NVivo Advanced Skills for Education Training Course

Course Overview

NVivo Advanced Skills for Education Training Course is designed to equip education professionals, researchers, university lecturers, monitoring and evaluation specialists, education planners, policymakers, school administrators, project managers, qualitative researchers, and development practitioners with advanced knowledge and practical skills in using NVivo for qualitative and mixed methods research, educational policy analysis, institutional evaluation, learning analytics, and evidence-based decision-making. As ministries of education, universities, colleges, schools, NGOs, donor agencies, and international development organizations increasingly prioritize Education Management Information Systems (EMIS), Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Sustainable Development Goal 4 (SDG 4), educational research, institutional quality assurance, qualitative research, mixed methods analysis, education policy evaluation, digital transformation, knowledge management, and evidence-based educational planning, NVivo has become one of the leading qualitative data analysis software solutions. This course provides participants with advanced competencies for managing, coding, analyzing, visualizing, and interpreting complex qualitative education datasets.

The course provides participants with practical experience in qualitative research design, mixed methods research, interview analysis, focus group discussions, document analysis, thematic coding, framework analysis, grounded theory, content analysis, discourse analysis, case study analysis, sentiment analysis, social network analysis, education policy analysis, learning analytics, and qualitative reporting. Participants will learn to integrate NVivo with Microsoft Word, Microsoft Excel, SPSS, R, Python, SurveyCTO, KoboToolbox, Open Data Kit (ODK), Education Management Information Systems (EMIS), Learning Management Systems (LMS), Microsoft Power BI, Tableau, GIS, and cloud collaboration platforms to analyze teacher interviews, learner feedback, curriculum evaluations, institutional assessments, policy documents, accreditation reviews, donor-funded education projects, and educational research studies.

Participants will further explore advanced concepts including artificial intelligence-assisted coding, machine learning-supported qualitative analysis, qualitative data visualization, project collaboration, research transparency, coding consistency, education data governance, ethical research management, knowledge synthesis, organizational learning, institutional benchmarking, accreditation support, digital research workflows, and automated reporting. Practical exercises demonstrate how NVivo strengthens education monitoring and evaluation systems, improves qualitative research quality, supports education policy formulation, enhances institutional decision-making, strengthens donor reporting, and promotes evidence-based educational innovation through integrated qualitative and quantitative analysis.

Through instructor-led workshops, live demonstrations, qualitative analysis laboratories, collaborative research projects, practical coding exercises, and comprehensive education case studies, participants will gain hands-on experience in managing and analyzing qualitative education data using NVivo. Upon successful completion of the course, participants will possess the competencies required to conduct high-quality qualitative and mixed methods education research, strengthen institutional research capacity, improve education monitoring and evaluation systems, support Results-Based Management, enhance educational policy development, and contribute to improved education outcomes across ministries of education, universities, colleges, schools, NGOs, research institutions, and international development organizations.

Course Objectives

1. Master advanced NVivo tools for qualitative and mixed methods education research.
2. Design and manage qualitative education research projects using NVivo.
3. Apply advanced coding and thematic analysis techniques.
4. Conduct qualitative and mixed methods education data analysis.
5. Analyze interviews, focus groups, policy documents, and multimedia education data.
6. Integrate NVivo with quantitative education research tools.
7. Produce professional qualitative reports and visualizations.
8. Strengthen evidence-based educational planning through qualitative research.
9. Support education monitoring and evaluation using qualitative analytics.
10. Improve institutional decision-making through advanced qualitative data analysis.

Organizational Benefits

1. Strengthens institutional qualitative research 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 qualitative education data analysis and reporting.
6. Strengthens donor reporting and education project evaluations.
7. Supports digital transformation in education research.
8. Enhances organizational learning and knowledge management.
9. Promotes integrated qualitative and quantitative education analytics.
10. Improves educational quality through robust qualitative evidence.

Target Participants

• Monitoring and Evaluation Officers
• Education Researchers
• University Lecturers
• School Principals
• Head Teachers
• Ministry of Education Officials
• Education Planners
• University Administrators
• Institutional Planning Officers
• Quality Assurance Officers
• Education Information Management Officers
• Policy Analysts
• Curriculum Specialists
• Data Analysts
• ICT Officers
• Academic Registrars
• NGO and Development Project Staff
• Education Consultants
• Research Assistants
• Professionals involved in education research, qualitative analysis, monitoring and evaluation, institutional planning, policy development, and educational management.

Course Outline

Module 1: Introduction to NVivo for Education Research

• NVivo interface
• Project creation
• Workspace navigation
• Research workflows
• Project organization
• Education research applications

Case Study: Establishing an NVivo project for a national education quality assessment.

Module 2: Qualitative Research Design

• Research methodologies
• Qualitative research designs
• Mixed methods research
• Research questions
• Sampling strategies
• Research ethics

Case Study: Designing a qualitative study on teacher professional development.

Module 3: Data Import and Organization

• Importing interviews
• Focus group transcripts
• Policy documents
• PDFs and multimedia
• Survey responses
• Data organization

Case Study: Organizing multiple education research datasets from universities and schools.

Module 4: Advanced Coding Techniques

• Open coding
• Axial coding
• Selective coding
• Pattern coding
• Coding hierarchies
• Coding consistency

Case Study: Coding learner experiences from interviews conducted in secondary schools.

Module 5: Thematic and Content Analysis

• Theme development
• Framework analysis
• Content analysis
• Narrative analysis
• Grounded theory
• Discourse analysis

Case Study: Identifying themes affecting student retention in higher education.

Module 6: Advanced Querying and Visualization

• Text search queries
• Coding queries
• Matrix coding
• Word frequency
• Mind maps
• Concept maps

Case Study: Visualizing themes emerging from national education stakeholder consultations.

Module 7: Mixed Methods Integration

• Linking qualitative and quantitative data
• SPSS integration
• R integration
• Excel integration
• SurveyCTO integration
• KoboToolbox integration

Case Study: Combining survey findings and interview results for education program evaluation.

Module 8: Education Policy and Institutional Analysis

• Policy document analysis
• Curriculum evaluation
• Institutional assessments
• Accreditation analysis
• Strategic planning
• Organizational learning

Case Study: Evaluating national education policy implementation using qualitative evidence.

Module 9: Monitoring, Evaluation, Accountability and Learning (MEAL)

• Results-Based Management
• Evaluation frameworks
• Outcome harvesting
• Organizational learning
• Accountability reporting
• Continuous improvement

Case Study: Conducting qualitative evaluation of a donor-funded education improvement program.

Module 10: Collaboration and Project Management

• Team collaboration
• Project merging
• Coding comparison
• Version control
• Data security
• Research governance

Case Study: Managing collaborative qualitative analysis across multiple universities.

Module 11: Artificial Intelligence and Emerging Analytics

• AI-assisted coding
• Automated transcription
• Machine learning concepts
• Sentiment analysis
• Social network analysis
• Knowledge discovery

Case Study: Using artificial intelligence-assisted coding to analyze learner feedback from digital education platforms.

Module 12: Future Trends in Qualitative Education Research

• Digital qualitative research
• Learning analytics
• Big qualitative data
• Cloud collaboration
• Research innovation
• Future developments in NVivo

Case Study: Designing an integrated national education research ecosystem combining NVivo, EMIS, Learning Management Systems, Artificial Intelligence, Microsoft Power BI, R, GIS, cloud computing, mixed methods analytics, and advanced qualitative research workflows to strengthen educational planning, institutional performance, policy development, accountability, 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, live software demonstrations, qualitative analysis laboratories, collaborative group work, research projects, and real-world education case studies. Our facilitators are seasoned experts with over a decade of experience in NVivo, qualitative research, monitoring and evaluation, Results-Based Management, educational research, policy analysis, and digital research methodologies.
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.