SCALE: A Smart competence analytics solution for english writing

David Boulanger, Jeremie Seanosky, Clayton Clemens, Vivekanandan Kumar, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper proposes a competence analytics framework called SCALE (Smart Competence Analytics on LEarning) and highlights how it can be applied to track the formation and development of learners' competences in the English writing domain. SCALE is essentially a generic competence analytics solution designed for all learning domains. This paper shows in detail how SCALE collects in a timely manner evidences to track the development of English writing skills. As new evidences come in, every competence will be re-assessed quantitatively so that every change in competence level can be recorded over time. Using an experimental dataset, the paper concludes by exhibiting a subset of insights possible with SCALE.

Original languageEnglish
Title of host publicationProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
EditorsJ. Michael Spector, Chin-Chung Tsai, Ronghuai Huang, Paul Resta, Demetrios G Sampson, Kinshuk, Nian-Shing Chen
Pages468-472
Number of pages5
ISBN (Electronic)9781467390415
DOIs
Publication statusPublished - 28 Nov. 2016
Event16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States
Duration: 25 Jul. 201628 Jul. 2016

Publication series

NameProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016

Conference

Conference16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
Country/TerritoryUnited States
CityAustin
Period25/07/1628/07/16

Keywords

  • Competence
  • Confidence
  • English writing
  • Learning analytics
  • Natural language processing
  • Performance

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