Presentation on theme: "Powered by CIO Enrollment Management Presentation April 17, 2015."— Presentation transcript:
Powered by CIO Enrollment Management Presentation April 17, 2015
What Do We Need to Be Effective Enrollment Managers?
Today’s Objectives Identify gaps in our enrollment strategy Predict FTES With a Support System Managing Low and High Enrollment Courses Identify Course Taking Patterns
Enrollment Management Survey We Asked A Few Simple Questions: 30 Respondents Answers: We all need new technologies Nobody is really there yet
What else do you want/need? Managing student pathways, particularly in Gen Ed areas. Tools for managing class sizes that support the Completion Agenda within current funding formulas Making EM changes without contention Multi-year planning tool Practical strategies for maintaining productivity and increasing enrollment What does a comprehensive enrollment management plan look like? It should include elements of attendance accounting, successful outreach efforts, and management strategies. Scheduling software that integrates facilities use Best practices in scheduling of accelerated courses for student completion
Predicting FTES with a Decision Support System Bob Hughes Director, Enterprise Application Systems Mt. San Antonio College
Timeliness Plenty of reports showing how we did at the end of the term esp. CCFS-320 Plenty of reports showing how we are doing during the term with regard to FTES Not enough actionable data during registration - the critical period when we can meet students needs (and capture more FTES) by meeting demand before classes start
A Decision Support System Custom built in-house using Oracle Application Express No additional license fee (covered by our existing Oracle license) Resides in the same database as Banner Built by a researcher temporarily re-assigned as a programmer Received the Excellence in College Planning Award in 2015 from the RP group
Three Horizons 1. What can we do in the current term to better meet student demand? 2. What can we do in the upcoming term to better meet student demand (during registration)? 3. What can we do next year to better meet student demand (schedule build)?
What are our ‘hottest’ classes? This report shows classes with fill rates of 90% or more, ordered by how quickly they filled. All 47 sections of ENGL 1C filled in the first 4 days of registration.
What demand are we missing? After the classes are full and waitlists are full, we can measure intensity of demand by looking at attempts to register after the class has closed.
What classes are lagging or exceeding in their demand? This report shows a comparison of fill rates by day during registration vs prior years and projected fill rates (weighted average). Philosophy is meeting projections.
Sociology is lagging both historical demand and projected fill rates.
We can also add brand new courses, or courses that are beyond the ‘top three’ in terms of demand.
Note that this is listed as ‘User Created’. We can delete these if necessary; the schedule will revert back to the historical schedule.
Three changes resulted in a projected increase of 8.3 FTES. We can do several models. Each user has their own “sandbox” to simulate schedules.
The Result? Fall 2013 – demand began to soften Used the Decision Support System during registration for Spring 2014 to add/cancel classes where warranted, and identify areas where more marketing was needed Met FTES targets in 2013-14 Mandate to grow 3% from Funded FTES in 2014- 2015 Currently on target to be up 4% for the year
Enrollment and Efficiency Santanu Bandyopadhyay Cypress College
Nuts & Bolts: The Data Points Trend information Enrollment/FTES by division Fill rate by division WSCH/FTES by division Unmet demand (unduplicated) by Course Demand/Supply analysis by course level Growth opportunities Previous semester Classroom availability # Full-time Faculty by department Class size Deficit in extended day budget by division
Demand Analysis – Trend Unmet demand (unduplicated) by course: # Unduplicated students who attempted to register for a section PLUS # waitlisted students After adding 8 sections (240 seats), demand for SOC 101 declined by 213 in 2015. For Math 101, after adding 4 sections (120 seats), demand increased by 18. Implications for future planning? Increasing v. flat demand?
Demand Analysis – Trend Demand/Supply analysis by course level: # seats offered v. seats occupied for levels of courses Availability of seats and waitlisted students in each level indicate potential for better alignment between demand and supply At 201 to 250 level, nearly 1,200 seats are available although 648 students are waitlisted If perfect alignment is achieved, demand will exceed supply for only 100 level classes
Demand v. Contribution Four Quadrants Green (Q1): High demand, High capacity Amber (top left) (Q2): High demand, low capacity Red (Q3): Low demand, low capacity Amber (bottom right) (Q4): Low demand, high capacity
Using 4-Quadrant Grid Focus on Q1 and Q2 courses for growth Caveat: Q2 courses may increase deficit in extended day Q3 are likely 3 rd and 4 th sem classes or new programs: needed for completion and/or transfer. Schedule in alternate semester/year Potential to grow: Q4 – Outreach Plan?
Tying it all together Demand Focus on Unmet Demand Student need upper level classes Capacity Evaluate Physical Capacity Balance online growth with on-campus Efficiency Build capacity by improving efficiency Factor in cost: 4-quadrant guide
Schedule Analysis and Marketing for Growth Craig Justice and Kathi Swanson
Student-centered Scheduling Student choices as consumers focus on day of week, time of day, cost, work schedules, transportation issues among others
ACE Survey American Council on Education (ACE) survey indicate that the main forecasting tools used for scheduling are historical course enrollment information and local knowledge rather than indicators of future student demand
Newer Tools Predictive Analytics Wait List Data Student Education Plan Data Social Media Survey Tools Strategic Marketing
Capstones, Math & English Predictive Analytics Wait List Data Student Education Plan Data Social Media Survey Tools
Using Data and Tools to Plan The Challenge: Less Nordstrom Style Scheduling, More Student-Centered Scheduling Shifting the Course Scheduling Culture Use good analytical data to inform the plan Plan the Schedule First, Staff It Second Marketing: Inform the Customers
Completion Dashboards Integrating with Degree Audit to Change Student Behavior and Predict Course Needs JoAnna Schilling, Cerritos College