Toward AI-enhanced Computer-supported Peer Review in Legal Education

被引：2
作者：
Ashley, Kevin [1 ,2 ]
Goldin, Ilya [2 ]
机构：
[1] Univ Pittsburgh, Sch Law, Learning Res & Dev Ctr, Pittsburgh, PA 15260 USA
[2] Univ Pittsburgh Intelligent Syst Program, Pittsburgh, PA USA
来源：
LEGAL KNOWLEDGE AND INFORMATION SYSTEMS | 2011年 / 235卷
关键词：
Computer-supported peer review; legal education; Bayesian data analysis; MODEL;
D O I：
10.3233/978-1-60750-981-3-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Applying Bayesian data analysis to model a computer-supported peerreview process in a legal class writing exercise yielded pedagogically useful information about student-understanding of problem-specific legal concepts and of more general domain-related legal writing criteria and about the criteria's effectiveness. The approach suggests how AI and Law can impact legal education.
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页码：3 / +
页数：2
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