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Optimists believe AI will partner with teachers to provide customized learning resources, digital tutors, and innovative experiences tailored to individual students’ needs. Pessimists express concerns about the potential dehumanization of education, arguing that AI could increase students' reliance on digital tools, reduce meaningful human interactions, and perpetuate biases and misinformation. In this article, the authors highlight the need for education leaders and policymakers to navigate the use of AI with care, balancing its transformative potential with its inherent risks.
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IES issued a report on the future of education research at the National Centers for Education Research and Special Education Research. The report identifies issues, details new methods and research investments needed in the future. PACE produced a paper to synthesize existing evidence in the field and frame recommendations. Public input and outside experts were also consulted.
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The COVID-19 pandemic had a significant negative effect on the oral reading fluency (ORF) of US students in grades 2-3 in over 100 school districts, with students falling 30% behind expectations. While there was some recovery in the fall, it was insufficient to make up for the spring losses. The impact is particularly inequitable, with lower achieving schools being hit harder, and 10% of students not being assessed. Addressing accumulated learning losses and supporting struggling students is necessary.
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This paper argues that the components of educational provisions which satisfy private demands, mythology aside, almost invariably win out over the public goods components. If true, this leads, on the one hand, to a diminished supply of social benefits, and, on the other, to a stifling of social mobility. Insofar as these arguments are correct, they also may apply in most countries of the world, whether capitalist or socialist.