ReaderBench goes Online: A Comprehension-Centered Framework for Educational Purposes
Data(s) |
27/09/2016
27/09/2016
2016
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Resumo |
In this paper we introduce the online version of our ReaderBench framework, which includes multi-lingual comprehension-centered web services designed to address a wide range of individual and collaborative learning scenarios, as follows. First, students can be engaged in reading a course material, then eliciting their understanding of it; the reading strategies component provides an in-depth perspective of comprehension processes. Second, students can write an essay or a summary; the automated essay grading component provides them access to more than 200 textual complexity indices covering lexical, syntax, semantics and discourse structure measurements. Third, students can start discussing in a chat or a forum; the Computer Supported Collaborative Learning (CSCL) component provides indepth conversation analysis in terms of evaluating each member’s involvement in the CSCL environments. Eventually, the sentiment analysis, as well as the semantic models and topic mining components enable a clearer perspective in terms of learner’s points of view and of underlying interests. This study is part of the RAGE project. The RAGE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains. |
Identificador |
Gutu, G., Dascalu, M., Trausan-Matu, S., & Dessus, P. (2016). ReaderBench goes Online: A Comprehension-Centered Framework for Educational Purposes. In A. Iftene & J. Vanderdonckt (Eds.), Romanian Conference on Human-Computer Interaction (RoCHI 2016) (pp. 95–102). Iasi, Romania: MATRIX ROM |
Publicador |
Matrix ROM |
Relação |
info:eu-repo/grantAgreement/EC/H2020/644187/EU/Realising an Applied Gaming Eco-system/RAGE |
Direitos |
openAccess |
Palavras-Chave | #sentiment analysis #semantic models #topic mining #automated essay grading #reading strategies #computer supported collaborative learning #readerbench framework #discourse #language parsing and understanding #text analysis |
Tipo |
conferenceObject |