A Formal Description of the Systemic Theory based e-Learning
Keywords:
online learning, system theory, feedback, intelligent instructional systemAbstract
This paper aims at presenting the systems theory-based approach to the learning (instructional) process. Such as approach is necessary, if one takes into consideration the the complex and holistic nature of the learning process. The presented modeling is based on the definition of an automatic regulation system and artificial intelligence techniques. For this purpose, an Intelligent Instructional System (IIS) is defined using the concepts: inputs, outputs, perturbations factors, regulation, feedback and AI learning techniques. The contextual environment of learning plays the major role in this system and it establishes the perturbation factors. The regulation consists in AI learning techniques, so the IIS is a flexible and adaptive system. The process’ behaviour is described using pseudo-boolean and linear equations. This kind of approach enables solving the problems of the complexity and uncertainty of the learning (instructional) systems and, particularly, those of the e-learning (online and offline). Applications of the proposed approach may be found in e-learning courses for Mathematics, Computing, Architecture, Archaeology, Cultural Heritage, etc.References
B. H. Banathy, A Systems View of Education: Concepts and Principles for Effective Practice. Englewood Cliffs, N.J.: Educational Technology Publications, 1992.
B. H. Banathy, Systems Inquiry and Its Application in Education, In D. H. Jonassen (ed), Handbook of research for educational communication and technology, New York: MacMillan Library Reference, 1996.
D. Chen andW. Stroup, Toward a Conceptual Framework for Science and Technology Education for All, Journal of Science Education and Technology, Volume 2, No.3, 1993.
M. Cole., P. Griffin, Contextual Factors in Education. Information Analyses Report. Prepared for Committee on Research in Mathematics Science, and Technology Education, Commission on Behavioral and Social Sciences and Education, National Research Council. Wisconsin Center for Education Research, Madison, 1987.
W. Dick, L. Carey, The Systematic Design of Instruction, Glenview,IL.:Scott,Foresman, 1978.
R.R. Du Mont, Distance Learning: A Systems View an Assessment and Review of the Literature, Research report, grant awarded by the Ohio Learning Network in cooperation with Research Center for Educational Technology Kent State University, 2002.
J.D. Finn, Automation and Education: I. General aspects, AV Communication Review, 5(1), 1957.
R. Gagné, L. Briggs, W.W.Wager,Principles of Instructional Design,(3rd ed.). New York, NY: Holt, Rinehart and Winston, Inc., 1988.
G. Gonzalez, A Systematic Approach to Active and Cooperative Learning in CS1 and its Effects on CS2, Technical Symposium on Computer Science Education, Proceedings of the 37th SIGCSE technical symposium on Computer science education, 2006.
P.L. Hammer(Ivanescu), S. Rudeanu, Methodes Booleennes en Recherche Operationelle, Dunod, Paris, 1970.
C. Ilas, Teoria Sistemelor de Reglare Automata, Matrix Rom, Bucuresti, 2006.
D.H. Jonassen, et al. Certainty, Determinism, and Predictability in Theories of Instructional Design: Lessons from Science, Educational Technology, (37)1, 1997.
G. Moise, A Software System for Online Learning Applied in the Field of Computer Science, IJCCC, Volume: II, No: 1, 2007.
G. Moise, A rules Based on Context Methodology to Build the Pedagogical Resources, Proceedings of the 2nd International Conference on Virtual Learning, Bucharest University Press, 2007.
M.G. Moore and G. Kearsley, Distance Education: A Systems View, Belmont, CA:Wadsworth Publishing Co., 1996.
M.G. Moore,Theory of Transactional Distance, In D. Keegan (Ed.) Theoretical Principles of Distance Education. New York: Routledge, 1993.
F. Saba, R.L. Shearer,Verifying Key Theoretical concepts in a Dynamic Model of Distance Education, The American Journal of Distance Education, 8 (1), 1994. http://dx.doi.org/10.1080/08923649409526844
A.D. Styliadis, I. D. Karamitsos, D. I. Zachariou, Personalized e-Learning Implementation - The GIS Case, International Journal of Computers, Communications & Control, Vol. I, No.1, 2006. http://dx.doi.org/10.15837/ijccc.2006.1.2273
W.E. Walker, P. Harremöees, J. Rotmans, J.P. VAN DER Sluijs, M.B.A. VAN Asselt, P. Janssen AND M.P. Krayer VON Krauss, Defining Uncertainty A Conceptual Basis for Uncertainty Management in Model-Based Decision Support, Integrated Assessment, Vol. 4, No. 1, 2003. http://dx.doi.org/10.1076/iaij.4.1.5.16466
N. Wiener, The Human Use of Human Beings : cybernetics and society, Second Edition Revised, Doubleday Anchor, 1954.
A.D. Styliadis, E-learning Documentation of Historical Living Systems with 3D Modeling Functionality, Informatica, Vol. 18, No. 3, pp. 419-446, 2007.
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
