A Hierarchical Classification Approach to Automated Essay Scoring /

A Hierarchical Classification Approach to Automated Essay Scoring / Danielle S. McNamara, Scott A. Crossley and Rod D. Roscoe.

This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies onmachine learning techniques that compute essay scores using a set of text variables. Unlike previous studies that rely on regression models, this...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: McNamara, Danielle S., Crossley, Scott A. (Author), Roscoe, Rod D. (Author), Allen, Laura K. (Author), Dai, Jianmin (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2015.
Subjects:
Automation.
Scoring.
Essays.
Persuasive Discourse.
Grade 9.
Grade 11.
College Freshmen.
Time.
Accuracy.
Feedback (Response)
Word Frequency.
Classification.
Rating Scales.
Multivariate Analysis.
Vocabulary.

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Call Number: ED585773
ED585773 Available

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