Open AccessAUTOMATED SCORING OF SHORT‐ANSWER OPEN‐ENDED GRE ® SUBJECT TEST ITEMS
Author(s) -
Attali Yigal,
Powers Don,
Freedman Marshall,
Harrison Marissa,
Obetz Susan
Publication year - 2008
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.2008.tb02106.x
Subject(s) - subject (documents) , test (biology) , correctness , computer science , psychology , scoring system , quality (philosophy) , natural language processing , artificial intelligence , mathematics education , information retrieval , world wide web , programming language , medicine , paleontology , philosophy , surgery , epistemology , biology
This report describes the development, administration, and scoring of open‐ended variants of GRE ® Subject Test items in biology and psychology. These questions were administered in a Web‐based experiment to registered examinees of the respective Subject Tests. The questions required a short answer of 1‐3 sentences, and responses were automatically scored by natural language processing methods, using the c‐rater ™ scoring engine, immediately after participants submitted their responses. Participants received immediate feedback on the correctness of their answers, and an opportunity to revise their answers. Subsequent human scoring of the responses allowed an evaluation of the quality of automated scoring. This report focuses on the success of the automated scoring process. A separate report describes the feedback and revision results.