Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback

Rod Roscoe, Danica Kugler, Scott A. Crossley, Jennifer L. Weston, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Current computer-based tools for writing instruction show high scoring accuracy but uncertain instructional efficacy. One explanation is that these systems may not effectively communicate valid and appropriate formative feedback. In this paper, we describe an exploratory method for developing feedback algorithms that are grounded in writing pedagogy. The resulting threshold algorithms are shown to be meaningfully related to essay quality and informative regarding individualized, formative feedback for writers.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Pages466-471
Number of pages6
StatePublished - 2012
Event25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 - Marco Island, FL, United States
Duration: May 23 2012May 25 2012

Other

Other25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
CountryUnited States
CityMarco Island, FL
Period5/23/125/25/12

Fingerprint

Feedback

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Roscoe, R., Kugler, D., Crossley, S. A., Weston, J. L., & McNamara, D. (2012). Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 (pp. 466-471)

Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback. / Roscoe, Rod; Kugler, Danica; Crossley, Scott A.; Weston, Jennifer L.; McNamara, Danielle.

Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25. 2012. p. 466-471.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Roscoe, R, Kugler, D, Crossley, SA, Weston, JL & McNamara, D 2012, Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback. in Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25. pp. 466-471, 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25, Marco Island, FL, United States, 5/23/12.
Roscoe R, Kugler D, Crossley SA, Weston JL, McNamara D. Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25. 2012. p. 466-471
Roscoe, Rod ; Kugler, Danica ; Crossley, Scott A. ; Weston, Jennifer L. ; McNamara, Danielle. / Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback. Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25. 2012. pp. 466-471
@inproceedings{93305919526b461f80d22786784144f4,
title = "Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback",
abstract = "Current computer-based tools for writing instruction show high scoring accuracy but uncertain instructional efficacy. One explanation is that these systems may not effectively communicate valid and appropriate formative feedback. In this paper, we describe an exploratory method for developing feedback algorithms that are grounded in writing pedagogy. The resulting threshold algorithms are shown to be meaningfully related to essay quality and informative regarding individualized, formative feedback for writers.",
author = "Rod Roscoe and Danica Kugler and Crossley, {Scott A.} and Weston, {Jennifer L.} and Danielle McNamara",
year = "2012",
language = "English (US)",
isbn = "9781577355588",
pages = "466--471",
booktitle = "Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25",

}

TY - GEN

T1 - Developing pedagogically-guided threshold algorithms for intelligent automated essay feedback

AU - Roscoe, Rod

AU - Kugler, Danica

AU - Crossley, Scott A.

AU - Weston, Jennifer L.

AU - McNamara, Danielle

PY - 2012

Y1 - 2012

N2 - Current computer-based tools for writing instruction show high scoring accuracy but uncertain instructional efficacy. One explanation is that these systems may not effectively communicate valid and appropriate formative feedback. In this paper, we describe an exploratory method for developing feedback algorithms that are grounded in writing pedagogy. The resulting threshold algorithms are shown to be meaningfully related to essay quality and informative regarding individualized, formative feedback for writers.

AB - Current computer-based tools for writing instruction show high scoring accuracy but uncertain instructional efficacy. One explanation is that these systems may not effectively communicate valid and appropriate formative feedback. In this paper, we describe an exploratory method for developing feedback algorithms that are grounded in writing pedagogy. The resulting threshold algorithms are shown to be meaningfully related to essay quality and informative regarding individualized, formative feedback for writers.

UR - http://www.scopus.com/inward/record.url?scp=84865035365&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865035365&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84865035365

SN - 9781577355588

SP - 466

EP - 471

BT - Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

ER -