Research Article

Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems

by  Mohamed El Alami, Fernando De Arriaga
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Issue 10
Published: August 2014
Authors: Mohamed El Alami, Fernando De Arriaga
10.5120/17564-8192
PDF

Mohamed El Alami, Fernando De Arriaga . Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems. International Journal of Computer Applications. 100, 10 (August 2014), 40-46. DOI=10.5120/17564-8192

                        @article{ 10.5120/17564-8192,
                        author  = { Mohamed El Alami,Fernando De Arriaga },
                        title   = { Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 100 },
                        number  = { 10 },
                        pages   = { 40-46 },
                        doi     = { 10.5120/17564-8192 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Mohamed El Alami
                        %A Fernando De Arriaga
                        %T Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems%T 
                        %J International Journal of Computer Applications
                        %V 100
                        %N 10
                        %P 40-46
                        %R 10.5120/17564-8192
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

A new generation of Intelligent E-Learning systems (ILS) has been designed and implemented by means of the construction of an agent factory, NEOCAMPUS2, able to produce "ad hoc" multi-agent structures for developing ILS. The paper describes some fuzzy assessment techniques suitable to be used with affective and cognitive computing and gives some results obtained with DYNAMICS2, a NEOCAMPUS2 spin-off ILS. The positive results, so far obtained, encourage the introduction of those fuzzy techniques in all NEOCAMPUS2 spin-off systems dealing with affective and cognitive computing, now under way.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Affective computing intelligent e-learning multiagent systems fuzzy logic cognitive modelling student's assessment

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