  Students' migration from public to private schools, due to lack of school
performance of public schools, is one of the major issues faced by the
Government of Punjab to provide compulsory and quality education at low cost.
Due to complex adaptive nature of educational system, interdependencies with
society, constant feedback loops conventional linear regression methods, for
evaluation of effective performance, are ineffective or costly to solve the
issue. Linear regression techniques present the static view of the system,
which are not enough to understand the complex dynamic nature of educational
paradigm. We have presented a Cognitive Agent Computing-Based Model for the
School Student Migration Problem Using a Descriptive Agent-Based Modeling
approach to understand the causes-effects relationship of student migration. We
have presented the primary school students' migration model using descriptive
modeling approach along with exploratory modeling. Our research, in the context
of Software Engineering of Simulation & Modeling, and exploring the Complex
Adaptive nature of school system, is two folds. Firstly, the cause-effect
relationship of students' migration is being investigated using Cognitive
Descriptive Agent-Based Modeling. Secondly, the formalization extent of
Cognitive Agent-Based Computing framework is analyzed by performing its
comparative analysis with exploratory modeling protocol 'Overview, Design, and
Detail'.
