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Toward the Automated Scoring of Written Arguments: Developing an Innovative Approach for Annotation. Research Report. ETS RR-17-11
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Song, Yi; Deane, Paul; Beigman Klebanov, Beata – ETS Research Report Series, 2017
This project focuses on laying the foundations for automated analysis of argumentation schemes, supporting identification and classification of the arguments being made in a text, for the purpose of scoring the quality of written analyses of arguments. We developed annotation protocols for 20 argument prompts from a college-level test under the…
Descriptors: Scoring, Automation, Persuasive Discourse, Documentation