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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/14992
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| Title: | Considering Model-based Adaptivity for Learning Objects |
| Authors: | H-C- Wang
李蔡彥 |
| Date: | 2004-04 |
| Issue Date: | 2008-12-16 16:42:14 (UTC+8) |
| Abstract: | 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. |
| Relation: | Learning Technology newsletter, 6(2), |
| Data Type: | article |
| Appears in Collections: | [資訊科學系] 期刊論文
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Size | Format | |
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| ltn204.pdf | | 156Kb | Adobe PDF2 | 744 | View/Open |
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