A fuzzy methodology to alleviate information overload in elearning

Marco Elio Tabacchi, Rudolf Seising

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Some aspects of eLearning experience can be en- hanced in a very natural way by using the basic tools offered by fuzzy logic. As a matter of exam- ple, consider the uncontrolled growth of informa- tion produced in a collaborative-oriented context, in which each participant (e.g. students, teachers) is able to insert and share new contents (e.g. com- ments, texts) concerning a university course. All the incrementally added pieces of information can be evaluated in several ways: by the intervention of a “dictator” (e.g. the teacher), using a rating form, or even according to the frequency of access. As contents rapidly become unusable for the effects of information overload, basic tools of fuzzy logic such as membership functions and measures of fuzziness can help to distinguish between relevant and triv- ial content, without thereby canceling any contri- bution. This very same idea can of course also be applied to different contexts.
Original languageEnglish
Title of host publicationProceedings of the 8th conference of the European Society for Fuzzy Logic and Technology
Pages161-167
Number of pages7
Publication statusPublished - 2013

Publication series

NameADVANCES IN INTELLIGENT SYSTEMS RESEARCH

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computational Mathematics

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