Capacity Enrollment Model Presented by: Ghada Hazem Abdalla The American University in Cairo

1. Capacity Enrollment ModelPresented by:Ghada Hazem AbdallaThe American University in Cairo Advising, Registration & Mentoring Task Force Arab Acrao meeting Hosted by the Arab Maritime Academy March 2013

2. Starting Point • The strategic enrollment model was initiated to address the problem and difficulties the freshman students (new and returning) encounter in their registration of their courses • The prevailing system shows that the course demand as requested by the students is not linked with the course supply.

3. Problems encountered • There are high demand courses that have limited capacity and cannot accommodate all students’ requests. • There are low demand courses that students are obliged to register in because they cannot find places in the desired courses. • Accordingly, there is always over enrollment in the high demand courses versus low enrollment in the low demand courses. • The newly accepted students that are admitted within a week before the first day of classes, ie (IGCSE, Scholarship students, deferred payments) cannot find proper classes to register in as the slots are already filled.

5. The idea behind the design of this model is based on the collection of data since Fall 2008 , and deducing the statistical trends across them, inclusive of fall and spring semesters. These data were collected to reflect the number of “slots and trends of courses” taken for both new and returning students.

6. The data was analyzed as follows:

7. Data Analysis at the Admissions Stage

8. Distribution of newly admitted student according to English Placements and major

9. Returning students breakdown As per the English class level : • Those who passed the ELI 98 to ELI 99 (semi hypothetical) • Those who passed the ELI 99 to Eng 100 (semi hypothetical) • Those who passed the ENG 100 to the RHET 101 (semi hypothetical) • RHET 102 students (semi hypothetical) • RHET 201 students (semi hypothetical (Semi hypothetical means that we started with actual enrolled numbers and assuming that all passed and went one English level up).

10. English Placement Progress + + + + + +

11. Total number of students in fall 2012, new & continued, with a break down by English class 247

12. Returning students breakdown Cont.

13. Enrollment Model Final Prediction model

14. Fall 2012 Original & Predictive numbers

15. With this actual, semi and hypothetical numbers, an idealistic Enrollment model is generated to list all general courses that should be offered to the students (new and returning) as planned in the catalog with their corresponding expected planned slots. Implementing this model will clarify and shed up the light on the needed places requested by freshman students in specific courses.

16. Actual advisors numbers versus admissions numbers

17. The model was computerized to include all incoming actual numbers in the semester, help in predicting the courses needed for the freshman students, new and returning and the desirable slots per section.

18. New & Returning students statistics from Banner.

19. Summary Computerization of the model : • Maintain a trend that includes New and Returning student classified by their English Placement and Declaration of major status • Helps in accurately predicting the number of places in the courses for the following semesters for both new and returning students • To create planning scenarios for the academic departments • To integrate the admissions numbers with the university advisors numbers.