<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Confronting Frame Alignment in CT Infused STEM Classrooms</dc:title><dc:creator>Bain, C.; Dabholkar, S.; Wilensky, U.</dc:creator><dc:corporate_author/><dc:editor>Kong, S.C.</dc:editor><dc:description>While the Next Generation Science Standards (NGSS) have presented computational thinking(CT)as an integral part of scientific  inquiry,  little  work  has  been  done  to  explicitly enable  this  connection  in  classrooms.  We  report  on  the efforts  of  one  such  design-based  implementation  research project  which,  with  participation  from  local  teachers,  has been implementing CT infused STEM units in biology and chemistry  classrooms.  Using  teacher  reflections  facilitated by   an   external   evaluator, research   field   notes,   and interviews, we identify possible issues of frame alignment in our  implementations–that  CT  practices,  particularly  using computational  models,  were  valued  but  would  not  enable students to gain a deeper understanding of scientific content. We  then  use  this  analysis  and  Schulman’s  definition  of teacher  case  knowledge  to  design  a  new element of  the project that aims to enable teachers to promote collaborative scientific   practice   using   computational   models   in   the classroom that  we  call  Lesson  0.  We  conclude  with  the discussion of a pilot implementation of this new lesson.</dc:description><dc:publisher/><dc:date>2020-04-01</dc:date><dc:nsf_par_id>10203610</dc:nsf_par_id><dc:journal_name>International Conference on Computational Thinking Education 2020</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>91-94</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1640201</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>