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Building an Information Community: IT and Research Working Together Web Tools for Enrollment Management By Ken Meehan, Research, Fullerton College Bob.

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Presentation on theme: "Building an Information Community: IT and Research Working Together Web Tools for Enrollment Management By Ken Meehan, Research, Fullerton College Bob."— Presentation transcript:

1 Building an Information Community: IT and Research Working Together Web Tools for Enrollment Management By Ken Meehan, Research, Fullerton College Bob Hughes, I.S. NOCCCD Deborah Ludford, I. S. NOCCCD

2 Agenda Welcome and Introductions - Deborah History and Development - Deborah Demonstration of Product – Ken Technical Aspects of Development – Bob Questions and Answers – Deborah

3 History & Development Identified a need to track FTES at the campus level – Fullerton College –Identifying Essential Information –Defining the domain –Specification of Variables Meeting with Information Services - 2001 Hired consultants to work with Information Services and campus researchers to develop a set of tools beginning with Current Enrollments

4 History and Development Refinement of Current Enrollment –Cross-listed sections –Shared FTEF –Census enrollment Enrollment Projection Report –Projecting positive attendance –Choice of appropriate terms Five Year Comparison Report

5 Training Presentation at Presidents Staff Demonstration at Deans Council Annual Updates and New Deans Development of ER Light Use by Deans and Chairs Correction of Contact Hours Evaluation at End of Term Current Focus on Maximizing FTES

6 Demonstration Current enrollment Report https://www.banner-forms.nocccd.cc.ca.us/reports/researchers/currentenrollment/index.jsp Projected enrollment Report https://www.banner-forms.nocccd.cc.ca.us/reports/researchers/enrollmentprojection/index.jsp Five –Year Comparison Report https://www.banner-forms.nocccd.cc.ca.us/reports/researchers/fiveyear/index.jsp Capturing in Excel and SPSS Daily Reporting to President and CIO

7 Current Enrollment

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9 Enrollment Projections

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11 Five-Year Trends

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13 Project Timeline April 2003 – project design approved July 2003 – Current Enrollment in production Nov 2003 – Historical trends delivered; (performance issues needed to be addressed) April 2004 – Historical Trends in production May 2004 – Projected Enrollment in production

14 Technical Details PL/SQL procedures run to populate 3 tables: –CurrentEnrollment –FiveYear –EnrollmentProjection JavaServer Pages are used to display the results PL/SQL functions provide aggregate data made up of elements within the underlying table

15 Current Enrollment Up to 2 weeks of daily enrollment activity is captured per college, per term PL/SQL procedure run automatically on a nightly basis to populate a single table 86 columns, 104,827 rows (3 terms) Data captured at the CRN (section) level

16 Enrollment Projection Current term, 2 future terms, and 4 past terms are captured per college PL/SQL procedure run automatically on a nightly basis to populate a single table 86 columns, 20,884 rows Data captured at the CRN (section) level

17 Five Year Comparison One row per course for each college and term is stored following MIS reporting for the prior term 84 columns, 61,604 rows (29 terms) Data captured at the course level

18 Issue 1 – Attendance Methods Handling various attendance methods (Weekly, Daily, Positive Attendance) Aggregate totals needed separate functions to keep PA courses from being calculated in FTES Attendance methods for some courses changed from term to term

19 Issue 2 – Cross Listed Courses Some cross-listed courses would be entered with max seats at each CRN: –Cross List group has 45 seats Class 1 has 45 seats Class 2 has 45 seats Class 3 has 45 seats Some cross-listed courses would be entered with counts unique to each CRN –Cross List group has 45 seats Class 1 has 20 seats Class 2 has 15 seats Class 3 has 10 seats

20 Cross List Compromise We ended up using the class in the cross-list group scheduled with the highest number of seats Doesn’t work well when courses cross departments

21 Issue 3 – Projection Basis Enrollment Projection report uses a ‘projected FTES’ at the class (CRN) level Populated by a function based on averages from previous terms Which terms to include? –X number of prior terms? –X number of prior “like” terms? –Exclude “unique” terms due to construction, other issues? –How to project Summer?

22 Requested Future Enhancements Ability to see historical trends alongside current enrollment Display data graphically Allow projections to be entered at the CRN level

23 Questions and Answers Thank You for attending Enjoy the conference! kmeehan@fullcoll.edu bhughes@nocccd.edu dludford@nocccd.edu


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