Evaluating Agile Neural Educational System for Effective Resource Management.

The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy. In this work, the neural educational expert system (ES) is evaluated using mathematical models for predicting the availability of resources for the growing school-aged population using a criteria-based formative evaluation to know resource life and its effect on availability. This will help in the decision to add more resources by knowing when and how the resources should be added. Technical mathematical model generation through differential equations is used to fuse the factors affecting the availability of educational resources. The real-life data is used in prediction regarding the actual enrollment of learners and the availability of resources. The model is evaluated and critically analyzed to know the degree of accuracy and the steady state. The findings revealed that the resources decay and attrite at an exponential rate in the long run and the constant number of resources provided cannot cater for the rate of decay, resulting in inadequacy. A proposed algorithm for managing the resources is presented. Plain Language Summary: Purpose: The main aim of this work is to evaluate the agile neural educational system and find out the reasons behind the inadequate resources despite the effort to make resources adequate in schools. methods: methodology adopted is criteria-based formative evaluation using differential equations with initial value problem. conclusions: Inadequate educational resources affect the process of learning. Poor performance at the foundation affects higher levels of learning. Careful planning, provision, and management of educational resources can best be achieved by using the model to monitor the availability and provision of resources. This can be done through the careful control of two major factors; the addition of resources at regular intervals and good maintenance skills to reduce the decay of resources. This will minimize the cost of education which usually forms a major component of the budgets in countries. Going forward, it is prudent for the country to adopt this model to manage educational resources. implications: stakeholders of education will minimize the cost of education which usually forms a major component of the budgets in countries. Going forward, it is prudent for the country to adopt this model to manage educational resources. Limitations: this work is limited to resources in the form of physical quantities at the basic level of education. [ABSTRACT FROM AUTHOR]