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Interdisciplinary environmental education: elements of field
identity and curriculum design
Shirley Vincent &Will Focht
Published online: 26 March 2011
#AESS 2011
Abstract Interdisciplinary environmental degree programs
(environmental studies/science(s) and similar programs) in
higher education in the U.S.A. are both diverse and
dynamic in their curriculum designs. Though these charac-
teristics afford flexibility and adaptability, they are also
seen as weaknesses that can undermine programs’perceived
legitimacy both within and beyond their host institutions.
The lack of a clear identity, definition of core competencies,
and prescriptions for interdisciplinary pedagogy can create
confusion among program stakeholders and skepticism
among institutional administrators. To learn more about
how interdisciplinary environmental curricula vary across
the U.S.A., a national survey was conducted of program
administrators to investigate their programs and identify
their views of what an ideal curriculum would entail. The
study demonstrates that consensus exists on field identity: an
applied, interdisciplinary focus on the interface of coupled
human-natural systems with a normative commitment to
sustainability. The study also reveals that three ideal
curricular models are espoused by these administrators:
Systems Science,Policy and Governance, and Adaptive
Management. Program attributes related to these models are
also reported. We conclude the article with a brief
description of how the three models are related to
developing an interdisciplinary environmental workforce,
describe the potential next steps for extending the study,
and express our optimism that a consensus can be forged on
core competencies guidelines and model-specific recom-
mendations for curricular content related to three broad
knowledge areas and two skill sets.
Keywords Interdisciplinary environmental education .
Sustainability education .Environmental studies and
science core competencies .Environmental studies and
science field identity .Environmental studies and science
curricula
In 2003, the National Science Foundation Advisory
Committee for Environmental Research and Education
(NSF AC-ERE, established in 2000) released a 10-year-
outlook report for the National Science Foundation titled
Complex Environmental Systems: Synthesis for Earth, Life
and Society in the 21st Century. The report highlighted the
interdependence of ecological health and human well-being
and the complex environmental challenges posed by an
expanding human global footprint.
Because of the complex relationships among people,
ecosystems, and the biosphere, human health and
well-being are closely linked to the integrity of local,
regional, and global ecosystems. Therefore, environ-
mental research and education are central elements of
local, national, and global security, health, and
prosperity. (Pfirman and the AC-ERE 2003:1).
The report stressed the importance of developing
innovative interdisciplinary environmental (IE) research
and educational approaches to train scientists, policymakers,
and professionals in environmental synthesis—the merging
of approaches and data across spatial, temporal, and societal
scales to address multifaceted environmental issues.
Subsequent AC-ERE reports—Complex Environmental
Systems: Pathways to the Future (NSF AC-ERE 2005) and
Transitions and Tipping Points in Complex Environmental
S. Vincent (*)
National Council for Science and the Environment,
Washington, DC, USA
e-mail: svincent@ncseonline.org
W. Focht
Oklahoma State University,
Stillwater, OK, USA
J Environ Stud Sci (2011) 1:14–35
DOI 10.1007/s13412-011-0007-2
Systems (NSF AC-ERE 2009)—continue to underscore the
urgency of the need to transform environmental higher
education and research. The 2009 report urges a shift toward
societal needs-driven education and research that focuses on
interdisciplinary approaches to understanding the complex,
adaptive interaction of social and natural systems.
Concurrently with the NSF AC-ERE's call for the
development and support of new interdisciplinary
approaches to environmental education and research,
student demand for IE education is also growing rapidly,
reaching new heights in 2009–10. The escalating interest in
environmental degree programs has been widely reported
by the media including articles in the Newsweek-Kaplan
College Guide, the Princeton Review, the New York Times,
and USA Today.
The growth in enrollment has been dramatic. The
University of Michigan's Program in the Environment was
initiated in 2003 with 35 students and today has over 500
students. The University of California at Los Angeles
launched its Environmental Science program in 2006 with
ten students and 3 years later has 221 majors. Salisbury
University founded its Environmental Studies program in
2004 and today has 93 majors. This level of growth is not
unique to these three programs; the majority of IE programs
are experiencing expanding enrollments.
A survey of 260 IE programs conducted by us in 2008
found that two thirds reported a growth trend from 2003 to
2008. In addition, many programs that reported their
enrollments as steady during that period experienced a
surge in student interest in the semesters following the
survey. For example, Antioch University New England
reports that applications for their Master of Science programs
in Environmental Studies and Resource Management
and Conservation are up 42% from 2009. Similarly, the
University of Vermont reports that between 2008 and
2010 the number of environmental science and environ-
mental studies majors grew 37% from 495 to 679, and
the number of degrees awarded rose 48% from 98 to an
estimated 145.
Responding to this burgeoning student demand, univer-
sities and colleges have been initiating new IE degree
programs. The 2008 survey revealed that two thirds of
existing IE programs were created after 1991, and almost a
quarter since 2000. The pace of the creation of new IE
programs is remarkable. A 2009 study by the National
Wildlife Federation—the State of the Campus Environment
report (McIntosh et al. 2009)—found that the proportion of
colleges and universities offering baccalaureate and gradu-
ate IE degrees jumped to 44% from the 40% identified by a
2008 census conducted by CEDD/NSCE (Vincent 2010a).
In a recent 6-month period (May–September 2010), 13 new
IE programs—six masters and seven baccalaureate pro-
grams—were announced.
Job opportunities for the graduates of IE programs are
also rising rapidly. The United States Department of Labor
(2010) predicts a 28% increase in the number of environ-
mental scientist and specialist positions between 2008 and
2018, a growth rate much higher than most occupations. In
2008, environmental scientists and specialists held 85,900
jobs; an additional 6,200 jobs were held by environmental
faculty. About 37% of environmental scientists and special-
ists are employed in state and local governments; 21% in
management, scientific, and technical consulting services;
15% in architectural, engineering, and related services; and
7% in the Federal Government, primarily in the Environ-
mental Protection Agency and the Department of Defense.
Job growth is expected to be strongest in private sector
consulting firms, but job prospects are also especially
favorable for environmental health positions in state and
local governments. Other emerging opportunities for IE
program graduates include environmental jobs in public
administration (environmental planning, urban develop-
ment), sustainability (private and public sector sustainabil-
ity management, sustainable community development,
international sustainable development), environmental man-
agement (private and public sector environmental manage-
ment systems, water management, energy management,
greenhouse gas accounting and management, materials and
waste management) and natural resources management
(watershed systems, ecosystems, costal and marine systems,
land use planning).
Environmental protection expertise and sustainability
knowledge are increasingly applicable across a wide
spectrum of jobs, creating demand for IE degree programs
as well as minors, certificates, and professional continuing
education programs. The 2008 Jobs and Environment
Initiative study identified the size of the environmental
protection industry as $394 billion/year and estimated the
industry was responsible for the creation of 5.3 million jobs
in 2005 distributed across all employment sectors (Bezdek
et al. 2008).
The Council of Environmental Deans and Directors
(CEDD), an association of academic environmental
program leaders, was established in 2000. The National
Council for Science and the Environment (NCSE), a
non-profit organization dedicated to improving the
scientific basis of environmental decision making, serves
as the secretariat for the association. The primary goal
of the CEDD is to improve the quality, stature, and
effectiveness of academic environmental programs at
colleges and universities (see www.ncseonline.org for
more information).
One of the key initiatives of the CEDD is to conduct
research on IE programs to inform and facilitate
discussions on curriculum design, field identity, and
essential knowledge and skills for program graduates.
J Environ Stud Sci (2011) 1:14–35 15
IE study is a virtually unbounded field, as exhibited in
the wide variety of IE degree-granting programs. Shaped
by the traditions, missions, and cultures of their host
institutions as well as their participating faculty and other
stakeholders, extensive variability is found in their
education goals, curricular content, and locations within
institutional hierarchies. Moreover, environmental pro-
grams, perhaps more than any other area in higher
education, are constantly evolving to address emerging
issues and prepare graduates for new careers. New
programs are being established and existing programs
change in response to shifting political and social
environments, funding opportunities, and advances in
technology and knowledge.
A 2008 census of IE degree programs conducted by the
CEDD/NCSE identified 840 programs offering 1,183
baccalaureate and graduate degrees located at 652 colleges
and universities (Vincent 2010a). IE programs are offered
in all 50 states, as well as Guam and Puerto Rico. A large
proportion of IE degree programs, 44%, are named
environmental science(s). Another 25% are named envi-
ronmental studies. Degrees in environmental studies are
awarded primarily at the baccalaureate level; only 3% of IE
masters degrees and 1% of doctoral degrees are named
environmental studies. The remaining 31% of IE degree
program names and focus areas vary widely, and include:
Urban and Environmental Policy (Tufts University), Envi-
ronmental Systems and Society (University of California at
Los Angeles), Environmental Dynamics (University of
Arkansas), Earth Systems Science and Policy (California
State University at Monterey Bay), Watershed Science
(Utah State University), and Natural Resources and
Decision Making (Purdue University). Many institutions
have more than one IE program and/or offer more than one
type of IE degree. For example, the Department of
Environmental Science at Barnard College offers under-
graduate degrees in Environmental Science and Environ-
mental Policy, and Cornell University has three different IE
programs offering degrees in Biology and Society, Natural
Resources, and Science of Natural and Environmental
Systems.
Flexibility is a key attribute of IE degree programs. Most
IE programs offer an array of specialization options that
reflect the expertise of their faculty and the mission and
geographical locations of their institutions. For example,
California State University at Monterey Bay offers under-
graduate degrees in Earth Systems Science and Policy with
five specializations: Environmental Policy, Marine and
Coastal Ecology, Watershed Systems, Science and Social
Justice or Science Education. Many programs also allow
students to design their own concentrations to match their
specific goals and interests. The Environmental Study
programs at the Evergreen State College and the Program
in the Environment at the University of Michigan are two
examples.
This flexibility and diversity represent both opportunities
and challenges. Opportunities because program leaders can
draw upon core strengths at each institution to develop IE
programs that prepare graduates to address a multitude of
environmental issues using a variety of approaches.
Challenges because employers, students, and other impor-
tant constituencies may not understand the competency
gained by the graduates of IE programs and program
leaders have to decide how to structure their programs in
the face of rapid change and diverse approaches. The lack
of consensus on IE field identity, core curriculum, and
interdisciplinary pedagogy fuels criticism that IE programs
lack rigor, sustains vigorous debate on program assessment,
and contributes to confusion about the competence of
graduates and the role of IE programs in higher education
and society.
In response to these concerns, and given the lack of
empirical studies on IE program curriculum design, the
CEDD/NCSE launched the first comprehensive study of IE
programs in the United States. The purposes of the study
were to enhance understanding of IE programs and explore
the potential for reaching consensus on IE field identity and
core competencies to help guide curriculum design and
facilitate recognition of the field.
Competence in higher education is often defined as
achieving specified learning outcomes that include theoret-
ical and practical understanding, cognitive abilities, and
techniques relevant to a specific field of study. Defining
learning goals are a required prerequisite for designing
curricular content and structure and determining pedagog-
ical methods for implementing effective educational pro-
grams. Learning outcomes can also be expressed in terms
of core competencies. Defining core competency criteria
for IE programs serves several purposes: (1) provides a
guide for curriculum development and, in a broader
sense, for the overall development of the IE field of
study; (2) promotes recognition of the IE field and the
expertise and qualifications of its graduates; (3) facili-
tates cooperation and communication among faculty from
a wide range of disciplines (an important component for
IE programs that often draw upon expertise across
campuses); and (4) forms a potential basis for IE
program assessment, professional licensure, and perhaps
degree program certification/accreditation.
In the context of this study, competency is defined as the
knowledge and skills students should learn—what con-
cepts, problem-solving strategies and abilities they should
acquire in their course of study. It does not include personal
and social competencies which may also be considered
important educational goals for IE programs. Our concept
of competence is not narrowly defined vocational training
16 J Environ Stud Sci (2011) 1:14–35
or skills acquisition, but rather the development of holistic
understanding and abilities that are flexible and adaptable
and that foster reflexive life-long learning. A competence
approach for IE education must prepare students to
creatively address problems in different contexts, continu-
ously reflect upon their own perspectives and practices, and
adapt to rapidly changing contemporary societies where
narrowly defined traditional competencies may quickly
become obsolete.
This article presents the key findings from the CEDD/
NCSE study. These include agreement among program
leaders on key characteristics that form the identity of the
field of IE education, common curricular elements that
form a framework for understanding IE program curriculum
design, and three distinct but complementary broad ideal
approaches to IE education. The study was conducted in
two phases; the findings of the first phase have been
previously published (Vincent and Focht 2009; Vincent and
Focht 2010) and are only briefly reviewed in this article.
The remainder of the article focuses on key findings from
the second phase of the study which analyzed data from a
comprehensive national survey of IE programs.
Research design
The CEDD/NCSE IE programs study addressed four broad
research questions designed to inform and facilitate
discussion on IE program field identity and essential
knowledge and skills:
1. What are the perspectives among IE program leaders
regarding curriculum design? What do they have in
common and how do they differ? (phase I)
2. What dimensions underlie the inclusion of various
knowledge and skill areas in IE program curricula?
How are these areas related and how may they be
combined into interdisciplinary knowledge and skills
areas? (phase II)
3. What types of ideal models of IE program curricula
exist? What are the characteristics of each model?
(phase II)
4. How are administrative and degree program attributes
related to ideal curriculum types? What do these
relationships indicate concerning program structure
and evolution? (phase II)
Phase I—perspectives on interdisciplinary environmental
program curricula
The first phase of the curriculum study sought to answer the
first research question about the number of perspectives on
environmental program curriculum design that program
administrators hold, how the perspectives differ, and what
they have in common. This phase of the study was
conducted in 2003 with 61 volunteer participants from the
CEDD membership who identified themselves as admin-
istrators of IE programs.
The study used Q methodology to discern the various
perspectives regarding environmental program curriculum
design held by the administrators. Q methodology is widely
used as a research tool for empirically determining the
perspectives of participants in a variety of policy develop-
ment and decision-making processes. It can be used to
identify various viewpoints and perceptions about a
particular situation, provide insight into the attributes of
each perspective, explicitly outline areas of consensus and
conflict, and assist in developing a common view.
See Vincent and Focht (2009) and Vincent (2010b) for
details on the methodology used in this phase of the study.
Phase II—national survey of interdisciplinary
environmental programs
The second phase of the curriculum study was designed to
answer the remaining three research questions: (1) the
identity of the dimensions that underlie the inclusion of
knowledge and skill areas in IE program curricula, (2) the
number and characteristics of ideal curricular models for IE
education; and (3) how administrative and degree program
attributes may be related to the ideal curriculum types and
what these relationships indicate concerning program
structure and evolution. This phase of the study was based
on a 2008 comprehensive survey that elicited responses
from a nationally representative sample of IE program
administrators representing 260 programs awarding 343 IE
degrees.
Program administrators were targeted because not only
were they expected to be most familiar with their
programs but also because fewer than half of these
programs have their own appointed faculty. The web-
based questionnaire included four broad groups of
questions: institution information, program administrator
information, administrative program information, and
degree program information.
Survey population The survey was limited to U.S. bacca-
laureate and graduate IE degree-granting programs that focus
on human and natural systems from a broad interdisciplinary
perspective. This population included all degree programs
named environmental science(s) or environmental studies as
well as degree programs with other names such as
sustainability, environmental policy, environmental manage-
ment, and natural resources management. Programs that offer
only associate degrees, minors/certificates, and degrees in
allied or professional fields were not included. Excluded
J Environ Stud Sci (2011) 1:14–35 17
programs include professional programs such as environ-
mental engineering, environmental law, and environmental
health and safety, and discipline-oriented programs in allied
fields such as environmental chemistry, environmental
geology, conservation biology, sustainable agriculture, for-
estry management, environmental economics, and environ-
mental statistics. Altogether, 840 IE programs at 652
institutions awarding 1,183 degrees were identified that met
the selection criteria.
Survey response Completed survey responses were re-
ceived from administrators of 260 of the 840 programs
identified (including information on 343 degrees)—a re-
sponse rate of 31%. This sample was sufficient to measure
correlations between attributes with a power of 0.90 to detect
a 0.20 effect size at α=0.05 (a low-moderate effect);
statistical frequencies have a margin of error of ±5%.
The representativeness of the sample was assessed by
comparing four defining program attributes between the
sample and target population at α=0.05: institution basic
Carnegie class, institution control (public or private-not-for-
profit), institution location (U.S. census division), and
degree types (name/degree level). No significant differences
were found between the sample and population concerning
institutional control type or census region. Similarly, no
significant differences in institutional basic Carnegie clas-
ses were found, with the single exception of an over-
representation of doctoral institutions with very high
research activity (these institutions are much more likely
to have IE programs than other institutional types). With
respect to degree types, no significant differences were
found except for an under-representation of graduate
environmental science(s) degree programs and over-
representation of environmental studies masters-level de-
gree programs. We conclude from these results that our
sample is sufficiently representative of the population to
justify the generalization of our findings to IE programs
nationwide.
Analytic methodology
Several statistical methods were employed to analyze the
survey results. First, answers to all questions were screened
and coded for statistical analysis (responses to open-ended
questions were coded according to emergent themes) and
descriptive statistics calculated using measures appropriate
for each question's data. Subsequently three types of
statistical analyses were conducted to address the three
research questions: (1) exploratory factor analysis to
determine the dimensions of knowledge and skills in ideal
IE program curricula, (2) cluster analysis to determine the
number and characteristics of ideal IE curriculum models,
and (3) analyses of variance to determine relationships
between IE program attributes and the ideal curriculum
models.
Exploratory factor analysis Factor analysis reduces a
number of interrelated variables to a smaller number of
dimensions or factors, each representing a common entity
or construct, thus revealing how responses are related and
enhancing understanding of relationships between varia-
bles. The data subjected to factor analysis was IE program
administrators' judgments of the importance of 16 knowl-
edge areas and 23 skills in an ideal curriculum for each
degree their program offered (using a four-point Likert
scale—minimal, low, moderate, high). The knowledge and
skills variables includedwerevettedbyIEprogram
administrators prior to the survey and a total of 304
knowledge sets and 308 skills sets were obtained for
analysis. Maximum likelihood factor extraction was chosen
because it includes a statistical goodness-of-fit test and
allows generalizations from an unbiased sample to a
population of subjects. In this case, the factors reveal how
various areas of knowledge and skills are combined into
interdisciplinary components and the factor models how
these components are related to each other in idealized IE
program curricula. Thus, the factors represent broad
interdisciplinary core competency areas and the factor
models’structure provides understanding of how these
components are generally related in an ideal IE curriculum
structure.
Five criteria can be considered when determining the
number of factors to retain for interpretation. All five
criteria were evaluated; the popular Kaiser criterion was
selected, which recommends retaining all factors with
eigenvalues≥1. The meaning of each factor is interpreted
using factor loadings. A factor loading is the Pearson
correlation coefficient of the original variables (in this
study, the importance ratings of knowledge and skill areas)
with a factor. Factor loadings indicate an association of the
variable with a factor and ranges from 1 (perfect positive
association) to −1 (perfect negative association). In social
science research, 0.32 is cited as a conservative value for
the minimum loading of a variable on a factor because it
equates to approximately 10% overlapping variance. This
value was used as the critical value for this study. The
relative importance of each variable for explaining a factor
is indicated by the magnitude of the squares of the factor
loadings.
Factor rotation is used to simplify data structures by
rotating factor axes so that the variables are loaded
maximally on only one factor (minimizes unexplained
variance). Orthogonal rotation maintains factor indepen-
dence while oblique rotation allows factors to correlate.
Oblique rotation should be used if factors are believed to be
18 J Environ Stud Sci (2011) 1:14–35
related. Since it was suspected that some factors would be
related, an oblique (Promax) rotation method was chosen.
Cluster analysis Cluster analysis is used to combine or
classify objects into groups that exhibit high internal
(within cluster) homogeneity and high external (between-
cluster) heterogeneity. Cluster analysis was used to identify
groups of program administrators who rated the importance
of the knowledge and skills variables similarly, thus
representing different ideal educational approaches/curricu-
lum models for IE programs. The analysis was conducted
on principal component scores using the SPSS two-step
clustering method. Principle component scores were ana-
lyzed instead of the original 39 importance ratings because
in cluster analysis multicollinearity results in a weighting
process that affects the analysis; multicollinear variables are
implicitly weighted more heavily. Since several of the
importance-rated variables exhibited multicollinearity, prin-
cipal components analysis was used to group related
variables prior to clustering. Reducing the original impor-
tance rating variables into sets of knowledge and skill
components eliminated multicollinearity while retaining all
variables and their variances in the analysis.
Analysis of variance Finally, two types of analysis of
variance tests (α<0.05) were used to explore relationships
among ideal curriculum types, knowledge and skill factors,
and other program and degree attributes: one-way analysis
of variance (ANOVA) for scale variables and Kruskal–
Wallis one-way analysis of variance by ranks (KWANOVA)
for ordinal and categorical variables.
Review of the research findings from phase I—IE field
identity
The first phase of the curriculum study identified three
characteristics of the identity of IE programs (Vincent and
Focht 2009; Vincent and Focht 2010; Vincent 2010b).
These characteristics include what IE programs study, the
unique role of IE programs—why these programs are
important and the distinctive role they fill in the higher
education landscape—and how they accomplish their
educational goals.
Focus of study The first characteristic addresses the
question of “what does the IE field study?”Not surpris-
ingly, we found that leaders of IE programs in higher
education identify the human-nature interfaces (coupled
human and natural systems) as their focus. They recognize
that study of these systems requires that program curricula
include concepts from the natural sciences, social sciences,
applied sciences, and the humanities. Students should be
expected to gain an appreciation of the sociopolitical and
natural aspects of environmental problems, the limits of
technology and science, and the importance of acknowl-
edging and reporting uncertainty.
Role in higher education and society The second charac-
teristic addresses the question “whyisthisareaofstudy
important?”IE program leaders believe that balanced,
resilient systems that lie at the natural-human systems
interfaces are essential to human and ecological well-being.
It is therefore important to sustain the health of these systems
if we are to continue to improve quality of life for all and
preserve natural resources. This rationale aligns closely with
characteristics of sustainability-oriented environmental re-
search and practice as described in sustainability literature
and U.S. government documents pertaining to environmental
education and research (U.S. Environmental Protection
Agency 2007; Pfirman and the AC-ERE 2003; National
Science Foundation AC-ERE 2005,2009). In addition, our
discussions at several workshops held at environmental
science and studies conferences reveal that IE programs
share a normative commitment to sustainability and that the
goal of degree programs is to prepare students to be
sustainability-oriented scientists, leaders, problem solvers,
and decision makers (Vincent and Focht 2010).
Sustainability in this context is interpreted modestly
as a resilient, sustainable relationship between actions
taken to improve the human condition and the natural
environment. We do not attempt to define sustainability
in the context of IE education since we believe that
students should be aware of the various ways in which
sustainability is understood.
The results from the survey of IE programs conducted
during the second phase of the study confirm the centrality of
the concepts of sustainability for IE education. The importance
of sustainability knowledge in program curricula has a mean
rating of “moderate to high importance”across all IE degree
program types and levels, and the large majority of programs
rate its importance in their degree curricula as either moderate
or high (86% of undergraduate programs and 88% of graduate
programs). In addition, almost all IE degree programs already
include sustainability in their curricula in coursework and
experiential learning opportunities; over half require course-
work in sustainability (Vincent and Focht 2010).
The results of the 2008 survey also revealed that a third
of IE programs considered sustainability as the core guiding
principle in their curriculum design. For example, the
primary objective of the Environmental Dynamics program
at Arkansas State University is to “aid development of
strategies for sustainable societies based on results of
scientific research and respect for human cultures.”
This trend is increasing. Since the completion of the
survey, more IE programs have adopted sustainability as a
J Environ Stud Sci (2011) 1:14–35 19
core principle. For example, the new mission, vision, and
values statement for the Department of Environmental
Studies at Antioch University New England includes: “We
train effective local, national, and international environ-
mental leaders working to create a sustainable society that
embodies respect and care for the community of life,
ecological integrity, social and economic justice, democra-
cy, nonviolence, and peace.”
Notably, the survey also discovered that growth in IE
program enrollment is positively and significantly associat-
ed sustainability inclusion in program curricula (α< 0.05).
A positive 5-year enrollment trend (2003–2008) for
programs is associated with inclusion of sustainability in
the curriculum via coursework, as a core guiding principle,
and through experiential research and applied/service
learning opportunities.
Educational approach and perspectives on purpose The
third characteristic addresses the question of “how should
the study of coupled human-natural systems best be
accomplished?”Substantial agreement exists among IE
program leaders that a cross-disciplinary approach that
synthesizes insights and fosters systems thinking to obtain a
more holistic understanding of these interfaces is essential.
We did find, however, differences in how IE program
leaders prefer to approach this integration in terms of
educating program graduates (Vincent and Focht 2009).
&Some leaders believe that competence is best achieved
through a firm grounding in a natural science discipline
that is augmented by exposure to other, related disci-
plines. Their focus is on training environmental scientific
and technological experts who can utilize disciplinary
tools to devise practical solutions for environmental
problems. They support an interdisciplinary approach to
the extent that graduates are able to participate effectively
as part of an interdisciplinary team and communicate
with policymakers and the public, but assert that
disciplinary depth should be a requirement for environ-
mental programs and that scientific expertise is most
important. They favor strictly defined and universal core
competencies for IE programs.
&Other leaders advocate an informed environmental
citizenship foundation anchored in the liberal arts. They
assign priority to producing knowledgeable and
advocacy-oriented environmental citizens regardless of
the career they choose. Curricular breadth and flexible
core competencies are favored, with an emphasis on the
social and political aspects of environmental change.
&Still others prefer a systems-focused integration of
disciplines with a commitment toward to professional
career preparation and heavy emphasis on systems
thinking and disciplinary integration aimed at solving
complex environmental problems. This perspective
strongly favors disciplinary breadth, with flexible and
dynamic core competencies.
Taken together, the results of the first phase suggest to us
that a potential exists for forging consensus on program
focus: sustainability-oriented scholarship, research, and
practice through interdisciplinary problem solving.
Research findings from phase II—dimensions of IE
knowledge and skills
The first research question addressed in phase II of the
study concerns the dimensions that underlie the inclusion of
knowledge areas and skills in IE program curricula, and
how these dimensions could define interdisciplinary core
competency areas. Survey respondents were asked to rate
the importance of 16 knowledge and 23 skills variables in
an ideal curriculum for each of their program's degrees.
Exploratory factor analysis of these ratings revealed two
factor models: an IE knowledge factor model with five
interdisciplinary IE knowledge factors and an IE skills
factor model with five integrated IE skills factors.
The validity of each factor model structure was
established statistically using the maximum likelihood
goodness-of-fit test and by testing the reliability of each
factor using Cronbach's alpha reliability coefficient. The
model goodness-of-fit tests for both the knowledge factor
solution and the skills factor solution are highly significant
at p<0.001; all ten factors were shown to be reliable. The
knowledge factor solution explained 64% and the skills
factor solution 62% of the total variance in program
administrators' ratings.
The two factor models elucidate how knowledge and
skills are structured in ideal IE program curricula and
provide a framework to guide the development of courses
and curricula. IE programs combine and incorporate the ten
knowledge and skills factors into their courses and
curriculum designs in myriad ways, however, broad
similarities in how these components contribute to IE
degree curricula can be discerned by the knowledge and
skills factor model structures. These ten factors may be
considered general core competencies for all IE programs,
although the level of emphasis on the factors differs by
educational approach as discussed later in this article.
Interdisciplinary IE knowledge components The five inter-
disciplinary IE knowledge factors are: natural sciences,
natural resources, social sciences, humanities, and eco-
nomic development. Each of these factors represents an
amalgam of knowledge areas that significantly contribute to
the factor to variable extents. For example, the natural
20 J Environ Stud Sci (2011) 1:14–35
sciences knowledge factor includes concepts from three
areas—life sciences, physical sciences and ecology—with
the life sciences most influential, contributing approximate-
ly 60% of the content of this knowledge factor (Table 1).
Table 1illustrates the relationships between disciplinary
knowledge areas and the five interdisciplinary IE knowl-
edge factors. The center column lists the five interdisci-
plinary knowledge factors. The right column lists the
disciplinary areas that comprise the content of each
knowledge factor and the proportion each contributes to
the factor. The left column illustrates that the natural
resources,social sciences,andhumanities factors are
highly correlated with each other to create an interdisci-
plinary knowledge area labeled coupled human-nature
systems (Table 2). All 16 knowledge areas are significantly
correlated with at least one factor.
The knowledge factor model structure suggests that the
natural resources factor occupies a central position in IE
programs; all four of the other factors are significantly
correlated with this factor (Table 2). It also explains the
most variance (29%) in how program leaders rate the
importance of combined disciplinary knowledge concepts
to form interdisciplinary IE program components. The
social sciences and humanities factors are highly
correlated with natural resources and with each other,
forming an integrated knowledge area labeled coupled
human-nature systems. The natural sciences and economic
development factors are also moderately correlated with
natural resources, but not with each other or with the social
sciences or humanities factors (Fig. 1).
Analysis of the knowledge factor structure combined
with program administrator's comments from the study
indicates that: (1) the sustainable stewardship of natural
resources is the central focus for IE programs, (2)
understanding of the natural sciences is essential founda-
tional knowledge, (3) sustainable stewardship is realized
through knowledge of coupled human-nature systems, and
(4) the role of economic development—the business
practices and technologies that together comprise the built
environment and influence human behavior—provide
context for understanding coupled human-nature systems.
Given the sustainability-oriented focus of IE programs, it
is important to note that the sustainability knowledge
variable is significantly associated with the natural resources
knowledge factor and therefore, the coupled human-nature
systems knowledge area. This is another indication that
sustainable stewardship of natural resources through under-
standing of coupled human-nature systems forms the central
focus for all IE programs (Fig. 1).
IE integrated skills components The five integrated IE skills
factors are: cognition,technical research and analysis,
management,community engagement,andpublic communi-
cations. Each of these factors represents an amalgam of
related skills that significantly contribute to the factor to
variable extents. For example, the cognition skills factor
includes five cognitive skills—synthesis, problem solving,
analysis, creativity, and critical thinking—with synthesis and
problem solving most influential (Table 3).
Table 3illustrates the relationships between skills areas
and the five integrated IE skills factors. The center column
lists the five integrated skills factors. The right column lists
the skills that comprise the content of each skills factor and
the proportion each contributes to the factor. The left
column illustrates the two subsets of skills factors that are
highly correlated with each other to create the two
integrated skills areas: problem analysis and problem
solutions and management. Two skills variables, social
research, and literature research, are not significantly
correlated with any of the skills factors indicating their
rated importance was not directly related to other skills.
The skills factor model structure reveals that the skills
fall into two integrated sets—problem analysis and problem
solutions and management (Table 4). The cognition and
technical research and analysis skills factors are highly
correlated, forming an integrated skills area labeled prob-
lem analysis. Note that the management and public
communication skills components are also moderately
Table 1 Interdisciplinary IE knowledge components (ideal curricula)
Interdisciplinary
knowledge area
IE knowledge
factor
Disciplinary knowledge areas
(proportion of contribution to
knowledge factor)
Natural sciences Natural
sciences
Life sciences (60)
Physical sciences (27)
Ecology (13)
Coupled human-
nature systems
Natural
resources
Natural resources management
and agriculture (31)
Geography (20)
Sustainability (15)
Education (14)
Research methods (11)
Ecology (8)
Social
sciences
Policy and public
administration (42)
Economics (42)
Business (9)
Other social sciences (8)
Humanities History (48)
Literature and language
arts (31)
Philosophy and ethics (21)
Economic
development
Economic
development
Engineering and built
environment (73)
Business (27)
J Environ Stud Sci (2011) 1:14–35 21
correlated with technical research and analysis.The
cognition,management,community engagement, and pub-
lic communication skills factors are all highly correlated
with each other, forming a second integrated skills area
labeled problem solutions and management (Fig. 2).
Analysis of the skills factor structure combined with
program leader's comments from the study indicates that:
(1) problem analysis skills include technical and analytic
research skills, but also include a lesser emphasis on
management and public communication skills, (2) cognitive
skills, with their emphasis on systems thinking and problem
solving, are a key element for both the analysis of
environmental problems and the formulation of solutions,
and (3) devising solutions and implementing adaptive
management plans for addressing environmental problems
requires management skills and societal engagement (Fig. 2).
Research findings from phase II—ideal approaches/
curriculum models
The second research question addressed in Phase II
concerns the number and characteristics of ideal curricular
models for IE education. Cluster analysis conducted on
principal component scores derived from program admin-
istrators’ratings of the importance of the knowledge and
skill variables (for each degree) reveals three ideal
curriculum models. These are closely aligned with the
three perspectives on curriculum design discovered in the
first phase of the curriculum study, reinforcing the
existence of three approaches to curriculum design. The
three ideal curriculum models emphasize different knowl-
edge and skill areas to prepare graduates for three types of
sustainability-oriented scholarship, research, and practice:
Systems Science,Policy and Governance, and Adaptive
Management.
Because cluster analysis involves a subjective judgment
on an optimal cluster solution, it is important to validate the
solution. Four methods were used to insure the validity and
practical significance of the results. First, the sample was
randomly split into two groups and the results compared.
Second, two different clustering algorithms (SPSS two-step
method and Ward's method) were used and the results
compared. Third, descriptive discriminant analysis was
used to test the fidelity of cluster membership using the
original importance rating variables. The discriminant
analysis revealed 94% of the cases were correctly classified
and that two dimensions that separate the clusters; both are
highly significant predictors at p<0.001. Finally, analysis of
variance tests were conducted using program attribute
variables to demonstrate significant differences between
clusters. A number of significant differences in degree
program attributes between the clusters were evident.
The three approaches represent the views of groups of
program administrators that rate the ideal curricular
emphasis of the ten IE knowledge and skills areas in
similar ways. The labels for the model approaches are
based upon their characteristics. The most important
characteristics are the levels of importance placed on the
five IE interdisciplinary knowledge and five IE integrated
skills factors. Each of the approaches emphasizes the
factors differently from the other two approaches and from
the mean emphases for IE programs overall. Figures 3and
4illustrate how the mean importance ratings for each of the
three ideal approaches—Systems Science,Policy And
Governance, and Adaptive Management—differ from the
Table 2 Knowledge factor correlation matrix (ideal curricula)
Knowledge factor Natural resources Humanities Social sciences Natural sciences Economic development
Natural resources 1.000 0.521 0.545 0.275 0.303
Humanities 1.000 0.636 0.112 0.103
Social sciences 1.000 0.128 0.149
Natural sciences 1.000 −0.030
Economic development 1.000
Social Sciences
Factor 3
Economic
Development
Factor 5
Humanities
Factor 2
Natural Resources
Factor 1
Natural Sciences
Factor 4
Coupled Human-Nature Systems
Fig. 1 IE interdisciplinary knowledge model
22 J Environ Stud Sci (2011) 1:14–35
overall mean for all IE programs and from the other two
approaches (overall mean=0).
The three approaches are also characterized by features
of the degree programs associated with each. These include:
(1) the proportions of degree types (name and level), (2)
certain degree program requirements, (3) specific degree
program objectives, and (4) sustainability inclusion. The
characteristics of each of the three approaches are pre-
sented, followed by a framework that illustrates their
interrelationships. The framework for understanding the
model reveals that the three approaches are not opposed to
each other; instead they overlap considerably so that some
IE programs are situated on the boundaries of two or three
models (Fig. 8). In addition, many IE degree-granting
programs or higher education institutions offer degrees that
align with more than one approach.
The systems science approach The Systems Science ap-
proach stresses in-depth knowledge of the natural sciences
and technical research and analysis skills centered on
laboratory analyzes and fieldwork. It manifests an analytic,
diagnostic orientation that emphasizes problem analysis
using traditional scientific skills and expertise in the natural
sciences.
This model places highest emphasis on the natural
sciences knowledge component and the technical research
and analysis skills component and a lower emphasis than
the overall mean on all other factors (Fig. 5). The mean
factor score of this model is higher than the other two
models for the natural sciences factor; significantly so in
comparison to the Policy and Governance model. The
mean factor scores for this model are significantly lower in
comparison to both other models for the social sciences and
humanities knowledge factors, and for the management and
community engagement skill factors. This model also places
significantly lower emphasis on the economic development
factor in comparison to the Adaptive Management model
and significantly higher emphasis on the technical research
and analysis factor compared with the Policy and Gover-
nance model.
This model was the least popular (representing the ideal
for 22% of all IE degree programs) and the most distinctive,
exhibiting the most significant differences from the other
two models. Programs associated with this model are more
likely to be named environmental science(s) or have
another science-focused name such as Science of Natural
Table 3 Integrated IE skills components (ideal curricula)
Integrated skills
area
IE skills factor Skills areas (proportion
of contribution to skills
factor)
Problem analysis Cognition Synthesis (25)
Problem-solving (23)
Analysis (19)
Creativity (17)
Critical thinking (16)
Technical
research and
analysis
Field research (26)
Laboratory research (23)
Mathematics (15)
Statistics (13)
Spatial analysis (11)
Technical and academic
writing (8)
Oral communication (5)
Problem solutions
and management
Cognition (Same as above)
Management Personnel
management (36)
Project management (27)
Leadership (17)
Decision science (10)
Information
management (10)
Community
engagement
Community relations (54)
Advocacy and
outreach (35)
Leadership (11)
Public
communication
Creative and journalistic
writing (64)
Mass
communications (28)
Creativity (10)
Table 4 Skills factor correlation matrix (ideal curricula)
Skills factor Technical research
and analysis
Management Cognition Public communication Community engagement
Technical research
and analysis
1.000 0.323 0.540 0.294 0.209
Management 1.000 0.494 0.534 0.454
Cognition 1.000 0.509 0.417
Public communication 1.000 0.544
Community engagement 1.000
J Environ Stud Sci (2011) 1:14–35 23
and Environmental Systems (Cornell University) or Earth
System Science (University of Wyoming)—and with a
higher proportion of undergraduate programs (85% versus
68–70% for the other two models). Degree programs
associated with this model are also more likely to be
located within a non-IE department such as biology or earth
science (43% versus 27–28% for the other two models).
The objectives of the undergraduate degree programs
associated with this model are significantly more likely to
include preparing students for graduate and professional
school and less likely to include preparing students as
environmental leaders and change agents or to improve
environmental policy decisions. Graduate programs are
more likely to include the objective of preparing students
to be environmental academics. This model is also
significantly less likely than the other two models to
include sustainability in degree curricula as a core principle,
required coursework, optional coursework, research expe-
rience, or applied/service learning experiences.
The policy and governance approach The Policy and
Governance approach emphasizes the social sciences,
humanities, and public engagement skills. The orientation
for this model is societal and institutional change with a
focus on public awareness and an emphasis on policy and
governance processes. It includes programs reflecting the
liberal arts perspective as well as programs designed for the
professional preparation of students who plan careers in the
environmental policy, advocacy, and government arenas.
This model places significantly lower importance on the
natural sciences knowledge factor and the technical
research and analysis skills factor compared to the other
two models. It places the highest emphasis on the social
sciences knowledge component (significantly compared to
the Systems Science model) and the public communication
skills component (significantly compared to the Systems
Science model) and lower emphasis on the natural
resources knowledge factor (significantly compared to
Adaptive Management model; Fig. 6).
This model represents the ideal for 33% of all IE degree
programs. Degree programs associated with this model are
more likely to be named environmental studies or have a
policy-focused name such as Master of Public Affairs in
Energy and Environmental Policy (University of Wisconsin
Problem Solutions & Management
Problem Analysis
Management
Factor 3
Technical
Research and
Analysis
Factor 1
Cognition
Factor 2
Public
Communication
Factor 5
Community
Engagement
Factor 4
Fig. 2 IE interdisciplinary skills
model (ideal curricula)
Fig. 3 Knowledge component means by educational approach/model
24 J Environ Stud Sci (2011) 1:14–35
at Madison) or Science, Technology and Policy (University
of Minnesota at Twin Cities).
Graduate programs associated with this model are
significantly less likely to require a graduate thesis or
research project because they include more professional
degree programs. Undergraduate programs associated with
the Policy and Governance model are most likely to
include the objectives of preparing students to be environ-
mental leaders and change agents and to improve environ-
mental policy decisions; and all degree programs
(undergraduate and graduate) are most likely to include
sustainability in their curricula, although not significantly
more so than degree programs associated with the Adaptive
Management model.
The adaptive management approach The Adaptive Manage-
ment approach emphasizes coupled human-nature systems
knowledge and both problem analysis and problem sol-
utions and management skills. This approach has an
applied, professional orientation that emphasizes interdisci-
plinary knowledge production and decision-making pro-
cesses that include the input of societal stakeholders.
Compared with the other two models, this model
places significantly higher emphasis on the natural
resources and economic development knowledge factors
and on the management and cognitive skills factors
(synthesis and problem solving). It also places higher
emphasis on the humanities knowledge factor and on the
community engagement skills factor (significantly com-
paredtotheSystems Science model). Notably, this model
places higher importance than the other two models on
two of the three correlated factors that comprise the
coupled human-nature systems knowledge area—natural
resources and humanities—and three of the four correlated
factors that comprise the problem solutions and manage-
ment integrated skills area—cognitive,management,and
community engagement (Fig. 7).
The Adaptive Management model is the most popular of
the three approaches, representing the ideal for 45% of all
IE degree programs. Degree programs associated with the
Adaptive Management approach are more diverse and are
more likely to have a name other than environmental
science or environmental studies, such as Coastal Water-
shed Science and Policy (California State University-
Monterey Bay) or a management-focused name such as
Environmental Economics and Management (University of
Rhode Island) or Environmental Resource Management
(Pennsylvania State University). These programs include a
Fig. 4 Skills component means by educational approach/model
Fig. 5 Knowledge and skills
means for the systems science
model
J Environ Stud Sci (2011) 1:14–35 25
higher proportion of master of science and doctoral
programs and are significantly more likely to require
undergraduate participation in a research project.
Discriminant analysis of the models An analysis of the
three model clusters and their relationship to each other was
explored with discriminant analysis using the factors scores
for the ten knowledge and skills factors as the discriminat-
ing variables. The analysis revealed two dimensions, both
highly significant, that discriminate between the groups of
IE programs associated with each model.
The first dimension accounts for the majority of overall
variance that distinguishes the three groups (64%), while
the second dimension accounts for the remainder (36%).
The social sciences and public communication factors are
positively associated with the first dimension while the
technical research and analysis and natural sciences factors
are negatively associated with this dimension (Table 5). The
second dimension is positively associated with the other six
factors, especially management,community engagement,and
economic development.
Using these results, we can graphically illustrate the
relationships among the three ideal curriculum models to
illustrate a framework for understanding IE education in the
United States (see Fig. 8). Along the vertical dimension, we
differentiate the Adaptive Management approach from the
other two in terms of a curriculum with an applied,
solutions-oriented focus versus a problem analytic focus.
Along the horizontal dimension, we differentiate the
Systems Science approach from the Policy and Governance
approach in terms of a technical analysis focus versus a
societal understanding focus; the Adaptive Management
approach is located in an intermediate position. All three
curriculum models prepare students to engage in problem
solving for sustainability, but using different approaches.
In addition to the 343 degree programs included in the
survey, two new degree programs and a proposed frame-
work for sustainability science are indicative of the ways in
which IE degree programs may be organized based on these
three models. Kajikawa (2008) synthesized information
from research papers published in key journals to identify a
proposed framework for integrative sustainability science
that could serve as a model for Systems Science programs.
The new Master's in Development Practice developed by
the International Commission on Education for Sustainable
Development Practice provides an example of a program
focused on Policy and Governance (International Commis-
sion on Education for Sustainable Practice 2008). The
recently redesigned 5-year environmental science program
at ETH Zurich may span all three models depending upon
the desired career paths and options chosen by the
participating students. Notably, this program analyzed its
curricular components to assess how well it prepared
graduates for environmental careers and used the results
Fig. 6 Knowledge and skills
means for the policy and
governance model
Fig. 7 IE knowledge and skills
means for the adaptive
management model
26 J Environ Stud Sci (2011) 1:14–35
to align the program more closely with professional practice
(Hansmann 2009).
Results—relationships and influences
The third research question addressed in phase II of the
study asked how administrative and degree program
attributes may be related to the ideal curriculum types and
what these relationships indicate concerning program
structure and curriculum design. Relationships between
ideal curriculum types and program attributes were inves-
tigated through analysis of variance tests appropriate for
each attribute analyzed (α< 0.05). Influences were also
determined through qualitative analysis of the respondents'
answers to questions related to program success.
Curriculum models and program growth In addition to the
degree program characteristics associated with each of the
models discussed above, we also found two models differed
significantly on enrollment trend. Although most IE degree
programs report growth, those associated with the Systems
Science model have the highest proportion of degree
programs experiencing declining enrollment, while the
Adaptive Management model has the highest proportion
of degree programs with growing enrollment (Table 6).
A possible explanation is suggested by degree program
attributes significantly and positively associated with
program enrollment—sustainability inclusion (as a core
principle, in coursework, and through research and applied/
service learning opportunities) and four program objectives.
The three program objectives positively associated with
undergraduate program growth are: (1) preparing students
to be environmental leaders and change agents, (2)
providing community service, and (3) advancing environ-
mental research. The program objective of improving
environmental policy decisions is positively associated with
graduate program growth. These relationships suggest why
more programs in the Systems Science model are declining
since this model, in contrast with the other two models, was
significantly less likely to include sustainability or share
two of these four program objectives—preparing students
to be environmental leaders and change agents and
improving environmental policy decisions.
Based on our previous findings and review of the IE
program literature we postulated four program attributes
may exert influence on ideal curriculum preferences: (1)
Carnegie class of the host institution, demonstrated to
influence program administrators' perspectives on curricu-
lum design in the first phase of this study (Vincent and
Focht 2009); (2) the program institution's census region
(due to economic and sociopolitical differences); (3) the
program's location within the administrative hierarchy
(which may influence faculty participation, autonomy,
resource allocation, and other attributes); and (4) the
program administrators' educational preparation (which
may influence design of the curriculum).
Only one of these attributes—program administrators'
formal preparation—differs significantly between the three
ideal curriculum models: degree programs associated with
the Systems Science model are least diverse in program
administrators' preparation and include the highest propor-
tion of those prepared exclusively in the natural sciences
(Table 7). Administrators were grouped into one of four
categories based upon degrees earned: natural sciences,
applied/professional fields, social sciences/humanities, and
Fig. 8 Framework for understanding IE education in the U.S.
Table 5 Discriminant analysis correlation coefficients and standard-
ized function coefficients
Knowledge and skills factors Correlation coefficients
with discriminant dimension
First Second
Technical research and analysis −0.493
a
0.337
Natural sciences −0.452
a
0.291
Social sciences 0.360
a
0.311
Public communication 0.124
a
−0.006
Management 0.157 0.497
a
Community engagement 0.255 0.360
a
Economic development 0.002 0.347
a
Natural resources −0.091 0.304
a
Humanities 0.155 0.258
a
Cognition −0.050 0.195
a
a
Largest absolute correlation between each variable and any discriminant
function
J Environ Stud Sci (2011) 1:14–35 27
interdisciplinary. Although most IE program administrators
hold degrees exclusively in the natural sciences, the
programs associated with the other two models exhibit
more diversity. The Policy and Governance model has the
highest proportion of administrators prepared in the social
sciences and humanities, and the Adaptive Management
model the highest proportion of those with interdisciplinary,
applied or professional preparation.
The lower diversity of administrator preparation in the
Systems Science model is due partly to a higher proportion
of these degree programs located within natural science
departments. However, this difference can also be attributed
to the dissimilarity in the way administrators with different
educational backgrounds rate the importance of knowledge
and skill factors. Three knowledge factors (natural scien-
ces,natural resources, and economic development) and one
skills factor (management) exhibit significant differences in
mean scores based on administrator preparation. Admin-
istrators with interdisciplinary or applied/professional prep-
aration rate the importance of the natural resources,
economic development, and management factors higher
than those with degrees earned primarily in the natural
sciences or social sciences/humanities. Those prepared in
the natural sciences rate the importance of the natural
sciences factor higher than the other groups, and those
trained in the social sciences/humanities place significantly
lower importance on the economic development and
management factors.
Administrative location influences administrators' views on
program success Although programs' administrative loca-
tions are not significantly associated with the ideal
curriculum models, our analysis provides evidence that
programs housed within their own IE academic units
(environmental department, school or college, or cross-
institutional entity) may have important advantages when
compared to programs administratively housed in other
locations. We found significant differences in program
administrators' levels of satisfaction with factors influenc-
ing program success and the ability of programs to offer an
ideal interdisciplinary curriculum depending upon their
administrative location.
IE degree programs are found in a variety of institutional
locations ranging from an IE degree program within a
traditional disciplinary department to IE degree programs
offered through a consortium of colleges. Altogether, only
about a third of IE degree programs are located within their
own IE administrative units—an environmental department,
school or college, or cross-institutional center, institute, or
program (Fig. 9).
The largest proportion of these, representing 23% of all
programs, are located within their own department such as
the Department of Environmental Science at Allegheny
College, the Department of Environmental Studies at
Antioch University New England, or the Department of
Earth and Environmental Sciences at the University of
Pennsylvania. A few, about 4% of all programs, are situated
within their own IE school or college such as the Huxley
College of the Environment at Western Washington
University or the Nicholas School of the Environment and
Earth Sciences at Duke University. Another group, repre-
senting 11% of all programs, are positioned within their
own cross-institutional programs, institutes, or centers, such
as the Center for Environmental Policy at Bard College or
the Gaylord Nelson Institute for Environmental Studies at
the University of Wisconsin at Madison.
The remaining two thirds of IE degree programs are split
between locations as a degree program within a non-IE
department or jointly offered by a few non-IE departments
(31%) or as programs that cross one or more colleges
(31%). Examples of these include the Environmental
Studies degree program located in the Department of
Geology and Planetary Science at the University of
Pittsburg and the Environmental Studies Program at the
University of Nebraska at Lincoln that spans the College of
Agricultural Sciences and Natural Resources and the
College of Arts and Sciences.
Table 7 Program administrator educational preparation and ideal
curriculum models
Ideal curriculum model
Educational
preparation
category
Systems
science
(n=66)
Policy and
governance
(n=101)
Adaptive
management
(n=137)
Natural sciences 68% 48% 52%
Applied sciences
and/or professional
12% 22% 20%
Social sciences
and/or humanities
9% 16% 6%
Interdisciplinary 11% 14% 22%
Ideal curriculum model Rapid growth (n=63) Growth (n=113) Steady (n=88) Decline (n=37)
Systems science 16% 32% 35% 17%
Policy and governance 19% 40% 31% 10%
Adaptive management 24% 39% 25% 12%
Table 6 Ideal curriculum mod-
els and enrollment trends
28 J Environ Stud Sci (2011) 1:14–35
An interesting example of a multi-institutional approach
occurs in southern California where degrees are offered in
Environmental Science or Environment, Economic, and
Politics by the Claremont Colleges Consortium comprised
of Claremont Graduate University, Claremont McKenna
College, Harvey Mudd College, Keck Graduate Institute of
Applied Life Sciences, Pitzer College, Pomona College,
and Scripps College.
Program administrative locations also vary based on
degree program names. Programs named environmental
science(s) are most often located within other departments
(46%), while environmental studies programs are the most
likely to be located within their own department (32%).
The survey asked program administrators to gauge the
importance of various factors on the success of IE programs
in general and the level of their satisfaction with how their
own program addressed or utilized each factor in its own
success. Five groups of influencing factors were rated: (1)
curriculum factors, (2) institutional factors, (3) graduate
employment factors, (4) external support factors, and (5)
partnership factors (Table 8).
The factors rated of mean high importance for program
success included curriculum (incorporating real world
problems into courses, developing courses) and institutional
factors (leadership, faculty support). Factors rated of
moderate importance included curriculum (defining degrees
and specializations, course sequencing), institutional (loca-
tion within the administrative hierarchy, institutional sup-
port, competition with other academic units) and graduate
employment factors (local and/or regional employment,
national employment). The external support and partnership
factors were all rated of mean low importance for program
success.
Levels of satisfaction with various factors that influence
program success are generally higher for programs within
their own IE administrative units (Table 8). Over half of the
programs located within their own IE academic units are
highly satisfied with their administrative location in
contrast to less than a third of programs in other depart-
ments or that cross other academic units. Programs located
in their own IE environmental academic units are also
significantly more likely to be highly satisfied with their
ability to offer relevant degrees and specializations, provide
effective program leadership, prepare students for employ-
ment, compete for funding and public support, and
participate in partnerships with other educational institu-
tions and organizations.
Programs located in their own IE departments, colleges,
or cross-institutional centers or programs are also more
likely to provide an ideal curriculum. The survey asked
program administrators to rate the importance of 39
knowledge and skills areas in an ideal curriculum for each
degree their program offers and then to rate the actual
emphases in their current curricula. IE degree programs
located within their own environmental school or college
are most likely to provide curricula with ideal levels of
emphases on knowledge and skills areas, meeting or
exceeding the ideal mean emphases in all knowledge and
skills areas (Tables 9and 10). In contrast, programs located
within other departments were clearly at a disadvantage,
meeting the ideal emphases for only 17 of the 39—ten
knowledge and seven skills.
Given the wide diversity of institutional types and
structural reform initiatives designed to promote interdisci-
plinary learning and research, the optimal location for an
individual IE program may depend on the program and its
host institution. However, a trend is emerging; more
programs are transitioning or merging into their own IE
academic units and hiring their own faculty. Seven percent
of the programs participating in the survey reported that
they are moving into new administrative structures and/or
hiring their own core or jointly appointed faculty: three in
new departments, two in new institutes, two in new
schools, and five as mergers with other departments to
form new renamed, repurposed departments. Several others
report new institutional arrangements allowing them to hire
Fig. 9 IE degree program
administrative locations
J Environ Stud Sci (2011) 1:14–35 29
core faculty or share faculty appointments with other
departments.
A steady stream of new colleges, schools, and campuses
dedicated to the study of the environment and sustainability
are being established. These include the School of Global
Sustainability at the University of South Florida, the School
of Sustainability at Arizona State University, the College of
the Environment at the University of Washington—
purported to be the largest environmental college in the
world, the School for Global Environmental Sustainability
at Colorado State University, the School for Sustainability
and the Environment at Chatham University, and the State
University of New York at Stony Brook's Southampton
campus dedicated to the study of sustainability.
Building workforce capacity
Two trends influence the evolving roles for graduates of IE
programs and indicate how the three ideal curriculum
models may prepare students for emerging environmental
careers. The first is the need for the participation of most, if
not all, fields in solving complex and interrelated global
environmental problems. Jane Lubchenco (1998:491),
writing on behalf of the board of the American Association
for the Advancement of Science, challenged all scientists to
rethink the way science is deployed to meet the challenges
of the future.
The concept of what constitutes “the environment”is
changing rapidly. Urgent and unprecedented environ-
mental and social changes challenge scientists to
define a new social contract….The new and unmet
needs of society include more comprehensive under-
standing and technologies for society to move toward
a more sustainable biosphere—one which is ecolog-
ically sound, economically feasible and socially just.
In response, the federal government, institutions of
higher education, non-profit and for-profit organizations,
and thousands of individual scientists have realigned
Table 8 Effect of program location on high satisfaction with factors that influence program success
Influencing factor IE department
(n=50)
Within other
department(s)
(n=88)
IE college, institute or
other primary academic
unit (n=32)
Within or across other
academic unit(s) (n=76)
Curriculum factors
Offer relevant degrees and specializations 63% 41% 52% 40%
Develop courses 54% 42% 35% 35%
Sequence courses 33% 34% 32% 32%
Incorporate real world problems 71% 72% 65% 72%
Institutional factors
Institutional support 29% 16% 22% 20%
Program location 55% 27% 59% 32%
Program leadership 72% 44% 66% 62%
Faculty support 54% 38% 53% 53%
Compete w/other academic units 22% 8% 34% 23%
Graduate employment factors
Prepare graduates for local/regional employment 49% 49% 65% 38%
Prepare graduates for national employment 38% 21% 45% 19%
External support factors
Compete for federal funding 16% 8% 31% 11%
Compete for state and local funding 14% 7% 6% 4%
Compete for foundation and private finding 27% 9% 22% 11%
Win public support 12% 2% 22% 11%
Win political support 9% 1% 9% 6%
Partnership factors
Participate in educational institution partnerships 24% 11% 22% 16%
Participate in governmental agency partnerships 27% 15% 20% 18%
Participate in private sector partnerships 21% 17% 10% 11%
Participate in NGO partnerships 25% 7% 25% 14%
Participate in professional society partnerships 11% 4% 10% 4%
30 J Environ Stud Sci (2011) 1:14–35
research priorities, instituted new funding programs, and
designed new interdisciplinary structures to facilitate
interdisciplinary human-nature systems research, assist in
the development of new sustainability policies, and support
action aimed at solving pressing environmental problems.
The national Sustainability Research Strategy (U.S. Envi-
ronmental Protection Agency 2007) and the strategies
recommended by the National Science Foundation's Advi-
sory Council for Environmental Research and Education
(National Science Foundation AC-ERE 2009) illustrate
how the federal government is working to engage many
disciplines and entities in working toward enhanced
understanding of complex environmental systems, promot-
ing a higher level of public environmental literacy, and
providing a foundation for informing policy decisions.
The second trend is the increasing importance placed on
new modes of research, knowledge production, and
education that transcend disciplinary boundaries and ad-
dress scientific and societal problems using systems
thinking and analysis (Hirsch Hadorn et al. 2008; Frodeman
et al. 2009). Linking science, policy, and management is an
important component of such modes (van Kerkhoff 2005;
Runhaar et al. 2006; Pohl 2008). Lubchenco (1998), Clark
(2002), Runhaar et al. (2005), Holmes and Clark (2008),
and Pohl (2008) are among those who identify the linkage
of policy and science as one of the critical unmet needs of
society and the need for “translators”trained to work at the
policy-science and management-science interfaces.
The U.S. Environmental Protection Agency's (USEPA)
Workforce Assessment Project completed in 1999 stressed
that the environmental workforce of the future should
have sustainability expertise, multifaceted knowledge with
an emphasis on broad understanding of environmental
problems—knowledge of a variety of fields to know
where to look outside and inside the agency for expertise
relevant to solving sustainability-oriented problems, lead-
ership and management skills, and multi-dimensional,
audience-customized communication skills (U.S. Environ-
mental Protection Agency 1999).
Environmental professionals point to the relevance of
sustainability-oriented integrative processes in their work,
particularly the need for professional skills related to
Table 9 Effect of program location on the ability to provide ideal emphases on knowledge areas in IE degree program curricula
Knowledge area Mean ideal
emphasis
IE department
(n=50)
Other
department(s)
(n=88)
IE school,
college
(n=7)
Other school,
college (n=76)
IE center, institute
or cross-institutional
program (n=25)
Mean curriculum emphases
Natural sciences knowledge
Physical sciences 2.5 2.1 2.4 2.5 2.3 2.3
Life sciences 2.5 2.3 2.4 2.5 2.4 2.3
Social sciences knowledge
Policy, planning and administration 2.3 2.2 1.7 2.3 2.1 2.2
Economics 1.8 2.5 1.4 2.2 2.0 1.9
Other social sciences 1.7 2.2 1.4 1.9 2.0 1.6
Humanities knowledge
History 1.3 1.7 1.3 1.5 1.3 1.2
Philosophy and ethics 1.8 2.3 1.6 1.8 1.8 1.7
Literature and language arts 1.2 1.6 1.2 1.9 1.2 1.1
Applied sciences and professional
knowledge
Engineering and built environment 1.2 1.6 1.0 1.6 1.2 1.5
Business 1.4 1.7 1.0 1.7 1.4 1.3
Education 1.1 1.7 0.9 1.3 1.3 1.2
Research methods 2.3 2.5 2.2 2.6 2.4 2.2
Interdisciplinary knowledge
Ecology 2.6 2.6 2.5 2.6 2.6 2.5
Geography 1.9 2.1 1.6 2.0 2.0 1.8
Natural resources management
and agriculture
2.0 2.5 1.7 2.3 1.8 2.2
Sustainability 2.2 2.3 1.8 2.1 2.2 2.2
Knowledge area emphases
met/exceeded (within 0.2)
15/16 10/16 16/16 16/16 16/16
J Environ Stud Sci (2011) 1:14–35 31
context-specific problem solving that engages a variety of
public and private entities (Jǿrgensen and Lauridsen 2005;
Martin et al. 2005; Newman 2005; Runhaar et al. 2005).
They emphasize that professional competence is linked to
problem solving in specific contexts—“working with
environmental issues in the interplay of companies,
consultants, regulatory authorities, local communities and
non-governmental organizations”(Jǿrgensen and Lauridsen
2005:49). They conclude that environmental professionals'
education should be structured “more along thematic
guidelines that provide students with a set of problem-
solving strategies, and integrate general management
principles and organizational theory”(Jǿrgensen and
Lauridsen 2005:49).
A recent analysis by Brand and Karvonen argues that an
“ecosystem of expertise”is needed to effectively develop,
implement, and manage sustainability projects. This exper-
tise should include an “outreach expert who communicates
effectively to non-experts,”an “interdisciplinary expert
who understands the overlaps of neighboring disciplines,”
a“meta-expert who brokers the multiple claims of
relevance between different forms of expertise,”and a
“civic expert who engages in democratic discourse with
experts and non-experts”(Brand and Karvonen 2007:21).
Table 10 Effect of program location on the ability to provide ideal emphases on skills areas in IE degree program curricula
Skills area Mean ideal
emphasis
IE department
(n=50)
Other
department(s)
(n=88)
IE school,
college
or division
(n=7)
Other school,
college, or
division (n=76)
IE center, institute
or cross-institutional
program (n=25)
Mean curriculum emphases
Cognitive skills
Critical thinking 2.7 2.5 2.4 2.7 2.6 2.8
Problem solving 2.8 2.6 2.4 2.8 2.7 2.8
Creativity 2.3 2.4 1.8 2.7 2.2 2.5
Synthesis 2.6 2.4 2.1 2.4 2.4 2.5
Analysis 2.4 2.2 2.0 2.2 2.3 2.4
Communication skills
Technical and academic writing 2.7 2.5 2.4 2.7 2.5 2.4
Creative and journalistic writing 1.4 1.7 1.2 1.6 1.5 1.3
Oral communication 2.6 2.4 2.3 2.6 2.3 2.4
Mass communication 1.5 1.5 1.2 1.6 1.6 1.4
Research skills
Literature research 2.2 2.3 2.0 2.3 2.1 2.1
Field research 2.4 2.6 2.4 2.8 2.4 2.8
Laboratory research 2.2 2.4 2.2 2.5 2.3 2.8
Social research 1.9 2.2 1.6 2.4 2.0 2.1
Computational skills
Mathematics 2.1 2.1 2.0 2.6 2.0 2.4
Statistics 2.4 2.5 2.2 2.9 2.2 2.5
Spatial analysis 2.2 2.6 2.0 2.2 2.4 2.3
Decision sciences 1.6 1.6 1.2 1.8 1.6 1.6
Information management 1.6 1.9 1.3 1.7 1.8 1.4
Managerial skills
Personnel management 1.1 1.0 0.7 1.3 1.2 1.3
Project management 1.3 1.3 0.9 2.0 1.4 1.5
Leadership 1.7 1.7 1.2 2.7 1.8 1.5
Community relations 1.8 1.7 1.3 1.3 1.8 1.7
Advocacy and outreach 1.6 1.6 1.3 1.7 1.8 1.6
Skills area emphases met/exceeded
(within 0.2)
23/23 7/23 23/23 22/23 22/23
Total knowledge and skills area emphases
met/exceeded (within 0.2)
38/39 17/39 39/39 38/39 38/39
32 J Environ Stud Sci (2011) 1:14–35
These forms of expertise align with the three IE programs'
approaches to curriculum design: Systems Science (interdis-
ciplinary expert), Policy and Governance (outreach expert
and civic expert), and Adaptive Management (meta-expert).
There is substantial terminological ambiguity concerning
the terms describing integrated, cross-disciplinary process-
es, as well as considerable diversity in how these processes
are structured, implemented, and evaluated (Balsiger 2004;
van Kerkhoff 2005; Lengwiler 2006; Barry et al. 2008;
Jacobs and Frickel 2009). Substantial, but by no means
universal, agreement is evident on two terms often used to
describe these processes: interdisciplinary and transdisci-
plinary. The most frequently cited distinction between these
two is based on the purpose of the process and therefore
who is included. Interdisciplinary processes are those
undertaken by scientific and technological experts to gain
understanding of complex environmental systems and
phenomena. Transdisciplinary processes add environmental
practitioners, policymakers, economic sector representa-
tives, and public stakeholders to participate in decision
making, policy development, and governance protocols to
guide the management of complex coupled human-nature
systems. Though both processes are designed to address
problems through knowledge integration and mutual learn-
ing (Fiksel 2006; Bosch et al. 2007; Pohl 2008; Wiek and
Walter 2009), they incorporate different value rationalities
and forms of knowledge (Godemann 2008;Polkand
Knutsson 2008). These two trends suggest that students
trained in IE programs are uniquely qualified to participate
in these new interdisciplinary research, knowledge produc-
tion, and decision-making processes.
Conclusions and next steps
Our findings provide a broad framework based on coupled
human-nature systems and sustainability that can serve as a
foundation for understanding IE programs and guiding
curriculum design. The framework proposes that a core
curriculum that addresses three interdisciplinary knowledge
areas (natural sciences,coupled human-nature systems, and
economic development) and two integrated skill sets
(problem analysis and problem solution and management)
could win support in the IE education community.
While considerable diversity currently exists, our study
finds that three ideal approaches to interdisciplinary
environmental education are expressed: Systems Science,
Policy and Governance, and Adaptive Management. These
approaches place differential emphasis on knowledge and
skill components but share a common identity centered on
sustainability-oriented problem solving. Students prepared
in these programs fulfill roles as IE participants, guides,
facilitators, analysts and managers.
The Systems Science model, focused on systems scien-
ces, is analytical, diagnostic, and problem-oriented. This
approach can prepare scientists who, through broad
understanding of sustainability and human-nature interac-
tions combined with disciplinary depth in an area of natural
science, can effectively participate in interdisciplinary
research to inform decision-making processes.
The Policy and Governance model, focused on commu-
nities and policy, is aimed at institutional and societal
reform through increased awareness, empowerment, and
behavior change. This approach can prepare citizens,
community leaders, and administrative professionals as
effective participants in transdisciplinary decision-making
processes by serving as translators working at the policy-
science and policy-management interfaces.
The Adaptive Management model, focused on adaptive
management, is applied, flexible, responsive, and solutions-
oriented. This approach can prepare professionals as “meta-
experts”who understand competing knowledge claims and
expertise and are therefore able to construct, facilitate, and
manage sustainability-oriented transdisciplinary decision-
making processes and sustainability-oriented management
programs.
We recognize that more remains to be learned before
core competency recommendations can be formulated to
gain broad acceptance. The specific knowledge and skill
elements included within each curriculum component have
not been determined. While many elements could apply to
all programs, others will vary based on specific program
themes related to topic (e.g., biodiversity, watersheds,
climate change), economic sector (e.g., energy, architecture,
agriculture), or region (e.g., coastal, arid, alpine). Extensive
dialogue is needed to explore the possibility for consensus
on guidelines for curricular content, pedagogy, and admin-
istration and on whether such recommendations should
vary across the three ideal curriculum models. However, we
are comfortable in proposing that the IE field is concerned
with coupled human-nature systems and with a commit-
ment toward the sustaining the health of these systems.
Based on the correlations among importance ratings of
knowledge factors, we believe that an IE core curriculum
would need to address natural resource sustainability
through appropriate application of the social sciences and
the humanities to the human-nature interface and informed
by appropriate understanding of natural sciences and
applied sciences related to economic development.
The next phase of the IE programs study is currently
being implemented by the NCSE and CEDD. A follow-up
national survey will include sustainability degree programs
in addition to IE degree programs to learn about their
similarities and differences. The 2011 survey will allow us
to elucidate trends in administrative and degree program
design and determine if the three types of ideal approaches
J Environ Stud Sci (2011) 1:14–35 33
to curricula are converging, diverging into additional
approaches, or remaining steady. The Association of
Environmental Studies and Science is partnering with
NCSE on the follow-up study and leaders the Association
for the Advancement of Sustainability in Higher Education
in the American Association for the Advancement of
Science Initiative on Science and Technology are providing
input on the survey design.
Our ongoing study will allow us to acquire a more
thorough understanding of IE and sustainability program
curricula at colleges and universities in the United States.
This understanding will be used to inform a national
dialogue on core competence areas that can form the basis
of a consensus leading to guidelines for program develop-
ment and curriculum design, and perhaps eventually to
accreditation or program certification criteria. The findings
will also reveal how program leaders view the role of
interdisciplinary and sustainability program graduates in the
twenty-first century in meeting the needs of sustainability-
oriented scholarship, research, and professional practice.
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