As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Applying Bayesian data analysis to model a computer-supported peer-review 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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.