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EGRA/EGMA

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PISA. This years focus is mathematics with an additional test in creative thinking.

PISA

The new PISA 2021 mathematics framework was recently launched. Preparations for this test are underway with participants from 36 OECD members and likely 50+ non-members involved. The PISA 2024 innovative domain, Learning in the Digital World, aims to measure students’ ability to engage in self-regulated learning while using digital tools. The tasks measure students’ capacity to monitor their progress, use feedback and stay engaged while they build models and develop solutions with digital tools. TIMSS and PIRLS Home. USAID EGRA Liberia Report. Untitled. Eddata II - education data for decision-making. Mobile Technology for Learning Assessments.

Tangerine Central. Assessing early reading The science of early literacy acquisition and proven techniques for teaching reading are both backed by years of experimental research, as well as practical experience implementing programs to improve reading.

Tangerine Central

Experts agree that measuring reading progress early offers the benefits of informing remediation, taking a snapshot in time or showing progress over time of children’s reading abilities and informing stakeholders and policy makers about what programs or methods work. USAID EGMA/EGRA Data. USAID/PRIMR in Kenya will use Tangerine for mid-term assessment. Based on the results of the initial pilot and feasibility analysis of Tangerine done in Kenya in January, plus positive results from further field trials in Liberia and Malawi, the project has decided to implement an electronic data collection for the mid-term.

USAID/PRIMR in Kenya will use Tangerine for mid-term assessment

The original Kenya pilot of Tangerine took place simultaneously to a paper-based data collection under the same conditions, so a detailed cost comparison could be done. The results of this study showed that the actual costs of paper and the projected cost of using the electronic approach (namely, purchasing the hardware) for the same sample were nearly equivalent.