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題名 Considering Model-based Adaptivity for Learning Objects 作者 H-C- Wang
李蔡彥日期 2004-04 上傳時間 16-十二月-2008 16:42:14 (UTC+8) 摘要 Adaptive Hypermedia (AH) and IMS Simple Sequencing (SS) are different approaches but both intend to attain a similar goal: tailored content for learning, just as Abdullah et al. discussed in [1]. However, these two distinct approaches have their own merits and defects. For SS, it takes the conformity with learning objects (LO) as the prime principle, and thus become the main approach to achieve dynamic presentation under the paradigm of using LOs to wrap up learning materials. But due to the absence of explicit domain and user models, SS cannot perform adaptivity in terms of learners’ cognition, such as prior knowledge, learning styles, etc. On the other hand, AH systems focus on constructing explicit models that represent various aspects of information related to decision making, such as user’s prior knowledge, preferences, learning domain, pedagogical knowledge, etc. Therefore, AH systems could perform elaborate decision making based on these models. However, issues like interoperability and reusability remain challenging to researchers in the AH field. 關聯 Learning Technology newsletter, 6(2), 資料類型 article dc.creator (作者) H-C- Wang en_US dc.creator (作者) 李蔡彥 zh_TW dc.date (日期) 2004-04 en_US dc.date.accessioned 16-十二月-2008 16:42:14 (UTC+8) - dc.date.available 16-十二月-2008 16:42:14 (UTC+8) - dc.date.issued (上傳時間) 16-十二月-2008 16:42:14 (UTC+8) - dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/14992 - dc.description.abstract (摘要) Adaptive Hypermedia (AH) and IMS Simple Sequencing (SS) are different approaches but both intend to attain a similar goal: tailored content for learning, just as Abdullah et al. discussed in [1]. However, these two distinct approaches have their own merits and defects. For SS, it takes the conformity with learning objects (LO) as the prime principle, and thus become the main approach to achieve dynamic presentation under the paradigm of using LOs to wrap up learning materials. But due to the absence of explicit domain and user models, SS cannot perform adaptivity in terms of learners’ cognition, such as prior knowledge, learning styles, etc. On the other hand, AH systems focus on constructing explicit models that represent various aspects of information related to decision making, such as user’s prior knowledge, preferences, learning domain, pedagogical knowledge, etc. Therefore, AH systems could perform elaborate decision making based on these models. However, issues like interoperability and reusability remain challenging to researchers in the AH field. - dc.format application/ en_US dc.format.extent 0 bytes - dc.format.mimetype application/octet-stream - dc.language en en_US dc.language en-US en_US dc.language.iso en_US - dc.relation (關聯) Learning Technology newsletter, 6(2), en_US dc.title (題名) Considering Model-based Adaptivity for Learning Objects en_US dc.type (資料類型) article en
