School-based programmes impact evaluation window
School-based programmes are one of the most extensive social safety nets worldwide, with an estimated 388 million children worldwide currently benefiting from school feeding.
School-based programmes are one of the most extensive social safety nets worldwide, with an estimated 388 million children worldwide currently benefiting from school feeding.
In 2019, 135 million people in 55 countries were in food crises or worse, and 2 billion people did not have regular access to safe, nutritious and sufficient food.
This 2019-2020 Biennial Report builds on data and inputs collected by the African Union and its partners gathered in the HGSF Cluster, including WFP, UNICEF and FAO.
Health-promoting schools have been associated with improvements in the health status of students globally. This study is a secondary analysis study assessing Iranian HPSs.
The CFS Voluntary Guidelines on Food Systems and Nutrition (VGFSyN) were endorsed at CFS 47 in February 2021.
The Menstrual Hygiene Management (MHM) toolkit is a practical guide providing information on MHM at schools. The toolkit together with the accompanying MHM National Guidelines were developed by the MHM Thematic Working Group under the lead of the Ministry of General Education (MoGE).
The purpose of these guidelines is to make an evidence-based Menstrual Hygiene Management (MHM) resource available that gives guidance on MHM programming to stakeholders involved in providing a safe and appropriate school environment through improvements in WASH infrastructure and services.
In view of the important relationship between happiness and the quality of education, in June 2014 UNESCO Bangkok launched the Happy Schools Project.
This study was aimed at documenting the implementation of the Re-Entry Policy (REP) in Zambia with respect to Read to Succeed’s (RTS) contribution to policy intervention and efforts to improve girls’ education.
This paper examines the effect of teenage pregnancy (early childbearing) on education and lifetime earnings using data from national surveys.