Validating Automated Essay Scoring for Online Writing Placement
Assessing Writing Volume 18, Number 1, ISSN 1075-2935
In this paper, I describe the design and evaluation of automated essay scoring (AES) models for an institution's writing placement program. Information was gathered on admitted student writing performance at a science and technology research university in the northeastern United States. Under timed conditions, first-year students (N = 879) were assigned to write essays on two persuasive prompts within the "Criterion"[R] Online Writing Evaluation Service at the beginning of the semester. AES models were built and evaluated for a total of four prompts. AES models meeting recommended performance criteria were then compared to standardized admissions measures and locally developed writing measures. Results suggest that there is evidence to support the use of "Criterion" as part of the placement process at the institution. (Contains 12 tables.)
Ramineni, C. (2013). Validating Automated Essay Scoring for Online Writing Placement. Assessing Writing, 18(1), 40-61.
Cited ByView References & Citations Map
Jinlan Tang, School of Online and Continuing Education, Beijing Foreign Studies University, Beijing, China; Yi'an Wu, School of English and International Studies, Beijing Foreign Studies University, Beijing, China
International Journal of Computer-Assisted Language Learning and Teaching Vol. 7, No. 2 (April 2017) pp. 58–74
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