@inproceedings{61d017bd32f2465ba3a79ccba69633e2,
title = "Automated assessment of paragraph quality: Introduction, body, and conclusion paragraphs",
abstract = "Natural language processing and statistical methods were used to identify linguistic features associated with the quality of student-generated paragraphs. Linguistic features were assessed using Coh-Metrix. The resulting computational models demonstrated small to medium effect sizes for predicting paragraph quality: introduction quality r2 = .25, body quality r2 = .10, and conclusion quality r2 = .11. Although the variance explained was somewhat low, the linguistic features identified were consistent with the rhetorical goals of paragraph types. Avenues for bolstering this approach by considering individual writing styles and techniques are considered.",
author = "Roscoe, {Rod D.} and Crossley, {Scott A.} and Weston, {Jennifer L.} and McNamara, {Danielle S.}",
year = "2011",
month = sep,
day = "9",
language = "English (US)",
isbn = "9781577355014",
series = "Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24",
pages = "281--286",
booktitle = "Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24",
note = "24th International Florida Artificial Intelligence Research Society, FLAIRS - 24 ; Conference date: 18-05-2011 Through 20-05-2011",
}