Modeling a learning organization using a molecular network framework
Keywords:
learning organization,
FUTURE-O® model,
FUTURE-O-DYN model,
computer simulations,
molecular network framework
Author(s):
- Matej Janežič, Univerza v Ljubljani, Ekonomska fakulteta
- Prof. dr. Vlado Dimovski, Univerza v Ljubljani, Ekonomska fakulteta
- Dr. Milan Hodošček, Kemijski inštitut, Ljubljana
Abstract:
In this paper we present a new approach for modeling a learning organization using molecular network framework. For the purpose of this study, we have developed a new FUTURE-O-DYN model for simulation of learning organization by combining the FUTURE-O® model, a comprehensive model that through the seven elements leads to a fully-fledged learning organization, with molecular dynamics simulation technique. Molecular dynamics simulation, in which the classical equations of motion for all particles of a system are integrated over finite period of time, provides an important insight into the structure and function of molecules. The resulting trajectory is used to compute the time-dependent properties of the system. Here, we apply molecular dynamics, in particular free energy simulation, to simulate a learning organization or any other system including the use of computer technology in educational process. All steps of modeling process; from data preparation to development of a suitable simulation space, potential energy function and parameters to carry out simulations of a learning organization are discussed. Major achievement of this study is that we apply molecular dynamics technique to model a learning organization consisting of two individuals, which is done for the first time, with the newly developed FUTURE-O-DYN model. For this purpose we also developed parameters that define potential energy function for a pair of programmers case described in the literature. In our model, the free energy is proportional to the values of the seven elements in the FUTURE-O® model. The simulation results indicate that the calculated free energies using FUTURE-O-DYN model are in excellent agreement with the experimentally measured values. The approach described here is general and applicable to any education, business or corporate based learning organization.
Journal:
Computers & Education, 118 (2018) 56-69
Indexing:
Faktor vpliva: 3.819, Uvrstitev (SSE): 7/235
The article is available here.
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