AACR paper highlighted by scientific society websites

A recent paper from the AACR group, "From substitution to redefinition: A framework of machine learning‐based science assessment", has been highlighted by a variety of scientific communities.  The paper was published in the Journal of Research in Science Teaching, with Xiaoming Zhai as the primary author.  The paper has been featured in several scientific society and popuar science websites.

Check them out:

American Institute of Physics:https://phys.org/news/2020-10-artificial-intelligence-science.html

American Association for the Advancement of Science (AAAS): https://www.eurekalert.org/pub_releases/2020-10/w-aai100520.php

MC.AI:  https://mc.ai/applying-artificial-intelligence-to-science-education-science-daily/

Read the full published article here:  https://doi.org/10.1002/tea.21658

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This material is based upon work supported by the National Science Foundation (DUE grants: 1438739, 1323162, 1347740, 0736952 and 1022653). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.