Distance Education

Complex System that can be solved with application of the methodology of Structured Knowledge Maps

Authors

  • Thales Oliveira Lima Universidade Federal de Uberlândia, Brazil
  • IOLANDA BORGES CARNEIRO Universidade Federal de Uberlândia, Brazil
  • Luciano Vieira Lima Universidade Federal de Uberlândia, Brazil

DOI:

https://doi.org/10.31686/ijier.vol6.iss7.1064

Keywords:

Distance Learning, Complex Systems, Education, Structured Knowledge Maps

Abstract

This article presents a new tool to be used in distance learning courses: Structured Knowledge Maps. The method is best adapted to what one wants to teach/transmit (explicit/tacit knowledge), personalizing the didactic material to the student and equalizing the necessary knowledge for all the learners in the same class, that is, if the student performed the TAQ and was qualified, when participating in each stage of the course he or she will be in an equal position with the other students to acquire the knowledge. This makes teaching democratic, as educators like to say that this is necessary but fail to do. This tool, applied to Distance Learning or EAD as is it known in Brazil, aims to guarantee the effectiveness of learning, in addition to ensuring the memorization of the acquired knowledge and, consequently, the permanence of the student throughout the course. Based on the Theory of Categories and Theory of Functors, the tool is constituted by a Radius of Knowledge and an Area of Ignorance, which applied, in parallel to the Method of Effective Memorization in the Binary Base 2n, contributes to the creation of a new model of Distance Learning. In this process, we consider the aspects of the Complex Systems Theory that demonstrate failures in the application of the current Distance Learning model used not only in Brazil but in the vast majority of Distance Learning courses that exist today all over the world. In this way, considering the dynamicity of learning and the transmission of knowledge, the Structured Knowledge Maps ensure plasticity in the teaching-learning process, allowing the student to go through as many branches of knowledge and concepts as necessary to start a new Ray of Knowledge, prerequisites required to initiate the initial Ray of Knowledge, ensuring that it will only pass to another Ray of Knowledge when all Area of Ignorance is eliminated, in other words, when all questions are cleared. Learning is confirmed when the student undergoes a non-dual evaluation process which ensures that what was taught was effectively learned.

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References

ASPERTI, A.; LONGO, G. Categories types and structures: an introduction to category theory for the working computer scientist. Massachusetts: Foundations of Computing Series, MIT, 1991.

BALDWIN, C.; MACCORMAC, A.; RUSNAK, J.. The Architecture of Complex Systems: Do Core-periphery Structures Dominate?, MIT Sloan School of Management Working Paper Number 4770-10, draft Version 4.0. Havard, Business School, pp 3, 2010. DOI: https://doi.org/10.2139/ssrn.1539115

BURNS, D.. Feeling Good: The New Mood Therapy. Quill. 2000.

CAMARGO J. H.; LIMA, L. V. ; LIMA, S. F.; PEREIRA, A. A.; PINHEIRO, A. P.. A Method for Preparing Experts in Computer Engineering Subjects - WCCSETE'2006, Santos, 2006.

COWAN, N.. The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences, 2001. DOI: https://doi.org/10.1017/S0140525X01003922

DIAS, D. C; COSTA, N. da S.; LIMA, L. V. Projeto e implementação de recursos didáticos multimídia interativos para melhoria do ensino de disciplinas de engenharia de computação. ICECE 2009, IEEE Buenos Aires: COPEC, 2009.

EBBINGHAUS, H. (1885). Über das Gedchtnis. Untersuchungen zur experimentellen Psychologie. Leipzig: Duncker & Humblot; the English edition is Ebbinghaus, H. (1913). Memory: A Contribution to Experimental Psychology. New York: Teachers College, Columbia University. Reprinted Bristol: Thoemmes Press, 1999

GOODMAN, J. C. Priceless: Curing the Healthcare Crisis (Independent Studies in Political Economy).The Independent Institute, 2012.LIMA, S. F. de O.; BARBOSA F. R.; LIMA, L. V. CAMARGO J. H. Mapas de Conhecimento: uma ferramenta de aprendizagem por meio de Card Informativo como instrumento de ensino. Revista Unopar Científica Ciências Humanas e Educação. v. 14, n. 1, 2013.

MAYER, R.; MORENO, R... Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 2003: pp 43-52. DOI: https://doi.org/10.1207/S15326985EP3801_6

MEDINA, J.. Linguagem. São Paulo: Artmed, 2007.

MILLER, G.. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 1956: pp 81-97. DOI: https://doi.org/10.1037/h0043158

RAZ, A.; FAN, J.; McCandliss, B. D.; SOMMER, T.; POSNER, M.. Testing the Efficiency and Independence of Attentional Networks. Journal of Cognitive Neuroscience. Volume 14, Issue 3, April 1, 2002. Pp 340-347. DOI: https://doi.org/10.1162/089892902317361886

SIMON, H. A.. The Architecture of Complexity, Proceedings of the American Philosophical Society 106: 467-482, reprinted in idem. (1981) The Sciences of the Artificial, 2nd ed. MIT Press, Cambridge, MA, pp 193-229.

SWELLER, J.; MERRIENBOER, J. Cognitive Load Theory and Complex earning: Recent Developments and Future Directions. Educational Psychology Review, V.17, N.2, June 2005 DOI: https://doi.org/10.1007/s10648-005-3951-0

SWELLER, J. Evolution of human cognitive architechture. In: The Psychology of Learning and Motivation , by B. Ross, vol. 43, pp. 215-266. San Diego: Academic Press., 2003. DOI: https://doi.org/10.1016/S0079-7421(03)01015-6

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Published

2018-07-01

How to Cite

Lima, T. O., CARNEIRO, I. B., & Lima, L. V. (2018). Distance Education: Complex System that can be solved with application of the methodology of Structured Knowledge Maps. International Journal for Innovation Education and Research, 6(7), 6-16. https://doi.org/10.31686/ijier.vol6.iss7.1064