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ERIC Number: EJ1109919
Record Type: Journal
Publication Date: 2012-Dec
Pages: 52
Abstractor: As Provided
ISSN: EISSN-2330-8516
From Biology to Education: Scoring and Clustering Multilingual Text Sequences and Other Sequential. Research Report. ETS RR-12-25
Sukkarieh, Jane Z.; von Davier, Matthias; Yamamoto, Kentaro
ETS Research Report Series, Dec 2012
This document describes a solution to a problem in the automatic content scoring of the multilingual character-by-character highlighting item type. This solution is language independent and represents a significant enhancement. This solution not only facilitates automatic scoring but plays an important role in clustering students' responses; consequently, it has a nontrivial impact on the refinement of the items and/or their scoring guidelines. Furthermore, though designed for a specific problem, the proposed solution is general enough for any educational task that can be transformed into a sequential one. To name a few: It can be used for a set of actions expected from a student in simulations or learning trajectories as projected by a teacher, inside an intelligent tutoring system, or even in a game--or it can simply be used for a set of student clicks, button selections, or keyboard hits expected to reach a correct answer. This solution provides flexibility for existing automatic-scoring techniques and potentially could provide more flexibility if coupled with statistical data-mining techniques.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A