On Supporting Educational Decision(s) for Selectivity and/or Development of software Learning Packages Using Artificial Neural Network Modeling

摘要

A novel approach for supporting optimality of educational decision(s) is presented. In other wards, having an optimal selection decision concerned with performance evaluation of some software learning packages, considered as a challenging educational issue. In practice, software learning packages are applied as computer instructional aids for some specific learning program(curriculum).So, these packages are presented as different alternatives subjected to optimal decisional choice of the best one . Otherwise, the decision for software development of some learning package(s) is highly recommended. This adopted decisional criterion to support educational systems is basically depends upon improvement in students' performances. Consequently, some learning parameters -that are candidates for measuring effectiveness and efficiency of such packages- are elected to support optimal educational decision(s).More specifically, two parameters that measure results after learning process convergence are suggested. The output learning level measuring educational achievement ,and the response time to fulfill some pre-assigned learning level. Artificial Neural Networks(ANNs) models are adopted to simulate realistically learning processes' performance as well as software learning packages' evaluation and testing. Finally, it is very interesting to declare that after running of suggested Artificial neural networks models, obtained results are exactly well supported by practical results obtained after educational field testing of one software learning packages presented herein as a case study.