Super Automated Admission Processing
Session Number: 30022
Sub-Categorization: General Admissions
Session Type: Case Study
Tags: 3C Trigger, Admission, Application Processing, Auto Admission, Bolt-On, Customization, Honors Admission, Merit Aid, Modal Page, V9.0
Primary Presenter: Brad Radtke [Applications Systems Analyst / Developer - University of Arizona]
Co-Presenter: Nikolas Hodge [University of Arizona]
Time: Mar 19, 2012 (09:15 AM - 10:15 AM)
Room: Ryman Ballroom EF
Learning Objectives from Session: To demonstration one campus’s bolt-on that automates and enhances undergraduate admissions processing by adding structure and functionality to support related merit aid awarding and communication assignment.
To gain an understanding of specific page elements that can be incorporated to enhance efficiencies and lower processing and evaluating turnaround times, while still being applicable to a wide type of undergraduate admission applications.
To see how field level security can be applied to a page that is shared across campus, yet contains sensitive data visible only to select users.
Version Presenting: PS 9.0
Level of Customization: Bolt-On
Level of Partner Integration: Select a Value
Project Phase: Production
Project Go Live: Earlier than 2011
Target Audience: All
Audience Level: Advanced
Your Training in this Area: Formal Education mentioned above, plus 16 years on the job training.
Description: The University of Arizona built a bolt-on customization that automates the application evaluation process. This automated evaluation process includes index generation, auto admissions, honors admission, merit based aid prediction and communication assignment. This customization allows all data entry and decision rendering to occur on a single page. This page is used for all Undergraduate Freshmen, Transfer, Readmit and Non-Degree application processing. Rules for auto admission are based on the applicant’s Plan, Admit Type, Self-Reported Residency and include elements of our state’s board of regents admission requirements. The application evaluator is given immediate feedback of all of the processes identified above. The evaluator work load is automatically distributed in an equitable fashion.
Applicants that are not automatically admitted are assigned to a file reviewer for a detailed review. The Program Actions and Program Action Reasons that can be added manually are controlled or limited by the applicant’s Admit Type.