Item Distiller: Text Retrieval for Computer-Assisted Test Item Creation NLP

Author(s):

Higgins, Derrick

Publication Year:

2007

Report Number:

RM-07-05

Source:

ETS Research Memorandum

Document Type:

Report

Page Count:

17

Subject/Key Words:

Item Distiller, Grammar, Information Retrieval, Item Creation, Item Modeling, Natural Language Processing (NLP), Automated Scoring and Natural Language Processing, Educational Applications of Natural Language Processing

Abstract

This paper describes Item Distiller, a tool developed at ETS to aid in the creation of sentence-based items. Item Distiller enables users to search for sentences that contain specific words, phrases, or grammatical constructions, so that these sentences can be edited to produce finished items. This approach to test authoring is both more efficient than writing items from scratch and more principled, due to its links to item modeling.

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