Dimension-based analysis of hypotheticals from supreme court oral argument
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Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
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The transcripts of oral arguments before the US Supreme Court provide interesting opportunities from the viewpoint of legal education. As the pinnacle of legal argumentation, they illustrate, often in dramatic fashion, a sophisticated process of concept formation and testing driven by skillful posing of hypotheticals. Yet it is not easy to get beginning law students to understand the arguments and the underlying processes of hypothesis formation and testing. We introduce a novel project with the dual aims of developing an AI model of concept formation and testing as well as an intelligent tutoring system for beginning law students. We describe a planned experiment in which we will evaluate to what extent law students' study of the Supreme Court oral arguments can be improved by providing detailed and specific self-explanation prompts. It is hypothesized that detailed prompts to explain connections between tests, rationales, dimensions, and hypotheticals will help students to induce adequate mental models of concept formation processes.