A Prediction Model for studying the Impact of Separated Families on Students using Decision Tree

ocial studies show that the number of separated families have
lately increased due to different reasons. Despite the causes for
family rift, many problems are resulted which affected the children
physically and psychologically. This effect may cause them fail in
their life especially at school. This paper focuses on the negative
reaction of the parents’ separation with other factors from the
computer science prospective. Since the artificial intelligent field
is the most common widespread in computer science, a predictive
model is built to predict if a specific child whose parents separated,
may complete the school successfully or fail to continue his
education. This will be done using Decision Tree that have proved
their effectiveness on the predication applications. As an
experiment, a sample of individuals is randomly chosen and
applied on our prediction model. As a result, this model shows that
the separation may cause the child success at school if other factors
are satisfied; the intelligent of the guardian, the relation between
the parents after the separation, his age at the separation time, etc.