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Build back better: Avoid the learning loss trap.

Yong Zhao
Published in: Prospects (2021)
A dangerous trap exists for educators and education policy makers: the learning loss. This trap comes with a large amount of data and with sophisticated projection methods. It presents a stunningly grim picture for education and it invites educators and policy makers to make wrong decisions and invest in wrong things. The article identifies a number of undesirable outcomes that their concerns could lead to. It also suggests several productive actions when the pandemic is controlled and schools reopen.
Keyphrases
  • healthcare
  • public health
  • sars cov
  • mental health
  • quality improvement
  • coronavirus disease
  • electronic health record
  • big data
  • magnetic resonance imaging
  • adipose tissue
  • machine learning
  • metabolic syndrome
  • weight loss