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| Content Provider | ACM Digital Library |
|---|---|
| Author | Garbe, Hilke Möbus, Claus Seebold, Heiko |
| Abstract | The main goal of this paper is the presentation of a new GReedy knowledge Acquisition Procedure (GRAP) for rapid prototyping of knowledge structures (KS) or spaces. The classical knowledge acquisition method for this [2] is even for domain experts cognitive demanding and computational complex. GRAP interactively generates an online knowledge acquisition schedule so that experts only have to provide simple nonredundant judgements about the (learning / cognitive) precedence in pairs of (learning / cognitive) objects. From these data GRAP generates a Hasse diagram of the surmise relation from which the knowledge structures and optimal user-adaptive learning paths can be derived. In a case-study we developed with three expert software engineers a knowledge structure and optimal learning paths for 23 software design patterns within a few hours. |
| Starting Page | 211 |
| Ending Page | 212 |
| Page Count | 2 |
| File Format | |
| ISBN | 1595931635 |
| DOI | 10.1145/1088622.1088673 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-10-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Knowledge acquisition Hasse diagrams and concept lattices Interactive greedy acquisition of precedence relations and knowledge structures Interactive greedy construction of transitive closures |
| Content Type | Text |
| Resource Type | Article |
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