DocumentCode
1874734
Title
A similarity-based theory of controlling MCQ difficulty
Author
Alsubait, Tahani ; Parsia, Bijan ; Sattler, Ulrike
Author_Institution
Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK
fYear
2013
fDate
23-25 Sept. 2013
Firstpage
283
Lastpage
288
Abstract
Several attempts have already been made to automate the generation of assessment questions. These attempts were mainly technical and lacked a theoretical backing. We explore psychological and educational theories to support the development of principled methods to generate questions and control their properties. We present a similarity-based theory to control the difficulty of multiple-choice questions and show its practicality and consistency with the psychological and educational theories.
Keywords
computer aided instruction; ontologies (artificial intelligence); MCQ difficulty; assessment question generation automation; educational theories; multiple-choice questions; ontologies; psychological theories; similarity-based theory; Atmospheric measurements; Birds; Cognition; Diseases; Ontologies; Psychology; Taxonomy; Ontologies; Question generation; Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Learning and e-Technologies in Education (ICEEE), 2013 Second International Conference on
Conference_Location
Lodz
Print_ISBN
978-1-4673-5093-8
Type
conf
DOI
10.1109/ICeLeTE.2013.6644389
Filename
6644389
Link To Document