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- W2744436404 abstract "Despite reusability being a Learning Objects (LO) core feature, sometimes they demand modifications to fit the new use context. This adaptation process must be easy and rapid. However, several LO are produced in a way that changes need to be done at source code, requiring technical knowledge. Guided Customization (GC) aims at enabling the user to execute adaptations without this requirement. It allows changes at interface level, which simplifies customization of some resource aspects. LO with GC strategy are named Customizable Learning Objects (CLO). However, when CLO and their Customized Versions (CV) are stored like a package of files in a traditional Learning Object Repository (LOR), duplications are scattered throughout the repository, since different CV of same CLO have common unchanged files. This paper presents a proposal of repository that avoids this replication. Considering that CLO executable and media files (images, audios and videos) are the ones which consume more space in repository, repository evaluation demonstrates that in worst case scenario (all media files are replaced on customization) the proposal behaves like a traditional LOR concerning disk space consumption. In the best case scenario (no media file is replaced) the proposed approach proves more efficient, whereas it shares unchanged media." @default.
- W2744436404 created "2017-08-17" @default.
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- W2744436404 date "2017-07-01" @default.
- W2744436404 modified "2023-09-26" @default.
- W2744436404 title "CLOVeR: An Optimized Repository for Customizable Learning Objects" @default.
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- W2744436404 doi "https://doi.org/10.1109/icalt.2017.114" @default.
- W2744436404 hasPublicationYear "2017" @default.
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