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dc.contributor.author | Yang, Christopher | en |
dc.contributor.author | Flanagan, Brendan | en |
dc.contributor.author | Akcapinar, Gokhan | en |
dc.contributor.author | Ogata, Hiroaki | en |
dc.contributor.alternative | 緒方, 広明 | ja |
dc.date.accessioned | 2019-07-04T06:38:15Z | - |
dc.date.available | 2019-07-04T06:38:15Z | - |
dc.date.issued | 2018-12-20 | - |
dc.identifier.issn | 1793-7078 | - |
dc.identifier.uri | http://hdl.handle.net/2433/242868 | - |
dc.description.abstract | E-book reader supports users to create digital learning footprints in many forms like highlighting sentences or taking memos. Nowadays, it also allows an instructor to update their e-books in the e-book reader. However, e-book users often face problems when trying to find learning footprints they made in a new version e-book. Thus, users’ reading experience continuity across e-book revisions is hard to be maintained and seems to become a shortcoming within the e-book system. In this paper, in order to maintain users’ reading experience continuity, we deal with the transfer of learning footprints such as a marker, memo, and bookmark across e-book revisions on an e-book reader in a coursework scenario. We first give introduction and related works to demonstrate how researchers dedicated on the problem mentioned in this paper and page similarity comparison. Then, we compare three page similarity comparison methods using similarity computing models to compute page pairwise similarity in image level, text level, and image & text level. In the analysis, for each level, we analyze the performance of transferring learning footprint across e-book revisions and also the optimal threshold for similar page determination. After that, we give the analysis results to show the performances of three methods in image level, text level, and image & text level, and then, the error analysis is presented to specify the error types that occur in the results. We then propose page image & text similarity comparison as the optimal method to automatically transfer learning footprints across e-book revisions based on the analysis results and error analysis among three compared methods. Finally, the discussion and conclusions are shown in the end of this paper. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | © The Author(s) 2018 | en |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | en |
dc.subject | E-book reader | en |
dc.subject | Learning footprint | en |
dc.subject | Page similarity comparison | en |
dc.subject | Image similarity processing | en |
dc.subject | Text similarity processing | en |
dc.title | Maintaining reading experience continuity across e-book revisions | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Research and Practice in Technology Enhanced Learning | en |
dc.identifier.volume | 13 | - |
dc.relation.doi | 10.1186/s41039-018-0093-9 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 24 | - |
dc.address | Graduate School of Informatics, Kyoto University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University・Department of Computer Education and Instructional Technology, Hacettepe University | en |
dc.address | Academic Center for Computing and Media Studies, Kyoto University | en |
dc.identifier.pmid | 30613262 | - |
dcterms.accessRights | open access | - |
dc.identifier.eissn | 1793-7078 | - |
出現コレクション: | 学術雑誌掲載論文等 |
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