DocumentCode
3474870
Title
Captivate short answer evaluator
Author
Srivastava, Vishnu ; Bhattacharyya, Chandranath
Author_Institution
Adobe Captivate, Adobe Syst. India Pvt. Ltd., Bangalore, India
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
114
Lastpage
119
Abstract
We propose a model for automatically scoring short textual responses in e-learning content. Natural Language Processing (NLP) techniques are used to extract syntactic and semantic structures from the content, which are used to build the model. The proposed approach is planned to be implemented in Adobe Captivate - a popular end-to-end e-learning tool.
Keywords
computer aided instruction; natural language processing; Adobe Captivate; NLP techniques; automatic short textual response scoring; captivate short answer evaluator; e-learning content; end-to-end e-learning tool; natural language processing techniques; semantic structure extraction; syntactic structure extraction; Accuracy; Compounds; Context; Engines; Feature extraction; Nitrogen; Pigments; auto evaluation; captivate; eLearning; short answer;
fLanguage
English
Publisher
ieee
Conference_Titel
MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
Conference_Location
Jaipur
Print_ISBN
978-1-4799-1625-2
Type
conf
DOI
10.1109/MITE.2013.6756317
Filename
6756317
Link To Document