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Paper ID #13811
Engineering the Future Workforce Required by a Global Engineering Indus-try
Dr. Michael Richey, The Boeing Company
Michael Richey is an Associate Technical Fellow currently assigned to support workforce developmentand engineering education research. Michael is responsible for leading learning science research, whichfocuses on learning ecologies, complex adaptive social systems and learning curves. Michael pursuesthis research agenda with the goal of understanding the interplay between innovation, knowledge trans-fer and economies of scale as they are manifested in questions of growth, evolvability, adaptability andsustainability.
Additional responsibilities include providing business leadership for engineering technical and profes-sional educational programs. This includes topics in advanced aircraft construction, composites structuresand product lifecycle management. Michael is responsible for leading cross-organizational teams fromacademic, government focusing on how engineering education must acknowledge and incorporate thisnew information and knowledge to build new methodologies and paradigms that engage these develop-ments in practice. The objective of this research is focused on achieving continuous improvement andsustainable excellence in engineering education.
Mr. Fabian Zender, The Boeing Company
Fabian Zender is an Engineering Performance Coach at The Boeing Company where he participates inresearch in the Technical and Professional Learning Solutions group. He obtained his undergraduate andgraduate degree in Aerospace Engineering from the Georgia Institute of Technology. In his researchFabian focuses on learning as a sociotechnical system, utilizing data analytics and learning science andcombining them with traditional engineering approaches to advance personalized learning and optimizeorganizational performance.
Dr. Charles J. Camarda, NASA
Dr. Charles Camarda Biography (Long) Dr. Camarda graduated fromArchbishop Molloy High School, Jamaica, New York, in 1970. He received a bachelor of science degreein aerospace engineering from Polytechnic Institute of Brooklyn in 1974 and a master of science degreein engineering science from George Washington University in 1980. In 1990, he received a doctorate inaerospace engineering from Virginia Polytechnic Institute and State University.
Upon completing his B.S. degree from the Polytechnic Institute of Brooklyn, Camarda began work forNASA’s Langley Research Center, Hampton, Virginia, in 1974. He was a research scientist in the Ther-mal Structures Branch of the Structures and Materials Division and was responsible for demonstrating thefeasibility of a heat-pipe-cooled leading edge for Space Shuttle by analysis, laboratory experiments, andaerothermal testing in Langley’s 8-foot High Temperature Tunnel. He conducted analytical and experi-mental research in heat pipes, structural mechanics and dynamics, heat transfer, and numerical optimiza-tion for aircraft, spacecraft, and space launch vehicles. While at Langley, Camarda earned his masters’degree from George Washington University in Engineering Science with emphasis on mechanics of com-posite structures at elevated temperature and his doctorate degree from Virginia Polytechnic Institute andState University with emphasis on the development of advanced modal methods for efficiently predict-ing transient thermal and structural performance. In 1989, Camarda was selected to lead the Structuresand Materials Technology Maturation Team for the National Aero-Space Plane (NASP) program, whichwas responsible for maturing materials and structures technologies necessary to enable the developmentof an airbreathing hypersonic vehicle capable of horizontal take-off to orbit. Camarda was selected tohead the Thermal Structures Branch (TSB) in 1994 with responsibility for a research engineering staff,two major focused programs (the high-speed research (HSR) and reusable launch vehicle (RLV) pro-grams), and several structural test facilities including the Thermal Structures Laboratory. Some of theprimary responsibilities of the TSB are the development of durable, lightweight metallic thermal protec-tion systems (TPS), advanced leading edges for hypersonic vehicles using carbon-carbon material and
c©American Society for Engineering Education, 2015
Page 26.646.1
Paper ID #13811
heat pipes, reusable cryogenic tank systems, and graphite-composite primary structure for RLV. Camardahas received over 21 NASA awards for technical innovations and accomplishments. He also received aResearch and Development 100 award from Industrial Research Magazine for one of the top 100 technicalinnovations of 1983 entitled ”Heat-Pipe-Cooled Sandwich Panel.” He holds 9 patents.
Selected as an astronaut candidate by NASA in April 1996, Dr. Camarda reported to the NASA JohnsonSpace Center in August 1996. He completed two years of training and evaluation that qualified himfor flight assignment as a mission specialist. Dr. Camarda has been assigned technical duties in theAstronaut Office Spacecraft Systems/Operations Branch, was on the Expedition-8 back-up crew, servedas Director, Engineering, Johnson Space Center, and was assigned to the NASA Engineering and SafetyCenter (NESC). Through the NESC, Dr. Camarda used his technical expertise to evaluate problems andsupplement safety and engineering activities for Agency programs. Dr. Camarda flew as MS-5 on theReturn to Flight mission STS-114 Discovery (July 26-August 9, 2005), and has logged over 333 hoursin space. He currently serves as Senior Advisor for Engineering Development to the Center Director atNASA’s Langley Research Center.
Biography (Short) Charles Camarda was born in Queens, New York and received his undergraduate degreein Aerospace Engineering from the Polytechnic Institute of Brooklyn in 1974. Upon graduation, he beganwork at NASA’s Langley Research Center (LaRC), received his M.S. from GW in Mechanical Engineeringin 1980 and a Ph.D. in Aerospace Engineering from VPI in 1990. He was Head of the Thermal StructuresBranch at LaRC and led the structures and materials efforts of two programs: The National Aero-SpacePlane (NASP) and the Single-Stage-to Orbit Program. He was selected to be an Astronaut in 1996 and flewon the return-to-flight mission of Space Shuttle following the Columbia Accident, STS-114, in 2005. Hewas selected Director of Engineering at JSC in December 2005 and is now the Sr. Advisor for EngineeringDevelopment at NASA’s Langley Research Center.
c©American Society for Engineering Education, 2015
Page 26.646.2
Engineering the Future Workforce required by a
Global Engineering Industry
Introduction
The nation’s aerospace workforce is undergoing systemic and disruptive changes including, age
distribution, technological advances and transformations as well as global business pressures.
Traditional undergraduate programs are not equipping graduates with the skills needed for the
complex challenges of the 21st century. 1 These pressures are leading industry to ask the
questions; a) how can we partner with academia and the government to advance personalized
learning and b) how can we leverage our investment and intellectual capital to increase the
quantity/quality and knowledge transfer of the current STEM workforce, education pipeline and
labor supply?
Disruptive changes:
Ageing: Roughly a quarter of the nation's 637,000 aerospace workers could be eligible
for retirement in 2015. 2
Globalization: Engineers work through global multidisciplinary and distributive teams to
optimize business solutions.
Technology: Convergence of competition is connecting IT, infrastructure, automation
and economies. These mega trends will converge and future Internet of Things (IOT)
interconnectivity and Big Data will reshape the marketplace and drive new innovation
into industries and products.
For the U.S. to remain competitive in advanced manufacturing, our students must have access to
education opportunities that prepare them for this transformation. This “complex adaptive social
system” requires us to rethink the traditional boundaries of engineering and manufacturing
education within the broader ecosystem of a sociotechnical framework. The systemic and
disruptive changes described above have exposed the skills required by the continuous
application of innovative technologies. The dynamics of this complex system, coupled with
challenges in the workforce demographics, advances in technology and social connectivity have
created an environment requiring dramatic changes in the way we educate students, from
primary and secondary to post-secondary education to ensure their future career success. 3
While individual teachers have made great strides in improving the learning of their individual
students to accommodate the requirements of a global workforce in the 21st century overall
engineering companies and governmental agencies are challenged by the scarcity and quality of
graduates produced by the education system at all levels. 1 To better understand this complex
sociotechnical system and counter the visible phenomena 4, The Boeing Company and the
National Aeronautics and Space Administration (NASA) both engineered capstone programs in
partnership with leading educational institutions which prepares students with skills in the
science, technology, engineering and mathematics (STEM) areas and do so collaboratively
across the United States. This paper will map these new capstone programs detailed below
against existing accreditation criteria including The Accreditation Board for Engineering and
Technology – ABET 5 and detailed criteria for Knowledge, Skills, and Abilities (KSA’s)
described in a recent report titled Transforming Undergraduate Engineering Education, funded
Page 26.646.3
by the National Science Foundation (NSF) and published by the American Society for
Engineering Education (ASEE). 6
Problem Statement
Expanding on the issues described in the introduction, the problems faced by science and
engineering (S&E) employers, whether in industry or governmental agencies, are multifaceted
and combinatorial. The supply and demand of graduates currently is not in an equilibrium stage,
and despite the efforts to expand STEM opportunities, the number of college students pursuing
science and engineering is stagnating. 7 Stagnation continues when unemployment is at record
lows for S&E graduates, this dynamic defies the “invisible hand” logic and persist after years of
investment and countless new programs. 8 Similar trends are widely reported by research centers,
professional societies, and consultants among others. 4,9,10
The world is intertwined with the advancing of distributive business processes, i.e., additive
manufacturing, big data, massive multiplayer online role playing (MMORPG) technology, and
social networking all converging and accelerating the skill gap between engineering education
and the workforce. This disruptive landscape presents a significant challenge to future workforce
and advanced manufacturing leadership in the United States. This skills gap manifests itself in
the unfamiliarity that recent hires often face when working on projects where they are required to
collaborate across space and time in an environment with non-optimal data availability requiring
them to make decisions that fall outside the narrowly prescribed theoretical scenarios
encountered in school. 9 In addition the dialogue between universities and industry has not yet
yielded a balance between the academic foundational requirements and industry required
application to real world problems. The skills gap is constituted of lacks in both “hard” and
“soft” skills. 11,12
In this paper the focus is on identifying opportunities to further develop these professional
(“soft”) skills required by small and large companies alike. Almost all graduates in (STEM)
fields will have interactions in a social web comprised of colleagues, suppliers, and customers
located outside their home state and likely distributed globally. This reality has prompted various
professional societies to reevaluate their educational objectives after thorough review with their
industry sponsors. 13,14,15 Most notably ASEE recently provided a draft document valid for all
engineering disciplines which was developed through various workshops with representatives of
both industry and academia. 6
Industry has reacted to this reality by increasingly reaching out to academia and providing input
through external advisory boards, research collaborations, or other initiatives. Boeing and NASA
partnered with universities to not only provide feedback but actively engage in curriculum
development and delivery around actual problems faced in their respective organizations.
Universities in their often siloed departmental structure frequently have difficulty to bring real
world, multidisciplinary challenges in the context of the education they provide. 16
Capstone course are typically regarded as the pinnacle of the undergraduate engineering
experience, not only is each university very particular about its design but even different schools
(e.g. Electrical Engineering vs. Aerospace Engineering) within the same College of Engineering
may have very different capstone programs. There are some examples of departments working to
Page 26.646.4
bridge these gaps 17 18, but these differences, the associated history within each program, and the
fact that capstone courses are often the only vehicle by which some ABET criteria can be
fulfilled result in strong protectionist stances within many academic departments when
approached with the opportunity utilizing a different approach.
Table 1 shows how a typical capstone, the AerosPACE capstone (Boeing sponsored), and ICED
capstone (NASA sponsored) align to the ABET criteria. Both courses have already and still are
being delivered. 19 20 While there are of course variations between capstone programs, as
previously discussed, there are some general trends that can be observed. In a survey 83% of
academic programs responded that there capstone course consisted of department teams, 21 this
means that for a large majority of programs the capstone cannot be multidisciplinary as required
of the programs in ABET criteria (d). Similarly can criterion (g) effective communication really
be met if the only communication required is with people that you can always talk face to face
with? Both the AerosPACE and ICED program meet and surpass all ABET program
requirements in a single course and because they are steeped in research and utilizing modern
interaction platforms allow for true evaluation of student success in each. More details for this
will be provided later on.
Page 26.646.5
Table 1. Comparison of Traditional Capstone and Keystone Programs
ABET Criteria Traditional
Capstone AerosPACE ICED
(a) an ability to apply knowledge of mathematics,
science, and engineering
(b) an ability to design and conduct experiments,
as well as to analyze and interpret data
(c) an ability to design a system, component, or
process to meet desired needs within realistic
constraints such as economic, environmental,
social, political, ethical, health and safety,
manufacturability, and sustainability
(d) an ability to function on multidisciplinary
teams
(e) an ability to identify, formulate, and solve
engineering problems
(f) an understanding of professional and ethical
responsibility
(g) an ability to communicate effectively (h) the broad education necessary to understand
the impact of engineering solutions in a global,
economic, environmental, and societal context
(i) a recognition of the need for, and an ability to
engage in life-long learning
(j) a knowledge of contemporary issues (k) an ability to use the techniques, skills, and
modern engineering tools necessary for
engineering practice
Solution Approach
The natural alignment of the AerosPACE and ICED programs quickly let to a close collaboration
with joint development of future iterations between Boeing and NASA. AerosPACE is a
partnership between The Boeing Company, Brigham Young University with a NSF funded
Center for e-Design, Georgia Institute of Technology, Purdue University, a Embry-Riddle
Aeronautical University, and a Tuskegee University a Historically Black College carrying out a
collaborative design, build, fly experience where student teams distributed across the universities
over the course of two semesters solve a real life engineering challenge provided by industry.
Design requirements are based on national and international needs, e.g. support of first
responders on dangerous situations or precision agriculture to increase yield for a growing global
population.
NASA partnered with multiple universities (including Massachusetts Institute of Technology,
Georgia Institute of Technology, and Penn State) engaging both high school, undergraduate, and
graduate students in an epic challenge of global concern, e.g. capturing and retrieving an
asteroid. Students meet during the summer for an intense one week workshop to begin their
Page 26.646.6
collaboration and use it as a starting point for the two semester endeavor into an epic space
problem. 20
Both programs require the students to apply their theoretical knowledge in a new collaborative
environment where they do not fight for their personal award (grade) but rather have to rely on
the distributed cognition of team members in various domains to solve challenging tasks. Focus
switches from competition to collaboration, from disciplinary to multi-disciplinary thinking,
from theory to application. Students are mentored and must execute many of the tasks that are
part of everyday work experiences for so many, like managing a budget or creating and
delivering on project schedules. Students are encouraged to fail fast, early, often, cheap, and
smart to develop truly innovative solutions that fulfill customer requirements. 22 Graduates of the
program see a clear alignment of these objectives and tasks to their careers following
graduation.23
The programs are developed as a partnership requiring both industry representatives and faculty
to overcome the multifaceted challenges of such an endeavor. The structure for such a
collaboration relies on mutual agreement and understanding of purposes and objectives. 24
Student outcomes have been documented and proven to be successful 19,25,23, but must now be
linked back to the realities of academic degrees, mainly the accreditation process.
Accreditation Criteria
While many of the above mentioned guidance by professional associations is very detailed, the
reality of engineering education today is that programs are accredited based on ABET
requirements not desires of professional societies or industry. ABET evaluates programs based
on multiple criteria, one of the important ones being student outcomes, criterion 3. 5 Appendix A
shows how these criteria are met and measured in the heretofore described programs.
In addition to current ABET criteria, efforts by ASEE have also yielded a list of Knowledge,
Skills and Abilities (KSA’s) that are desired of future engineers. 6 These KSA’s were deemed
critical by industry and academia. An extended list was provided, but Appendix B below shows
the fifteen most valuable KSA’s. These KSA’s are similar, but more detailed than Criterion 3
currently in use by ABET (see Appendix A). Some of the KSA’s are likely to find their way into
any new accreditation standards to be developed.
Program sponsors and faculty of both the AerosPACE and ICED programs collaborated to not
only identify how ABET criteria and KSA’s are applied in their programs, but more importantly
how they can be measured. Many of the ABET criteria are professional skills that are difficult to
evaluate, if not architected appropriately, a capstone program will be unable to evaluate them. A
group of program leaders thus identified for each ABET criterion (see Table 2 for sample, and
Appendix A for full table) and each KSA (see Appendix B) how AerosPACE and ICED align to
the regulatory requirements. For this purpose criteria were evaluated at the capstone course level,
considering both semesters of each project (AerosPACE and ICED) as one. Table 2 shows just
one example how both programs not only provide an opportunity to work in multidisciplinary
teams, but also provide robust evaluation thereof through the means of an online interaction
platform. Page 26.646.7
Table 2. Sample of ABET criterion application and measurement
ABET Criterion Application in Program Measurement
(d) an ability to function on
multidisciplinary teams
Problem statements are
designed such that individuals
from a single discipline
would be unable to complete
it. Students are on teams that
are not only multidisciplinary
(multiple majors) but also
have team members from
various universities in
different time zones.
Students are evaluated
through multiple surveys to
establish their motivation and
collaboration. Data is
supplemented by clickstream
data from the learning
management system (LMS)
utilized for team discussions.
Faculty and industry coaches
assigned to work with teams
on a daily/weekly basis and
provide guidance and
informal evaluation of
collaboration.
The full tables in Appendix A and Appendix B show that both AerosPACE and ICED provide an
opportunity to have students practice all the skills required by ABET accreditation or outlined as
critical KSA’s by industry and academia. Not only are these metrics addressed in these
programs, but in fact they are measured and allow student evaluation on both an individual and a
team basis. For ABET accreditation (or reaccreditation) this is a very important aspect as it gives
additional merit to the application.
The heretofore described correlation of the program to ABET requirements, exists not only at the
course level, but can in fact be reduced to individual lectures. Table 3 shows last year’s lecture
schedule for the AerosPACE program and how each lecture aligns to the ABET criteria.
Alignment was measured using a three point scale (low -1, medium – 5, high – 10), a three point
scale rather than the more common five-point Likert scale was used due to the lack of definition
in the ABET requirements. It was determined that a five-point scale did not yield consistent
results between evaluators. Weightings of 1, 5, and 10 were used simply to more clearly
distinguish between the three choices. Evaluators were selected from the program leadership and
faculty, results shown indicate consensus between all evaluators; no individual tallies were
obtained. The authors are aware that bias may be introduced by utilizing evaluators that are
participants in the program, but given the constraints (availability of neutral evaluator with
sufficient knowledge of the detailed lectures) it was determined that this was an acceptable risk.
Out of 71 total lecture instances 27 (38%) meet all ABET criteria, 61 (86%) touch on 8 or more
of the 11 ABET criteria. Criterion (j) knowledge of contemporary issues is covered least often,
but still touched upon in more than half of the lecture instances. Four criteria (e, f, i, k) are
touched upon more than 90% of the time, and additional five more than 80% of the time, see
Table 4.
Page 26.646.8
Table 3. Lecture Alignment to ABET Criteria (Partial)
Topic (a)
an a
bili
ty t
o a
ppl
y kn
ow
ledg
e o
f
ma
them
atic
s, s
cien
ce, a
nd
en
gin
eeri
ng
(b)
an a
bili
ty t
o d
esig
n a
nd c
ond
uct
exp
erim
ent
s, a
s w
ell a
s to
an
alyz
e an
d
inte
rpre
t d
ata
(c)
an
abi
lity
to d
esig
n a
sys
tem
, co
mp
on
ent,
or
pro
cess
to
me
et d
esi
red
ne
eds
wit
hin
real
isti
c co
nst
rain
ts s
uch
as
eco
no
mic
,
envi
ronm
enta
l, so
cial
, po
litic
al,
eth
ical
,
hea
lth
an
d s
afet
y, m
anu
fact
ura
bili
ty, a
nd
sust
ain
abi
lity
(d)
an a
bili
ty t
o f
un
ctio
n o
n
mu
ltid
isci
plin
ary
team
s(e
) a
n a
bilit
y to
iden
tify
, fo
rmu
late
, an
d s
olv
e
engi
ne
erin
g p
robl
em
s(f
) an
und
ers
tan
din
g o
f p
rofe
ssio
nal a
nd
eth
ical
res
po
nsi
bili
ty(g
) an
ab
ility
to
com
mun
icat
e e
ffec
tive
ly(h
) th
e b
roa
d e
duc
atio
n n
eces
sary
to
un
ders
tan
d t
he
impa
ct o
f e
ngin
eer
ing
solu
tio
ns
in a
glo
bal
, eco
no
mic
,
envi
ronm
enta
l, an
d s
oci
etal
con
text
(i)
a re
cogn
itio
n o
f th
e n
eed
fo
r, a
nd
an
abili
ty t
o e
nga
ge in
life
-lo
ng le
arni
ng
(j)
a kn
ow
ledg
e o
f co
nte
mp
ora
ry is
sues
(k)
an a
bili
ty t
o u
se t
he
tech
niq
ues
, ski
lls,
and
mo
der
n e
ngi
nee
rin
g to
ols
nec
essa
ry f
or
engi
ne
erin
g p
ract
ice
.
Co
un
t
Co
un
t %
Ave
rage
Boeing Introduction 1 1 10 5 4 36.4% 4.3
Introduction to AerosPACE 1 5 2 18.2% 3.0
Introduction to the RFP 1 5 10 5 4 36.4% 5.3
Teamwork & Collaboration 10 1 5 10 1 1 1 7 63.6% 4.1
Teamwork & Collaboration 10 1 5 10 1 1 1 7 63.6% 4.1
Aircraft Design & Requirements 10 5 10 10 1 1 1 10 8 72.7% 6.0
Project Planning & Management 5 1 5 1 10 5 45.5% 4.4
Systems Engineering & Critical Thinking 10 5 5 10 1 5 5 10 8 72.7% 6.4
Configuration Selection & Vehicle Performance 5 1 10 10 10 1 1 1 5 1 5 11 100.0% 4.5
OpenVSP Demonstration 1 1 5 5 5 10 6 54.5% 4.5
Spreadsheet Based Sizing Tool 10 10 10 10 10 1 1 1 10 9 81.8% 7.0
Background on Sensor Information 10 10 5 5 5 1 1 5 1 5 10 11 100.0% 5.3
Performance Based Sizing 10 5 10 10 1 1 1 10 8 72.7% 6.0
Spreadsheet Based Sizing Tool - Constraint Sizing 10 5 10 10 1 1 1 10 8 72.7% 6.0
Wing and Airfoil Analysis using XFLR5 10 10 5 1 5 1 5 1 10 9 81.8% 5.3
Stability & Control Guidelines 10 5 5 5 5 5 5 1 10 9 81.8% 5.7
Introduction to XFLR5 10 10 5 5 10 1 5 1 10 9 81.8% 6.3
Intorduction to AVL 10 10 5 5 10 1 5 1 10 9 81.8% 6.3
Propulsion Considerations 10 5 10 10 10 5 5 1 1 5 10 90.9% 6.2
Electric Motor and Fan/Prop Analysis 10 10 10 5 10 1 5 1 10 9 81.8% 6.9
Application of XFLR5 and AVL 5 10 10 10 10 5 5 1 1 10 10 90.9% 6.7
Structural Arrangement, Weight & Balance 10 5 10 10 10 5 5 5 1 10 10 90.9% 7.1
Spreadsheet Based Sizing Tool - Weight & Balance 10 5 10 10 1 1 1 10 8 72.7% 6.0
Collaborative Technical Writing and Reporting 10 1 5 10 5 5 5 10 8 72.7% 6.4
Structural Drawings 5 5 1 5 5 10 1 10 8 72.7% 5.3
Prepapration for Conceptual Design Review 5 10 10 10 5 5 45.5% 8.0
Conceptual Design Review 10 10 10 10 10 10 10 10 5 10 10 11 100.0% 9.5
Introduction of Boeing Coaches 1 10 1 5 10 1 10 5 8 72.7% 5.4
Page 26.646.9
Table 4. Summary of Lecture Alignment to ABET Criteria
ABET Criteria %of
Lectures
Average
Alignment
(a) an ability to apply knowledge of mathematics, science, and
engineering 83.1% 8.9
(b) an ability to design and conduct experiments, as well as to
analyze and interpret data 83.1% 7.9
(c) an ability to design a system, component, or process to meet
desired needs within realistic constraints such as economic,
environmental, social, political, ethical, health and safety,
manufacturability, and sustainability
88.7% 8.0
(d) an ability to function on multidisciplinary teams 88.7% 8.1
(e) an ability to identify, formulate, and solve engineering
problems 94.4% 8.6
(f) an understanding of professional and ethical responsibility 94.4% 4.9
(g) an ability to communicate effectively 87.3% 7.1
(h) the broad education necessary to understand the impact of
engineering solutions in a global, economic, environmental, and
societal context
71.8% 4.5
(i) a recognition of the need for, and an ability to engage in life-
long learning 93.0% 2.9
(j) a knowledge of contemporary issues 50.7% 3.9
(k) an ability to use the techniques, skills, and modern
engineering tools necessary for engineering practice 93.0% 9.1
Conclusion
The skills gap both in the technical (“hard”) and professional (“soft”) skills is a reality of the
modern science and engineering workforce, but collaboration of employers (industry or
governmental agencies) with universities can lead to successful partnerships to design and
develop curriculum that brings together the theoretical foundation with real-life problems and
exposes students to the realities of work life with its associated tools and processes. Such a
partnership offers unique opportunities to meet and exceed current accreditation standards
(ABET) and future goals for Knowledge, Skills, and Abilities (KSA’s). When designed properly
and given the proper tools, as outlined here, it allows for the evaluation of these multi-modal
requirements for individual students, thus advancing the National Academy of Engineering’s
grand challenge to advance personalized learning. In partnership industry, governmental
agencies, and academia can work together to create a brighter future for all.
Page 26.646.10
References
1. Stephens, R. & Richey, M., Accelerating STEM Capacity: A Complex Adaptive System
Perspective. Journal of Engineering Education 100 (3), 417-423 (2011).
2. Montgomery, D., Retiree flood waits in aerospace wings (Seattle, WA, 2008).
3. Carnevale, A. P., Smith, N. & Strohl, J., 2013.
4. Carnevale, A. P., Smith, N. & Strohl, J., Recovery Job Growth and Education Requirements
Through 2020 (2013).
5. Engineering Accreditation Comission, Criteria for Accrediting Engineering Programs
(Accreditation Bureau for Engineering and Technology, Baltimore, MA, 2013).
6. American Society for Engineering Education, Transforming Undergraduate Education in
Engineering (American Society for Engineering Education, Arlington, VA, 2013).
7. Korn, M., Number of College Students Pursuing Science, Engineering Stagnates. Wall
Street Journal (2015).
8. National Science Board, Science & Engineering Indicators (National Science Foundation,
Arlington, VA, 2014).
9. Society of Manufacturing Engineers, Workforce Imperative: A Manufacturing Education
Strategy (Society of Manufacutring Engineers, Dearborn, MI, 2012).
10. Adachi, B., Gretczko, M. & Pelster, B., Human Capital Trends in Manufacturing
Challenges and Opportunities (Deloitte Consulting LLP, 2014).
11. Zender, F., An IPPD Approach Providing a Modular Framework to Closing the Capability
Gap and Preparing a 21st Century Workforce (Georgia Institute of Technology, Atlanta,
GA, 2014).
12. Morrison, T. et al., 2013.
13. Wepfer, W. & Warrignton, R., Vision 2030Creating the Future of Mechanical Engineering
Education (American Society of Mechanical Engineers, Pittsburgh, 2010, 2010).
14. American Society of Civil Engineers, Civil Engineering Body of Knowledge for the 21st
Century (American Society of Civil Engineers, Reston, VA, 2008).
15. American Institute for Aeronautics and Astronautics, Building our Competitive Foundation:
Supporting K-12 STEM Education (American Institute for Aeronautics and Astronautics,
Reston, VA, 2014).
16. Hotaling, N., Burks Fasse, B., Bost, L. F., Hermann, C. D. & Forest, C. R., A Quantitative
Analysis of the Effects of a Multidisciplinary Engineering Capstone Design Course. Journal
of Engineering Education 101 (4), 630-656 (2012).
17. Stanfill, K., Wiens, G., Eisenstadt, W. & Crisalle, O., Lessons Learned in Integrated
Product and Process Design Education, presented at ASEE Southeast Section Conference, ,
2002 (unpublished).
18. Hotaling, N., Burks Fasse, B., Bost, L., Hermann, C. & Forest, C., A Quantitative Anlysis of
the Effects of a Multidisciplinary Engineering Capstone Design Course. Journal of
Engineering Education 101 (4), 630-656 (2012).
19. Gorrell, S. et al., Aerospace Partners for the Advancement of Collaborative Engineering,
presented at ASEE Annual Conference & Exposition, Indianapolis, IN, 2014.
Page 26.646.11
20. Camarda, C., de Weck, O. & Do, S., Innovative Conceptual Engineering Design (ICED):
Creativity, and Innovation in a CDIO Like Curriculum. Proceedings of the 9th International
CDIO Conference (2013).
21. Todd, H., Magleby, S. P., Sorensen, C. D., Swan, B. R. & Anthony, D. K., A Survey of
Capstone Engineering Courses. Journal of Engineering Education, 165-174 (1995).
22. Camarda, C., Failure is Not an Option. It's a Requirement, presented at 50th
AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference,
Palm Springs, CA, 2009.
23. Cannon, L., Zender, F., Stone, B., Innouye, A. & Cunningham, C., Looking back: A Student
Review and History of AerosPACE – a Multi-University, Multi-Disciplinary, Distributed,
Industry-University Capstone Project , presented at ASEE Annual Forum, Seattle, WA,
2015.
24. Zender, F. et al., Aerospace Partners for the Advancement of Collaborative Engineering
(AerosPACE) - Connecting Industry and Academia through a Novel Capstone Course,
presented at International Conference for e-Learning in the Workplace, New York, NY,
2014.
25. Zender, F. et al., Wing Design as a Symphony of Geographically Dispersed, Multi-
disciplinary, Undergraduate Students, presented at 54th AIAA/ASME/ASCE/AHS/ASC
Structures, Structural Dynamics, and Materials Conference, Boston, MA, 2013 .
Page 26.646.12
Appendix A: ABET Accreditation Criterion 3 Alignment
ABET Criterion Application in Program Measurement
(a) an ability to apply
knowledge of mathematics,
science, and engineering
Students are required to solve
real life multi-disciplinary
engineering challenges. Team
members represent various
educational backgrounds, the
collaboration resulting in
increased transfer of
knowledge and enhanced
understanding across
domains.
Formative assessments during
lecture and lab, summative
pre and post assessments
aligned to learning objectives,
and project reporting
requirements are an integral
part of these collaborative
projects.
(b) an ability to design and
conduct experiments, as well
as to analyze and interpret
data
Students are required to build
multiple prototypes and
validate design assumptions
by means of component and
systems testing. Final
reporting must include
analysis of captured flight test
data. Students at various
points have to present test
plans, experimental design,
and results before approval to
proceed is granted. Students
conduct aerodynamic,
electrical, propulsion, and
flight tests among others as
required by vehicle design.
Test plans, experimental
design, and analysis have to
be documented and are
presented to both faculty and
industry advisory board.
Feedback is provided
informally from team coaches
as well as formally after
reviews. A final report is
required which shows final
flight test data as well as prior
testing to arrive at the final
design.
(c) an ability to design a
system, component, or
process to meet desired needs
within realistic constraints
such as economic,
environmental, social,
political, ethical, health and
safety, manufacturability, and
sustainability
Students are engaged in real
life design challenge, e.g.
designing a vehicle to assist
first responders. Students
have to design and build a
systems, while facing
budgetary constraints,
regulatory challenges, ethical
concerns (e.g., delivering a
defibrillator to non-
paramedics), and
manufacturing concerns (they
have to build what they
design).
Key performance indicators
(KPI’s) are established for
various constraints as part of
the evaluation portion of the
request for proposal (RFP).
Through the advisory board
students are consistently
informed of new challenges
discovered by expert in the
workplace.
(d) an ability to function on
multidisciplinary teams
Problem statements are
designed such that individuals
from a single discipline
would be unable to complete
Students are evaluated
through multiple surveys to
establish their motivation and
collaboration. Data is
Page 26.646.13
ABET Criterion Application in Program Measurement
it. Students are on teams that
are not only multidisciplinary
(multiple majors) but also
have team members from
various universities in
different time zones.
supplemented by clickstream
data from the learning
management system (LMS)
utilized for team discussions.
Faculty and industry coaches
assigned to work with teams
on a daily/weekly basis and
provide guidance and
informal evaluation of
collaboration.
(e) an ability to identify,
formulate, and solve
engineering problems
Design challenges are created
by engineers based on real
world problems, students are
responsible for fully defining
the problem and providing
possible solutions.
While the course is structured
around problem-based
learning and has an
overarching engineering
problem - sub-problems exist
for the various systems and
interfaces. Students are given
formative feedback during
weekly review sessions and
summative feedback
following design reviews.
(f) an understanding of
professional and ethical
responsibility
Students operate as a team
with professional
expectations regarding
planning and execution of
work statements. Students
interact with customers (e.g.,
first responders) to derive
design requirements.
Students submit weekly
timecards and project
schedules. Teams must report
on team organization and
collaboration as part of
formal reports. Student
surveys evaluate
responsibilities taken on by
each student.
(g) an ability to communicate
effectively
Students collaborate with
team members and faculty
from multiple schools as well
as industry coaches. Effective
communication is paramount
to success and thus
emphasized in various
lectures.
Clickstream data from the
LMS enables mining of
communication and allows
for analysis by means of
network graphs of student
communication. Contextual
recognition is utilized to
evaluate the topics of
communication. Students are
separately surveyed
particularly on
communication with their
team members.
(h) the broad education
necessary to understand the
Students experience the
impact of engineering directly
Student teams have to define
their own mission and report
Page 26.646.14
ABET Criterion Application in Program Measurement
impact of engineering
solutions in a global,
economic, environmental,
and societal context
as they are participating in
this project. They are
immersed in the context as
they are working with
customers and suppliers.
to faculty and advisory board
what they are designing their
vehicle for. This mission
definition directly highlights
the team’s view of the impact
of engineering.
(i) a recognition of the need
for, and an ability to engage
in life-long learning
Students are provided with
formal learning opportunities,
but are also provided with
additional resources (e.g.,
EdX course on composites, or
reference documents). Life-
long learning is exemplified
by faculty and coaches who
everyday learn something
new from the students or their
colleagues and make a
particular effort to highlight
such learning to the students.
Clickstream data captured as
part of the LMS allows the
evaluation of resources by
each individual student. In
combination with survey
responses, this data can
inform a model on the level
of effort to engage in learning
outside the required by the
students, which likely is an
indicator for life-long
learning.
(j) a knowledge of
contemporary issues
Students monitor publications
on issues related to their
project and share with their
team and course members as
appropriate. Additionally
faculty and advisory board
members provide feedback.
Unobtrusive mining of the
LMS allows for the analysis
of contemporary issues
shared amongst students.
Similarly feedback brought
by faculty or advisory board
members is captured and
student responses are
required.
(k) an ability to use the
techniques, skills, and
modern engineering tools
necessary for engineering
practice
Students use a variety of
engineering processes and
tools. Students are instructed
by faculty and industry
representatives on the tools
and processes most applicable
to their project.
Student skills are assessed via
pre/post assessments for some
tools, or via informal
assessments as part of labs.
Outputs of the engineering
practices are reviewed during
the design reviews.
Page 26.646.15
Appendix B: ASEE KSA Alignment
KSA Application in Program Measurement
Good communication skills See g) above See g) above
Physical sciences and
engineering science
fundamentals
See a) above See a) above
Ability to identify, formulate,
and solve engineering
problems
See e) above See e) above
Systems integration Students have to design a
system that consists of
various sub-systems that need
to be integrated (e.g.
electrical, propulsion) but in
itself is part of systems of
systems (e.g. national air
space)
Students self-assign into
Integrated Product Teams
(IPT’s) and have to manage
their interfaces and
integration. Unobtrusive
mining allows an evaluation
of how interfaces were
managed during the design
process while design reviews
allow for an analysis of the
success of the integration
which is ultimately visible in
a flying vehicle.
Curiosity and persistent
desire for continuous learning
Students are presented with
an open-ended design
challenge, where they have to
be curious to properly define
their mission alongside their
customers. Solving the
various challenges associated
with the design of a vehicle
calls for various formal and
informal learning activities,
not all part of the formal
curriculum.
Curiosity of the students is
evaluated by means of
student surveys, their desire
for continuous learning can
be observed via the
clickstream data which makes
visible the informal resources
accessed by the students.
Self-drive and motivation Students operate as self-
contained teams with team
members required to
complete tasks assigned to
them on a tight schedule,
motivation is paramount to
success.
Student surveys evaluate each
individual student’s
motivation throughout the
project. In addition an
integrated computing
environment combined with a
self-reported hours log
enables a more thorough
analysis of the motivation and
its translation into work.
Cultural awareness in the
broad sense (nationality,
Teams are distributed, student
diversity is vast within and
Faculty and industry coaches
observe and guide team
Page 26.646.16
KSA Application in Program Measurement
ethnicity, linguistic, gender,
sexual orientation)
across the various
universities. Successful teams
take advantage of their
unique characteristics to
further the team’s success.
interactions where necessary
to further project goals.
Longitudinal student surveys
observe attitudes and changes
therein.
Economics and business
acumen
Teams define their own
mission and thus their own
business strategy. Teams are
provided a budget and must
manage logistics, purchases,
and travel.
Budgets are checked at every
design review. The business
case is evaluated as part of
initial mission definition and
continuously monitored.
High ethical standards,
integrity, and global, social,
intellectual, and technological
responsibility
Students are held to the
highest ethical standards and
are advised by faculty and
advisory board members on
concerns regarding their
project and integration into a
larger system of systems.
Design reviews evaluate the
global, social, intellectual,
and technological impact. As
required, feedback is
provided to students and their
progress towards is tracked.
Critical thinking Students have to solve an
open ended engineering
challenge that require them to
critically think about their
customer and a design to
meet the needs.
Critical thinking is evaluated
by analyzing the checklists
students create for design,
tests, and flights. Critical
thinking is required to
properly create these.
Willingness to take calculated
risk
Students have to take a
variety of calculated risk to
design their airplane. In
addition students are given
instructions by industry on
risk, issues, and opportunities
(RIO).
Each design reviews includes
an analysis of the systems
engineering processes utilized
and risks are established and
(re)evaluated at each stage.
Ability to prioritize
efficiently
Students receive credit for
this course and are typically
involved in other classes as
well. Students have to
prioritize the work within
their team and for themselves
in order to succeed.
Mentoring is available to all
students.
Prioritization of tasks is
evaluated on a weekly basis
by faculty and industry
coaches. Team meetings with
individual report outs provide
an opportunity to work with
each student.
Project management
(supervising, planning,
scheduling, budgeting, etc.)
Students have to manage the
team budget, including all
raw material and testing costs
as well as required orders.
Students are developing their
Students submit updated
budgets at each design
review, faculty may review
them as needed. Faculty
approves all purchases.
Page 26.646.17
KSA Application in Program Measurement
own project plan, lectures on
project management are given
by industry.
Students submit updated
project plans weekly for
review.
Teamwork skills and ability
to function on
multidisciplinary teams
See d) above
Entrepreneurship and
intrapreneurship
Students are given
opportunities to work directly
with customers and need to
develop a business plan to
justify their design choice.
The mission definition review
includes an analysis of the
business case. The design is
continuously monitored
against the original proposal.
Page 26.646.18