Singular Choices for Multiple Choice

AU Library Scholarly Publishing Services - Ebooks

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Field Value
 
Title Singular Choices for Multiple Choice
 
Creator Danvy, Olivier
Rasmussen, Martin E. K.; Department of Computer Science, Aarhus University
 
Subject scoring functions, multiple-choice exams
 
Description We revisit and evolve Frandsen and Schwartzbach's axiomatic scoring strategy for multiple-choice exams that credits partial knowledge and levels out guessing.The evolved scoring strategy equalizes the implicit weight of each question by default and makes this weight an optional parameter for each question.Partial credit can also be modulated, which provides a measure of the spread of knowledge of the examinee.Based on a decade of experience in a first-year university course, we find the evolved exams to be more understandable and predictible both for the examiner and for the examinees.Finally, we present a family of scoring functions that fit the model.
 
Publisher AU Library Scholarly Publishing Services
 
Date 2017-06-22
 
Type Book
text
 
Format Digital
 
Identifier http://ebooks.au.dk/index.php/aul/catalog/book/206
ISBN-13
 
Source AU Library Scholarly Publishing Services;
 
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