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

by Mohamed El Alami, Fernando De Arriaga
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
  1. de Arriaga, F. , El Alami, M. , Ugena, A. , 2004, Aprendizaje Centrado en el Estudiante: Aprendizaje por Proyectos, in Psicología Educacional, ed: Sandra Castañeda, México.
  2. de Arriaga F. , Arriaga A. , El Alami M. , 2005, Multi-Agent Platform for Educational Research in Intelligent E-Learning Systems, Journal of Advanced Technology on Education, Vol. 1 (4), pp. 150-155.
  3. El Alami, M. , de Arriaga, F. , 2004, Aprendizaje Centrado en el Estudiante: Aprendizaje por Problemas, in Psicología Educacional, Ed: Sandra Castañeda, México.
  4. Vassileva, J. , Geer J. , et al. , 1999, A Multi-Agent Design for Peer-Help Environment, Artificial Intelligence in Education, eds: S. P. Lajoie, M Vivet, pp. 38-45, IOS Press.
  5. Canut, M. , Gouarderes, F. , Sanchis, E. , 1999, The Systemion: A New Agent Model to Design Intelligent Tutoring Systems, Artificial Intelligence in Education, Eds: S. P. Lajoie, M. Vivet, pp. 54-63, IOS Press.
  6. El Alami, M. , de Arriaga, F. , Ugena, A. , 1999, SIMUL: An Intelligent Simulation Environment for Interdisciplinary Projects, in Project Studies, ed: O. Olensen, Roskilde University Press.
  7. Laureano, A. L. , de Arriaga, F. , 1998, Multi-Agent Architecture for Intelligent Tutoring Systems, Interactive Learning Environments, 6, pp. 225-250.
  8. Laureano, A. L. , de Arriaga, F. , 2000, Reactive Agent Design for Intelligent Tutoring Systems, Cybernetics and Systems, 31, pp. 1-47.
  9. Picard, R. W. , 1997, Affective computing. The MIT Press, Cambridge MA.
  10. Kinard, E. M. , 2001, Perceived and actual academic competence in maltreated children. Child Abuse and Neglect, Vol. 25, 1, pp. 33-45.
  11. LeDoux, J. , 1998, The emotional brain: The mysterious underpinnings of emotional life. Weidenfeld and Nicholson, London.
  12. Panitc, M. , 2005, Affective Comnputing, Idea Group Inc.
  13. D'Mello et al. , 2005, Integrating Affect Sensors in an Intelligent Tutoring System, Proceedings International Conference on Affect Computing and Intelligent Interaction, Beijing, Springer Verlag.
  14. Picard, R. W. , Daily, S. B. , 2005, Evaluating Affective Interactions: Alternatives to asking what users feel, Proceedings International Conference on Affect Computing and Intelligent Interaction, Beijing, Springer Verlag.
  15. Picard, R. W. , 2003, Affective Computing: Challenges, White Paper, MIT Technical Report.
  16. de Arriaga, F. , El Alami, M. , 2006, Affective Computing and Intelligent E-Learning Systems, Proceedings IADAT International Conference on Education e-2006, Barcelona, pp. 115-120.
  17. de Arriaga, F. , Gingell, C. , Arriaga, A. , Arriaga, J. , Arriaga, F. Jr. , 2008, A General Student's Model for Intelligent E-Leaning Systems, Proceedings ECC'08, 2nd European Computing Conference, Malta.
  18. Arriaga, A. , El Alami, M. , de Arriaga, F. , 2003, NEOCAMPUS2: New Trends in the Functionality of Intelligent Learning Systems, Proceedings IASTED International Conference on Artificial Intelligence. Benalmadena, pp. 380-386.
  19. Biswas, R. , 1995, An Application of Fuzzy Sets in Students' Evaluation, Fuzzy Sets and Systems, 74, pp. 187-194.
  20. Chen, S. , Lee, Ch. , 1999, New Methods for Students' Evaluation Using Fuzzy Sets, Fuzzy Sets and Systems, 104, pp. 209-218.
  21. de Arriaga F. , Laureano A. L. , El Alami M. , Arriaga A. , 2002, Some Applications of Fuzzy Logic to Intelligent Tutoring Systems, in Educational Technology, Vol. 2, pp. 1222-1227.
  22. Honey, P. , 1986, Using our Learning Styles, Ed: A. Mumford.
  23. Alonso, C. , Gallego, D. , 1994, Estilos de Aprendizaje, Ed. Mensajero.
  24. Ortony, A. , Clore, G. , Collins, A. , 1988, The Cognitive Structure of Emotions, Cambridge, UK, Cambridge University Press.
  25. El Alami, M, de Arriaga, F. , 2013, Intelligent E-Learning Systems and the Transfer of Novices into Experts, International Journal of Computer Applications, Vol. 82, nº 8, Novembre, pp. 44-54.
  26. A. L. Laureano, F. de Arriaga, M. García-Alegre, 2001, Cognitive Task Analysis: A Proposal to Model Reactive Behaviours, Journal of Experimental and Theoretical Artificial Intelligence, 13, pp. 227-239.
  27. de Arriaga, F. , El Alami, M. , 2004, NEOCAMPUS2: A Multi-Agent Environment for Educational Research and Applications", in Innovation, Technology and Research in Education, Iadat, pp. 194-199.
  28. El Alami, M. , de Arriaga, F. , 2003, Web-Based Tutors for Collaborative E-Learning, in Advances in Technlogy-Based Education, Vol. III, Formatex, pp. 2009-2014.
  29. de Arriaga, F. , Arriaga, A. , El Alami1, M. , 2006, Experience Management: Models and Implementation, in Current Developments in Technology-Assisted Education, Formatex, pp. 841-849.
Index Terms

Computer Science
Information Sciences

Keywords

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