Module 1: Introduction to ICT in M&E

• Overview of M&E principles and processes
• Evolution of ICT in M&E
• Benefits and limitations of ICT in M&E

Module 2: ICT Tools for Data Collection

• Mobile data collection platforms: ODK, KoboToolbox, Survey123
• Remote data collection methods: SMS and IVR systems
• Case studies: Successful ICT data collection projects

Module 3: Data Management and Storage

• Cloud storage solutions: Google Drive, Dropbox, OneDrive
• Database management systems: MySQL, Airtable
• Ensuring data accessibility and integrity

Module 4: Data Analysis Using ICT

• Statistical analysis tools: SPSS, R, and Excel
• Data cleaning and preparation for analysis
• Real-life exercises in data analysis

Module 5: Data Visualization for M&E

• Tools for data visualization: Tableau, Power BI, Google Data Studio
• Techniques for creating impactful visualizations
• Hands-on practice: Developing dashboards and infographics

Module 6: ICT in Real-Time Monitoring and Evaluation

• Setting up dashboards for real-time tracking
• Integration of IoT devices for monitoring environmental or project-specific indicators
• Examples of real-time M&E systems

Module 7: Communication and Reporting Using ICT

• Tools for creating professional reports: Canva, Google Docs
• Effective communication strategies with stakeholders using ICT
• Multimedia tools for enhancing report presentations

Module 8: Ethical Considerations and Data Security

• Data privacy regulations: GDPR and local laws
• Challenges in ethical ICT use for M&E
• Strategies to safeguard data security

Module 9: Emerging Trends in ICT for M&E

• Artificial Intelligence and Machine Learning for predictive evaluations
• Blockchain for secure data sharing in M&E
• Big data analytics in large-scale projects

Module 10: Practical Application and Case Studies

• Group projects: Design an ICT-based M&E framework for a sample project
• Case study discussions on ICT integration in M&E
• Peer review and feedback on projects