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Whoever ends up leading the country’s next government, they need to prioritize the implementation of the 2013 peace plan.
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Eduten is excited to announce the launch of a new 12-week research project in Laos, in collaboration with local educational authorities.
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Learning disabilities are disorders that affect the ability to understand, or use spoken or written language, do mathematical calculations, coordinate movements, and/or direct attention. Learning disabilities occur in very young children, yet they are usually not noticed until the child reaches school age. Learning disabilities can be lifelong conditions.
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This paper was commissioned by the Global Education Monitoring Report as background information for the development of the 2023 Global Education Monitoring (GEM) Report: technology and education, Southeast Asia. Digital technology has the potential to transform learning and offer a solution to persistent challenges in equity of access and quality of learning for all students. COVID-19 has accelerated the adoption of technology to deliver alternative modes of education. It has also put the...
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An output of the EdTech Hub, https://edtechhub.org
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The Education for All (EFA) movement is a global commitment to provide quality basic education for all children, youth and adults. At the World Education Forum (Dakar, 2000), 164 governments pledged to achieve EFA and identified six goals to be met by 2015. Governments, development agencies, civil society and the private sector are working together to reach the EFA goals.[ESPAÑOL] [FRANÇAIS]
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The dataset provided here as a link to a spreadsheet presents raw data from a global mapping exercise of 471 national digital platforms across 184 countries conducted by EdTech Hub as part of a Helpdesk request from UNICEF. The mapping exercise examined three key areas of availability, usability, and inclusivity of national digital learning platforms. Analysis from the dataset was used to generate a report on national digital learning platforms. The datasheet includes the authors’...
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With the accelerating growth of the academic corpus, doubling every nine years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text screening is done...
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