Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology 2013
DOI: 10.2991/eusflat.2013.29
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A fuzzy methodology to alleviate information overload in eLearning

Abstract: Some aspects of eLearning experience can be enhanced in a very natural way by using the basic tools offered by fuzzy logic. As a matter of example, consider the uncontrolled growth of information produced in a collaborative-oriented context, in which each participant (e.g. students, teachers) is able to insert and share new contents (e.g. comments, 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.… Show more

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Cited by 5 publications
(7 citation statements)
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“…Another paper demonstrated how unfiltered information increased the complexity of managing information in online reputation management systems (Yang and Albers, 2013). Ensuring the information environment can filter relevant from irrelevant information reduces the impact of the increasing amount of information (D'Asaro et al. , 2013; Whelan and Teigland, 2011; Yang and Albers, 2013).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another paper demonstrated how unfiltered information increased the complexity of managing information in online reputation management systems (Yang and Albers, 2013). Ensuring the information environment can filter relevant from irrelevant information reduces the impact of the increasing amount of information (D'Asaro et al. , 2013; Whelan and Teigland, 2011; Yang and Albers, 2013).…”
Section: Resultsmentioning
confidence: 99%
“…Information environment: The information environment consists of how and where the information is presented. It is about the design of the interface presenting the information (Chen et al, 2011;Fu et al, 2020;Rutkowski and Saunders, 2010;Strother et al, 2012a) and its ability to filter the information as per the user's information need (D'Asaro et al, 2013;Whelan and Teigland, 2011;Yang and Albers, 2013). Wu et al (2015), through an eye-tracking study, were able to show that interface complexity increased cognitive workload and user efficiency in the context of Light Emitting Diode (LED) manufacturing systems.…”
Section: Information Overload: a Concept Analysismentioning
confidence: 99%
“…Furthermore, fuzzy sets theory can be fruitfully applied to this framework by using a suitable membership function wherever required (D'Asaro et al, 2013a, D'Asaro et al, 2013b. In this way, it is possible to find a suitable solution even when an external constraint prevents the fitness function from being maximized.…”
Section: Discussionmentioning
confidence: 99%
“…Results show that different submissions generate different levels of IO, IO increases confidence in choice, subjective knowledge facilitates IO and effects the subject states of the consumer. D'Asaro, et al [160] discussed contents and evaluations as fuzzy sets. As have shown in the previous section, this approach leads to a simplified treatment of the IO due to the activity of many users contributing to incrementally build a single source of knowledge, without the need to eliminate any content.…”
Section: ) Back End Sub-systemsmentioning
confidence: 99%