Recursive Search and Social Media for STEM Vocabulary Learning

dc.contributor.author Aist, Gregory
dc.contributor.author Slater, Tammy
dc.contributor.author Oakey, David
dc.contributor.author Ramaeke, Heidi
dc.contributor.department Department of English
dc.date 2018-02-16T23:34:13.000
dc.date.accessioned 2020-06-30T02:19:29Z
dc.date.available 2020-06-30T02:19:29Z
dc.date.copyright Sat Jan 01 00:00:00 UTC 2011
dc.date.embargo 2015-09-01
dc.date.issued 2011-01-01
dc.description.abstract <p>Science, technology, engineering, and mathematics (STEM) form a cluster of academic subjects of increasing interest. Lists of academic vocabulary such as the 570-item Academic Word List (AWL) do not generally focus on STEM. Previously (Aist et al., 2010) we delineated four processes for developing a STEM-specific vocabulary from a general resource such as the AWL: selecting STEM words, filtering out non-STEM words, pairing some words with related non-AWL words (e.g., qualitative, quantitative), and extending some words into STEM-specific phrases (e.g., genetic factor, algebraic factor). Extension into phrases was aimed in part at recontextualizing vocabulary items to specify their STEM meaning.</p>
dc.description.comments <p>This is a conference proceeding from the <em>Eighth Annual Conference on Technology for Second Language Learning </em>(2011): 1. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/engl_conf/1/
dc.identifier.articleid 1000
dc.identifier.contextkey 7540853
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath engl_conf/1
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/23393
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/engl_conf/1/0-TESL_Conf_permission.pdf|||Fri Jan 14 17:32:31 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/engl_conf/1/2011_slater_RecursiveSearch.pdf|||Fri Jan 14 17:32:33 UTC 2022
dc.subject.disciplines Curriculum and Social Inquiry
dc.subject.disciplines Educational Assessment, Evaluation, and Research
dc.subject.disciplines Science and Mathematics Education
dc.subject.disciplines Social Media
dc.title Recursive Search and Social Media for STEM Vocabulary Learning
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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relation.isOrgUnitOfPublication a7f2ac65-89b1-4c12-b0c2-b9bb01dd641b
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