On optimal selection of software learning packages using Artificial Neural Networks´ modeling (educational simulation approach)

This paper addresses an interdisciplinary solution for one of the problems associated with computerized educational disciplines. Addressed problem basically concerned with realistic computer-based educational simulations (e-Sims). More specifically, it searches for optimal software learning package(s) applied for teaching of specified curriculum(s) in classroom(s). Herein, quantitative evaluation as well as statistical analysis of (computer based) learning systems performance are performed. That is by adopting realistic neural network modeling of such systems searching for selecting an optimal software learning package. On the basis of a suggested selection criterion, fulfilled improvements after application of any SWLP are quantitatively measured. Consequently, an optimal computer assisting learning package is relevantly assigned for practical field application. Finally, obtained simulation results noticed to be supported well by some practical (field testing) results obtained after application of one software learning package in some classrooms (a case study).