Abstract:
As an important part of today’s socio-technoecosystem,it is very vital to acknowledge the
importance of primary education. Problems like fair distribution of resources, resources utilization, and microscopic concern on aspects related to the psychology of a child cause any primary education system, globally, face significant challenges when being
implemented.CHILD@EDU is an alias given to a piece of research and development work which has being initiated to find solutions for these matters in primary education. CHILD@EDU fundamentally targets the children that involve in Primary Education
whileproposing a knowledge system that addresses the vital and sensitive attributes of a common primary education system (known as the fundamental characteristics of a child with effective learningabilities). This paper is intended to publish the technical
research, architecture, and implementation work related to the Expert Agents module of CHILD@EDU. This distributed multi-agent architecture has been tested in the means of project CHILD@EDUto be functioning with a higher accuracy adhering to the
ontological expert decision support based on international WISC®-IV Assessment Standards.
