Governance, Decentralization & System Monitoring (LQAS)

Presentation delivered at CIES 2017 (Atlanta.) In 2004, the Federal Government of Nigeria passed the Universal Basic Education Act.

The Kenya Big Data Activity is an operations research study to help the Kenya Ministry of Education, Science, and Technology (MoEST) identify the challenges, opportunities, and capacity requirements for implementing a school-based digital Education Management Information System (EMIS) at scale and s

The purpose of the data gap analysis is to help the Palestinian Ministry of Education and Higher Education to identify ways to improve the integration and utilization of its data systems for policy, planning, and management, as well as reporting and feedback to the public and stakeholders.

This report summarizes main findings and lessons learned from the piloting of the lot quality assurance sampling (LQAS) methodology in the education sector in Ethiopia. It also suggests next steps for applying the LQAS methodology more broadly for education program monitoring.

This manual was created at the request of the United States Agency for International Development (USAID). It is a tool to guide individuals who are implementing a pilot application in locations that have not previously tested it.

This report summarizes main findings and lessons learned from the piloting of lot quality assurance sampling (LQAS) in the education sector in Ghana. It also suggests next steps for applying LQAS more broadly for education program monitoring.

The purpose of this case study is to illuminate how and why US Agency for International Development (USAID) education programs in the West Bank and Gaza were able to achieve the lasting impact in basic, higher, and non-formal education despite the considerable political and environmental challenges.

Motivation is key to behavior change in teaching and learning processes. Motivated teachers are thought to be more likely to be willing to experiment with different instructional approaches in the classroom. Motivated students are hypothesized to put forth extra effort during learning activities.

This document is based on the structure of previous education profiles that traditionally use Demographic and Household Survey (DHS) data to characterize children’s participation in primary and secondary schooling and adults’ schooling attainment and literacy.

EdData II, sponsored by the United States Agency for International Development (USAID), provided survey expertise to help national and local governments as well as the donor community assess education status in low income countries.