Fuzzy Assessment for Affective and Cognitive Computing in Intelligent E-learning Systems
M.E. ElAlami, Fernando de Arriaga · International Journal of Computer Applications · 2014
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.