NDLI: Automated Essay Scoring and the Search for Valid Writing Assessment

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Automated Essay Scoring and the Search for Valid Writing Assessment

Content Provider	Semantic Scholar
Author	Klobucar, Andrew
Copyright Year	2012
Abstract	In this chapter, we present selected findings from a collaborative program of research between a non-profit educational research institution and a public science and technology university. After providing a background to the design of automated essay scoring (AES), we explore this method as one of six systems designed to assess writing performance. Because writing assessment is best validated in specific settings, we focus on a study undertaken in the fall of 2010 (N=1006) with the performance of first year admitted students. This case reveals that the best predictor of course grades is a model of measures embedded early in a semester that combine two AES timed writing submissions and a writing sample allowing 48-hour completion (R = .475, R = .225, p < 0.01). End-of-semester portfolio assessment systems reveal the importance embedded measures providing substantial construct coverage. As discontinuous as AES is in a print environment, our framework demonstrates that this technology is congruent in a digital environment. The chapter concludes with a depiction of AES as a technology at a nascent stage of development. The future roles that writing assessment systems play depend on their integration into the practices of teachers and students.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.njit.edu/middlestates/docs/2012/AESSearch_ETS_NJIT_November162011.pdf
Alternate Webpage(s)	http://www.njit.edu/middlestates/sites/middlestates/files/lcms/docs/2012/AESSearch_ETS_NJIT_November162011.pdf
Alternate Webpage(s)	https://wac.colostate.edu/books/wrab2011/chapter6.pdf
Alternate Webpage(s)	http://wac.colostate.edu/books/wrab2011/chapter6.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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