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.

Dasaro, F., Perticone, V., Tabacchi, M. (2013). A fuzzy methodology to alleviate information overload in elearning. In Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (pp. 161-167). Atlantis Press.

A fuzzy methodology to alleviate information overload in elearning

TABACCHI, Marco
2013-01-01

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.
2013
978-90786-77-78-9
Dasaro, F., Perticone, V., Tabacchi, M. (2013). A fuzzy methodology to alleviate information overload in elearning. In Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (pp. 161-167). Atlantis Press.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/83710
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