Paper Info
Title
A greedy knowledge acquisition method for the rapid prototyping of knowledge structures
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.
Year
DOI
Venue
2005
10.1145/1088622.1088673
K-CAP
Keywords
DocType
ISBN
expert software engineer,greedy knowledge acquisition method,data grap,new greedy knowledge,classical knowledge acquisition method,online knowledge acquisition schedule,optimal user-adaptive,acquisition procedure,grap interactively,software design pattern,knowledge structure,rapid prototyping,computational complexity,transitive closure,software engineering
Conference
1-59593-163-5
Citations 
PageRank 
References 
2
0.48
2
Authors
3
Name
Order
Citations
PageRank
Claus Möbus15815.18
Heiko Seebold2131.86
Hilke Garbe3214.69