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

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

Organizational Benefits

1. Strengthens institutional research and evaluation capacity.
2. Improves evidence-based educational planning and policymaking.
3. Enhances monitoring, evaluation, accountability, and learning systems.
4. Supports institutional quality assurance and accreditation.
5. Improves donor reporting and education project evaluation.
6. Strengthens organizational learning and innovation.
7. Enhances stakeholder engagement through comprehensive evidence.
8. Supports digital transformation in education research.
9. Improves strategic decision-making using integrated data.
10. 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

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, 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.
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.