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

Mohamed ElAlami | Zendy; Fernando de Arriaga | Zendy

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

Author(s) -

Mohamed ElAlami,

Fernando de Arriaga

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/17564-8192

Subject(s) - computer science , cognitive computing , fuzzy logic , cognition , artificial intelligence , e learning , intelligent decision support system , human–computer interaction , machine learning , the internet , world wide web , psychology , neuroscience

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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