M&E, Data Management & Analysis for Agriculture, and Rural Development Programmes Course

 INTRODUCTION

M&E for Agriculture Training programs is crucial towards rural development. Food security is paramount in any particular nation and plays a major role towards the achievement of the other sustainable development goals; that is poverty eradication, good health and well-being, decent work and further towards economic growth goals. Rural development not only plays a major role in eradicating poverty by providing alternative sources of livelihoods but also significantly contributes to agricultural growth which in turn contributes to food security.

M&E for Agriculture Training , therefore, aims at aiding personnel in the agricultural sector in; monitoring and evaluating of rural development ; assessing their impact, and data management and analysis and its interpretation for policy making for development agenda.

DURATION

10 day

TRAINING OBJECTIVES

By the end of the training, the participants will be able to;

• Gain skills in research design, data management and analysis in agriculture and rural development .
• Learn how to integrate gender issues in agriculture and rural development .
• Understand the role of food security in attaining the sustainable development goals.
• Gain skills on how to improve M&E systems in food and nutrition security .
• Strengthen their skills to evaluate impact assessments of food and nutrition.
• use M&E for Agriculture Training to impact rural development

COURSE OUTLINE

Module 1: Fundamentals of Monitoring and Evaluation

• What is M&E?
• Significance of M&E
• Principles and concepts in M&E
• Challenges facing M&E personnel in rural development and agricultural
• M&E and the programme lifecycle
• M&E in agriculture and rural development programme design
• Complementary roles of monitoring and evaluation

Module 2: M&E frameworks

• Basics of M&E frameworks for rural development programmes
• M&E in rural me development context
• Development and operationalization of M&E frameworks
• Link between M&E and indicators
• Using data
• Using logical frameworks in monitoring and evaluation of rural and agricultural programmes

Module 3: Gender consideration in M&E for Rural Development

• Gender integration during programme activities design
• Gender indicators in agriculture and rural development
• Cross-cutting gender issues in rural development
• Role of M&E in addressing gender
• Measure of gender outcomes and outputs

Module 4: Demand for data use in Agriculture and Rural Development

• Data use frameworks and basic concepts
• Data demand
• Information availability
• Information use

Module 5: Introduction to Research approaches for M&E in Agriculture and Rural Development

• Basic statistics concepts
• Research designs
• Data collection techniques and tools advantages and disadvantages
• Descriptive analysis techniques
• Inferential analysis techniques

Module 6: Data Management

• Data management dimensions
• Data management
• Data quality

Module 7: Data Analysis

• Descriptive analysis
• Inferential analysis
• Interpretation of findings

Module 8: Evaluation of Rural Development programmes

• Determining evaluation points from results framework
• Components of evaluations, implementation and process evaluations
• Evaluation designs
• Performance evaluation process
• Evaluation findings, sharing, and dissemination

Module 9: Impact Assessment of Rural Development programmes

• Introduction to impact evaluation
• Impact assessment in design
• Attribution in impact evaluation
• Methods and approaches to assessing impact

Module 10: M&E Results Use and Dissemination

• Measuring results in agriculture and rural development
• Use of M&E results to improve and strengthen agricultural and rural development  
• Use of M&E lessons learned and best practices
• M&E reporting
• Design, monitoring, and evaluation of resilience interventions

CUSTOMIZED TRAINING

This training can also be customized for your institution upon request. You can have it delivered your preferred location.

This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Upon successful completion of this training, participants will be issued with a Livecode Technologies certificate.

The training is residential and will be held at the Livecode Technologies Training Center in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 135,000.00 or USD 1700.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment should be transferred to Livecode Technologies account through bank on or before the course commences.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

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

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, contact our team on:

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853