Computational Intelligence for Communication and Cooperation Guidance in Adaptive E-Learning Systems

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

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 techniques have been under-explored and therefore also under-exploited within the area of user-adaptive systems. This paper discusses the potential of employing computational intelligence 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 and cooperation (as opposed to traditional focus on guiding learners through learning materials).
Original languageEnglish
Title of host publication16th Workshop on Adaptivity and User Modeling in Interactive Systems
PublisherUniversität Würzburg
Pages32-34
Publication statusPublished - 2008
Event16th Workshop on Adaptivity and User Modeling in Interactive Systems - Würzburg, Germany
Duration: 6 Oct 20088 Oct 2008

Workshop

Workshop16th Workshop on Adaptivity and User Modeling in Interactive Systems
CountryGermany
CityWürzburg
Period06.10.200808.10.2008

Keywords

  • adaptive systems
  • e-learning
  • computational intelligence
  • cooperation
  • guidance

Fingerprint Dive into the research topics of 'Computational Intelligence for Communication and Cooperation Guidance in Adaptive E-Learning Systems'. Together they form a unique fingerprint.

Cite this