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Successful Nontraditional Successful Nontraditional Developmental Education Developmental Education Programs: Programs: Too Costly, or Really Too Costly, or Really Profitable? Profitable? Rob Johnstone Rob Johnstone March 2, 2008 March 2, 2008 League Innovations 2008 - Cost Revenue League Innovations 2008 - Cost Revenue Model Model
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Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

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Page 1: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

Successful Nontraditional Successful Nontraditional Developmental Education Programs:Developmental Education Programs:

Too Costly, or Really Profitable?Too Costly, or Really Profitable?

Rob JohnstoneRob Johnstone

March 2, 2008March 2, 2008

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Page 2: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Basic Skills as a Foundation for Student Success in California Community Colleges

http://www.cccbsi.org

Page 3: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

PART 1: PART 1: THE BACKDROPTHE BACKDROP

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Page 4: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

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California Data SummaryCalifornia Data Summary

• 70%-85% of First Time Freshmen Require Developmental Education

• Less than 10% of students who start 3 or more levels below ever reach college-level

• Grades in sequenced courses study

• Most of these findings extremely consistent in last two decades

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Project HistoryProject History• Statewide Graduation Requirements

– Math: Beginning Intermediate Algebra– Language Arts: One Level Below Freshman English

Freshman English

• Controversy on additional barriers, vocational education

• Statewide Academic Senate, CIO, CSSO organizations formulate approach– System Office redirects $33M to colleges, funds

research grant, two Prof Dev grants

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October 2006 - Phase 1 Begins October 2006 - Phase 1 Begins Research & Lit. ReviewResearch & Lit. Review

• Research phase initiated

• $50,000 in research funds allocated through Mt. San Antonio College

• Research conducted by the Center for Student Success (RP Group)

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Step 1: The Literature ReviewStep 1: The Literature Review

• Reviewed 250+ sources

• Team of 7 researchers, administrators, and faculty

• Joined by 4 faculty reviewers

• Three-month time frame

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26 Effective Practices in Four Areas26 Effective Practices in Four Areas

• Organizational & Administrative Practices (7)– Structure, management, & organization

• Program Components (4)– Services & policies

• Staff Development (5)– Training / support

• Instructional Practices (10)– Effective pedagogical techniques

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PART 2: PART 2: DOING THINGS DIFFERENTLYDOING THINGS DIFFERENTLY

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

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““The State of Developmental The State of Developmental Education in California”Education in California”

• What is the most common educational paradigm we deliver to our developmental education students?– One instructor – One classroom – Limited suite of support services

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Hmm…Hmm…

• What has the research suggested to be the least effective paradigm for producing student success in developmental education?– See previous slide

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Non-Traditional ApproachesNon-Traditional Approaches

• Programs exist on every campus• Most include a number of the “Effective

Practices” identified in the Literature Review

• IR data has demonstrated many as effective

• Tend to be small in scope, serving relatively small numbers of students

• Why?

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Why are Non-Traditional Why are Non-Traditional Programs Isolated and Small?Programs Isolated and Small?

• Limited awareness about the literature & its findings

• Need for paradigm shifts in thinking of campus administrators, faculty & staff

• Organizational change issues• Lack of IR to provide hard data on

program effectiveness• “Pilot” mentality – often w/o institutional

commitment

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Single Biggest Reason?Single Biggest Reason?

• Perceived Cost of scaling these programs to many / most / all students

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Societal Payback AngleSocietal Payback Angle• Successful developmental education

benefits society in measurable ways• Economic: Census estimate that HS grads

earn $1.2m, AA - $1.6m, BA – $2.1m• Societal: more likely to be open-minded,

culturally aware, make rational decisions, less authoritarian, increased health, positively affects offspring & family

• Moral imperative

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Workplace NeedsWorkplace Needs

• “Primary currency for employment became advanced education” (McCabe, 2000)

• Evolving workplace: 80% of jobs in 21st century will need advanced skills

• Manufacturing Association survey: 60% of employees lacked basic math skills & 55% basic written language / comprehension skills

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Implications for SocietyImplications for Society

• Declines in educational standards

• Fierce competition for limited number of unskilled jobs

• Increases in unemployment rates, crime rates, and dependencies on social programs

• SES stratifications into haves / have not's – dwindling middle class

• Lack of skilled workforce to compete in global economy

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But…But…

• Community Colleges have to pay their own bills. Thus, we are left with a situation where:– society demands that we succeed in our

mission of developmental education, – but our funding system seems to suggest that

we at the CCs can’t afford to do so

Page 19: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

PART 3: PART 3: THE LOGIC BEHIND THE THE LOGIC BEHIND THE

APPROACHAPPROACH

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Traditional CC Economic RealityTraditional CC Economic Reality

• Community Colleges are set up to think in terms of fiscal periods (usually fiscal years)

• Simplistically, this year’s salaries, fixed costs, & variable costs seemingly need to be offset by this year’s revenues from FTES apportionment

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A Different (?) Way of ThinkingA Different (?) Way of Thinking

• As has become common in industry, we could think about deviating from our “traditional” model toward a return-on-investment (ROI) approach

• Under this approach, we use our “traditional” model as the baseline for costs and revenue

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Incremental CostsIncremental Costs

• We first account for the additional costs associated with the aforementioned more successful alternative programs. Examples:– Incremental salaried faculty/staff

(% FTE w / benefits)– Hourly personnel costs (tutors, etc)– Stipends– Equip / Supplies / Facilities

• Note: We are quite good at assigning incremental costs to non-traditional programs!

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The Flip Side – Incremental RevenueThe Flip Side – Incremental Revenue

• Successful alternate programs have the following outcomes:– Increased course retention – Increased course success rates– Increased persistence– Increased progression to college-level work– Increase in overall units attempted / earned

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What is the coin of the realm?What is the coin of the realm?

• FTES

• In California, colleges generate $4,361 per FTES in apportionment– Note: Model applies in states where state

apportionment is combined with tuition, etc.

• The incremental FTES generated in successful alternative programs can, in many cases, offset the incremental costs

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Caveat before we move on…Caveat before we move on…

• This approach runs into an issue if a system caps college enrollments and the college is at or near its enrollment cap

• Bumping up against the cap number as a result of newly successful basic skills students would be a good problem to have

• Bigger problem a couple of years ago – now maybe a solution to systemic sluggishness

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More on the Cap IssueMore on the Cap Issue

• Further, not sure why we would identify these successful developmental programs as the “reason” a college exceeded a cap number– Myriad of segments that make up a college’s

enrollment

• Ironically, the Caps are based on historical failures in developmental education– If legislatures want improvement, they should

fund over-cap FTES from successes

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Incremental FTES $$$ Not Without Incremental FTES $$$ Not Without CostsCosts

• Instructional costs for students who are retained and progress – may require adding additional sections– May fill non-full classrooms especially in

productive GE courses

• Overhead / infrastructure costs– Estimating is very complex

• Taken together, we estimate a range of 40%-75% “profit” from FTES

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What the Model Doesn’t DoWhat the Model Doesn’t Do

• This is not a sophisticated economic model

• It doesn’t take into account economics concepts such as net present value (NPV), economic rates of return (IRR), discounting, etc.

• Ultimately, it is designed to be an order of magnitude demonstration

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A Final Note Before Getting into It...A Final Note Before Getting into It...

• In no way are we claiming that the current level of funding (CA: $4,361/FTES) for the “standard” suite of services is adequate– $11,000 for CSU, $25,000 for UC

• Spevak & Simpson et al (2003) – Real Cost Project – estimated “real cost” of providing instruction and services is over $9,000 per FTES

Page 30: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

PART 4: PART 4: A LIVE DEMONSTRATION OFA LIVE DEMONSTRATION OF

THE EXCEL MODELTHE EXCEL MODEL

(SEE APPENDIX A FOR STATIC EXPLANATION OF (SEE APPENDIX A FOR STATIC EXPLANATION OF THE EXCEL MODEL)THE EXCEL MODEL)

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Page 31: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

PART 5: PART 5: THE AFTERMATHTHE AFTERMATH

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The Bottom Line (Literally)The Bottom Line (Literally)• In many cases, these supposedly

expensive programs do pay for themselves– Real-world examples from Cerritos, Chaffey,

De Anza & Foothill

• In some cases, they produce a net financial benefit for the college

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The Soap BoxThe Soap Box• We should be looking to expand these

more successful non-traditional basic skills programs for moral, ethical, and societal reasons

• This approach suggests colleges also may have a financial incentive for doing so

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Growing PainsGrowing Pains

• As programs are expanded past their current small reach, they will likely experience some decrease in incremental success

• Flip side is that costs do not scale up proportionally – and this usually is a good thing as economies of scale emerge

• May balance each other out?

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More ThoughtsMore Thoughts

• Single approach / program won’t work for our diverse student populations

• Mix of programs that are successful would potentially optimize these benefits

• Somewhat more expensive programs could be offset by more cost-effective alternatives in a menu-type approach

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Questions? Comments?Questions? Comments?

• Excel model is available on the two websites:– http://css.rpgroup.org – http://www.cccbsi.org/

• Feel free to contact me at 650-949-7209 or [email protected] for further discussion

Page 37: Successful Nontraditional Developmental Education Programs: Too Costly, or Really Profitable? Rob Johnstone March 2, 2008 League Innovations 2008 - Cost.

APPENDIX A: APPENDIX A: THE EXCEL MODELTHE EXCEL MODEL

STATIC VERSIONSTATIC VERSION

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

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Overview of ModelOverview of Model

• Six Sections to Model– Sec. 1: Students Served in Program– Sec. 2: Incremental Salaried Personnel Costs– Sec. 3: Incremental Hourly Personnel Costs– Sec. 4: Incremental Fixed Costs– Sec. 5: Summary of Incremental Costs– Sec. 6: Incremental FTES from Program

• Each section allows entry of real data and calculates key figures automatically

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Section 1: Students ServedSection 1: Students Served

• Starting off easy

• Enter how many students are served in the program annually

• This is critical because it helps us determine the total contact hours generated per student, which we’ll need later

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Section 1: Screen ShotSection 1: Screen Shot

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75

Model 3: Counseling and Time on Task at De Anza College's MPS Program

Section 1: Students Served in Program

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Section 2: Salaried Personnel CostsSection 2: Salaried Personnel Costs

• Enter:– A. Position Title– B. FTE for Position– C. Salary

• Automatically Calculated:– D. Prorated Salary– E. Benefits at 35%*– F. Cost

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Section 2: Screen ShotSection 2: Screen Shot

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Section 2: Incremental Salaried Personnel Costs of Program

A. Position Title B. FTE C. Salary D. Prorated

Salary E. Benefits

@ 35%F. Cost

1. MPS Counselor 0.43 $70,000 $29,995 $10,498 $40,493

2. Math FTE for Double Load 0.33 $70,000 $23,331 $8,166 $31,497

3.

4.

5.

6.

7.

Total Salaried Personnel Costs: $71,990

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Section 3: Hourly Personnel CostsSection 3: Hourly Personnel Costs

• Enter:– A. Type of hourly personnel– B. Number of hourly employees– C. Hourly rate– D. Annual Hours per Employee

• Calculated Automatically:– E. Cost

• If you have a yearly line item, simply enter it directly in (E) and override the formulas

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Section 3: Screen Shot ASection 3: Screen Shot A

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Section 3: Incremental Hourly Personnel Costs

A. Type of Hourly PersonnelB. No. of Hourly

Employees

C. Hourly Rate

D. Annual Hours Per Employee

E. Cost

1. Instructor Stipends 14 $43.42 10 $6,079

2. Student Tutors 9 $7.75 96.33 $6,719

3. Student Tutors 3 $8.44 62.67 $1,587

4. Student Tutor 1 $9.21 60 $553

5. Student Tutor 1 $10.17 58.5 $595

6. $0

Total Hourly Personnel Costs: $15,532

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Section 3: Screen Shot BSection 3: Screen Shot B

League Innovations 2008 - Cost Revenue ModelLeague Innovations 2008 - Cost Revenue Model

Section 3: Incremental Hourly Personnel Costs

A. Type of Hourly PersonnelB. No. of Hourly

Employees

C. Hourly Rate

D. Annual Hours Per Employee

E. Cost

1. Student Tutors (Annual Budget) --- --- --- $10,000

2.

3.

4.

5.

$10,000Total Hourly Personnel Costs:

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Section 4: Fixed CostsSection 4: Fixed Costs

• Enter:– A. Description of Item– B. Annual Cost

• Equipment costs may be amortized• Facilities costs are very tricky

– Possibly no cost - how you use available space– Possibly large cost - adding a new building– Still tricky to assign to a non-traditional

program, especially as they are systemized

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Section 4: Screen ShotSection 4: Screen Shot

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Section 4: Incremental Fixed Costs

A. ItemB. Annual

Cost/Budget

1. Equipment $12,141

2. Supplies $20,290

3. Facilities $0

4.

Total Fixed Costs: $32,431

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Section 5: Cost SummarySection 5: Cost Summary

• Summary of sections 2, 3, & 4 – provides total annual cost of program

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Section 5: Screen ShotSection 5: Screen Shot

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Section 5: Incremental Cost Summary

A. ItemB. Annual

Cost/Budget1. Salaried Personnel Costs $71,990

2. Hourly Personnel Costs $10,000

3. Fixed Costs $0

Total Program Costs: $81,990

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A Note on CostsA Note on Costs

• Most programs we refer to here have durations of an academic year or less– Examples include a learning community, a

program to pass a specific class, or a program that supports a two-semester course sequence

• If program duration is longer than a year, then include multi-year costs instead of annual cost estimates

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Section 6: Incremental FTES Section 6: Incremental FTES

• This is where the action is (OK, stop laughing)

• Calculates incremental FTES from the non-traditional program compared to a control group

• Need Institutional Research to use real-world data

• Can use as an exploratory “what-if” tool

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Section 6.1Section 6.1

• Enter #1 - Students in Program Annually

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Section 6.2Section 6.2

• Enter #2 - Subsequent Total Contact Hours from Students in Program– Total Contact Hours (TCH) from students in

the program in the semester/quarter they start the program and in subsequent semesters/quarters

– This will need to come from your IR office– Key note: not lifetime TCH – need to eliminate

TCH before the quarter program starts

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Section 6.3Section 6.3

• Enter #3 – # of students in control group– A control group needs to be identified to

compare the tracking of subsequent TCH– Many methods of doing this

• All students taking the same course not in program

• Matched on demographic variables, units, etc

• Work with researcher

– Size of control group doesn’t matter• Model accounts for this automatically

• Within reason – prefer not smaller than 50

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Section 6.4Section 6.4

• Enter #4 – Subsequent Total Contact Hours from Students in Control Group– Similar to #2

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Section 6.5Section 6.5

• #5 is calculated automatically, and is darn nifty, if I do say so myself

• Adjusts automatically for different sized Control and Program groups

• A bit tricky, but the figure in this cell is what the difference in Total Contact Hours would be if the control group was the same size as the program group

• That is, program group is the reference pt.

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Section 6.6 - 6.8Section 6.6 - 6.8

• #6-#8 are calculated automatically

• #6 - Percentage Increase in TCH from Program Group

• #7 - Conversion of TCH to FTES– FTES = TCH / 525

• #8 - Calculates apportionment from additional FTES @ $4361 / FTES

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Reflections on Section 6Reflections on Section 6

• Important to note again that the total $$$ figure produced in #8 is not free and clear; there are associated costs

• Could estimate the “profit” and calculate an industry-like ROI figure– E.g. for De Anza MPS, invest $81,990 a year,

generate $213,357, estimate profit @ 50%, then ROI = (106678 – 81990) / 81990 = 30% ROI

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Section 6: Screen ShotSection 6: Screen Shot

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Section 6: Incremental FTES from Program

Description Value

1. Students in Program Annually 75

2. Subsequent Total Contact Hours from Students in Program 96,089

3. Students in Control Group 75

4. Subsequent Total Contact Hours from Students in Control Group 70,404

5. Incremental Total Contact Hours from Students in Program 25,685

(N-adjusted to Program size)

6. Percentage Increase in Total Contact Hours from Program 36%

7. Incremental FTES from Students in Program 48.9

8. Potential Revenue from FTES @ $4,361/FTES $213,357