System and method of using academic analytics of institutional data to improve student success
AssigneePurdue Research Foundation
InventorsKimberly E. Arnold, John P. Campbell
Life of this patent
Estimating the term…
Abstract
Systems and methods that extend the use of data mining to identify students academically at risk of performing poorly or withdrawing from school altogether. In doing so, academically at-risk students are identified early and guided to resources to improve their academic performance.
Claims22
A system for associating a student-specific categorization of risk of poor academic performance to a plurality of students in at least one academic course and informing a person of the risk categorization, the system comprising at least one computer having a processor and memory containing processor-executable instructions for:
- collecting and storing data related to each student in computer memory, said data including a plurality of types of data including data selected from a first group including demographic data, personal data, extracurricular activity data, financial data, housing data, employment data, admission data, and registration data, and data selected from a second group including academic data, course management system data, course data, help resources data, technical log data, attendance data, tardiness data, unexcused absences data, workshop attendance data and training data;
- permitting a user of the system to select a plurality of data types including data from the first group and from the second group, and to assign custom weights to the selected plurality of data types;
- analyzing said data in a manner that takes into account the custom weight assigned to each type of data and results in a categorization of risk that a student will perform poorly academically in the at least one academic course;
- associating a risk categorization with each student;
- and
- informing a person of said risk categorization associated with the student through the computer.
A method implemented by at least one computer having a processor and memory containing processor executable instructions, for associating a categorization of risk of poor academic performance to a plurality of students in at least one academic course and electronically informing a person of the risk categorization, comprising:
- collecting and storing data related to each student in computer memory, said data including a plurality of types of data including data selected from a first group including demographic data, personal data, extracurricular activity data, financial data, housing data, employment data, admission data, and registration data, and data selected from a second group including academic data, course management system data, course data, help resources data, technical log data, attendance data, tardiness data, unexcused absences data, workshop attendance data and training data;
- permitting a user of the system to select a plurality of data types including data from the first group and from the second group, and to assign custom weights to the selected plurality of data types;
- analyzing said data in a manner that takes into account the custom weight assigned to each type of data and results in a categorization of risk that a student will perform poorly academically in the at least one academic course;
- associating a risk categorization with the student;
- and
- informing a person of said risk associating the risk categorization with the student through the computer.
Dependencies are inferred from the claim text.