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Erschienen in:
Methods and Algorithms for Fuzzy Cognitive Map-based Modeling Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

6. Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education

verfasst von : A. Peña-Ayala, J. H. Sossa-Azuela

Erschienen in: Fuzzy Cognitive Maps for Applied Sciences and Engineering

Verlag: Springer Berlin Heidelberg

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Abstract

In this chapter we outline a decisions-making approach (DMA) that is based on the representation and simulation of causal phenomena. It applies an extension of the traditional Fuzzy Cognitive Maps called Rules-based Fuzzy Cognitive Maps (RBFCM). This version depicts the qualitative flavor of the object to be modeled and is grounded on the well-sounded fuzzy logic. As a result of a case study in the educational field, we found empirical evidence of the RBFCM usefulness. Our DMA offers decision-making services to the sequencing module of an intelligent and adaptive web-based educational system (IAWBES). According to the student-centered education paradigm, an IAWBES elicits learners’ traits to adapt lectures to enhance their apprenticeship. This RBFCM based DMA models the teaching-learning scenery, simulates the bias exerted by authored lectures on the student’s learning, and picks the lecture option that offers the highest achievement. The results reveal that the experimental group reached higher learning than the control group.

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Vorheriges Kapitel Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management
Nächstes Kapitel Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series
Literatur
1.
Anshakov, O.M., Gergely, T.: Cognitive Reasoning: A Formal Approach. Springer, New York (2010)
2.
Bennane, A.: Tutoring and multi-agent systems: modeling from experiences. Inf. Educ. 9(2), 171–184 (2010)
3.
Benson, N., Hulac D.M., Kranzler J.H.: Independent examination of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV): What does the WAIS-IV measure? Psychol. Assess. 22(1), 121–130 (2010)
4.
Chi, M., VanLehn, K., Litman, D., Jordan, P.: Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies. User Model User-Adap. Inter. 21, 137–180 (2011)CrossRef
5.
Chrysafiadi, K., Virvou, M.: Intelligent interactive multimedia systems and services. Smart innovation, systems and technologies. In: Tsihrintzis, G.A., Virvou, M., Lakhmi, C.J., Howlett, R.J. (eds.) Adaptive Navigation in a Web educational System Using Fuzzy Techniques, vol. 11, pp. 81–90. Springer, Heidelberg (2011)
6.
Chytas, P., Glykas, M., Valiris, G.: Fuzzy cognitive maps: studies in fuzziness and soft computing. In: Glykas, M. (ed.) Software Reliability Modelling Using Fuzzy Cognitive Maps, vol. 247, pp. 217–230. Springer, Heidelberg (2010)
7.
Cohn, A.G., Renz, J.: Foundations of Artificial Intelligence. Handbook of Knowledge Representation. In: van Har-melen, F., Lifschitz, V., Porter, B. (ed.) Qualitative Spatial Representation and Reasoning, vol. 3, pp. 551–596. Elsevier, Amsterdam (2008)
8.
Goel, G., Lallé, S., Luengo, V.: Fuzzy Logic Representation for Student Modelling Case Study on Geometry. LNCS, vol. 7315, pp. 428–433. Springer, Heidelberg (2012)
9.
Guttormsen, S.S., Krueger, H.: Empirical research on the effect of dynamic media for information presentation. In: Proceedings of the International Workshop on Interactive Computer Aided Learning-Experiences and Visions (2001)
10.
Hahn, R.C., Petitti, D.B.: Minnesota Multiphasic Personality Inventory-rated Depression and the Incidence of Breast Cancer. Cancer 61(4), 845–848 (2006)
11.
Kapoor, A., Horvitz, E.: Principles of Lifelong Learning for Predictive User Modeling. LNAI, vol. 4511, pp. 37–46. Springer, Heidelberg (2007)
12.
Modha, D.S., Ananthanarayanan, R., Esser, S.K., Ndirango, E., Sherbondy, A.J., Singh, R.: Cognitive computing. Commun. ACM 54(8), 62–71 (2011)CrossRef
13.
Mokhtar, I.A., Majid, S., Foo, S.: Teaching information literacy through learning styles: the application of Gardner’s multiple intelligences. Libr. Inf. Sci. 40(2), 93–109 (2008)CrossRef
14.
Papageorgiou, E.I.: A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Appl. Soft Comput. 11(1), 500–513 (2011)CrossRef
15.
Peña-Ayala, A.: Student model based on psychological models. Procedia-Soc. Behav. Sci. 1(1), 1996–2000 (2009)CrossRef
16.
Peña-Ayala, A. (ed.): Intelligent and Adaptive Educational-Learning Systems Achievements and Trends. Smart Innovation, Systems and Technologies, vol. 17. p. 521. Springer, Heidelberg (2012)
17.
Peña-Ayala, A.: Intelligent agents in the evolution of web and applications. In: Nguyen, N.T., Jain, L.C. (eds.) Ontology Agents and their Applications in the Web-based Education Systems: Towards an Adaptive and Intelligent Service, Studies in Computational Intelligence Series, vol. 167, pp. 249–278. Springer, Heidelberg (2009)
18.
Peña-Ayala, A., Sossa, H., Cervantes, F.: Predictive student model supported by fuzzy-causal knowledge and inference. Expert Syst. Appl. 39(5), 4690–4709 (2012)CrossRef
19.
Sobecki, J., Fijałkowski, D.: New challenges for intelligent information and database systems. In: Nguyen, N.T. et al. (eds.) Student Automatic Courses Scheduling, Studies in Computational Intelligence, vol. 351, pp. 219–226. Springer, Heidelberg (2011)
20.
Su, W.M., Osisek, P.J.: The revised Bloom’s taxonomy: implications for educating nurses. Contin. Educ. Nurs. 42(7), 321–327 (2011)CrossRef
21.
Voet, J.G., Voet, D.: Student centered education. Biochem. Mol. Biol. Educ. 38(3), 133 (2010)CrossRef
Metadaten
Titel
Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education
verfasst von
A. Peña-Ayala
J. H. Sossa-Azuela
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Fuzzy Cognitive Maps for Applied Sciences and Engineering

Print ISBN: 978-3-642-39738-7

Electronic ISBN: 978-3-642-39739-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-39739-4_6