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

by Mohamed El Alami, Fernando De Arriaga
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 10
Year of Publication: 2014
Authors: Mohamed El Alami, Fernando De Arriaga
10.5120/17564-8192

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 },
issue_date = { August 2014 },
volume = { 100 },
number = { 10 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number10/17564-8192/ },
doi = { 10.5120/17564-8192 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:28.176147+05:30
%A Mohamed El Alami
%A Fernando De Arriaga
%T Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 10
%P 40-46
%D 2014
%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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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

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