Module 1: Introduction to ICT in M&E

• Defining Monitoring and Evaluation (M&E) Fundamentals.
• The Evolution and Importance of ICT in M&E (ICT4M&E).
• Benefits of ICT4M&E: Efficiency, Accuracy, Real-time Data, Cost-effectiveness.
• Challenges and Risks of ICT4M&E Implementation.
• Overview of Key ICT Tools and Technologies for M&E.
• Practical session: Group discussion on current M&E challenges and how ICT might address them.

Module 2: M&E Frameworks and Data Needs

• Review of Common M&E Frameworks: Logic Models, Theory of Change, Results Frameworks.
• Identifying M&E Indicators and Data Requirements.
• Data Flow Mapping for M&E Systems.
• Designing Data Collection Instruments (Questionnaires, Checklists).
• Ethical Considerations in Data Collection and M&E.
• Practical session: Developing a simple M&E framework and identifying key data points for a hypothetical project.

Module 3: Digital Data Collection Tools and Mobile M&E (mM&E)

• Introduction to Digital Data Collection Platforms (e.g., KoboToolbox, ODK, SurveyCTO).
• Designing Digital Forms: Question types, skip logic, validation rules.
• Setting up Mobile Devices for Data Collection.
• Training Data Collectors for mM&E.
• Best Practices for Offline Data Collection.
• Practical session: Designing and deploying a simple digital survey form using KoboToolbox or ODK.

Module 4: Data Management and Quality Assurance

• Data Storage and Database Concepts for M&E.
• Developing Data Dictionaries and Data Management Plans.
• Data Cleaning Techniques and Best Practices using Excel or simple database functions.
• Data Validation and Quality Checks in Digital Platforms.
• Data Backup and Recovery Strategies.
• Practical session: Cleaning and validating a sample dataset using basic spreadsheet functions, identifying and correcting common errors.

Module 5: Data Visualization and Reporting Tools

• Principles of Effective Data Visualization.
• Choosing the Right Chart Type for M&E Data.
• Introduction to Data Visualization Tools (e.g., Excel Charts, Google Data Studio, Tableau Public).
• Designing Clear and Impactful M&E Reports.
• Interactive Dashboards for M&E Data.
• Practical session: Creating various charts (bar, line, pie) and a simple dashboard using Excel or a free online tool, based on sample M&E data.

Module 6: Geospatial Data and GIS for M&E

• Introduction to Geographic Information Systems (GIS) for M&E.
• Types of Geospatial Data: Points, Lines, Polygons.
• Collecting Geographic Coordinates with Mobile Devices.
• Mapping M&E Data: Using QGIS or Google Earth Pro.
• Analyzing Spatial Patterns in Program Reach and Impact.
• Practical session: Plotting geographic coordinates from a dataset onto a map using QGIS or Google Earth Pro.

Module 7: Cloud-Based M&E Platforms

• Benefits of Cloud-Based M&E Systems (e.g., scalability, accessibility, collaboration).
• Overview of Integrated M&E Software Solutions (e.g., CommCare, DHIS2 - conceptual).
• User Management and Access Control.
• Data Synchronization and Real-time Updates.
• Selecting and Implementing a Cloud-Based Platform.
• Practical session: Exploring the features of a demo cloud-based M&E platform and discussing its potential applications.

Module 8: Introduction to Big Data in M&E

• Defining Big Data: Volume, Velocity, Variety, Veracity.
• Sources of Big Data for M&E (e.g., social media, remote sensing, administrative data).
• Potential Applications of Big Data in M&E.
• Challenges of Big Data in M&E: Analysis, Ethics, Interpretation.
• Conceptual Understanding of Data Mining and Machine Learning for M&E.
• Practical session: Discussing case studies where big data approaches have been used in M&E and brainstorming new applications.

Module 9: Data Security, Privacy, and Ethics in ICT4M&E

• Principles of Data Security: Confidentiality, Integrity, Availability.
• Data Privacy Regulations (e.g., GDPR, national laws) and M&E.
• Obtaining Informed Consent in Digital Data Collection.
• Anonymization and Pseudonymization Techniques.
• Ethical Guidelines for ICT4M&E Implementation.
• Practical session: Developing a basic data security and privacy checklist for an ICT4M&E project.

Module 10: Leveraging ICT for Real-Time M&E

• The Concept of Real-Time M&E: Benefits and Challenges.
• Technologies Enabling Real-Time Data Flow.
• Designing Real-Time Dashboards for Decision-Making.
• Automated Alerts and Triggers for Program Management.
• Adaptive Management through Real-Time Insights.
• Practical session: Designing a conceptual real-time M&E dashboard based on specific program indicators.

Module 11: ICT for Impact Evaluation

• Types of Impact Evaluations: Experimental, Quasi-Experimental.
• Using ICT for Baseline and Endline Data Collection.
• ICT for Randomization and Treatment Assignment.
• Leveraging ICT for Monitoring Counterfactuals.
• Case Studies of ICT-Enabled Impact Evaluations.
• Practical session: Designing a data collection strategy for an impact evaluation incorporating ICT tools.

Module 12: Knowledge Management and Learning Systems

• The Role of ICT in Knowledge Management for M&E.
• Developing Repositories for M&E Reports and Resources.
• Creating Online Learning Platforms for M&E Capacity Building.
• Facilitating Collaboration and Information Sharing via ICT.
• From Data to Learning: Bridging the Gap.
• Practical session: Brainstorming and outlining components of an ICT-enabled knowledge management system for an M&E unit.

Module 13: Integrating ICT in M&E Planning

• Assessing ICT Readiness for M&E.
• Developing an ICT Integration Plan for M&E Systems.
• Budgeting for ICT4M&E Implementation.
• Risk Management in ICT4M&E Projects.
• Stakeholder Engagement for ICT4M&E Adoption.
• Practical session: Drafting a simple ICT4M&E integration plan for a small-scale project.

Module 14: Data Analysis with ICT Tools (Basic)

• Recap of Data Cleaning and Structuring.
• Basic Statistical Analysis using Spreadsheet Software (Excel) or basic R/Python commands (conceptual).
• Filtering, Sorting, and Pivoting Data for Analysis.
• Calculating Key M&E Metrics.
• Preparing Data for Advanced Analysis Software.
• Practical session: Performing basic descriptive analysis (mean, median, counts) and cross-tabulations on an M&E dataset.

Module 15: Introduction to Emerging Technologies for M&E

• Drones and Remote Sensing for M&E Data Collection.
• Artificial Intelligence (AI) and Machine Learning (ML) in M&E.
• Blockchain Technology for Data Trust and Traceability.
• Internet of Things (IoT) for Monitoring Physical Assets.
• The Future of ICT4M&E: Trends and Innovations.
• Practical session: Group discussion and presentation on the potential impact of one emerging technology on a specific M&E challenge.

Module 16: Building M&E Dashboards and Infographics

• Principles of Dashboard Design: Usability and Impact.
• Selecting Key Performance Indicators (KPIs) for Dashboards.
• Using Advanced Features in Visualization Tools (e.g., filters, drill-downs).
• Creating Engaging Infographics for Communication.
• Storytelling with M&E Data through Visuals.
• Practical session: Designing and building an interactive M&E dashboard using a selected visualization tool with provided data.

Module 17: Developing an ICT4M&E Strategy

• Assessing Current M&E Capacity and ICT Gaps.
• Defining Vision and Goals for ICT4M&E.
• Identifying Key ICT Solutions and Tools.
• Roadmap for Implementation and Rollout.
• Monitoring and Adapting the ICT4M&E Strategy.
• Practical session: Developing a high-level ICT4M&E strategy outline for a given organizational context.

Module 18: Case Studies and Best Practices in ICT4M&E

• Review of Successful ICT4M&E Implementations Globally.
• Lessons Learned from ICT4M&E Failures.
• Discussion of Ethical Challenges and Solutions in Real-World Scenarios.
• Guest Speaker (if available, conceptual) or Video Presentations on Innovative Approaches.
• Final Q&A and Resource Sharing.
• Practical session: Group presentations and discussion on pre-assigned ICT4M&E case studies.

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588