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dc.contributor.author | Hasnine, Mohammad Nehal | en |
dc.contributor.author | Flanagan, Brendan | en |
dc.contributor.author | Ishikawa, Masatoshi | en |
dc.contributor.author | Ogata, Hiroaki | en |
dc.contributor.author | Mouri, Kousuke | en |
dc.contributor.author | Kaneko, Keiichi | en |
dc.contributor.alternative | 緒方, 広明 | ja |
dc.date.accessioned | 2019-08-06T06:59:43Z | - |
dc.date.available | 2019-08-06T06:59:43Z | - |
dc.date.issued | 2019-03 | - |
dc.identifier.uri | http://hdl.handle.net/2433/243255 | - |
dc.description | [LAK’19: 9th International Learning Analytics and Knowledge] March 4-8, 2019; Tempe, Arizona, USA | en |
dc.description.abstract | This paper introduces a platform for image recommendation that can be used in informal learning of foreign words. The platform is based on a distributional semantics model (DSM) that is designed to recommend Feature-based Context-specific Appropriate Images (FCAIs) for representing a word. This technology is for a context-aware ubiquitous learning system that captures ubiquitous learning logs from various learning scenarios. This paper briefly discusses the data capturing tool, methods of employing learning analytics for ubiquitous learning logs analysis, natural language processing techniques applied for wordbank creation, and image embedding methods employed for feature analysis, development of an algorithm that determines the most appropriate FCAI images, and related scientific issues. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Society for Learning Analytics Research (SoLAR) | en |
dc.rights | This work is published under the terms of the Creative Commons Attribution- Noncommercial-ShareAlike 3.0 Australia Licence. | en |
dc.subject | Image recommendation | en |
dc.subject | lifelogs analytics | en |
dc.subject | ubiquitous learning | en |
dc.subject | word learning | en |
dc.title | A Platform for Image Recommendation in Foreign Word Learning | en |
dc.type | conference paper | - |
dc.type.niitype | Conference Paper | - |
dc.identifier.jtitle | Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK'19) | - |
dc.identifier.spage | 187 | - |
dc.identifier.epage | 188 | - |
dc.textversion | publisher | - |
dc.address | Kyoto University | en |
dc.address | Kyoto University | en |
dc.address | Tokyo Seitoku University | en |
dc.address | Kyoto University | en |
dc.address | Tokyo University of Agriculture and Technology | en |
dc.address | Tokyo University of Agriculture and Technology | en |
dc.relation.url | https://www.solaresearch.org/wp-content/uploads/2019/08/LAK19_Companion_Proceedings.pdf | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 16H06304 | - |
datacite.awardNumber | 18H05745 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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