Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur 51:1 (2021)
Intersecting Roadmaps: Resolving Tension
Between Profession-Specific and University-Wide
Graduate Attributes
Abstract
Can we map university-wide graduate attributes to specic program requirements? Can we develop and manage an integrat-
ed assessment process? In this article, we present a seven-month long project where we attempted to map generic university
graduate attributes (UGAs) to required engineering program graduate attributes in a large Canadian research institution.
The purpose of the project was to explore the intersection of the UGAs with engineering graduate attributes, evaluate the
accreditation process, develop a mapping process, and examine management strategies for assessing both sets of graduate
attributes, all the while keeping the continual improvement process attractive to students, instructors, and administrators.
Using a modied dialectical inquiry, two groups worked on the mapping process: one from engineering, the other from social
sciences (Education and Arts), to ensure objectivity of comparison. Both forward and backward mapping took place. Results
demonstrated that, although generic, UGAs may not necessarily capture specic professional program graduate attributes.
The study also highlighted the need for more revisions and updates of UGAs by including various stakeholders who can
substantially contribute to the implementation and assessment of UGAs.
Keywords: graduate attributes, engineering education, professional attributes, mapping, learning outcomes
Résumé
Peut-on associer des compétences transversales universitaires, d’ordre général et générique, à des exigences et compétenc-
es essentielles propres à un programme de formation particulier? Peut-on mettre au point et gérer un processus cohérent
et uni d’évaluation des deux types de compétences au sein du même établissement postsecondaire? Dans cet article, nous
présentons un projet qui a duré sept mois et dans lequel nous avons tenté de mettre en correspondance les compétences
transversales universitaires et les compétences essentielles requises dans le programme d’ingénierie d’un établissement
canadien. Le but de ce projet était d’explorer l’intersection des compétences transversales et de celles requises des diplômés
en génie et d’évaluer le processus d’agrément du programme de génie. En gardant en vue l’idée de garder le processus
d’amélioration continue attrayant pour les étudiants, les enseignants et les administrateurs du programme, nous visions à
mettre au point un processus de schématisation/modélisation pour déterminer des stratégies de gestion an d’évaluer les
deux ensembles de compétences. En utilisant une enquête dialectique, deux équipes se sont penchées sur le travail de
schématisation/modélisation : l’une du domaine de l’ingénierie, l’autre de celui des sciences sociales (éducation et arts), an
d’assurer l’objectivité de l’étude comparative. Une schématisation inversée a eu lieu. Les résultats démontrent que, bien que
génériques, les compétences transversales universitaires ne capturent pas nécessairement les compétences essentielles
particulières aux programmes professionnels. L’étude a également mis en évidence le besoin de réviser et de mettre à jour
les compétences transversales universitaires en incluant des parties prenantes qui peuvent contribuer substantiellement à
leur mise en œuvre et à leur évaluation.
Mots-clés : compétences transversales, pédagogie du génie, compétences professionnelles, schématisation, résultats d’ap-
prentissage
Jason P. Carey
University of Alberta
Samira ElAtia
University of Alberta
Marnie Jamieson
University of Alberta
Bashair AliBrahim
University of Alberta
Marcus Ivey
University of Alberta
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
72
Introduction
At higher education institutions in Canada, professional
engineering programs are accredited by the Canadian
Engineering Accreditation Board (CEAB). The aim of the
accreditation process is to ensure each student grad-
uating from an accredited engineering program meets
the profession’s minimum knowledge and skills devel-
opment required by the principal stakeholders of their
education; namely, the profession, society, education-
al institutions, employers, and graduates themselves.
Similar to other professions, such as medicine and law,
the governing bodies require strict development and as-
sessment of eld-specic technical knowledge, skills,
and abilities (Committee on the Accreditation of Canadi-
an Medical Schools [CACMS], 2019; Federation of Law
Societies of Canada Standards, 2018; CEAB, 2019).
Non-professional university programs do not require an
accredited quality assurance assessment of students,
programs, and instructor qualications; however, from
employability and career decision-making perspectives,
students desire to understand and dene the competen-
cies developed as a result of their university experience
regardless of the discipline of study (Dew et al., 2013).
To this end, the University of Alberta identied and
published a set of seven student attributes to reect
graduate characteristics and the values of the universi-
ty believed to be developed as a result of course work
and extracurricular activities (Dew et al., 2013). The rec-
ommended implementation path and assessment of the
student attributes was to be accomplished by program
planners and instructors. An obstacle to implementa-
tion is the perception of whether or not these attributes
are linked to program objectives, are developed and/
or addressed in the curriculum, would be linked to the
curriculum, and could hence be assessed by instructors
(Kanuka & Cowley, 2017). The implementation of UGAs
as a set of outcomes acquired by students in higher ed-
ucation is a complex, multifaceted project. It requires
cooperation and collaboration on many levels, spanning
from the classroom and course level, to the program and
department level, to the interdisciplinary and administra-
tive levels, and beyond academia to include the multiple
stakeholders invested in qualied university graduates,
including potential employers, communities of practice,
and accreditation and regulatory bodies. It is a complex
process that is challenging to undertake (Hamou-Lhadj
et al., 2015; Harris et al., 2011; Kaupp et al., 2012; Kaupp
& Frank, 2016; Oliver & Jorre de St. Jorre, 2018; Park-
er et al., 2019; Sepheri, 2013; Stiver, 2011; Watson et
al., 2018
1
) given the various and diverse stakeholders
involved as shown in Figure 1.
Each professional accrediting body may use dier-
ent terminology to dene what competencies graduates
must meet. For example, the Committee on the Accred-
itation of Canadian Medical Schools (CACMS, 2019)
denes in its lexicon, medical education program objec-
tives, which are dened as “statements of what medical
students are expected to be able to do at the end of the
educational program i.e., exit or graduate level compe-
tencies” (p. iv). The Federation of Law Societies of Can-
ada Standards (2018) calls them skill competencies. In
the Canadian engineering education eld, these abili-
ties are called graduate attributes (CEAB, 2019); they
are demonstrated through institution level-specic and
measurable indicators mapped to course learning out-
comes (Ivey et al., 2017, 2018). In each of these profes-
sions, graduates are required to demonstrate knowledge
and skills specic to the profession (e.g., engineering
design, clinical skills, knowledge of case law) and skills
that are often common (e.g., lifelong learning, communi-
cations, ethics). A complete review of accreditation bod-
ies and processes is outside of the scope of this article,
but there is clearly signicant overlap in professional
requirements.
The language used to describe the professional
competencies is very dierent, which underpins the
need for a process to map competencies in dierent
elds when implementing and administering a set of
graduate attributes relevant to all university graduates,
especially those in professional programs governed by
accreditation requirements. In this article, we examine
the intersection of two sets of graduate attributes at the
Faculty of Engineering, University of Alberta: the profes-
sional engineering graduate attributes, and the univer-
sity graduate attributes for the purposes of implementa-
tion and administration in a faculty of one university. In
engineering, assessment of graduate attributes is part
of the required continual improvement process (CIP),
a framework each program must develop. There are 12
engineering graduate attributes (GAs) related to student
performance of engineering work that must be demon-
strated at dierent levels of ability prior to graduating.
The Faculty of Engineering, University of Alberta
framework has been detailed extensively (Parker et al.,
2019; Ivey et al., 2018; Watson et al., 2018; Ivey et al.,
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
73
2017). The seven university graduate attributes are re-
lated to skills, characteristics, and values. The necessity
for students to demonstrate these attributes is linked to
post-graduation marketability and the idea that a univer-
sity education provides preparation to contribute to the
public good (Bendixen & Jacobsen, 2017) rather than
demonstrated competence for entry into a profession.
Implementation has been slow in professional programs
as accreditation-related graduate attribute assessment
is already in place and the correspondence of the sets of
professional and university graduate attributes is not ob-
vious. In addition, the actual assessment of the UGAs is
viewed as an obstacle by academics (Ipperciel & ElAtia,
2014; Kanuka & Cowley, 2017; Maguire & Gibbs, 2013).
In non-professional and professional programs alike,
there are challenges in implementation as academics
do not share common conceptions of student attributes,
how they are developed, or the core achievements of
higher education.
Prior Research on Implementing
Graduate Attributes
Since the 1989 Washington Accord (International En-
gineering Alliance [IEA], 2015), engineering education
programs accredited by signatories, such as CEAB and
the American Accreditation Board for Engineering and
Technology (ABET), are recognized as academically
equivalent to support international mobility for profes-
sional engineers. In 2009, the Washington Accord ac-
crediting bodies introduced the engineering graduate
competency-based outcomes as part of the accreditation
process (Easa, 2013; Frank et al., 2011; Gopakumar et
al., 2013; Stiver et al., 2010). Subsequently, engineering
programs began grappling with how these graduate attri-
butes would become a part of the accreditation process
with limited direction from the Canadian Engineering
Accreditation Board or Washington Accord signatories.
Engineering schools began implementing processes to
review curriculum and map the graduate attributes to
curriculum content, develop assessment criteria, and
then measure graduate achievement of these attributes.
Gradually, the 12 CEAB graduate attributes
2
and the
associated CIP (IEA
3
, 2015) have become a signicant
part of the accreditation process in Canada (CEAB,
2017, 2018; Kaupp & Frank, 2016). The CEAB Gradu-
ate Attributes (CEAB-GAs) have driven changes to the
accreditation process, program level assessment, and
highlighted the need for a university culture that supports
the scholarship of teaching and learning at program and
course levels as part of the CIP (Doré, 2019; Jamie-
son & Shaw, 2019b; Meikleham et al., 2018; Parker et
al., 2019). The development of the Washington Accord
graduate attributes took nearly a decade (Stiver, 2011;
Parker et al., 2019), another decade passed before they
were introduced into the Canadian accreditation process
(Parker et al., 2019), and it is expected to take another
two accreditation cycles for full integration of the grad-
uate attribute continual improvement process (GACIP).
Since 2014, engineering programs in Canada are
required to report graduate attribute achievement and
demonstrate the use of a CIP to identify program im-
provement opportunities or justify the status quo (CEAB,
2018) as part of the accreditation process (CEAB,
2017). In Canadian universities, the implementation of
the CEAB-GAs framework for assessing the quality of
engineering education and graduates is mandated by
the national accreditation board and supported by pro-
vincial regulators. Consequently, academic program
administrators and instructors in engineering faculties
are working toward meaningful implementation of these
attributes within their curriculum (i.e., Kaupp & Frank,
2016), developing management strategies (i.e., Parker
et al., 2019), and writing about their ongoing progress
and struggles, including the Engineering Graduate Attri-
bute Development (EGAD, 2018) program inaugurated
by several Canadian universities
4
. In addition, some en-
gineering schools associated with the Conceive, Design,
Implement, Operate (CDIO) program have investigated
how the CEAB accreditation requirements map to CDIO
5
program standards and syllabus (Cloutier et al., 2012;
Meikleham et al., 2018; Platanitis & Pop-Iliev, 2011) in
order to better manage student and program assessment
for two purposes; namely, accreditation and post-gradu-
ation marketability.
Parallel to this—and triggered by a growing dissat-
isfaction with higher education outcomes for university
graduates (Arum & Roska, 2010), such as job opportu-
nities and graduates’ readiness for the job market—the
need for a valid and longitudinal assessment that serves
the needs of all higher education stakeholders comes to
light. University-wide Graduate Attributes (UGAs) are
presented as global learning outcomes for students,
acquired during their education; they set criteria to as-
sess the transformative inuence of higher education on
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
74
graduates and may link assessment to quality assurance
and continual improvement, enhancing accountability of
post-secondary institutions (French et al., 2014; Treleav-
en & Voola, 2008), especially in the eyes of funders. The
UGAs model comprises competency-based assessment
criteria “which structures learning around competencies
dened as fundamental for successful performance”
(Stoe & Pryor, 1980, p. 55). O’Donnell et al. (2017)
identify two directions of transferable skill and attribute
(TSA) development progression: a vertical progression
enabling students to operate within their academic eld
of study and a horizontal skill development progression
that crosses academic disciplines and enables students
to “operate successfully within a variety of employment
settings” (O’Donnell et al., 2017, p. 21). A goal for pro-
fessional and non-professional programs is to develop
both discipline-specic and generic professional compe-
tencies to foster exibility and resilience in the face of a
changing world.
The process of integrating the UGAs model into uni-
versity professional programs requires integrating this
more horizontal transferable skill progression (address-
ing employability and transformative experience) with
discipline-specic and professional program require-
ments such as the CEAB-GAs, which address discipline
competencies, and quality assurance accreditation. As
graduates of dierent professional programs are expect-
ed to master skills related to their practical domain, these
skills may or may not overlap with the UGAs (Harris et
al., 2011; Stiver, 2011).
In order to ensure an eective implementation of
a continual improvement program and aligned assess-
ment of graduate attributes, engineering program and
curriculum designers now integrate course-level learn-
ing outcomes mapped to the CEAB graduate attributes
and linked to the overall program objectives (Ivey, 2017;
Kaupp & Frank, 2016; Watson et al., 2018). Work and
co-op experience, capstone design projects, internships,
and extra and co-curricular activities may be included
as contributing factors to graduate attribute development
(Gwyn, 2017; Gwyn & Gupta, 2015; Jamieson, 2016;
Salustri, 2017; Shehata & Schwartz, 2015). The subse-
quent integration of the UGAs into this process requires
the examination of overlap and divergence of the two
sets of graduate attributes and the management of the
assessment and continual improvement processes.
Figure 1
Stakeholders and Graduate Attributes
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
75
The implementation of the UGAs is still evolving and
a shared understanding of what the UGAs are and how
to implement them is still developing (Kanuka & Cow-
ley, 2017). Administrative questions with respect to co-
ordinated implementation with accredited programs are
currently being investigated. This article reects on the
outcomes of the process of mapping the UGAs to the
CEAB-GAs within the Faculty of Engineering (F of E) at
the University of Alberta (U of A). In addition to the map-
ping outcomes, the study highlights the methodology of
mapping the graduate attributes to distinguish the over-
laps and divergences between the two sets of graduate
assessment criteria in order to implement the UGAs in a
professional program.
Theoretical Frameworks Guiding
the Study
As illustrated above, the body of literature on student at-
tributes regarding their higher education purpose, their
developmental goals, and their implementation goals
are diverse. To guide our work, O’Donnell et al.’s (2017)
description of discipline (vertical) and cross-discipline
(horizontal) TSA frames the developmental goals of the
GA. For the implementation goals Maguire and Gibbs’
pragmatic denition of quality assurance best describes
the CEAB-GA: “Quality has no intrinsic link with what
higher education is; it is simply a measure of how well,
eective or ecient an institution is in providing the
benets it claims for itself and its stakeholders” (Maguire
& Gibbs, 2013, p. 44). The UGAs are better described
by the denition presented: “This denition extends be-
yond the needs of the institutions and includes societal,
economic and political dimensions of what can be taken
as higher education” (Maguire & Gibbs, 2013, p. 44). In
order to include the UGAs within the Faculty of Engineer-
ing GA assessment process for accreditation, an under-
standing of the congruence and divergence of the two
sets of GAs is required. Regarding the overall purpose
of student attributes in higher education, we propose a
stakeholder framework as noted in Figure 1 to recognize
the diverse interests in this process.
Dialectical Approach to Mapping
We employed a dialectical approach to mapping the
UGA to the CEAB-GA. In mathematics, mapping is syn-
onymous with transformation and is dened as “any
prescribed way of assigning to each object in one set
[emphasis added] a particular object in another (or the
same) set” (Osserman, 2006, para. 2). In this project, we
embarked on a structured qualitative approach to carry-
ing out the mapping process between two sets of gradu-
ate attributes from the university: one is mandated by an
accreditation body, while the other is more of a guide to
generically dene what students acquire in a university
beyond the classroom experience.
Using Dialectical Inquiry (DI), we proceeded to the
mapping process within a qualitative research methodol-
ogy. Berniker and McNabb (2006) dene DI as “a useful
structured qualitative research method for studying or-
ganizational sense making processes as they are under-
stood by participants.… Its focus is on the content and
meaning of models and theories in use” (pp. 644–645)
Dialectical inquiry requires debate and building ar-
guments by experts on a subject or matter that requires
opposite views. Hence, we organized our DI through an
adapted Hegelian model of: thesis, antithesis, synthe-
sis. We approach both sets of graduate attributes, the
university, and the CEAB as thesis and antithesis, and
the mapping process was the nal synthesis of both for-
ward mapping (thesis) from CEAB to UAB, and back-
ward mapping (synthesis) from UGA to CEAB. The nal
results that contributed to the mathematical range is
the synthesis of our work. Our aim was to answer these
questions: Are the CEAB and UGAs equivalent/overlap-
ping? And how can we read these similarities and/or dis-
similarities within the wider scope of quality assurance
in higher education?
Back in 1969, Mason found utility of the dialecti-
cal modeling for eective decision support system: the
constructive debate between experts leads to better
outcomes—a synthesis of new ideas and ndings. The
mapping process that we undertook was directly found-
ed on this model for decision making.
Research Design
The overarching objective of this interdisciplinary study
at the U of A is to advance the scholarship in under-
standing, use, implementation, and management of
related graduate attribute competency-based continual
improvement processes. This article addresses the fol-
lowing questions:
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
76
What are the challenges of aligning the UGAs
with program-specic requirements (the CE-
AB-GAs in our case study) to facilitate ecient
implementation?
How does mapping for implementation contrib-
ute to evolving the UGAs as a universal assess-
ment criterion to include vertical and horizontal
TSA development aspects?
How does the dialectical method of one-to-ma-
ny and many-to-one relationship expose the
blindsided areas in the UGAs and in any as-
sessment criteria in general?
The aim of this study is to identify the main areas of
divergence between the two GA assessment models,
along with identifying the main challenges of the actual
enactment of the UGAs in curriculum design more broad-
ly. The outcomes of this article will be valuable to those
who seek to integrate UGAs with professional practice
programs governed by external graduate attributes. This
model is proposed for use in dierent faculties and dis-
ciplines and toward a cross-disciplinary standardization
of the UGAs assessment process.
Case Description: Integration of the
CEAB-GA and UGA Management
Systems
The initial development of two separate systems to as-
sess graduate attributes for engineering undergraduate
students was identied as redundant, overlapping, an un-
due burden for both students and instructors, and poten-
tially dicult to manage by program administration. The
UGAs are structured as knowledge, skills, and attitudes
(KSA) indications of the attribute and were intended to
demonstrate student and program quality assessment of
higher education programs. From a preliminary review,
the CEAB graduate attributes and those of the U of A
did not match as listed in Table 1. From a professional
program perspective, the priority of the Faculty of Engi-
neering is to maintain accreditation, meet the governing
body’s requirements, and train undergraduate students
to ensure the safety of the public whom engineers serve;
notwithstanding U of A requirements for demonstrating
graduate competencies.
Table 1
University and CEAB Graduate Attributes
UGA (7) CEAB-GA (12)
1. Ethical Responsibility (ER) 1. Knowledge base in engineering (KB)
2. Scholarship (SC) 2. Problem analysis (PA)
3. Critical Thinking (CT) 3. Investigation (IN)
4. Communication (CM) 4. Design (DE)
5. Collaboration (CL) 5. Use of Engineering tools (ET)
6. Creativity (CR) 6. Individual and team work (TW)
7. Condence (CF) 7. Communication skills (CS)
8. Professionalism (PR)
9. Impact of engineering on society and environment (IS)
10. Ethics and equity (EE)
11. Economics and project Management (EP)
12. Lifelong learning (LL)
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
77
Accreditation and Graduate
Attribute Implementation in
Engineering Programs
The accreditation process of engineering undergraduate
programs is multifaceted. Competency-based assess-
ment, curriculum content, and quality inputs are seen
as complementary aspects of a program and its accred-
itation. If an institution can deploy resources for collab-
orative implementation at the administrative, program,
and course level, a cultural shift that explicitly makes
learning a priority can happen. Students, instructors, ad-
ministrators, and stakeholders must recognize the value
in the implementation and believe that developing the
graduate attributes is a worthwhile activity for the gradu-
ate attributes to become embedded at the program and
course levels (Hamou-Lhadj et al., 2015; Jamieson &
Shaw, 2016, 2018a, 2019a; Kaupp & Frank, 2016; Oliver
& Jorre de St. Jorre, 2018; Parker et al., 2019).
To achieve the objective of embedding the UGAs
into the course and program levels of the curriculum,
three levels of implementation and cultural change are
targeted. The rst is the institutional level, where a col-
laborative administrative team allocates resources, de-
velops an implementation vision, and executes a strate-
gy to support a learning-focused team that develops and
monitors the implementation process as shown in Figure
2. At this level, a collaborative eort aimed at integrating
the goals of the professional program(s) and the univer-
sity graduation requirements is required. The second is
a program-level approach that focuses on mapping the
graduate attributes to the curriculum, the developmental
trajectory of the graduate attributes on the learning path-
way (Meikleham et al., 2018) over the program years,
and integrating the goals of the professional program
and the university graduation requirements into the pro-
gram and course objectives. The third level targets spe-
cic course design coordinated with the developmental
trajectory of the graduate attributes on the learning path
for the program. Figure 3 shows an integrated approach
to managing CEAB-GA implementation and continual
improvement at the program and course levels focusing
on constructivist and outcome-based learning approach-
es (Hattie, 2009). Course instructors can embed GAs at
the course level given an institutional learning culture,
but the learning trajectories must be managed at the pro-
gram level across multiple courses that allow the student
to progress on a learning pathway that scaolds graduate
attribute development through the program progression.
The initial institutional level work done at the U of A
in the Faculty of Engineering to implement a manage-
ment structure for the CEAB-GA is discussed in this
case. At the time of investigating how UGA integration
might occur, the U of A, Faculty of Engineering had al-
ready developed a management structure, mapped
the curriculum, and was starting to move into Stage 3
as described in Figure 2. This study identied the rst
step toward integration as mapping the UGAs to the CE-
AB-GAs to outline the overlap as well as the divergence
between the two frameworks, and potentially provide a
management strategy to reduce assessment loading at
the program and course levels while satisfying the pro-
fessional program requirements and the university re-
quirements concurrently.
Figure 2
Graduate Attributes Implementation Stages
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
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78
Developing the CEAB-GA
Management Structure
In accordance with the internationally agreed-upon
Washington Accord (IEA 2015), accreditation of Cana-
dian engineering undergraduate programs requires stu-
dents demonstrate a satisfactory level of competence
commensurate with the professional expectations of an
engineer in training at the time of graduation (CEAB,
2017). The development of these competencies should
progress over the course of the engineering program.
The CEAB-GAs are structured as competency or perfor-
mance-based outcomes (Hattie, 2009) and intended to
assure graduate and program quality. The U of A, Faculty
of Engineering assessment model includes aspects, in-
dicators, and measurements for each of the CEAB-GA.
The 12 CEAB graduate attributes listed in Table 2 are
dened in Appendix A, Table A.
For the U of A, Faculty of Engineering GACIP man-
agement process, a hierarchy was developed for each
CEAB-GA as shown in Figure 4. For each of the 12 CE-
AB-GAs, the faculty academic planning committee iden-
tied a number of aspects (sub-attributes) that elaborat-
ed or characterized that CEAB-GA to provide a better
Figure 3
Continual Improvement Process
Algorithm for the University of Alberta
6
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
79
understanding of how many dierent dimensions had to
be considered and assessed within the curriculum. The
aspects developed for the engineering programs are
presented in Appendix B, Table B, where the mechan-
ical engineering program is used as the example. With
exceptions of CEAB-GA (1), Knowledge Base for Engi-
neering, and CEAB-GA (5), Engineering Tools, which
were largely discipline-specic, a common set of as-
pects was developed for all engineering programs at the
U of A. This supported the deployment of a standardized
management approach across the dierent engineering
programs. For each aspect, at least one indicator was
identied. These indicators describe some assess-
able skill and/or ability that an engineering student can
demonstrate developmental competency in. The total
number of indicators for all U of A engineering programs
ranges from 82 to 90, depending on the program. In our
programs, the number of indicators per graduate attri-
bute ranges from four to 19. In mechanical engineering
there are 82 indicators. Those highlighted in grey are
discipline-specic. With this level of detail, mapping the
U of A graduate attributes to the Faculty of Engineering
CEAB-GA sub attributes was possible.
University-Mandated Graduate Attributes
at the University of Alberta
In 2007, the U of As Sub-Committee (Dew et al., 2013)
on Graduate Attributes identied and developed indi-
cators for the following seven competencies/proles as
graduating attributes of its students: ethical responsibil-
ity, scholarship, critical thinking, communication, collab-
oration, creativity, and condence. The development of
the UGAs and subsequent work of the Sub-Committee
on Graduate Attributes was an initiative led by students
from the students’ union representing various faculties,
with advice and supervision by faculty members under
the direct coordination of the Center for Teaching and
Learning (CTL). The ultimate goal of these groups is a
specic interest in identifying the attributes that students
acquire during their university education that go beyond
the classroom and the scholarship of the subject. The
work was linked directly to employability attributes (i.e.,
these students wanted to identify what soft skills they
acquire during their university overall experience that
prepare them for the workplace). After two years of work,
the Sub-Committee on Graduate Attributes published its
seven university attributes and their sub-indicators as
guidelines for all university programs (Dew et al., 2013).
Figure 4
Graduate Attribute Hierarchy (CEAB, 2017)
Graduate
Attribute
Aspect
Indicator
Measure
CEAB Specied GA
eg. A knowledge base for engineering
Subcategory of the relevant GA
eg. Mathematics, Natural Sciences, etc.
Skill/knowledge on which students are assessed
eg. Assesses data uncertainty and error
Course & assessment tool
eg. Exam, Assignment, Report, etc.
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Being notoriously dicult to implement and assess
(Barrie, 2006; Drummond et al., 1998), typically because
of their abstract and non-homogenous nature (Bennett
et al., 1999; Green et al., 2009; Taylor et al., 2012), the
integration of the UGAs has yet to gain traction cam-
pus-wide among instructors
7
. Previously, we devised a
criteria-based model for assessing UGAs (Ipperciel &
ElAtia, 2014). This model is founded on the understand-
ing of UGAs as knowledge, skills, and attitudes, which
allows us to integrate UGAs of a dierent nature. The
model is also built around the notion that UGAs need
to be “interpreted” as praxis-oriented, with can-do state-
ments. These two measures allow for a subsequent and
crucial step prior to the operationalization of the UGAs:
the development of rubric scales for assessment. Follow-
ing this rst step, a readily implementable and practical
UGAs assessment platform was developed (ElAtia et al.,
2016; ElAtia & Ipperciel, 2017). The main objective is
to have an implementation of the conceptualized mod-
el to establish an assessment procedure that accounts
for the needs, interests, and concerns of the main GA
stakeholders (i.e., students and instructors). This simi-
lar and parallel development of the university graduate
attribute KSAs and praxis orientation and the CEAB-GA
aspect and indicator development allowed for the pos-
sibility of mapping. This project proposes to implement
an integrated assessment platform for both UGAs and
CEAB-GAs for the Faculty of Engineering to determine
to what extent both are addressed and acquired in the
program.
Mixed Method Mapping Process for the
UGAs to the CEAB-GAs
The mapping exercise was performed by two teams.
The rst group was composed of three members of the
Faculty of Engineering, all of whom are subject-matter
experts familiar with the CEAB-GAs and their assess-
ment within the context of an engineering program. The
second group was composed of two external members
who were extensively researching the assessment and
implementation of the UGAs. In this way, the teams are
complementary and can have an objective, arms-length
evaluation of the process. Both teams worked on map-
ping the two sets of attributes presented in Table 1 using
the sub-attributes of both sets. A sequential mixed meth-
ods study design was utilized. A qualitative exploratory
mapping study was followed by a quantitative aggrega-
tion of the mapping results. Integration of the qualitative
and quantitative study results was completed as part of
the interpretation of the results and presented in the re-
sults and analysis section.
For each of the 12 CEAB-GAs, the Faculty of Engi-
neering had previously dened a list of sub-attributes,
which constitute the key aspects of each graduate at-
tribute. For each one of these sub-attributes, indicators
had also been dened, which describe what a student
must do to show competency in the attribute. Where
possible, indicators were common across all nine engi-
neering programs in the faculty; but where necessary,
program-specic indicators were used. When assess-
ing students, performance was rated on a 4-level scale
based on a descriptive rubric consistent with accredita-
tion standards.
Similarly, each of the seven UGAs have four sub-at-
tributes associated with them. During the work to devel-
op a criteria-based model for assessing UGAs, specic
interpretations in the form of can-do statements were de-
veloped for each sub-attribute, along with descriptive ru-
brics for a 5-level rating scale to describe relative levels
of attribute acquisition (ElAtia & Ipperciel, 2015a). The
structure of these statements bears a close resemblance
to the indicators and assessment rubrics written for the
engineering sub-attributes and CEAB-GAs.
To map the UGAs to the CEAB-GAs, each Faculty of
Engineering indicator was compared to the list of can-
do statements and associated rubrics used to describe
the University sub-attributes. Each team worked inde-
pendently and then collaboratively in a group to compare
analyses. Related sub-attributes and can-do statements
were linked to the indicator in question as shown for
example in Table 2. If appropriate, a single universi-
ty sub-attribute could be assigned to multiple dierent
Faculty of Engineering indicators, and multiple univer-
sity sub-attributes could be linked to a single Faculty of
Engineering indicator. If none of the can-do statements
were appropriate, the indicator mapping was left blank.
The three steps in the mapping process were as fol-
lows. First, the preparatory phase: This phase consisted
of various meetings. The rst meeting was informative.
In contrast, the purpose of the second meeting was a
team calibration retreat of two days where various groups
representing Faculty of Engineering met to discuss their
program, their involvement with their program-specic
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81
requirements and the UGAs, and the challenges they
face to the implementation of these. The third meeting
was to draft a working document and identify the working
group and subgroup, as well as tasks for individual mem-
bers. Second, the qualitative analysis phase: Individual
and group analyses were conducted. Initially, two groups
were established: one group carried the mapping from
CEAB to UGAs, and the other group was tasked to do
the mapping of UGAs to CEAB. Each individual in each
group conducted independent mapping exercises; then,
all the individuals met to discuss a standard setting for
each of the mapping of the attributes. Once the work of
each group was nalized (Matrix), the two groups met
to compare results of the mapping exercise. Third, the
quantitative analysis phase: each subgroup within the
groups analyzed their results and provided the analysis
to the other members; aggregate tables were created
and discrepancies amongst evaluators were discussed.
A standard setting process was carried out to ensure the
nal reports of each group met all members’ evaluations.
Both convergences and divergences were document-
ed. Finally, the debrieng and integration phase: Final
mapping tables and aggregate analysis were shared and
comparisons amongst groups were carried out. Final ad-
justments to the mapping were done.
Results and Analysis
When performing the mapping, all Faculty-wide indica-
tors were mapped rst, followed by any program-specif-
ic indicators. In total, 187 engineering indicators were
mapped to the 28 University sub-attributes. Of the en-
gineering indicators, 72 were common to all programs,
and 115 were program-specic across the nine pro-
grams. Mapping the CEAB-GAs to the UGAs produced
a table for each CEAB-GA linking CEAB-GA Faculty of
Engineering indicators to corresponding UGA sub attri-
butes. As a representative example, CEAB-GA Ethics
and Equity was selected. Ethics and Equity intersected
with two UGAs, Ethical Responsibility and Collabora-
tion, as demonstrated in Table 3. The Faculty of Engi-
neering indicators for Ethics and Equity were matched
to the UGA sub-attributes. For example, consider the U
of A indicator for the CEAB-GA Ethics and Equity: Feels
condent in ability to address ethical dilemmas, which is
measured by a survey question at program entrance and
exit. The U of A engineering programs provide a variety
of learning activities and courses intended to develop
student ability to address ethical dilemmas including de-
sign, ethics, safety, and risk management. This indicator
and measurement for Ethics and Equity encompassed
the Ethical Responsibility sub-attributes of global cit-
izenship, community engagement, social and environ-
mental awareness, and professionalism.
Mapping results between CEAB-GAs and UGAs are
summarized as an intensity map in Figure 5. The scale
of the mapping ranges from white, meaning no overlap,
to black, meaning that the four indicators of the UGAs
are fully mapped within one CEAB-GA. It is important to
note that this does not indicate that the reverse is always
true; not all of the indicators of a CEAB-GA are mapped
to one or more UGA. This is especially true when consid-
ering the Design CEAB-GA (4), which three UGA indica-
tors map into completely. There are a number of aspects
in the Design CEAB-GA (4) that extend well beyond that
of the Ethical Responsibility, Critical Thinking, and Cre-
ativity UGA sub-attributes.
The following were the key ndings resulting from
the GA mapping exercise:
First, there is little in the UGAs that relates to the
CEAB-GA for “Knowledge Base,” as evidenced by the
single match indicated in Figure 5. The only link found
was related to the UGAs for “Scholarship,” of which only
a single sub-attribute was able to be mapped. This nd-
ing was not surprising, as the UGAs framework was de-
signed to be broad in order to encompass all university
programs, whereas the indicators dened for the “Knowl-
edge Base” CEAB-GA tend to be targeted toward highly
discipline-specic knowledge.
It was found that no UGAs explicitly dealt with the
use of tools to accomplish a task, which led to limited
mapping opportunities with the “Use of Engineering
Tools” CEAB-GA. One UGAs sub-attribute from each of
CM and CR were mapped, but neither UGA could be fully
aligned. This is an important omission from the UGAs
that should be addressed. The ability to use modern
tools—such as word processing, which could apply to
all, or in some disciplines a focus on specic tools, for
example, musical instruments, artistic tools, and intrave-
nous injections—is a key part of their university experi-
ence. This aspect is shared by students of all faculties
and should be valued by the University.
Another important oversight observed was that none
of the UGAs considered time management, economics,
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82
Table 2
University and CEAB Graduate Attributes Mapping Example
CEAB-GA #10: Ethics and Equity
Faculty of Engineering University
Sub-attribute Indicator Sub-attribute (Can-do Statement)
Awareness of Ethical
Issues
Feels condent in ability to
address ethical dilemmas
1a. Global citizenship (Can consider issues from a global
perspective)
1b. Community engagement (Can consider issues from
the perspective of their impact on the community)
1c. Social and environmental awareness (Can adopt the
perspective of the public good and take into consideration
our embeddedness within society and nature)
1d. Professionalism (Is willing to meet the level of ex-
pertise and deontological expectations of her intended
profession)
Code of Ethics Identies provisions of the
APEGA Code of Ethics
1d. Professionalism (Is willing to meet the level of ex-
pertise and deontological expectations of her intended
profession)
Makes Ethical Choices Makes ethical choices in
complex situations
1a. Global citizenship (Can consider issues from a global
perspective)
1b. Community engagement (Can consider issues from
the perspective of their impact on the community)
1c. Social and environmental awareness (Can adopt the
perspective of the public good and take into consideration
our embeddedness within society and nature)
1d. Professionalism (Is willing to meet the level of ex-
pertise and deontological expectations of her intended
profession)
Awareness of Equity
Issues
Identies situations
containing equity issues
5a. Openness to diversity (Can engage with a diversity of
people (in terms of race, religion, cultures, classes, sex
orientation and appearance)
Awareness of Equity
Issues
Is aware of provisions
within the Alberta Human
Rights, Citizenship and
Multiculturalism Act
5a. Openness to diversity (Can engage with a diversity of
people (in terms of race, religion, cultures, classes, sex
orientation and appearance)
Awareness of Equity
Issues
Feels condent in ability to
address equity
5a. Openness to diversity (Can engage with a diversity of
people (in terms of race, religion, cultures, classes, sex
orientation and appearance)
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83
project management, or nancial literacy (employability
TSA). As a result, there was nothing that could be mapped
to the “Economics and Project Management” CEAB-GA.
It can easily be argued that these attributes are vital to
all university graduates, who will require knowledge and
skills in economics and project management in both
their personal and professional lives, and that an addi-
tional UGA should be added to reect this. In the case of
the medical association requirements (CACMS, 2019),
time management in handling patients is included for
example, however, there was no such equivalent in Law
(FLSC, 2018), but one should expect that lawyers have
sound project and time management and budgeting
skills. In many cases, medicine and law are secondary
degrees, and these skills are acquired prior and expect-
ed to be demonstrated by the graduates. Engineering
and most other undergraduate programs on campuses
are direct entry from high school programs. The UGA
“Communication: Multilingualism” has been interpreted
during this mapping process to include computer lan-
guages and technical drawings. These are important
languages used to accomplish tasks and communicate
ideas within an engineering context. The CEAB does
recognize language courses (such as French, Spanish,
etc.) and they count as complementary studies cours-
es, however being multi- or bilingual is not a require-
ment to complete an undergraduate engineering degree.
As such, there could be no link to multilingualism in a
more conventional sense. However, it should be noted
that multilingualism will not be an engineering learning
outcome or indicator in communication skills. Allowing
students to make their own choice of complementary
studies course is an important principle of the programs,
while programming language skills are inherent to the
professional skills.
An ancillary benet of the mapping process was
that it allowed the Engineering group the opportunity to
further reect upon and rene the current CEAB-GA As-
pects and Indicators being used for assessment. As a
result, a number of potential improvements to the list of
aspects and indicators were identied and recorded for
future consideration and implementation by the aected
engineering programs.
Discussion
During this process, it became evident that, for the suc-
cessful implementation of the UGAs, certain elements
are important for consideration. Training is important for
all individuals involved in the mapping process. Stake-
holder perspectives must be taken into consideration
during the process. The Matrix model (in group, between
Figure 5
Intensity Map of the Overall Overlap in CEAB-GAs and UGAs
8
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84
groups) process (Osserman, 1995) is useful to ensure
that all perspectives are met. To ensure validity and ob-
jectivity, it is important to have two sets of evaluators to
meet those goals: those heavily involved with the pro-
grams (validity), and those at arm’s length that can be
neutral to the process (objectivity).
The mapping process was primarily qualitative in
nature, followed by a tabulation amongst the ve review-
ers in the research team, to better understand the degree
of divergence and overlap of the two sets of attributes.
As the CEAB-GAs are part of the Canadian accredita-
tion process and developed via international agreement
they are not subject to adaptation by a single university.
The processes to change the CEAB-GA institution-spec-
ied sub-attributes, indicators, and assessments are
subject to revision by the U of A Faculty of Engineering
and could be revised as part of the GACIP process. The
UGAs were specied by the U of A and as such could be
revised by the University. In addition, the can-do state-
ments may also be revised as part of a CIP. This does
allow for some tailoring and integration of sub-attributes
and can-do statements at the institution level to reduce
the divergence of the two sets of graduate attributes as
they are embedded in the courses of a program.
It was noted that the UGAs did not cover some of
the items that the CEAB-GAs did, and that the process
used to develop the CEAB-GAs and introduce them into
the accreditation process was lengthy. While the UGAs
present a wider, more exible frame of transferable skills
(demonstrated by the fact that the mapping team was
able to often map one UGA with a few GEAB-GAs),
program-specic GAs target professionally oriented
knowledge and skills. Thus, while the UGAs contribute
to the overall vision for a university graduate as a global
citizen, program-specic GAs ensure their functionality
in their future profession. Moreover, the UGAs present
a set of transferable skills that are applicable across
programs and disciplines, while program-specic GAs
combine some transferable skills that are applicable to
a wide variety of disciplines, in addition to technical
program requirements. These requirements might not
nd their analogue in, or may even be resisted by, other
programs. A good example to this would be the attribute
of problem solving, which is a basic requirement to pro-
grams across the scientic disciplines, but may not be a
necessity for all arts programs. According to Oliver and
Jorre de St. Jorre (2018), the most specied Australian
university-level graduate attributes were: global citizen-
ship, written and oral communication, critical thinking,
problem solving, information literacy, and the ability
to work independently. Of these items, the CEAB-GAs
would address all of them explicitly at the graduate at-
tribute description level with the exception of global
citizenship, which is implicit in ethics and equity. En-
gineering leadership and management programs have
been developing across Canada over the last 10 years,
suggesting this aspect is a part of engineering educa-
tion and work (Jamieson & Donald, 2020). The mapping
analysis also suggests the UGAs continual improvement
processes may need to consider including time manage-
ment, economics, project management, problem solving,
independent work, and nancial literacy as part of the
can-do statements or perhaps adding another attribute.
Oliver and Jorre de St. Jorre (2018) note many of these
items are seen as necessary by employers and are cat-
egorized in their work as Independence or Employability
skills (work under pressure, be exible in the workplace,
meet deadlines, understand business/organization,
leadership, management skills, take responsibility for
personal professional development, demonstrate initia-
tive). Oliver and Jorre de St. Jorre’s main points are that
(a) UGAs should be thought of and incorporated during
the course development process, and (b) they should
be communicated to students early and regularly, which
will provide a better understanding, implementation, and
achievement of the UGAs. Students should understand
what the goals are for higher education and they should
see how the courses they are taking help them make
progress to that end.
O’Connell et al. (2017) provide a list of transfer-
able skills and attributes including: knowledge and un-
derstanding, ethical and professional understandings,
computer-based skills, written and oral communications,
adaptability and exibility, time management and orga-
nizational skills, management and leadership, teamwork
and interpersonal skills, information literacy skills, prob-
lem solving, research skills, and synthesis/creativity.
While this list would nd signicant overlap with the CE-
AB-GA denitions, it would overlap less with the UGAs,
again suggesting further study. This seems to indicate
inclusion of these items in the UGAs and that creatively
thinking about what the graduates will need in the future
would better position them as an employability tool for
graduates in a rapidly changing world. Further, it could
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85
support the role of the UGAs as providing a sense of
who students could become after engaging in a universi-
ty education, how they will benet from this engagement,
and what they will be able to contribute to society. UGAs
should speak to and demonstrate the transformative na-
ture of higher education. This model engages students
with knowledge on the basis of who they are and the
complex or wicked problems before us. It moves high-
er education beyond being student-centred or knowl-
edge-centred to focus on the relations between students
and knowledge (Ashwin, 2020) and the communities and
world they live in.
As the employment of the dialectical method to map
out the UGAs to program specic GAs oers a lucid cri-
tique to each set of graduate attributes, it also brings to
light the importance of the coexistence of the two sets,
as each one of them contributes to a dierent aspect of
higher education outcomes; the UGAs and program-spe-
cic GAs each ensure the graduates’ competence at dif-
ferent skills, both as employable global citizens as well as
professionals. The overlap in the mapping process also
brings to light the possibility of reducing program-specif-
ic requirements to the aspects that do not map out to the
general UGAs to avoid redundancy.
Conclusion and Recommendations
The mapping process carried out for this project was
a timely and illuminating task. The constructive debate
during the dialectical mapping process and result in-
terpretation led to a synthesis of new ideas regarding
graduate attributes, their measurement, their use, their
integration, and their implementation in professional and
general university programs, as well as in the larger uni-
versity context. During the exercise, it became evident
that a continual improvement process for the graduate
attributes is essential to embed the attributes at the
program and course level. This process should include
further constructive debate among stakeholders regard-
ing the characteristics of higher education graduates,
the measurement of such characteristics, and the use of
such measures as metrics for institutional funding deter-
minants and employability criteria. If the graduate attri-
butes are to be used as a means to set institutional goals
for student development and achievement, the attributes
should be reective of the discipline and institutional
identity of the graduates, and not solely of the employ-
ability characteristics or funding metrics. For profession-
al programs like engineering, this may be reected in
the requirements for the practice of the profession. For
more generalized degree programs this may be more
challenging to elucidate but necessary to determine the
appropriate set of graduate attributes reective of stu-
dent development requirements. Consideration should
be given to professional identity of graduates and their
intellectual development including cognitive, aective,
social, and psychomotor development. The purpose of
higher education should be reected in the graduate
attributes and their measurement and not merely be a
measure of the institution’s ability to produce graduates
with the current employability characteristics or funder
metrics. The study also highlighted the need for more
revisions and updates of UGAs by including various
stakeholders who can substantially contribute to the im-
plementation and assessment of UGAs.
There are two further and important items for con-
sideration: it would be of utmost importance for the va-
lidity of the mapping process to include instructor and
student feedback. The success of the graduate attributes
lies in the adoption of the vision of what attributes a pro-
gram graduate should have by both the instructors and
the students. Without a shared vision of the goals of the
program and courses within the program implementa-
tion of the graduate attributes, their measurement, and
their contribution to shaping student development, will
be hollow. Second, the university central administration
must have an active role in the mapping process to in-
form and ensure a concrete implementation of the UGAs
in programs consistent with goals of the institution, as
well as lead implementation buy-in. Unless these stake-
holder groups are actively involved, any attempts to truly
demonstrate student and institutional achievement of
the UGAs will remain elusive.
Thus far, the implication of this study is the gener-
ic UGAs, which will not be sucient to encompass all
programs within a university institution, especially those
of a professional nature and that require federal and/or
provincial accreditations. In such situations, program
administrators must rst abide by the accrediting body
requirements. A concern arises regarding an excessive
program administrative burden with the implementation
and assessment of several sets of graduating attributes
that is inconsistent with the drive to reduce costs. This
project concludes that all graduating attributes must be
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86
implemented within discipline-specic frameworks to
ensure there is sucient disciplinary knowledge, consis-
tency, and limited redundancy, which serves to ensure
the implementation of a meaningful continual improve-
ment process.
Acknowledgements
Oce of the Provost and Vice-President (Academic),
Teaching and Learning Enhancement Fund, University
of Alberta Kule Institute for Interdisciplinary Research
Grant, University of Alberta
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Contact Information
Samira ElAtia
Notes
1 Parker et al. (2019) provide a comprehensive summary
of the Canadian engineering graduate attribute literature
from 2010 to 2017.
2 In this paper and to avoid confusion, we will refer to the
general University Graduate Attributes as (UGAs), and
we will refer to the Canadian Engineering Accreditation
Board attributes as CEAB-GAs.
3 The International Engineering Alliance (IEA) is a
non-prot organization that establishes and enforces
international standards for engineering education to en-
sure quality and mobility.
4 Queen’s University, the University of Calgary, UBC, the
University of Toronto, Dalhousie, and the University of
Guelph (Frank et al., 2011; Kaupp et al., 2012; Kaupp
& Frank, 2016; Stiver et al., 2010; Stiver, 2011), Ryer-
son University (Easa, 2013; Salustri & Neumann, 2016;
Shehata & Schwartz, 2015), Concordia University (Go-
pakumar et al., 2013; Hamou-Lhadj et al., 2015), the Uni-
versity of Manitoba (Seniuk-Cicek et al., 2014; Sepheri,
2013), the University of Alberta (Dew et al., 2013; ElAtia
& Ipperciel, 2015a, 2015b; ElAtia et al., 2016; ElAtia et
al., 2020; Ivey, 2017; Ivey et al., 2018; Parker et al., 2019;
Watson et al., 2018), the University of Victoria (Gwyn,
2016, 2017; Gwyn & Gupta, 2015), and Memorial Univer-
sity (Spracklin-Reid & Fisher, 2012, 2014).
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5 It is worth noting that other engineering schools manage
more than one set of Graduate Attributes.
6 Engineering program and course design using the CE-
AB-GA competency-based performance criteria in a
continual improvement feedback process utilizing a cur-
riculum design process concept map (Hattie, 2009) and
illustrating constructive alignment (Biggs, 1996). Dia-
gram Jamieson (2016).
7 UGAs are widely supported by students and student
unions within the university. The majority of the resis-
tance to the integration of the UGAs comes from univer-
sity professors.
8 UGA: Ethical Responsibility (ER); Scholarship (SC);
Critical Thinking (CT); Communication (CM); Collabora-
tion (CL); Creativity (CR); Condence (CF); CEAB-GA:
Knowledge base in engineering (KB); Problem analysis
(PA); Investigation (IN); Design (DE); Use of Engineering
tools (ET); Individual and team work (TW); Communi-
cation skills (CS); Professionalism (PR); Impact of en-
gineering on society and environment (IS); Ethics and
equity (EE); Economics and project management (EP);
Lifelong learning (LL)
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Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
92
Appendix A
Table A
List of Canadian Engineering Accreditation Board graduate attribute denitions with acronyms – referred to in text at
CEAB-GAs
Term Denition
1. A knowledge base for
engineering (KB)
Demonstrated competence in university level mathematics, natural sciences, engineering
fundamentals, and specialized engineering knowledge appropriate to the program.
2. Problem analysis (PA) An ability to use appropriate knowledge and skills to identify, formulate, analyze, and solve
complex engineering problems in order to reach substantiated conclusions.
3. Investigation (IN) An ability to conduct investigations of complex problems by methods that include appropri-
ate experiments, analysis and interpretation of data, and synthesis of information in order
to reach valid conclusions.
4. Design (DE) An ability to design solutions for complex, open-ended engineering problems and to design
systems, components or processes that meet specied needs with appropriate attention to
health and safety risks, applicable standards, and economic, environmental, cultural and
societal considerations.
5. Use of engineering tools
(ET)
An ability to create, select, apply, adapt, and extend appropriate techniques, resources, and
modern engineering tools to a range of engineering activities, from simple to complex, with
an understanding of the associated limitations.
6. Individual and team work
(TW)
An ability to work eectively as a member and leader in teams, preferably in a multi-disci-
plinary setting.
7. Communication skills (CS) An ability to communicate complex engineering concepts within the profession and with
society at large. Such ability includes reading, writing, speaking and listening, and the abili-
ty to comprehend and write eective reports and design documentation, and to give and
eectively respond to clear instructions.
8. Professionalism (PR) An understanding of the roles and responsibilities of the professional engineer in society,
especially the primary role of protection of the public interest.
9. Impact of engineering on
society and the environ-
ment (IS)
An ability to analyze social and environmental aspects of engineering activities. Such
ability includes an understanding of the interactions that engineering has with the eco-
nomics, social, health, safety, legal, and cultural aspects of society, the uncertainties in the
prediction of such interactions; and the concepts of sustainable design and development
and environmental stewardship.
10. Ethics and equity (EE) An ability to apply professional ethics, accountability, and equity.
11. Economics and project
management (EP)
An ability to appropriately incorporate economics and business practices including project,
risk, and change management into the practice of engineering and to understand their
limitations.
12. Life-long learning (LL) An ability to identify and to address their own educational needs in a changing world in
ways sucient to maintain their competence and to allow them to contribute to the ad-
vancement of knowledge.
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APPENDIX B
Table B
List of Canadian Engineering Accreditation Board graduate attribute aspects and indicators as developed by the
University of Alberta Faculty of Engineering implementation team in conjunction with each program. Mechanical
Engineering is used as an example and discipline specic indicators are highlighted in grey.
1. A Knowledge Base for Engineering
Aspect Indicator
Mathematics Completes a sequence of math courses involving calculus, dierential
equations and linear algebra
Mathematics Self-assessment of knowledge base for mathematics
Chemistry Completes a sequence of physical chemistry courses
Physics Completes a sequence of foundational physics courses
Natural Sciences Self-assessment of knowledge base for natural sciences
Engineering Fundamentals Completes a sequence of foundational engineering courses
Engineering Fundamentals Self-assessment of knowledge base for engineering fundamentals
Specialized Engineering Knowledge Self-assessment of specialized engineering knowledge
Thermal Sciences Applies the principles of thermodynamics to solve multicomponent
power or refrigeration cycles
Solid Mechanics Applies the concepts of strength of materials to analyze failure by:
applied load; or by deection; or due to instability
Fluid Mechanics Apply the extended Bernoulli equation to a ow system that includes
local and distributed losses or pumps/turbines
Mechanics Apply the concepts of kinematics and dynamics to system of rigid
bodies that form a mechanism
Dynamics and Control Apply either root locus or Bode plots to design a lead/lag compensator
Bio Med Apply the basic concepts of solid mechanics to soft or hard tissue
2. Problem Analysis
Aspect Indicator
Understand the Problem Able to state the essential problem to address
Understand the Problem Self-assessment of ability to understand the problem
Assemble Knowledge Assembles the relevant models and formulae
Assemble Knowledge Self-assessment of ability to assemble requisite knowledge to solve
the problem
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Apply Models Applies the appropriate formulae or technique to generate a result
Apply Models Self-assessment of ability to assemble requisite knowledge to solve
the problem
Evaluate Assesses the result for reasonableness and applicability to models
used
Evaluate Self-assessment of ability to solve the problem
3. Investigation
Aspect Indicator
Recognizes Unknowns Identies the unknown information or behavior to solve a problem
Measures Data Employs appropriate techniques to collect data
Analyzes Data Analyzes and interprets data
Analyzes Data Assess data uncertainty and error
Reaches Conclusions Reaches supported conclusions from the investigation and compares
to model or theory
Self-Assessment Self-assessment of ability to apply investigation
4. Design
Aspect Indicator
Requirements Determines appropriate regulatory, legal, environmental, social, and
ethical constraints and sensitivities
Requirements Elicits and articulates project requirements from the client
Creativity Synthesizes plausible solutions
Analysis Analyzes performance of proposed solution
Iteration Recognizes iterative process, rening solution until requirements met
Assessment Assesses impact of solution against social and environmental factors
as appropriate
Assessment Assesses eectiveness of solution against customer's requirements,
as well as impact on social and environmental factors
Self-Assessment Self-assessment of ability to design
5. Use of Engineering Tools
Aspect Indicator
Computation Uses computer programming to solve engineering problems
Intersecting Roadmaps of Graduate Attributes
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Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
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System Description Uses Computer Aided Design (CAD) software to dene complex
structural systems
System Modeling Uses nite numerical methods to numerically solve engineering
problems
Analysis Applies software to analyze thermos-uids or lumped parameter
dynamic models
Measurement Understanding of base measurement tools including one of: pressure,
temperature, length, strain, current and voltage
Self-Assessment Self-assessment of ability to use engineering tools
6. Individual and Team Work
Aspect Indicator
Time Management Completes essential tasks on time with an appropriate amount of
eort
Team work - Roles Understands and performs assigned role
Team work - Responsible Meets expected responsibilities and tasks
Team work - Participates Actively contributes to team discussion and planning
Team work - Respect Respects contributions of other team members
Team work - Member Self-assessment as team member
Team work - Leader Self-assessment as leader
7. Communication Skills
Aspect Indicator
Organized Message Presents information in an organized fashion
Writing Uses proper grammar and punctuation
Writing Uses language eectively
Reading Comprehends written document
Speaking Prepares and delivers an eective oral presentation
Use of Graphics Makes eective use of graphical elements to support message
Self-Assessment Self-assessment of ability to communicate complex engineering
concepts
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
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96
8. Professionalism
Aspect Indicator
Legal Responsibilities Understands responsibilities and consequences set out under EGGP
Act and OHS legislation
Licensure Requirements Understands requirements for licensure in province, across Canada
and in USA
Safety Understands concepts of safety and risk management
Self-Assessment Self-assessment of professionalism
9. Impact of Engineering on Society and Environment
Aspect Indicator
Awareness of the Impacts of Technology
on Society
Completes ITS Elective
Impact Assessment Analyzes environmental impact of proposed engineering project
Impact Assessment Understands concepts of environmental impact in an engineering
context
Sustainable Design Understands concept of sustainability in engineering context
Sustainable Design Designs to meet sustainability criteria
Self-Assessment Self-assessment of awareness of impact of engineering on society
and the environment
10. Ethics and Equity
Aspect Indicator
Awareness of Ethical Issues Feels condent in ability to address ethical dilemmas
Code of Ethics Identies provisions of the APEGA Code of Ethics
Makes Ethical Choices Makes ethical choices in complex situations
Awareness of Equity Issues Identies situations containing equity issues
Awareness of Equity Issues Is aware of provisions within the Alberta Human Rights, Citizenship
and Multiculturalism Act
Awareness of Equity Issues Feels condent in ability to address equity
11. Economics and Project Management
Aspect Indicator
Engineering Economics Completes Engineering Economics required course
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
97
Engineering Economics Self-assessment of ability to incorporate engineering economics into
engineering practice
Economic Assessment Includes economic analysis within design project
Project Management Prepares and follows a project management process
Project Management Feels competent to manage a project
12. Life-Long Learning
Aspect Indicator
Curious Demonstrates an interest in sustaining learning
Able to Assess Needs Develops a research plan identifying information needed
Resourceful Identies and accesses appropriate sources of knowledge/ training
Discriminating Evaluates information sources critically for accuracy and relevancy
Self-Assessment Self-assessment of ability to address learning needs
Table C
Example of engineering graduate attribute mapping table
CEAB-GA #10: Ethics and Equity
Faculty of Engineering University
Sub-attribute Indicator Sub-attribute (Can-do statement)
Awareness of
Ethical Issues
Feels condent in ability to
address ethical dilemmas
1a. Global citizenship (Can consider issues from a global perspective)
1b. Community engagement (Can consider issues from the perspective
of their impact on the community)
1c. Social and environmental awareness (Can adopt the perspective of
the public good and take into consideration our embeddedness within
society and nature)
1d. Professionalism (Is willing to meet the level of expertise and deonto-
logical expectations of her intended profession)
Code of Ethics Identies provisions of the
APEGA Code of Ethics
1d. Professionalism (Is willing to meet the level of expertise and deonto-
logical expectations of her intended profession)
Makes Ethical
Choices
Makes ethical choices in
complex situations
1a. Global citizenship (Can consider issues from a global perspective)
1b. Community engagement (Can consider issues from the perspective
of their impact on the community)
1c. Social and environmental awareness (Can adopt the perspective of
the public good and take into consideration our embeddedness within
society and nature)
1d. Professionalism (Is willing to meet the level of expertise and deonto-
logical expectations of her intended profession)
Intersecting Roadmaps of Graduate Attributes
S. ElAtia, J. P. Carey, M. Jamieson, B. AliBrahim & M. Ivey
Canadian Journal of Higher Education | Revue canadienne d’enseignement supérieur
51:1 (2021)
98
CEAB-GA #10: Ethics and Equity
Faculty of Engineering University
Sub-attribute Indicator Sub-attribute (Can-do statement)
Awareness of
Equity Issues
Identies situations
containing equity issues
5a. Openness to diversity (Can engage with a diversity of people [in
terms of race, religion, cultures, classes, sex orientation and appear-
ance])
Awareness of
Equity Issues
Is aware of provisions
within the Alberta Human
Rights, Citizenship and
Multiculturalism Act
5a. Openness to diversity (Can engage with a diversity of people [in
terms of race, religion, cultures, classes, sex orientation and appear-
ance])
Awareness of
Equity Issues
Feels condent in ability to
address equity
5a. Openness to diversity (Can engage with a diversity of people [in
terms of race, religion, cultures, classes, sex orientation and appear-
ance])