For this assignment we will be using data from the Assistments Intelligent Tutoring system. This system gives students hints based on how they perform on math problems. We want to see if we can build a decision tree to help teachers decide which students to follow up with, based on students' performance in Assistments. We will create three groups ("teacher should intervene", "teacher should monitor student progress" and "no action") based on students' previous use of the system and how many hints they use. To do this we will be building a decision tree using the "party" package. The party package builds decision trees based on a set of statistical stopping rules.
Please "fork" and "clone" this repository to RStudio to complete the assignment.
id - student id
prior_prob_count - The number of problems a student has done in the system prior to the surrent session
score - The score the student achieved in the current session
hints - The number of hints the student requested in the current session
hint.y - Whether or not the student asked for hints in the current session
complete - Whether or not the student completed the cirrent session
action - The action suggested by the system to a teacher about a given student based on their performance