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    Last month, IES director Mark Schneider expressed excitement about learning more from the National Assessment of Educational Progress (NAEP) by applying artificial intelligence (AI) to micro-level data on students’ responses to individual test questions. We share the enthusiasm about learning more from NAEP—known as the Nation’s Report Card—and have developed ways to learn more today. Even without using AI, a lot more can be learned from the data that NAEP already reports: aggregated academic achievement results for states, districts, and demographic groups.

    2023-08-23
    浏览量:431  |  
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    A new study using predictive modeling to account for nonrepresentative test participation in Pennsylvania in 2021 shows that the pandemic led to a substantial reduction in academic proficiency in grades 5 through 8.

    2023-01-13
    浏览量:73  |  
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    Tim Kautz [智库专家]
    研究领域: Effective Data Use;   Special Education;   Teacher and Principal Preparation and Support;   Training and Re-employment;  
    Pia Caronongan [智库专家]
    研究领域: Human Services;   Early Childhood;   Professional Development;   Quality Measurement;   Effective Data Use;   Strengthening and Disseminating Research;  
    Kate Place [智库专家]
    研究领域: Human Services;   Education;   Effective Data Use;   Strengthening and Disseminating Research;  
    Kristin Hallgren [智库专家]
    研究领域: Quality Measurement;   Education;   Effective Data Use;   School Reform;   Teacher and Principal Effectiveness;   Teacher and Principal Preparation and Support;  
    Barbara Harris [智库专家]
    研究领域: Education;   Effective Data Use;   Strengthening and Disseminating Research;   Labor: Strengthening and Disseminating Research;   Human Services;  
    Marykate Zukiewicz [智库专家]
    研究领域: Human Services;   Education;   Justice;   Family Support;   Effective Data Use;   Teacher and Principal Preparation and Support;  
    Menbere Shiferaw [智库专家]
    研究领域: Education;   Employment;   Special Education;   Effective Data Use;   Human Services;  
    Gregory Chojnacki [智库专家]
    研究领域: Human Services;   Education;   Effective Data Use;   Nutrition;   Food Security and Hunger;   Employment;  
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