being digital in nature.All degrees at the Faculty of Engineering and Science (ENG) and The Technical Faculty of ITand Design (TECH) at Aalborg University currently incorporate a PBL Competency profile as acompulsory exercise for all students in the second semester of their Masters study. Theseprofiles are intended as a reflective exercise for the students; they are also designed to assiststudents in communicating their overall competence while searching for internships and graduateemployment.The profiles are structured around the Aalborg PBL Competency Framework. This frameworkcontains 48 individual competencies, grouped into four categories: meta-reflective, problem-oriented, interpersonal, and structural. Students are free to choose which of
” option was also available. Thepanelists were also asked to identify the five most-relevant conceptions and rank them. Thereferences for these conceptions of judgment are given by [5-36]. Table 1: Conceptions of Judgment from the Literature 1. Application of one’s knowledge or experience 2. Approximation that achieves reasonableness 3. Assessment of the reasonableness of a solution, assumption, etc. 4. Consideration of societal, ethical, cultural, global, or aesthetic contexts or issues 5. Creativity (within constraints) 6. Critical thinking (i.e., disciplined gathering and use of information to guide action) 7.Decision making (including weighing of issues) amidst complexity and competing demands, objectives, or
International Review of Research in Open and Distributed Learning, 2022.[43] L. Y. Jang and W. C. Liu, "2× 2 Achievement goals and achievement emotions: a cluster analysis of students' motivation," European Journal of Psychology of Education, vol. 27, pp. 59-76, 2012.[44] J. M. Harackiewicz and E. A. Linnenbrink, "Multiple achievement goals and multiple pathways for learning: The agenda and impact of Paul R. Pintrich," Educational psychologist, vol. 40, no. 2, pp. 75-84, 2005.[45] A. J. Elliot and J. M. Harackiewicz, "Approach and avoidance achievement goals and intrinsic motivation: a mediational analysis," Journal of personality and social psychology, vol. 70, no. 3, p. 461, 1996.[46] S. Cassidy
/J.RSER.2016.09.137.[3] M. A. Hannan et al., “Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals,” Energy Reports, vol. 7, pp. 5359–5373, Nov. 2021, doi: 10.1016/J.EGYR.2021.08.172.[4] C. Paten, N. Palousis, K. (Charlie) Hargroves, and M. Smith, “Engineering sustainable solutions: Education program - Putting sustainability as a ‘critical literacy’ into mainstream engineering curricula,” Proceedings of the 2004 International Conference on Engineering Education in Sustainable Development, EESD, 2004.[5] M. Lamere, L. Brodie, A. Nyamapfene, L. Fogg-Rogers, and V. Bakthavatchaalam, “Mapping and Enhancing Sustainability Literacy and Competencies
-Pascual, and L. T. Ko, “Research literature on women of color in undergraduate engineering education: A systematic thematic synthesis,” Journal of Engineering Education, vol. 109, no. 3, pp. 581–615, 2020, doi: 10.1002/jee.20345.[15] J. Gambatese, A. Karakhan, and D. Simmons, “Workforce Sustainability Report,” CPWR- The Center for Construction Research and Training, Jan. 2019.[16] I. Gutu, D. T. Agheorghiesei, and A. Tugui, “Assessment of a Workforce Sustainability Tool through Leadership and Digitalization,” Int J Environ Res Public Health, vol. 20, no. 2, Art. no. 2, Jan. 2023, doi: 10.3390/ijerph20021360.[17] D. E. Polkinghorne, “Narrative configuration in qualitative analysis,” International Journal of Qualitative
personally meaningful experiences.Learning complex concepts in engineering includes not only the utility of formalisms but requiresdeeper understanding of their applications for designing and determining solutions to problems. For teaching, instructors can leverage body-based resources such as gestures and speech tosimulate experiences that embody learners’ understandings. However, when students pursueadditional epistemologies, such as Embodied cognition, a theoretical framework that contendshuman cognition arises from manipulation—physical, virtual, or simulated—of objects situated inour environment and filtered through our body’s perceptual systems [3-5]. Grounded cognition [6]posits that cognition does not merely arise from computations of
rely heavily on the admission process toidentify the most academically successful and capable students. Consequently, many institutionsbelieve graduate-level attrition (i.e., early departure from a student’s intended graduate degree) isnot a critical issue and occurs due to student’s “choice” not to persist [1], [2]. This premise suggeststhat doctoral attrition is not a problem with the academic system but with the students themselves.However, scholarship states that for institutions to be responsible for doctoral attrition, “standardsrates across time in the system should prevail [3, p.21].” With this in mind, graduate educationdata that goes back to the 1960s has shown a consistent pattern of doctoral attrition with a slightincrease over
: 10.18260/1-2-- 47664.[7] “Advancing by Design - The Rose-Hulman Strategic Plan.” [Online]. Available: https://www.rose-hulman.edu/about-us/history-and-leadership/strategic-plan/index.html[8] S. Rahimifard and H. Trollman, “UN Sustainable Development Goals: an engineering perspective,” Int. J. Sustain. Eng., vol. 11, no. 1, pp. 1–3, Jan. 2018, doi: 10.1080/19397038.2018.1434985.[9] The Lemelson Foundation, “The Engineering for One Planet Framework: Essential Sustainability-focused Learning Outcomes for Engineering Education,” The Lemelson Foundation, Portland, Oregon, USA, 2022.[10] Manitoba Council for International Cooperation, “Sustainable Foundations: A Guide for Teaching the Sustainable Development Goals.” 2020.[11] J. O
(SABER), “What matters for workforce development: A framework and tool for analysis,” 6, Apr. 2013.[5] S. Sheppard, A. Colby, K. Macatangay, and W. Sullivan, “What is engineering practice?,” International Journal of Engineering Education, vol. 22, no. 3, p. 429, 2006.[6] J. Trevelyan, “A framework for understanding engineering practice,” in 2008 Annual Conference & Exposition Proceedings, Pittsburgh, Pennsylvania: ASEE Conferences, Jun. 2008, p. 13.42.1-13.42.21. doi: 10.18260/1-2--3319.[7] S. Sheppard et al., “Exploring the engineering student experience: Findings from the academic pathways of people learning engineering survey (APPLES).,” Center for the Advancement of Engineering Education (NJ1), 2010, Accessed: Jan
.[12] A. C. Tricco et al., “PRISMA extension for Scoping Reviews (PRISMA-ScR): Checklistand explanation,” Ann. Intern. Med., vol. 169, no. 7, pp. 467–473, 2018.[13] M. S. Hosseini, F. Jahanshahlou, M. A. Akbarzadeh, M. Zarei, and Y. Vaez-Gharamaleki,"Formulating research questions for evidence-based studies," J. Med. Surg. Public Health, vol. 2,p. 100046, 2024.[14] M. L. McHugh, "Interrater reliability: the kappa statistic," Biochem. Med., vol. 22, no. 3, pp.276-282, 2012.[15] P. Hanegraaf, A. Wondimu, J. J. Mosselman, R. De Jong, S. Abogunrin, L. Queiros, ... andJ. Van Der Schans, "Inter-reviewer reliability of human literature reviewing and implications forthe introduction of machine-assisted systematic reviews: a mixed-methods review," BMJ
solar panels were connected in parallel to maximize current output,meeting the load requirements of the system. The parallel configuration ensures that even if onepanel experiences a drop in performance due to shading or other environmental factors, the overallsystem output remains stable, as shown in Figure 5. The technical specifications for these panelsare listed in Table 3. Table 3: Solar Panel Specifications Surface Area 66 cm2 Maximum Power 1W Operating Current 0.1666 A Working Voltage 6VBasic Power
these constructs are central to meeting the aims of broadeningparticipation. Innovative outcomes hinge on inclusivity [1], [2], [3] and forming, but notsupporting inclusion can negatively impact learning [7]. In this study, we aimed to explore theutility of team safety and closeness in upper division engineering and computer science courses,considering how these ideas might help instructors support teams. Specifically, we posedresearch questions about the ways that social network analysis (SNA) might reveal usefulinformation about team dynamics: • Across the two courses, how do teams vary in their closeness and safety? • How does connectedness vary across stable versus shifting-teams approaches?FrameworkCloseness in teams improves
Paper ID #10019Building Industry-Academia Partnerships that Foster Organizational Learn-ing ModelsDr. Soma Chakrabarti, University of Kansas Dr. Soma Chakrabarti is the director of Center for Engineering and Interdisciplinary Professional Edu- cation and an associate director of the Continuing Education Division at the University of Kansas. She provides strategic direction and programmatic leadership to engineering and interdisciplinary professional programs, including aerospace, engineering management, engineering technology, bioengineering and in- dustrial engineering. She also directs the Center for International
Learning (PjBL), and the Scholarship of Teaching and Learning (SoTL). She is also a Design Thinking instructor and actively organize Service Learning nationally and internationally. She has gained recognition for her contributions, receiving the IEEE Humanitarian Technologies Board-IEEE SIGHT Special Interest Group of Humanitarian Activities, the UTM-Excellent Service Award, the FKE-Excellent Service Award, the FKE-Teaching Award, the UTM-Knowledge Sharing Award, the UTM-Creative Arts Award, the UTM-Publication Award in Indexed Journals, the FKE-Community Service-Learning Award, the UTM-Blended Learning Awards, the Innovation in Teaching and Learning Awards from national and international exhibitions, and the Japan-Asia
Paper ID #48945Transforming a Project-based Course: Learning Outcomes Assessment andEvaluation for Becoming a Professional EngineerCarolina L´opez, Pontificia Universidad Catholica de Chile Carolina L´opez is the Continuous Quality Improvement Coordinator at Pontificia Universidad Catolica ´ de Chile (PUC-Chile) at the Engineering School in Pontificia Universidad Catolica de Chile (PUC-Chile). Carolina received an MA in Social Sciences from the Universidad de Chile.Gabriel Astudillo, Pontificia Universidad Catolica de Chile Engineering Education Division and Computer Science Department, Pontificia Universidad Catolica de
analysis of the sub dimensions that makeup overalladaptability.BackgroundChanges in teaching are needed to align with best practices, keep up with national needs, andrespond to unpredictable changes in ways of life, such as disruptions to educational systems.Some stakeholders of engineering education have consistently expressed the need forengineering education to align with the level of sophistication and unpredictability that industriesdeal with when solving societal problems [1], [2], [3]. A similar sentiment has been echoed byindustry representatives and government agencies who have gone a step further and articulatedthe changes needed in engineering education to meet the needs of professional practice [4].ABET [5] has also made changes to the
and cluster context. Cluster Cluster Name Cluster Context Cluster PDs Comp. (out of (%) * 10) ** 1 Providing This cluster involves providing technical input 2 3 technical input by evaluating the accuracy and validity of results, to support informed decision making. This includes determining the accuracy and validity of results to inform reporting in the workplace
seek to develop environments andpractices to foster adaptive strategies (e.g., reflection to modify study habits), includingunderstanding students’ self-reported motivation. SRL and motivation produce a reciprocalrelationship that should be further studied because they provide insights into the internal (e.g.,emotions) and external (e.g., pedagogical practices) factors of a student’s learning [3]-[4].Theoretical FrameworksIn order to understand student learning in fundamental undergraduate engineering courses, wefocus our research on SRL, which is a cyclical process in which a student gains the skillsnecessary to learn independently and interdependently [3]. The pedagogical practices used areconsidered external factors that influence how a
. Meagan R. Kendall is a founding member of the Department of Engineering Education and Leadership. With a background in both engineering education and design thinking, her research focuses on how Latinx students develop identities as engineers and navigate moments of identity interference, student and faculty engineering leadership development through the Contextual Engineering Leadership Development framework, and promoting student motivation. Dr. Kendall is the Past Chair of the Engineering Leadership Development Division of ASEE.Dr. Alexandra Coso Strong, Cornell University As an associate professor in the School of Chemical and Biomolecular Engineering and the Systems Engineering Program at Cornell University, Dr
date ranged from within the next 3 months to the next two years. Three ofthe participants had graduated recently.Table 1: Participant demographics Pseudonym Gender Ethnicity First Age AES earned Transfer Institution generation from MWC Jake Man White Yes 32 Yes Large Public R2 Emilia Woman White No 22 Yes Large Public R1 Alan Man White No 21 Yes Large Public R2 Bruno Man Latinx Yes 22 Yes Large Public R1 Abe Man White
supporting students that do not getinto their preferred major.Theme 3: Students consider how they can engage with their first-choice major-related interests& goals without being in the majorMany participants identified that even if they could not major in a specific type of engineering,they could still engage with that engineering type in ways outside of their chosen major. Someparticipants talked about how they could accept a different engineering major but still be able totake technical electives in their first-choice major to gain experience in it. Another participantdiscussed how the two majors were “the same thing, but with a different name,” allowing themto focus on overlapping skills between their preferred major and actual major. This
industry sponsors fund her research. Her research potential and the implication of her work are ©American Society for Engineering Education, 2025 Paper ID #46608recognized through national and international awards, including the 2023 NSTA/NARST Research WorthReading award for her publication in the Journal of Research in Science Teaching, 2023 New FacultyFellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant awardby the ERM Division, ASEE, and 2020 outstanding researcher award by the School of EngineeringEducation, Purdue University. Dr. Anwar has over 20 years of teaching experience at various
tabletop microgrid demonstration project, it is imperative to establish acomprehensive understanding of the key concepts and components involved. Microgrid Concept:A microgrid represents a sophisticated energy distribution system designed to enhance thereliability, resiliency, and efficiency of power supply within a localized area. The concept ofmicrogrid was initially presented in the technical literature by Lasseter [1-3] as a solution tointegrate distributed energy resources, including Energy Storage Systems (ESSs) andcontrolled loads reliably. There are a number of definitions of microgrids in the engineeringliterature [3-4]. The basic definition of a microgrid by the U.S. Department of Energy is “Agroup of interconnected loads and
programs tocombat this status quo and to retain traditionally underserved populations of students [12].Regulatory bodies are transforming student outcomes as emergent research continues todemonstrate this connection between technical and social topic areas and the need in industry forstudent proficiency in both.Accreditation bodies are progressively requiring more effectiveness in the integration of socialand technical solution spaces as programmatic outcomes for students. It’s been over 15 yearssince ABET included, “the ability to: (1) function on multidisciplinary teams, (2) communicateeffectively, and (3) understand professional and ethical responsibility” in their criteria [13, pg.227]. Expectations for improving student abilities in these
for Q&A to allow students to add pictures (so they canmeet each other) and make it easier to search.Bibliography[1] Brandao J; Carvalh V. “Game Quiz”-Implementing a serious game platform based in quizgames for the teaching of information and technology. 11th International Conference IEEEremote engineering and virtual instrumentation 2014[2] MATLAB and Statistics Toolbox Release 2012b, The MathWorks, Inc., Natick,Massachusetts, United States.[3] Pensky, M. (2001). “Digital Natives, digital immigrants.” On the Horizon. 9 (5), P. 1.[4] Bradford, M.; Muntean, C.; Pathak P. “An analysis of flip-classroom pedagogy in first yearundergraduate mathematics for computing” 2014 IEEE Frontiers in education conference.[5] Paturusi, S. ;Chisaki. Y
are all measured for completedcapstone projects. Out of five SLOs, assessment results for SLO3 entitled as “Apply written, oral,and graphical communication in broadly defined technical and non-technical environments; andan ability to identify and use appropriate technical literature ” is shown on Table 3. The full andcompleted assessment for all SLOs will be available after ETEC 4399 at the end of Spring 2025semester.Table 3. Sample assessment selected for SLO3 Key Performance Unsatisfactory Developing Satisfactory Exemplar Indicators < 60% 60-69% 70-79% y ≥ 80% a) Use appropriate context, conventions, and mechanics (Pre- 0% 0
] Komerath, N.M., "Flow Imaging and Control Laboratory: An Experiment in IterativeLearning". Journal of Engineering Education, 1994, Vol. 1, p. 737-743.[6] Komerath, N.M., "Progress Towards Iterative Learning". Annual Conference Proceedings ofthe American Society of Engineering Education, Session 3536, paper No. 2, June 1995[7] Smith, M.J., Komerath, N.M., Aerospace Engineering: Integrator for Cross-DisciplinaryLearning”. Proceedings of the ASEE Annual Conference, Albuquerque, NM, June 2001.[8] Komerath, N.M., Smith, M.J., “Integrated Knowledge Resources for Cross-DisciplinaryLearning”. Session D-7, Proceedings of ICEE 2001, the International Conference on EngineeringEducation, Trondheim, Norway, August 2001. International Network on Engineering
Outstanding Research Publication Award by the American Educational Research Association (AERA) Division I, the 2022 ASEE ERM Apprentice Faculty Grant, and the 2018 ASEE/IEEE Frontiers in Education Best Diversity Paper Award. ©American Society for Engineering Education, 2025 Who I am now and who I hope to be: Examining when Latinx students actualize their engineering identity and how that supports their persistenceIntroductionThis empirical research brief explores how the different operationalizations of Latinx students’engineering identity affect persistence beliefs when considering the mediation effect of classroombelonging. Prior work has examined the relationship between engineering identity
doctoral studentschanging research labs during their academic programs in engineering graduate education.Recent research has demonstrated over 70% of engineering doctoral students contemplateleaving their programs without a doctoral degree [1]. Depending on the discipline, 40-60% ofengineering doctoral students actually depart due to conflicts with advisors and peers, financialor academic difficulties, and personal or family concerns [2]. Some students remain in theirdoctoral programs by changing research labs, advisors, programs, or even universities [3], [4].While changing research labs can help retain partially trained and qualified students, theassociated individual costs, programmatic barriers, and advisor conflicts complicate the
continent.KEYWORDSself-efficacy, self-determination, agency, Africa, first-yearIntroductionDue to the dominance of rote pedagogies in many pre-tertiary classrooms, African studentsentering a university engineering program may tend to have had limited design-buildexperiences. This can affect their academic prospects, but perhaps more importantly it can builda negative perception of their capabilities in creating innovations and developing technicalsolutions.A first-semester engineering course, Introduction to Engineering, has been seen to have animpact in countering this perception in students at Ashesi University in Ghana [1] [2]. Thecourse’s modules which include machine shop skills-building sessions and project-basedlearning offer causality for statistically