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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Mitchell, TJF | - |
dc.contributor.author | Chen, SY | - |
dc.contributor.author | Macredie, RD | - |
dc.coverage.spatial | 28 | en |
dc.date.accessioned | 2006-11-21T12:09:35Z | - |
dc.date.available | 2006-11-21T12:09:35Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Journal of Computer Assisted Learning, 21(1): 53-64(12), Feb 2005 | en |
dc.identifier.uri | http://www.blackwell-synergy.com/loi/jca | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/403 | - |
dc.description.abstract | Prior knowledge is often argued to be an important determinant in hypermedia learning, and may be thought of as including two important elements: domain expertise and system expertise. However, there has been a lack of research considering these issues together. In an attempt to address this shortcoming, this paper presents a study that examines how domain expertise and system expertise influence students’ learning performance in, and perceptions of, a hypermedia system. The results indicate that participants with lower domain knowledge show a greater improvement in their learning performance than those with higher domain knowledge. Furthermore, those who enjoy using the Web more are likely to have positive perceptions of non-linear interaction. Discussions on how to accommodate the different needs of students with varying levels of prior knowledge are provided based on the results. | en |
dc.format.extent | 502858 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Blackwell Science | en |
dc.subject | Domain knowledge | en |
dc.subject | Hypermedia learning | en |
dc.subject | Individual differences | en |
dc.subject | System experience | en |
dc.title | Hypermedia learning and prior knowledge: Domain expertise vs. system expertise | en |
dc.type | Research Paper | en |
dc.identifier.doi | http://dx.doi.org/10.1111/j.1365-2729.2005.00113.x | - |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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jcal-john.pdf | 491.07 kB | Adobe PDF | View/Open |
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