Title :
Captivate short answer evaluator
Author :
Srivastava, Vishnu ; Bhattacharyya, Chandranath
Author_Institution :
Adobe Captivate, Adobe Syst. India Pvt. Ltd., Bangalore, India
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;
Conference_Titel :
MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-1625-2
DOI :
10.1109/MITE.2013.6756317
