DocumentCode
2953393
Title
Applying knowledge engineering methods to didactic knowledge first steps towards an ultimate goal
Author
Knauf, Rainer ; Sakurai, Yoshitaka ; Tsuruta, Setsuo
Author_Institution
Fac. of Comput. Sci. & Autom., Univ. of Ilmenau, Ilmenau
fYear
2008
fDate
1-8 June 2008
Firstpage
38
Lastpage
45
Abstract
Generally, learning systems suffer from a lack of an explicit and adaptable didactic design. Since E-Learning systems are digital by their very nature, their introduction rises the issue of modeling the didactic design in a way that implies the chance to apply Knowledge Engineering Techniques (like Machine Learning and Data Mining). A modeling approach called storyboarding, is outlined here. Storyboarding is setting the stage to apply Knowledge Engineering Technologies to verify and validate the didactics behind a learning process. Moreover, didactics can be refined according to revealed weaknesses and proven excellence and successful didactic patterns can be inductively inferred by analyzing the particular knowledge processing and its alleged contribution to learning success.
Keywords
computer aided instruction; knowledge engineering; learning (artificial intelligence); adaptable didactic design; data mining; didactic knowledge; e-learning systems; explicit didactic design; knowledge engineering methods; knowledge engineering technologies; knowledge processing; machine learning; storyboarding; Electronic learning; Electrophysiology; Employment; Humans; Knowledge engineering; Organizing; Process design; Shape; Software systems; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4633764
Filename
4633764
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