Computational Intelligence for Communication and Cooperation Guidance in Adaptive E-Learning Systems
| dc.contributor.author | Köck, Mirjam | de_DE |
| dc.contributor.editor | Hartmann, Melanie | de_DE |
| dc.contributor.editor | Krause, Daniel | de_DE |
| dc.contributor.editor | Nauerz, Andreas | de_DE |
| dc.date.accessioned | 2017-11-15T15:00:45Z | |
| dc.date.available | 2017-11-15T15:00:45Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Adaptivity has become a prominent research topic during the past decades. There is a variety of application areas where adaptation can add benefit to systems, reaching from shopping portals to e-learning platforms. Despite the large body of work, Computational Intelligence (CI) techniques have been under-explored and therefore also under-exploited within the area of useradaptive systems. This paper discusses the potential of employing CI approaches for the implementation of adaptivity within e-learning systems. Furthermore, it identifies scenarios where these techniques can improve the performance of an adaptive component. Specific focus is placed on the provision of guidance in e-learning systems, in particular with respect to communication/cooperation (as opposed to traditional focus on guiding learners through learning materials). | |
| dc.identifier.uri | http://abis.l3s.uni-hannover.de/images/proceedings/abis2008/abis2008_koeck.pdf | de_DE |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/5078 | |
| dc.language.iso | en | de_DE |
| dc.relation.ispartof | 16th Workshop on Adaptivity and User Modeling in Interactive Systems | de_DE |
| dc.title | Computational Intelligence for Communication and Cooperation Guidance in Adaptive E-Learning Systems | de_DE |
| dc.type | Text/Conference Paper | |
| gi.document.quality | digidoc |