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P. Jacques and R. M. Vicari, “A BDI Approach to Infer Student’s Emotions in an Intelligent Learning Environment,” Computers & Education, Vol. 49, No. 2, 2007, pp. 360-384.
http://dx.doi.org/10.1016/j.compedu.2005.09.002

has been cited by the following article:

• TITLE: An Affective-Motivational Interface for a Pedagogical Agent

  AUTHORS: Martha Mora-Torres, Ana Lilia Laureano-Cruces, Fernando Gamboa-Rodríguez, Javier Ramírez-Rodríguez, Lourdes Sánchez-Guerrero

  KEYWORDS: Affective-Motivational Model; Intelligent Learning System; Pedagogical Agent; Affective Computing; Simulation of Emotions

  JOURNAL NAME: International Journal of Intelligence Science, Vol.4 No.1, December 17, 2013

  ABSTRACT: This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference engine is based on an affective-motivational model. This model is implemented by using artificial intelligence technique called fuzzy cognitive maps.