Exploring relationships between automated and human evaluations of L2 texts

dc.contributor.author Matthews, Joshua
dc.contributor.author Wijeyewardene, Ingrid
dc.date.accessioned 2018-10-03T17:55:01Z
dc.date.available 2018-10-03T17:55:01Z
dc.date.issued 2018-10-01
dc.description.abstract Despite the current potential to use computers to automatically generate a large range of text-based indices, many issues remain unresolved about how to apply these data in established language teaching and assessment contexts. One way to resolve these issues is to explore the degree to which automatically generated indices, which are reflective of key measures of text quality, align with parallel measures derived from locally relevant, human evaluations of texts. This study describes the automated evaluation of 104 English as a second language texts through use of the computational tool Coh-Metrix, which was used to generate indices reflecting text cohesion, lexical characteristics, and syntactic complexity. The same texts were then independently evaluated by two experienced human assessors through use of an analytic scoring rubric. The interrelationships between the computer and human generated evaluations of the texts are presented in this paper with a particular focus on the automatically generated indices that were most strongly linked to the human generated measures. A synthesis of these findings is then used to discuss the role that such automated evaluation may have in the teaching and assessment of second language writing.
dc.identifier.citation Matthews, J., & Wijeyewardene, I. (2018). Exploring relationships between automated and human evaluations of L2 texts. Language Learning & Technology, 22(3), 143–158. https://doi.org/10125/44661
dc.identifier.doi 10125/44661
dc.identifier.issn 1094-3501
dc.identifier.uri http://hdl.handle.net/10125/44661
dc.publisher University of Hawaii National Foreign Language Resource Center
dc.publisher Michigan State University Center for Language Education and Research
dc.subject Writing
dc.subject Assessment/Testing
dc.subject Language Teaching Methodology
dc.subject Research Methods
dc.title Exploring relationships between automated and human evaluations of L2 texts
dc.type Article
dc.type.dcmi Text
prism.endingpage 158
prism.number 3
prism.publicationname Language Learning & Technology
prism.startingpage 143
prism.volume 22
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