Aim:

Monitoring and evaluation are very important in today’s modern business world for implementations of the strategic plan, policy, checking day to day working activities, and progress of the project. Despite its importance, these important elements have been marginalized and in some cases, officers with a mandate to conduct monitoring and evaluation within an organization do not have what it takes for the assignment.
Therefore, this short course has been designed to equip participants with the knowledge and hands-on skills that are necessary for monitoring and evaluation of various organization (firms) projects (activities) with an interest in achieving a desired goal. The course covers various components of Monitoring, Evaluation, and Learning right from how to initiate plan and design for monitoring and evaluation to data quality assessment. It also presents data collection, analysis, interpretation, and dissemination of the findings. Further participants will have chances to visit currently implemented
projects and conduct evaluations as part of the training.

Intended Learning Outcomes

By the end of this course, participants should be able to demonstrate an understanding on

1. Basic concept of Monitoring, Evaluation, and Learning
2. Theoretical and practical underpinnings on the design for monitoring and evaluation systems
3. Data Collection, data quality assessment, interpretation, and dissemination

Topic 1 : Monitoring and Evaluation

1. Conceptualization
2. Purpose of Monitoring and Evaluation
3. Monitoring and Evaluation System
4. Uses of M&E Information
5. Practices that Promote Useful MEL Systems

Topic 2: Planning for Monitoring and Evaluation

1. Indicators
2. Qualitative and quantitative measures
3. Uses of Monitoring and Evaluation information
4. Organizational culture and its influence to MEL

Topic 3: Designing for Monitoring Evaluation and Learning System

1. Designing Monitoring and Evaluation Processes
2. Defining the Evaluation Questions
3. Setting the MEL Agenda (Learning questions etc)
4. Monitoring Evaluation and Learning Framework
5. Contribution and Attribution measurement

Topic 4: Data collection and Dissemination

1. Baseline Data
2. Control Group
3. Data Quality assessment
4. Data processing and Analysis
5. Data dissemination

Mode of Presentation

• Lecture
• case study
• project visitations
• class activity