Assessment of Emotions in an Affective-Motivational Cognitive Model with Fuzzy Cognitive Map
Ana Lilia Laureano-Cruces, Martha Mora-Torres, Javier Ramírez-Rodríguez, Lourdes Sánchez-Guerrero, Universidad Autónoma Metropolitana.Unidad Azcapotzalco, Mexico ; Fernando Gamboa-Rodríguez, CCADET, Universidad Nacional Autónoma de México, Mexico
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in New Orleans, LA, USA ISBN 978-1-939797-12-4 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
This paper deals with the assessment of emotions in an affective-motivational cognitive model represented by a fuzzy cognitive map. The evaluation is performed according to the emotional theory of Ortony, Clore and Collins (OCC theory). This emotional theory considers local and global variables in the environment described by a cognitive model for the emotional evaluation. In the text the consideration of different kinds of (local and global) variables that are within the environment is shown. This in order to feed the fuzzy cognitive maps to include emotions in the decision making process. In our case study emotional-motivational cognitive model refers specifically to the teaching-learning process.
Laureano-Cruces, A.L., Mora-Torres, M., Ramírez-Rodríguez, J., Sánchez-Guerrero, L. & Gamboa-Rodríguez, F. (2014). Assessment of Emotions in an Affective-Motivational Cognitive Model with Fuzzy Cognitive Map. In T. Bastiaens (Ed.), Proceedings of World Conference on E-Learning (pp. 1110-1115). New Orleans, LA, USA: Association for the Advancement of Computing in Education (AACE).
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