{"title":"Captivate short answer evaluator","authors":"Vijay Srivastava, C. Bhattacharyya","doi":"10.1109/MITE.2013.6756317","DOIUrl":null,"url":null,"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.","PeriodicalId":284844,"journal":{"name":"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MITE.2013.6756317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
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.
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