# US 2014/0040156 A1 · Computer System for Financial Aid Packaging for Students

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- Number: US 2014/0040156 A1
- Document ID: US20140040156A1
- Status: Published application
- Kind: A1
- Application number: 13/562,631
- Filed: 2012-07-31
- Published: 2014-02-06
- Earliest claimed: 2012-07-31
- Assignees: Rezolve Group, Inc.
- Inventors: Craig V. Carroll; Brandon D. McBride; John F. Whorley, JR.
- Web page: https://patentgrep.com/patent/US20140040156A1

## CPC

- G06Q 50/20: Education
- G06Q 40/02: Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

A computerized system and method for determining and mitigating risk associated with student lending. The computer system determines a student quality index score, which provides an assessment of how likely the student, such as a student candidate or current student, is to succeed during school and after graduation. Then, based on the student quality index scores of the students, the computer system determines how to structure the financial aid award packages for each individual student to maximize the financial aid provided to the students and enable the academic institutions to be within the mandated lending regulations.

## Claims

### Claim 1

A computer system for determining financial aid awards of students, the system comprising:
a user interface that receives personal information of the students;
a calculation engine that calculates lead quality index scores for the students based on the personal information of the students; and
a decision engine that combines the lead quality index scores with additional student information to calculate student quality index scores, the decision engine exporting the student quality index scores to lenders and/or academic institutions that provide the financial aid awards to the students based on the student quality index scores.

### Claim 2 (depends on 1)

The system according of claim 1, wherein the personal information includes income, academic performance, and military status of the students.

### Claim 3 (depends on 1)

The system according of claim 1, wherein the additional information is obtained from net price calculation applications, FAFSA, and/or student assessment applications.

### Claim 4 (depends on 1)

The system according of claim 1, wherein the students are divided into different risk tiers based on the student quality index scores of the students.

### Claim 5 (depends on 4)

The system according of claim 4, wherein the different risk tiers segment the students based a level of academic and financial readiness of the students.

### Claim 6 (depends on 1)

The system according of claim 1, wherein the third party lenders and academic institutions provide different financial aid awards to the students based on the student quality index scores.

### Claim 7 (depends on 1)

The system according of claim 1, wherein the financial aid awards include private loans, federal loans, and institutional loans.

### Claim 8 (depends on 7)

The system according of claim 7, further comprising a decision engine that selects which loans to award to the students.

### Claim 9 (depends on 8)

The system according of claim 8, further comprising a packaging system that combines the selected federal, private, and institutional loans for the students and generates an estimated total award amount.

### Claim 10

A computerized method for determining financial aid awards for students attending an academic institution, the method comprising:
a computer system receiving personal information of the students;
the computer system comparing the received personal information of the students to information of former students to calculate student quality index scores for the students; and
the computer system providing financial aid awards recommendations for the students based on the student quality index scores of the students.

### Claim 11 (depends on 10)

The method according to claim 10, wherein the information of former students includes academic performance, graduation rates, and repayment history of the former students.

### Claim 12 (depends on 10)

The method according of claim 10, wherein the personal information includes income, academic performance, and military status of the students.

### Claim 13 (depends on 10)

The method according of claim 10, further comprising obtaining additional candidate information from net price calculation applications, FAFSAs, and student assessment applications.

### Claim 14 (depends on 10)

The method according of claim 10, further comprising dividing the students into different risk tiers based on the student quality index scores of the candidates.

### Claim 15 (depends on 14)

The method according of claim 14, wherein the different risk tiers segment the students based a level of academic and financial readiness of the candidates.

### Claim 16 (depends on 10)

The method according of claim 10, further comprising providing different financial aid awards to the students based on the student quality index scores.

### Claim 17 (depends on 10)

The method according of claim 10, wherein the financial aid awards include private loans, federal loans, and institutional loans.

### Claim 18

A computer system for determining financial aid awards of students, the system comprising:
a calculation engine that calculates quality index scores for the students based on personal information of students and additional student outcome data including loan repayment status and loan delinquency history for other students; and
a decision engine that uses the quality index scores to assess loan repayment probability, the decision engine exporting student information to a lender based on the assessment.

### Claim 19 (depends on 18)

The system according of claim 18, wherein the students are divided into different risk tiers based on the scores of the students.

### Claim 20 (depends on 18)

The system according of claim 18, wherein the lender is a private lender.
