Description

Essay scoring is a difficult and contentious business. The problem is exacerbated when there are no “right” answers for the essay prompts. This research developed a simple toolset for essay

Essay scoring is a difficult and contentious business. The problem is exacerbated when there are no “right” answers for the essay prompts. This research developed a simple toolset for essay analysis by integrating a freely available Latent Dirichlet Allocation (LDA) implementation into a homegrown assessment assistant. The complexity of the essay assessment problem is demonstrated and illustrated with a representative collection of open-ended essays. This research also explores the use of “expert vectors” or “keyword essays” for maximizing the utility of LDA with small corpora.

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Resource Type
  • Text
  • Collaborating institutions
    School of Sustainable Engineering and the Built Environment (SSEBE) / Center for Earth Systems Engineering and Management
    Identifier
    • Identifier Value
      ASU-SSEBE-CESEM-2013-RPR-005

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