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Monitoring and Evaluation Online Course Repository

This course outlines the basics of humanitarian and development program M&E. Participants learn how to differentiate between monitoring and evaluation, develop a logical framework (logframe) based on a theory of change to design effective programs, choose appropriate data collection methods, and prepare for and conduct meaningful data analysis and action planning.
USAID Nutrition Resource Hub

This brief focuses on the pathway from food production to better diets and nutrition, However, all of the pathways are interrelated. Agricultural activities typically affect more than one pathway and interact with the enabling environment that includes policies, the natural resource base, and cultural practices, among other factors. In this brief, vignettes illustrate the potential pathways from food production to improved nutritional status.
Monitoring and Evaluation Online Course Repository

This course outlines the basics of M&E. Participants learn how to plan for data collection, management, analysis, and use. Participants are guided through the process of creating a project M&E plan. Learners who complete this free online course are eligible to receive a certificate of achievement from the Haas School of Business at the University of California, Berkeley.
Monitoring and Evaluation Online Course Repository

This course teaches participants how to expand program results frameworks and indicators into a well-functioning system of data collection, analysis, interpretation, reporting, and learning. Participants learn a five-step process of establishing an M&E system for a project or program—from defining results frameworks to data collection, analysis, and monitoring outputs.
Monitoring and Evaluation Online Course Repository

This module provides an overview of the principles and practice of program monitoring and evaluation, with a focus on how to define and measure a program’s success using the appropriate indicators and research design. The course is designed for researchers, project staff, and development practitioners who need to plan, implement, monitor and evaluate development projects, with a particular emphasis on food security and nutrition-related programs in developing countries.
News and Features

USAID Advancing Nutrition participated in ANH Academy Week Learning Labs on collecting dietary data and behavior change for complementary feeding.
Multi-Sectoral Nutrition Resource Review

Peer mentoring for immunization capacity building of maternal and child health nurses using WhatsApp increased mentees' knowledge, skills, and practices; improved engagement with peers; and promoted discussion and learning. Peer mentoring and WhatsApp networking are useful blended learning methods for need-based and individualized capacity building of health workers. Research to assess the comparative cost-benefit between classroom-based training and peer mentoring with WhatsApp networking will be useful.
Multi-Sectoral Nutrition Resource Review

This guide provides an overview of different kinds of distance and blended learning; insights about the advantages and challenges of each; and tools for conducting inventories, assessments, and surveys prior to implementing virtual training. It provides guidance on how to assess training resources, participants’ needs, and technology access and skills, and outlines key considerations and steps to transition in-person trainings to virtual ones.
Multi-Sectoral Nutrition Resource Review

This series answers frequently asked questions about working with USAID and provides tips and examples on researching funding opportunities, creating a proposal, and building a budget and a monitoring and evaluation plan. This is a webinar.
Multi-Sectoral Nutrition Resource Review

The Malawian Ministry of Health developed quality improvement assessment tools to help health facilities report on adapted Quality of Care standards for maternal and newborn health and pediatric care. Ministry officials share lessons learned in developing and using the tools. This is a webinar.