Workshop: Integrating data-driven learning into the technical writing classroom

Laurence Anthony, Stefanie Wulff, Ryan K. Boettger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Technical writing service courses have become a mainstay across institutions of higher education. However, the heterogeneous student population that these courses attract leads to generic instruction that often contradicts how students are expected to communicate within their respective fields. This workshop aims to provide participants with a basic introduction to data-driven learning as well as how to use corpora and text processing tools to facilitate more tailored technical writing instruction.

Original languageEnglish
Title of host publicationIEEE ProComm 2016 - International Professional Communication Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017614
DOIs
Publication statusPublished - 2016 Nov 9
Event2016 International Professional Communication Conference, IEEE ProComm 2016 - Austin, United States
Duration: 2016 Oct 22016 Oct 5

Publication series

NameIEEE International Professional Communication Conference
Volume2016-November
ISSN (Print)2158-091X
ISSN (Electronic)2158-1002

Other

Other2016 International Professional Communication Conference, IEEE ProComm 2016
Country/TerritoryUnited States
CityAustin
Period16/10/216/10/5

Keywords

  • AntConc
  • Technical writing
  • corpus linguistics
  • data-driven learning

ASJC Scopus subject areas

  • Communication
  • General Engineering

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