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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chih-Ming Chen Ming-Chuan Chen Yi-Lun Li |
| Copyright Year | 2007 |
| Description | Author affiliation: Nat. Chengchi Univ., Taipei (Chih-Ming Chen) |
| Abstract | Currently, online learning is becoming more and more important, but there is still lack of an effective learning performance assessment mechanism on it. Traditional summative evaluation only considers final learning outcomes. However, the use of learning portfolios in a web-based learning environment can be beneficially applied to record the procedure of the learning, evaluate the learning performance of learners, and feed information back to learners in ways that enable the learner to learn better. Accordingly, this study proposes a formative assessment approach using data mining techniques to identify the key formative assessment rules based on the web-based learning portfolios of an individual learner. Moreover, the factor analysis provides benefit in terms of obtaining simple and clear learning assessment rules. |
| Starting Page | 584 |
| Ending Page | 588 |
| File Size | 344301 |
| Page Count | 5 |
| File Format | |
| ISBN | 076952916X |
| DOI | 10.1109/ICALT.2007.189 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-18 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Learning systems Portfolios Data mining Performance analysis Computational intelligence Association rules Electronic learning Materials testing Algorithm design and analysis Clustering algorithms Learning Factor Analysis Learning Performance Assessment Webbased Learning Portfolio |
| Content Type | Text |
| Resource Type | Article |
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