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一个匿名的同行Django分级中的应用

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Grading assignments at a college level takes time and resources, usually in the form of teaching assistants (TA’s). Professors and TA’s cannot easily spend enough time to effectively grade assignments. Peer grading, where identities are known, can be extremely biased and unreliable: if assignments are entirely peer-graded, then grades will quickly inflate as students realize it is mutually beneficial to give high grades. We have developed a web-based system called CLAPTRAP (Classrooms Leveraging Anonymous Participation to Relieve Agonized Professors) which will facilitate peer grading in an anonymous web-based format. To remove incentive to give incorrect grades, “expert” graders (professors and TA’s) will grade papers at random. Also, students will be asked to give their own assignments a grade. When the grades are compared, a reputation mechanism will reward or penalize the student by adjusting his reputation score. Much research has been done on reputation mechanisms in the marke

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claptrap-0.01
grading
.project
.svn
media
.pydevproject
templates
paper
src
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