System and Method for Determining Risk of Student Attrition
A retention management system identifies, analyzes, and evaluates student information collected by the enterprise resource planning systems and learning management systems. The retention management system applies an model to collected information and locates students that are struggling before they are lost to attrition. The retention management system also provides tools to allow personnel at the academic institution to communicate with students, implement plans to correct current problems with student, and to predict and prevent future problems.
1 . A method of assessing a probability of student attrition, the method comprising:
accessing student information from the enterprise resource planning system;
accessing student information from a learning management system;
mining the student information to search for retention factors that are used in calculating a probability of retention to create a retention model;
applying the retention model to the student information to calculate a probability of retention for the students based on the algorithm; and
displaying the results to users.
2 . A method as claimed in claim 1 , wherein the retention factors include attendance at classes and grades in the classes.
3 . A method as claimed in claim 1 , wherein the retention factors include late payment information.
4 . A method as claimed in claim 1 , wherein the mining is performed on past history to determine the retention factors that are predictive of future student attrition.
5 . A method as claimed in claim 1 , further comprising assigning different weighted values to different numerical scores for the retention factors to specify the retention model.
6 . A method as claimed in claim 1 , further comprising generating different models for students in different years.
7 . A method as claimed in claim 1 , further comprising displaying changes in the calculated probability of retention for the students over time.
8 . A system of assessing a probability of student attrition for an academic institution, the system comprising:
a retention management system that accesses student information from the enterprise resource planning system and a learning management system and mines the student information to search for retention factors that are used in calculating a probability of retention to create a retention model and applies the retention model to the student information to calculate a probability of retention for the students based on the algorithm; and
a user interface that displays the results on users.
9 . A system as claimed in claim 8 , wherein the retention factors include attendance at classes and grades in the classes.
10 . A system as claimed in claim 8 , wherein the retention factors include late payment information.
11 . A system as claimed in claim 8 , wherein the mining is performed on past history to determine the retention factors that are predictive of future student attrition.
12 . A system as claimed in claim 8 , wherein the retention management system assigns different weighted values to different numerical scores for the retention factors to specify the retention model.
13 . A system as claimed in claim 8 , wherein the retention management system generates different models for students in different years.
14 . A system as claimed in claim 8 , wherein the user interface displays changes in the calculated probability of retention for the students over time.
15 . A method of predicting likelihood of attrition based on risk factors, the method comprising:
assigning retention factors in a retention management system;
dividing the retention factors into multiple ranges, wherein each of the ranges are assigned a weighted value;
accessing student information from the enterprise resource planning system, wherein the accessed information includes numerical values of the retention factors;
calculating a total score for each student by summing the numerical values scores based on which range the student information is located;
determining a probability of attrition based on the total score for each student; and
displaying the probability of attrition to users.