aug 24, 2026	49 dates
Kampala, Uganda	10 days	Aug 31, 2026	49 dates
Kigali, Rwanda	10 days	Aug 31, 2026	49 dates
Kuala Lumpur, Malaysia	10 days	Aug 31, 2026	49 dates
Mombasa, Kenya	10 days	Aug 31, 2026	49 dates
Pretoria, South Africa	10 days	Aug 31, 2026	49 dates
Singapore	10 days	Sep 7, 2026	49 dates
Zanzibar, Tanzania	10 days	Aug 24, 2026	49 dates

Mixed Methods Case Studies for Education Training Course

Course Overview

Mixed Methods Case Studies for Education Training Course is designed to equip education professionals, researchers, monitoring and evaluation specialists, school administrators, university managers, education planners, policymakers, project managers, quality assurance officers, and development practitioners with advanced knowledge and practical skills in applying mixed methods research and evaluation to address complex educational challenges through the integration of quantitative and qualitative approaches. As ministries of education, universities, colleges, schools, NGOs, donor agencies, and international development organizations increasingly emphasize Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Education Management Information Systems (EMIS), Sustainable Development Goal 4 (SDG 4), educational research, institutional quality assurance, evidence-based policy development, learning analytics, impact evaluation, educational assessment, digital transformation, organizational learning, and data-driven decision-making, mixed methods research has become an internationally recognized approach for generating comprehensive, credible, and actionable evidence. This course enables participants to design, implement, analyze, and communicate mixed methods case studies that strengthen educational policy, planning, and institutional performance.

The course provides participants with practical experience in mixed methods research design, convergent design, explanatory sequential design, exploratory sequential design, embedded design, case study methodology, qualitative research, quantitative research, sampling techniques, survey design, interviews, focus group discussions, classroom observation, document analysis, data integration, triangulation, education program evaluation, policy analysis, and evidence synthesis. Participants will learn to integrate Education Management Information Systems (EMIS), Learning Management Systems (LMS), Microsoft Excel, Microsoft Power BI, SPSS, STATA, R, Python, NVivo, SurveyCTO, KoboToolbox, Open Data Kit (ODK), GIS, cloud collaboration platforms, and business intelligence tools to evaluate learner achievement, curriculum implementation, teacher effectiveness, institutional performance, digital learning initiatives, school improvement programs, and donor-funded education projects.

Participants will further explore advanced concepts including theory of change, developmental evaluation, outcome harvesting, participatory evaluation, qualitative coding, statistical modeling, learning analytics, artificial intelligence-assisted research, predictive analytics, data visualization, knowledge management, education data governance, ethical research practices, accreditation support, strategic planning, organizational learning, and continuous quality improvement. Practical exercises demonstrate how mixed methods case studies strengthen monitoring and evaluation systems, improve institutional accountability, support policy implementation, enhance stakeholder engagement, facilitate donor reporting, promote innovation, and improve education outcomes through rigorous evidence generation and integration.

Through instructor-led workshops, research laboratories, software demonstrations, collaborative group projects, mixed methods simulations, data analysis exercises, and comprehensive education case studies, participants will gain hands-on experience in designing, conducting, analyzing, interpreting, and presenting mixed methods case studies for educational institutions. Upon successful completion of the course, participants will possess the competencies required to lead mixed methods research projects, strengthen education monitoring and evaluation systems, support Results-Based Management, improve institutional learning, enhance policy development, and contribute to improved educational outcomes across ministries of education, universities, colleges, schools, NGOs, research institutions, and international development organizations.

Course Objectives

Understand the principles and applications of mixed methods research in education.
Design mixed methods case studies using internationally recognized research frameworks.
Integrate qualitative and quantitative research methodologies effectively.
Apply mixed methods techniques for education program evaluation.
Conduct rigorous qualitative and quantitative data collection.
Analyze and integrate multiple sources of educational evidence.
Develop professional mixed methods research reports and policy recommendations.
Strengthen monitoring, evaluation, accountability, and learning systems.
Support evidence-based educational planning and decision-making.
Improve institutional performance through comprehensive mixed methods research.

Organizational Benefits

Strengthens institutional research and evaluation capacity.
Improves evidence-based educational planning and policymaking.
Enhances monitoring, evaluation, accountability, and learning systems.
Supports institutional quality assurance and accreditation.
Improves donor reporting and education project evaluation.
Strengthens organizational learning and innovation.
Enhances stakeholder engagement through comprehensive evidence.
Supports digital transformation in education research.
Improves strategic decision-making using integrated data.
Promotes continuous improvement in educational programs and institutional performance.

Target Participants

Monitoring and Evaluation Officers
Education Researchers
School Principals
Head Teachers
Ministry of Education Officials
University Administrators
Education Planners
Institutional Planning Officers
Quality Assurance Officers
Education Information Management Officers
Project Managers
Policy Analysts
Curriculum Specialists
Academic Registrars
ICT Officers
NGO and Development Project Staff
Donor Program Coordinators
Research Consultants
Data Analysts
Professionals involved in educational research, monitoring and evaluation, institutional planning, policy development, quality assurance, and educational leadership.

Course Outline

Module 1: Introduction to Mixed Methods Research

Mixed methods concepts
Research paradigms
Quantitative research
Qualitative research
Mixed methods philosophy
Education applications

Case Study: Applying mixed methods to evaluate a national literacy improvement initiative.

Module 2: Mixed Methods Research Designs

Convergent design
Explanatory sequential design
Exploratory sequential design
Embedded design
Multiphase design
Design selection

Case Study: Designing a mixed methods evaluation for teacher professional development.

Module 3: Case Study Research Methodology

Case study principles
Case selection
Context analysis
Multiple case studies
Boundaries of cases
Research protocols

Case Study: Conducting a comparative case study of high-performing and low-performing schools.

Module 4: Quantitative Data Collection

Surveys
Sampling techniques
Assessment tools
Education indicators
Digital data collection
Data quality assurance

Case Study: Collecting quantitative learner achievement data across multiple schools.

Module 5: Qualitative Data Collection

Interviews
Focus group discussions
Classroom observation
Document review
Reflective journals
Ethical research practices

Case Study: Exploring teacher experiences during curriculum reform implementation.

Module 6: Data Integration and Triangulation

Data merging
Data comparison
Triangulation techniques
Joint displays
Interpretation strategies
Evidence synthesis

Case Study: Integrating learner assessment scores with teacher interviews to evaluate instructional quality.

Module 7: Statistical and Qualitative Data Analysis

SPSS analysis
R programming
Python analytics
NVivo coding
Statistical interpretation
Thematic analysis

Case Study: Combining regression analysis and thematic coding to assess digital learning effectiveness.

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

Results-Based Management
Monitoring systems
Evaluation frameworks
Accountability mechanisms
Organizational learning
Adaptive management

Case Study: Integrating mixed methods research into a donor-funded education MEAL system.

Module 9: Reporting and Data Visualization

Research reports
Executive summaries
Policy briefs
Microsoft Power BI dashboards
Data storytelling
Presentation techniques

Case Study: Preparing a comprehensive mixed methods report for education policymakers.

Module 10: Artificial Intelligence and Emerging Research Technologies

Artificial Intelligence
Machine learning
Predictive analytics
Automated coding
Smart visualization
Digital research tools

Case Study: Using AI-assisted qualitative coding and predictive analytics to improve education research.

Module 11: Ethics and Quality Assurance

Research ethics
Validity
Reliability
Trustworthiness
Data governance
Institutional quality assurance

Case Study: Ensuring ethical compliance and research quality in a national education evaluation.

Module 12: Future Trends in Mixed Methods Research

Learning analytics
Education business intelligence
Cloud research platforms
Big data integration
Innovation in education research
Future mixed methods applications

Case Study: Designing a national mixed methods education research framework integrating Education Management Information Systems, Learning Management Systems, Artificial Intelligence, Microsoft Power BI, SPSS, R, Python, NVivo, GIS, cloud collaboration, Results-Based Management, and predictive analytics to strengthen education policy implementation, institutional performance, stakeholder engagement, accountability, continuous learning, and achievement of Sustainable Development Goal 4.

General Information

Customized Training: All our courses can be tailored to meet the specific needs of participants.
Language Proficiency: Participants should have a good command of the English language.
Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, research laboratories, software demonstrations, collaborative group work, mixed methods simulations, data analysis workshops, and real-world education case studies. Our facilitators are seasoned experts with over a decade of experience in mixed methods research, monitoring and evaluation, Results-Based Management, educational research, program evaluation, statistical analysis, qualitative research, and education policy development.
Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
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.
Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
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.
Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
Equipment: Tablets and laptops can be provided to participants at an additional cost.
Post-Training Support: We offer one year of free consultation and coaching after the course.
Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
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.
Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
Website: Visit our website at www.fdc-k.org for more information.

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya