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ERIC Number: EJ1109295
Record Type: Journal
Publication Date: 2015-Dec
Pages: 19
Abstractor: As Provided
ISSN: EISSN-2330-8516
Automated Scoring of Speaking Tasks in the Test of English-for-Teaching ("TEFT"™). Research Report. ETS RR-15-31
Zechner, Klaus; Chen, Lei; Davis, Larry; Evanini, Keelan; Lee, Chong Min; Leong, Chee Wee; Wang, Xinhao; Yoon, Su-Youn
ETS Research Report Series, Dec 2015
This research report presents a summary of research and development efforts devoted to creating scoring models for automatically scoring spoken item responses of a pilot administration of the Test of English-for-Teaching ("TEFT"™) within the "ELTeach"™ framework.The test consists of items for all four language modalities: reading, listening, writing, and speaking. This report only addresses the speaking items, which elicit responses ranging from highly predictable to semipredictable speech from nonnative English teachers or teacher candidates. We describe the components of the system for automated scoring, comprising an automatic speech recognition (ASR) system, a set of filtering models to flag nonscorable responses, linguistic measures relating to the various construct subdimensions, and multiple linear regression scoring models for each item type. Our system is set up to simulate a hybrid system whereby responses flagged as potentially nonscorable by any component of the filtering model are routed to a human rater, and all other responses are scored automatically by our system.
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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