Topic outline

  • This course explains how to utilize, gather and analyse existing data on child labour in agriculture and identify information gaps. It also provides guidance on generating knowledge, providing an overview of data collection techniques, data processing instruments, and how data can be used more effectively to inform policies and programmes.

      • System Requirements

        The online version of this course runs on the latest versions of the major browsers, such as Google Chrome, Microsoft Edge, Mozilla Firefox and Apple Safari.

        The downloadable version only runs on Windows PC’s and no additional software is needed.

        • Audience

          The course will contribute to the capacity development of:

          • policy makers and advisors of agricultural related policy,
          • agricultural programme designers and implementers,
          • agricultural producer organizations,
          • agricultural researchers, and
          • agricultural statisticians,

          who wish and need to know more about tackling child labour in agriculture.

          • You will learn about

            • How to gather data on child labour in agriculture and identify the main sources of statistics.
            • How to list the criteria to evaluate studies providing information on child labour in agriculture and the most common techniques, tools and methods.
            • Clarify how hazardous work can be measured.
            • The importance of a well thought communication and dissemination strategy.

            • Course structure

              The course consists of  2  lessons, ranging from approximately  35  to  55  minutes duration each:

              • Lesson 1 – Available data and research
              • Lesson 2 – Generating knowledge through improved data collection

              • Partners

                International Labour Organization       Kingdom of the Netherlands

                • Digital Badge Certification

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                  Badges can be displayed wherever earners want them on the web, and share them for employment, education or lifelong learning.


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