Modeling a learning organization using a molecular network framework

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.