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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dehai Zhang Yao Zhu |
| Copyright Year | 2007 |
| Description | Author affiliation: Yunnan Univ., Kunming (Dehai Zhang) |
| Abstract | It is a common practice that learners (human beings or intelligent agent) estimate the difficulty level of their learning tasks. In this paper, we present an ontology comparison based method to measure the difficulty level by comparing target knowledge the learner wants to learn and the knowledge the learner already has. Our method proposes a set of measures that compare the differences of ontologies from two perspectives, the structural and the conceptual. Based on the result of comparing two ontologies, we defined the learning difficulty formally, and gave an algorithm to compute it. |
| Starting Page | 699 |
| Ending Page | 703 |
| File Size | 342454 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769528748 |
| DOI | 10.1109/FSKD.2007.391 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Electronic learning Laboratories Humans Information processing Knowledge representation Ontologies Birds Software measurement Intelligent agent |
| Content Type | Text |
| Resource Type | Article |
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