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1 
Why Age Matters 
Date: August 23, 2012 
Presented by: Jonathan King & Emily Morris 
University of Hartford 
University of Idaho 
University of Illinois at Chicago 
University of Illinois at Urbana‐Champaign 
The University of Maine 
University of Maine at Augusta 
University of Maine at Farmington 
University of Maine at Machias 
University of Maine at Presque Isle 
University of Maine at Fort Kent 
University of Maryland 
University of Massachusetts Amherst 
University of Massachusetts Dartmouth 
University of Massachusetts Lowell 
University of Michigan 
University of Minnesota 
University of Mississippi Medical Center 
University of Missouri 
University of Missouri ‐ Kansas City 
University of Missouri ‐ St. Louis 
University of New Hampshire 
University of New Haven 
University of North Texas 
University of Notre Dame 
University of Oregon 
University of Pennsylvania 
University of Portland 
University of Redlands 
The University of Rhode Island, Narragansett Bay 
The University of Rhode Island, Feinstein Providence 
The University of Rhode Island, Kingston 
University of Rochester 
University of San Diego 
University of San Francisco 
University of St. Thomas (TX) 
University of Southern Maine 
University of Southern Mississippi 
University of the Pacific 
University of the Sciences in Philadelphia 
University of Vermont 
Upper Iowa University 
Utica College 
Virginia Commonwealth University 
Virginia Department of General Services 
Washburn University
2 
Who we are 
Jon King 
Associate Director 
Over 7 years of Sightlines Experience 
Emily Morris 
Regional Account Manager 
Over 5 years of Sightlines experience
3 
Sightlines Profile 
Common vocabulary, consistent methodology, credibility through benchmarking 
HI 
NV 
UT 
WY 
ND 
SD 
OK 
WI 
LA 
• Company based in Guilford, CT 
• Common vocabulary and consistent methodology 
• Tracking $4.3 billion in operations budgets 
• Database of over 20,000 buildings and 1.1 billion GSF
4 
Why Age Matters: Agenda 
1. Building lifecycles & construction vintage 
2. Campus age and its influence on operational 
effectiveness 
3. Campus age and the impact on capital investment 
and deferred maintenance 
4. Campus age and how it plays into customer 
satisfaction
5 
Building lifecycles & construction vintage
6 
The strength of the Sightlines database 
Campus Renovation Age of… 
0‐25 Years 
Old 
26‐39 Years 
Old 
40+ Years 
Old 
We grouped our Database into 3 main age buckets.
7 
Sightlines Database age over time 
41 
Age of Campus – Construction Age 
vs. Renovation Age 
42 
43 
32 
35 34 
44 
42 
40 
38 
36 
34 
32 
30 
2002 2008 2011 
Average of Weighted Construction Age GSF 
Average of Weighted Renovation Age GSF 
Buildings over 50 
Life cycles of major building components are past due. Failures are 
possible. Core modernization cycles are missed. 
Highest risk 
Buildings 25 to 50 
65% 
Life Cycles are coming due in envelope and mechanical 
systems. Functional obsolescence prevalent. 
Higher Risk 
Buildings 10 to 25 
Lower cost space renewal updates and 
initial signs of program pressures 
Medium Risk 
Buildings Under 10 
Little work .“Honeymoon” period. 
Low Risk 
What is the age of your campus and how does it impact campus leadership? 
Physical Asset Risk Level
8 
Life‐cycle cost by age of space 
$70.00 
$60.00 
$50.00 
$40.00 
$30.00 
$20.00 
$10.00 
$0.00 
Case Study University has majority of space in “high risk” area 
1,000,000 
900,000 
800,000 
700,000 
600,000 
500,000 
400,000 
300,000 
200,000 
100,000 
0 
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 
$/GSF 
GSF 
As buildings and their 
components age, different 
lifecycles come due and 
require varying levels of 
institutional resources
9 
The strength of the Sightlines database 
You can’t forget building construction vintage….. 
Not all building construction 
vintages are created equal! 
For Example….
10 
Building Vintage‐ Example of “Gracefully Aging” Architecture 
Sturdy structure Simple “guts” Double Hung 
Corridors
11 
Building Vintage‐ Example of “Mid‐life Crisis” Architecture 
Flat Roofs Casement Windows Cement and 
Title Interiors
12 
Building Vintage‐ Example of “Modern Marvel” Architecture 
Sharp Angles Window Walls Advanced 
Systems
13 
Campus age and its influence on 
operational effectiveness
14 
Daily Service Cost of Campus 
$4.40 
$4.30 
$4.20 
$4.10 
$4.00 
$3.90 
$3.80 
New spaces cost 
more to operate 
on a daily basis 
$0.35 
0‐25 26‐39 40+ 
$/GSF 
Average of Budget Total Daily Service/GSF 
Average of Budget Total Daily Service/GSF 
$0.30
15 
Energy Consumption 
140,000 
120,000 
100,000 
80,000 
60,000 
40,000 
20,000 
‐ 
Total BTU/GSF 
0‐25 26‐39 40+ 
Average of Total BTU/GSF 
140,000 
120,000 
100,000 
80,000 
60,000 
40,000 
20,000 
‐ 
Total BTU/GSF 
0‐25 26‐39 40+ 
Average of Fossil BTU/GSF 
Average of Electric BTU/GSF 
Older buildings are less 
energy efficient by 
approximately 15% 
Older buildings 
consume 30% more 
fossil fuel 
The technical nature of 
new buildings increase 
electricity consumption 
by approx. 20%
16 
Energy Cost $/MMBTU 
$18.00 
$17.50 
$17.00 
$16.50 
$16.00 
$15.50 
$15.00 
$14.50 
Average of Total Utility Unit Cost 
0‐25 26‐39 40+ 
Average of Total Utility Unit Cost 
The increase in 
electricity 
consumption in 
buildings 0‐25 
increase the 
average unit cost 
for energy 
10% 
8% 
$/MMBTU
17 
Custodial Coverage & Campus Density 
Average of Density Factor 
458 
379 
313 
480 
430 
380 
330 
280 
230 
180 
130 
80 
30 
0‐25 26‐39 40+ 
Average of Density Factor 
35,000 
34,000 
33,000 
32,000 
31,000 
30,000 
29,000 
28,000 
Average of Custodial Coverage 
0‐25 26‐39 40+ 
Average of Custodial Coverage 
New buildings are approx. 32% 
more dense than older 
buildings. 
Increased density is one factor 
that has led to an 11% 
decrease in custodial efficiency. 
Users/100K GSF 
GSF/FTE
18 
Tech Rating and Maintenance Coverage 
Average of Tech Rating 
3.06 
2.88 
2.86 
3.10 
3.05 
3.00 
2.95 
2.90 
2.85 
2.80 
2.75 
New buildings are 7% more 
technically complex than older 
0‐25 26‐39 40+ 
Average of Tech Rating 
86,000 
84,000 
82,000 
80,000 
78,000 
76,000 
74,000 
72,000 
70,000 
Average of Maintenance Coverage 
0‐25 26‐39 40+ 
Average of Maintenance Coverage 
GSF/FTE 
(Scale of 1‐5) 
Increasing technical systems 
impacts the effectiveness of 
maintenance staff
19 
Maintenance Skill Mix & Work Order Production 
Trades Staff Mix 
27% 32% 33% 
73% 68% 67% 
100% 
90% 
80% 
70% 
60% 
50% 
40% 
30% 
20% 
10% 
0% 
0‐25 26‐39 40+ 
Average of Total Struct. Tradesmen 
Average of Total Mech. Tradesmen 
600 
500 
400 
300 
200 
100 
‐ 
Work Production 
0‐25 26‐39 40+ 
Average of Maintenance DS WorkOrders/FTE 
Average of Maintenance PM WorkOrders/FTE 
% of FTEs 
Work Orders/FTE 
Newer, more technically 
complex systems require 
different staff knowledge 
Daily service work orders 
increase with age of building
20 
Utilizing work order data to identify high cost buildings 
$‐ 
$50,000.00 
$100,000.00 
$150,000.00 
$200,000.00 
$250,000.00 
$300,000.00 
$350,000.00 
$400,000.00 
$450,000.00 
$500,000.00 
KENNETH C ROWE MANA 
HOWE‐FOUNTAIN HOUSE 
CHAPTER HOUSE 
ROBIE ST 1322 
LSRI‐SOUTH TOWER 
ELECTRICAL MOBILE 2 
GOLDBERG COMPUTER SCIENCE BUILDING 
CENTRAL SRV‐PARKADE 
IND ENG&CONT ED 
I MACNAB‐A BLD ADDI 
RALPH MEDJUCK‐ADDIT 
TUPPER BLDG 
KILLAM LIBRARY 
STUD. UNION BLDG 
FORREST 
MEMORIAL ARENA 
LSC‐COMMON AREA 
CHEMISTRY PODIUM 
SEXTON MEMORIAL GYM 
BERNARD CAIN‐Q BLDG 
A.E. CAMERON‐P BLDG 
SHIRREFF HALL 
BURBIDGE 
RALPH M MEDJUCK BLD 
B BUILDING 
UNIVERSITY CLUB 
MACDONALD BLDG 
UNIVERSITY AVE 6214 
STAIRS HOUSE 
COBURG ROAD 6414 
UNIVERSITY AVE 6220 
LYALL HOUSE 
R1‐BUILDING 
LEMARCHANT ST 1390 
COBURG ROAD 6420 
SEXTON HOUSE‐E BLDG 
10 25 50 100 
Total FY11 Daily Service Work Order Cost by Building & Age Category 
Tupper Building 
1380 Work Orders 
$436,000 
953 Work Orders 
Dentistry 
$380,000 
Central Services 
519 Work Orders 
$372,000 
Killam Library 
$260,000 
652 Work Orders 
Strategically “resetting” high cost buildings can reduce “corrective” ops. costs
21 
Opportunity to release operational FTEs 
Buildings between 25‐50 yrs. old take longer to service 
Age Category 
Average hours/ DS 
Work Order 
Less than 10 4.10 
10‐25 3.70 
25‐50 5.25 
Over 50 4.31 
Age Category 
Total Daily Service 
Work Orders 
Less than 10 1,295.00 
10‐25 2,060.00 
25‐50 8,774.00 
Over 50 4,797.00 
Reduce average work order time in 
25‐50 yr. old buildings by 1 hour. 
8774 work orders/1 hour= 8774 
hours released! 
8774 hours/2080 hours (1 FTE)= 
4.2 Maintenance FTEs
22 
Campus age and the impact on capital 
investment and deferred maintenance
23 
Total Capital Investment 
$3.00 
$2.50 
$2.00 
$1.50 
$1.00 
$0.50 
$0.00 
Total Project Spending by 
Investment Type 
0‐25 26‐39 40+ 
Envelope/Mechanical Space/Code 
$6.00 
$5.00 
$4.00 
$3.00 
$2.00 
$1.00 
$0.00 
Total Project Spending 
$ /GSF 
0‐25 26‐39 40+ 
Average of Total Project Spending/GSF 
$/GSF 
$/GSF 
Older buildings require 
additional reinvestment dollars 
Regardless of age, 
envelope/mechanical and 
programmatic needs require 
investment
24 
Deferred Maintenance Backlog and Inspection Scores 
5.0 
4.5 
4.0 
3.5 
3.0 
2.5 
2.0 
1.5 
1.0 
Campus Appearance 
0‐25 26‐39 40+ 
Average of General RepairImpression 
Average of Exterior 
120.00 
100.00 
80.00 
60.00 
40.00 
20.00 
‐ 
0‐25 26‐39 40+ 
$/GSF 
Deferred Maintenance Backlog 
Average of Backlog Lump Sum GSF 
Average of Backlog Maint/Repair/GSF 
(Scale of 1‐5) 
Backlog of need is significantly 
larger in older spaces 
General repair and exterior 
appearance decline as buildings 
age and backlog of need 
increases
25 
Backlog Case Study Campus 
Aging physical plant has led to widespread critical maintenance projects 
$/GSF Building Needs by Age 
$33 
$93 
$100 
$90 
$80 
$70 
$60 
$50 
$40 
$30 
$20 
$10 
$‐ 
Building Under 50 
Years Old 
Buildings Over 50 
Years Old 
$/GSF 
Distribution of Need Type 
6% 
47% 
9% 
38% 
Reliability 
Asset Preservation 
Safety/Code 
Program Improvement
26 
Campus age and how it plays into 
customer satisfaction
27 
Changing Programmatic Demands 
Older Buildings often not configured for modern teaching pedagogy 
Sample Rooms 
1966 Building 2011 Building 
Room Features Lecture Halls, filled‐to‐capacity tablet 
arm chairs 
Student “pods”, reconfiguration 
space, multiple technology access 
points 
Student / Faculty 
Opinions 
• Dislike of tablet arm chairs 
(comfort/space) 
• Too many chairs 
• Sufficient table space for laptop, 
notebook, text book, etc. 
• Breakout areas for group discussion
28 
Concluding Remarks
29 
Concluding Remarks 
1. What is the age of your campus and how is it 
impacting the facilities management team? 
2. Is your capital investment strategy properly 
aligned given the age and vintage of your 
facilities? 
3. How are you measuring your customer 
satisfaction levels as they relate to the physical 
assets on campus?
30 
Questions and comments

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Why Campus Age Matters

  • 1. 1 Why Age Matters Date: August 23, 2012 Presented by: Jonathan King & Emily Morris University of Hartford University of Idaho University of Illinois at Chicago University of Illinois at Urbana‐Champaign The University of Maine University of Maine at Augusta University of Maine at Farmington University of Maine at Machias University of Maine at Presque Isle University of Maine at Fort Kent University of Maryland University of Massachusetts Amherst University of Massachusetts Dartmouth University of Massachusetts Lowell University of Michigan University of Minnesota University of Mississippi Medical Center University of Missouri University of Missouri ‐ Kansas City University of Missouri ‐ St. Louis University of New Hampshire University of New Haven University of North Texas University of Notre Dame University of Oregon University of Pennsylvania University of Portland University of Redlands The University of Rhode Island, Narragansett Bay The University of Rhode Island, Feinstein Providence The University of Rhode Island, Kingston University of Rochester University of San Diego University of San Francisco University of St. Thomas (TX) University of Southern Maine University of Southern Mississippi University of the Pacific University of the Sciences in Philadelphia University of Vermont Upper Iowa University Utica College Virginia Commonwealth University Virginia Department of General Services Washburn University
  • 2. 2 Who we are Jon King Associate Director Over 7 years of Sightlines Experience Emily Morris Regional Account Manager Over 5 years of Sightlines experience
  • 3. 3 Sightlines Profile Common vocabulary, consistent methodology, credibility through benchmarking HI NV UT WY ND SD OK WI LA • Company based in Guilford, CT • Common vocabulary and consistent methodology • Tracking $4.3 billion in operations budgets • Database of over 20,000 buildings and 1.1 billion GSF
  • 4. 4 Why Age Matters: Agenda 1. Building lifecycles & construction vintage 2. Campus age and its influence on operational effectiveness 3. Campus age and the impact on capital investment and deferred maintenance 4. Campus age and how it plays into customer satisfaction
  • 5. 5 Building lifecycles & construction vintage
  • 6. 6 The strength of the Sightlines database Campus Renovation Age of… 0‐25 Years Old 26‐39 Years Old 40+ Years Old We grouped our Database into 3 main age buckets.
  • 7. 7 Sightlines Database age over time 41 Age of Campus – Construction Age vs. Renovation Age 42 43 32 35 34 44 42 40 38 36 34 32 30 2002 2008 2011 Average of Weighted Construction Age GSF Average of Weighted Renovation Age GSF Buildings over 50 Life cycles of major building components are past due. Failures are possible. Core modernization cycles are missed. Highest risk Buildings 25 to 50 65% Life Cycles are coming due in envelope and mechanical systems. Functional obsolescence prevalent. Higher Risk Buildings 10 to 25 Lower cost space renewal updates and initial signs of program pressures Medium Risk Buildings Under 10 Little work .“Honeymoon” period. Low Risk What is the age of your campus and how does it impact campus leadership? Physical Asset Risk Level
  • 8. 8 Life‐cycle cost by age of space $70.00 $60.00 $50.00 $40.00 $30.00 $20.00 $10.00 $0.00 Case Study University has majority of space in “high risk” area 1,000,000 900,000 800,000 700,000 600,000 500,000 400,000 300,000 200,000 100,000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 $/GSF GSF As buildings and their components age, different lifecycles come due and require varying levels of institutional resources
  • 9. 9 The strength of the Sightlines database You can’t forget building construction vintage….. Not all building construction vintages are created equal! For Example….
  • 10. 10 Building Vintage‐ Example of “Gracefully Aging” Architecture Sturdy structure Simple “guts” Double Hung Corridors
  • 11. 11 Building Vintage‐ Example of “Mid‐life Crisis” Architecture Flat Roofs Casement Windows Cement and Title Interiors
  • 12. 12 Building Vintage‐ Example of “Modern Marvel” Architecture Sharp Angles Window Walls Advanced Systems
  • 13. 13 Campus age and its influence on operational effectiveness
  • 14. 14 Daily Service Cost of Campus $4.40 $4.30 $4.20 $4.10 $4.00 $3.90 $3.80 New spaces cost more to operate on a daily basis $0.35 0‐25 26‐39 40+ $/GSF Average of Budget Total Daily Service/GSF Average of Budget Total Daily Service/GSF $0.30
  • 15. 15 Energy Consumption 140,000 120,000 100,000 80,000 60,000 40,000 20,000 ‐ Total BTU/GSF 0‐25 26‐39 40+ Average of Total BTU/GSF 140,000 120,000 100,000 80,000 60,000 40,000 20,000 ‐ Total BTU/GSF 0‐25 26‐39 40+ Average of Fossil BTU/GSF Average of Electric BTU/GSF Older buildings are less energy efficient by approximately 15% Older buildings consume 30% more fossil fuel The technical nature of new buildings increase electricity consumption by approx. 20%
  • 16. 16 Energy Cost $/MMBTU $18.00 $17.50 $17.00 $16.50 $16.00 $15.50 $15.00 $14.50 Average of Total Utility Unit Cost 0‐25 26‐39 40+ Average of Total Utility Unit Cost The increase in electricity consumption in buildings 0‐25 increase the average unit cost for energy 10% 8% $/MMBTU
  • 17. 17 Custodial Coverage & Campus Density Average of Density Factor 458 379 313 480 430 380 330 280 230 180 130 80 30 0‐25 26‐39 40+ Average of Density Factor 35,000 34,000 33,000 32,000 31,000 30,000 29,000 28,000 Average of Custodial Coverage 0‐25 26‐39 40+ Average of Custodial Coverage New buildings are approx. 32% more dense than older buildings. Increased density is one factor that has led to an 11% decrease in custodial efficiency. Users/100K GSF GSF/FTE
  • 18. 18 Tech Rating and Maintenance Coverage Average of Tech Rating 3.06 2.88 2.86 3.10 3.05 3.00 2.95 2.90 2.85 2.80 2.75 New buildings are 7% more technically complex than older 0‐25 26‐39 40+ Average of Tech Rating 86,000 84,000 82,000 80,000 78,000 76,000 74,000 72,000 70,000 Average of Maintenance Coverage 0‐25 26‐39 40+ Average of Maintenance Coverage GSF/FTE (Scale of 1‐5) Increasing technical systems impacts the effectiveness of maintenance staff
  • 19. 19 Maintenance Skill Mix & Work Order Production Trades Staff Mix 27% 32% 33% 73% 68% 67% 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 0‐25 26‐39 40+ Average of Total Struct. Tradesmen Average of Total Mech. Tradesmen 600 500 400 300 200 100 ‐ Work Production 0‐25 26‐39 40+ Average of Maintenance DS WorkOrders/FTE Average of Maintenance PM WorkOrders/FTE % of FTEs Work Orders/FTE Newer, more technically complex systems require different staff knowledge Daily service work orders increase with age of building
  • 20. 20 Utilizing work order data to identify high cost buildings $‐ $50,000.00 $100,000.00 $150,000.00 $200,000.00 $250,000.00 $300,000.00 $350,000.00 $400,000.00 $450,000.00 $500,000.00 KENNETH C ROWE MANA HOWE‐FOUNTAIN HOUSE CHAPTER HOUSE ROBIE ST 1322 LSRI‐SOUTH TOWER ELECTRICAL MOBILE 2 GOLDBERG COMPUTER SCIENCE BUILDING CENTRAL SRV‐PARKADE IND ENG&CONT ED I MACNAB‐A BLD ADDI RALPH MEDJUCK‐ADDIT TUPPER BLDG KILLAM LIBRARY STUD. UNION BLDG FORREST MEMORIAL ARENA LSC‐COMMON AREA CHEMISTRY PODIUM SEXTON MEMORIAL GYM BERNARD CAIN‐Q BLDG A.E. CAMERON‐P BLDG SHIRREFF HALL BURBIDGE RALPH M MEDJUCK BLD B BUILDING UNIVERSITY CLUB MACDONALD BLDG UNIVERSITY AVE 6214 STAIRS HOUSE COBURG ROAD 6414 UNIVERSITY AVE 6220 LYALL HOUSE R1‐BUILDING LEMARCHANT ST 1390 COBURG ROAD 6420 SEXTON HOUSE‐E BLDG 10 25 50 100 Total FY11 Daily Service Work Order Cost by Building & Age Category Tupper Building 1380 Work Orders $436,000 953 Work Orders Dentistry $380,000 Central Services 519 Work Orders $372,000 Killam Library $260,000 652 Work Orders Strategically “resetting” high cost buildings can reduce “corrective” ops. costs
  • 21. 21 Opportunity to release operational FTEs Buildings between 25‐50 yrs. old take longer to service Age Category Average hours/ DS Work Order Less than 10 4.10 10‐25 3.70 25‐50 5.25 Over 50 4.31 Age Category Total Daily Service Work Orders Less than 10 1,295.00 10‐25 2,060.00 25‐50 8,774.00 Over 50 4,797.00 Reduce average work order time in 25‐50 yr. old buildings by 1 hour. 8774 work orders/1 hour= 8774 hours released! 8774 hours/2080 hours (1 FTE)= 4.2 Maintenance FTEs
  • 22. 22 Campus age and the impact on capital investment and deferred maintenance
  • 23. 23 Total Capital Investment $3.00 $2.50 $2.00 $1.50 $1.00 $0.50 $0.00 Total Project Spending by Investment Type 0‐25 26‐39 40+ Envelope/Mechanical Space/Code $6.00 $5.00 $4.00 $3.00 $2.00 $1.00 $0.00 Total Project Spending $ /GSF 0‐25 26‐39 40+ Average of Total Project Spending/GSF $/GSF $/GSF Older buildings require additional reinvestment dollars Regardless of age, envelope/mechanical and programmatic needs require investment
  • 24. 24 Deferred Maintenance Backlog and Inspection Scores 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 Campus Appearance 0‐25 26‐39 40+ Average of General RepairImpression Average of Exterior 120.00 100.00 80.00 60.00 40.00 20.00 ‐ 0‐25 26‐39 40+ $/GSF Deferred Maintenance Backlog Average of Backlog Lump Sum GSF Average of Backlog Maint/Repair/GSF (Scale of 1‐5) Backlog of need is significantly larger in older spaces General repair and exterior appearance decline as buildings age and backlog of need increases
  • 25. 25 Backlog Case Study Campus Aging physical plant has led to widespread critical maintenance projects $/GSF Building Needs by Age $33 $93 $100 $90 $80 $70 $60 $50 $40 $30 $20 $10 $‐ Building Under 50 Years Old Buildings Over 50 Years Old $/GSF Distribution of Need Type 6% 47% 9% 38% Reliability Asset Preservation Safety/Code Program Improvement
  • 26. 26 Campus age and how it plays into customer satisfaction
  • 27. 27 Changing Programmatic Demands Older Buildings often not configured for modern teaching pedagogy Sample Rooms 1966 Building 2011 Building Room Features Lecture Halls, filled‐to‐capacity tablet arm chairs Student “pods”, reconfiguration space, multiple technology access points Student / Faculty Opinions • Dislike of tablet arm chairs (comfort/space) • Too many chairs • Sufficient table space for laptop, notebook, text book, etc. • Breakout areas for group discussion
  • 29. 29 Concluding Remarks 1. What is the age of your campus and how is it impacting the facilities management team? 2. Is your capital investment strategy properly aligned given the age and vintage of your facilities? 3. How are you measuring your customer satisfaction levels as they relate to the physical assets on campus?
  • 30. 30 Questions and comments

Editor's Notes

  1. Facilities MB&A with Flagship and Systems
  2. This is from LIU Brooklyn & CW Post
  3. 50 years ago, teaching styles were mainly lecture based – students sat in a room, a professor told them information, and students took notes. This type of teaching lends itself to maximize the number of seats in each room- many rooms were either large lecture halls or tightly-packed tablet arm chairs. Teaching styles in many disciplines have shifted to “Active Learning” – professors engage students about a specific topic, and students breakout into small groups to discuss or work on a mini-project, and come back together as a class to review findings. This type of teaching/learning style requires that the room provide flexible seating, breakout space, ample space to allow for the movement of people and furniture, and significant additional technology (notice the extra TVs on the walls, with hookups for each pod). Many older buildings can not be configured to this type of space due to size or technology requirements.