摘要
As web-based courses become more popular, web systems can accumulate large amounts of log data. Because this data is generated by learners' behaviour while studying web-based courses, many researchers agree that analysing web logs could benefit learners, instructors and web-site managers. This paper describes a study that used data-mining techniques in order to analyse learners' online behaviour for the purpose of extracting concept patterns - by transforming general web logs to a content perspective. An important advantage of this approach is that it can be used to identify concept patterns based on learning behaviour - rather than the more conventional browsing patterns based on browsing behaviour.
原文 | ???core.languages.en_GB??? |
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頁(從 - 到) | 27-41 |
頁數 | 15 |
期刊 | Innovations in Education and Teaching International |
卷 | 42 |
發行號 | 1 |
DOIs | |
出版狀態 | 已出版 - 2月 2005 |