new hands-on multidisciplinary introduction to engineering course, a unique introduction to engineering MOOC, and another MOOC focused on exploring global challenges from an interdisciplinary perspective. She is interested in curricular and co-curricular experiences that broaden students’ perspectives and enhance student learning, and values students’ use of Digital Portfo- lios to reflect on and showcase their accomplishments. Amy earned her Master’s degree in Biomedical Engineering from Arizona State University (ASU), and is currently pursuing her PhD in Engineering Education Systems and Design. American c Society for Engineering Education, 2021 Work
torobotics, that leads to a two-pronged approach: 1) Supply talent to a growing industry, and 2)Start enterprises (ranging from projects to products to companies) to grow the industry, that is,both entrepreneurs and intrapreneurs.2.2. PROGRAM EDUCATIONAL OBJECTIVESProgram Educational Objectives (PEOs) define the context and the content of the program. OurPEOs have evolved to better reflect current educational terminology, but the core ideas remainunchanged. The PEOs are that graduates of the Robotics Engineering program are expected to: 1. Successfully a. attain professional careers in robotics and related industries, academia, and government; b. expand human knowledge through research and development
demos. 4. Subsystem-level and system-level demos: it was expected that there would be more than one integrated demos of two or more subsystems. 5. Evaluation plan and measured results: a list of specific metrics, at least one test procedure for each metric, desired levels for each metric, and measured levels for each metric 6. Delivery and hand-off: a major point of this whole collaboration was to create a system that would be handed off to L&IT to be polished, deployed, and maintained over time. An official hand-off meeting with discussion and questions was a major milestone for the end of the project. 7. Reflection on the process and productEach of the project milestones was evaluated by a rubric
taken moments before a specific incident to draw conclusionsregarding the location, posture, and conduct of various passengers on a boat. One specificphotograph was used to determine the likely throttle position. However, this information wasobtained from a reflection off a pair of sunglasses (Fig. 3). Students were required to obtain aphotograph from any source that contained a hidden image revealing an interesting fact about thephotograph.Figure 3: Photograph presented during the marine engineering lecture illustrating a hidden imagereflected off a pair of sunglasses. The image on the right show a prop that was used in maritimeaccident reconstruction.The opinions presented during the lectures illustrated that conclusions drawn from analyses
Introduce project!! template Choose Semester Research Initial References, PowerPoint Limitations or Bias in Individual reflection on Grand Group Discussion on
B is less a reflection ofhighly self-determinant engineering degrees and more a reflection of less curricular choice acrossthe board at this institution. This trend is perhaps not surprising considering that University B isa technically focused institution, with more than 90% of the school’s undergraduate populationenrolled in engineering degree programs.University CUniversity C is a private, Master’s University (large program) 11 with a 2013 undergraduateuniversity population of approximately 4,900 students and a full-time undergraduate engineeringpopulation of approximately 800 students. Page 26.1512.10Engineering degree program Choice
multidisciplinary project presented in this paper brings together the fields of structuralengineering and computer science to address an existing shortcoming in seismic reconnaissance.Presently, expert engineers are required to manually filter and tag post-earthquake images ofdamaged civil infrastructure (acquired from engineering inspection teams or other formal/socialmedia platforms); the collaborative research team is attempting to automate these time intensiveand technically challenging tasks by developing a robust deep learning (DL) algorithm.The research team is based out of California Polytechnic State University – San Luis Obispo, apredominantly undergraduate public university located on the West Coast. As a reflection of thisacademic environment
students only) Final presentation I/T 5 Final report T 30 Project portfolio T 5Weekly project reviews are shown above to reflect only 10% of the total grade but these reviewsactually highly influenced the teams’ total scores in many ways. During these reviews the teamswere required to demonstrate time, task and personnel management through the use of projectmanagement tools, specifically a Work Breakdown Structure, Gantt chart, and a LinearResponsibility Chart. Project progress had to be demonstrated through a live demonstration of aPercentage Complete Matrix. In addition to the
participants are still on campus. For teachers, it is very difficult tocompete for attention with their students and their training requirements during the academicyear. For undergraduate students who are not on campus, the situation is very similar. In asimilar fashion, information needed for annual reports should be collected from participantswhile on campus. Information required from the participants after leaving the campus should berequested early. PIs need to be prepared to have to request this information repeatedly as well.Dissemination: the complete impact of a research experience program can truly be reflected bypaying close attention to dissemination. Scholarly dissemination for the research experience sitesis different than other research
deeply in graduate education,interdisciplinary learning has not been highly reflected or cultivated in engineering educationcurricula [1]. This lack of acknowledgment may be attributed to the historical exclusion ofinterdisciplinary ways of being and thinking across the disciplines, which also limits how studentssee themselves as engineers. Historical perspectives within engineering education include thosethat “institutionalize cultural and epistemic injustice” by excluding views that deviate from thedominant ways of thinking in engineering [2, p. 4]. Riley and Lambrinidou [2] expressed how thisapproach to educating engineers may result in engineers who do not feel they fit into the mold ofa stereotypical engineer, which emphasizes technical
uninteresting. The central concept which I seek to convey tostudents is the realization that All science was new at some point.With the vast attention to detail in many engineering classrooms, this truism is easily forgotten.This is reflected in the often omission of historical context of topics in both engineering textsand lecture halls. Some texts1 make attempts to provide brief sketches of famous scientists whomade fundamental contributions to the discipline, yet these descriptions are often superficial incontent and rarely enter discussion in the classroom. The proposed course will use excerpts fromthe original publications written by the magnates of science and mathematics who have madefundamental contributions to modern science. Since this course
evaluation included daily workshop reflections and a debriefingsession. At the end of each day of the summer workshops, the teachers were asked to discuss to thefollowing questions: 1) What have you learned in today's workshop? 2) What questions do you haveconcerning the content that was presented? and 3) Is there any information that was discussed that youwould like to know more about? The teachers' responses to these questions were used to prepare the nextdays' activities. An anonymous Keep/Quit/Start survey using 3x5 card was employed twice during theweek, as well. For the summative evaluations, participant questionnaires and pretest/posttest results havebeen used. For the previous workshops, the pretest/posttest results have indicated an
interest is reflected in the student body, and so, the primaryinvestigators for this particular project saw this as an excellent opportunity to create a researchproject that would be both academically useful, intellectually interesting, and have popularinterest based on these technologies.II. MURI Project Process and Assembled TeamThe process of MURI funded projects starts by accepting proposals from IUPUI campuses thatrequire different discipline backgrounds. After the reviewing process, the MURI screeningcommittee selects the best 8 to 10 proposals per semester for funding. The selection criterion isbased on the multidisciplinary aspects of the research team, the pre-requisite materials requiredby students, the clarity and values of the research
, at the same time,always students, and modules that reflect rapid technological evolution can be plugged in asappropriate” (Allenby 2011, p. 4).MethodsLiterature review and project selection The authors began this research by conducting an in-depth review of psychology andbehavioral science literature to determine common cognitive barriers and biases that impactdecisions. A useful codex (Benson 2016) was found that groups 175 biases into four categories:too much information, not enough meaning, need to act fast, and what to remember. Using thisand similar lists as a starting point, the relevant literature was compiled into an annotatedbibliography of over 25 seminal works in the field involving recognized cognitive barriers torational
labeled emphasis). Accreditationwas renewed in 1994-95. In 1995, the current School of Engineering and Computer Science wasestablished, with its two units: the Department of Computer Science and the Department ofEngineering.Forming Options within the Initial ProgramGradually, as the number and strength of the engineering program faculty grew and the studentenrollment and course selection increased, there developed a greater identification of theprogram and its students (and faculty) with the two options. Continued development of the twooptions was influenced by the engineering profession through alumni and employers andconsiderations such as those reflected by the ABET general and program accreditation criteria.In the year before requesting the
, and Chin An Tan, “Achievement of Course Leaning Objectives: An Assessment Tool That Promotes Faculty Involvement,” Proceedings of the ASEE Annual Conference, 2003.6. King, Franklin G. and Shamsuddin Ilias, “Imbedding Assessment and Achievement of Course Learning Objectives with Periodic Reflection,” Proceedings of the ASEE Annual Conference, 2003. Page 11.794.6 Appendix A: Ethics Questions - PretestPlease answer the following questions by placing the letter corresponding to you choice in the blank beside the number._____1. You miss a day of work because you have partied
, specifically models, to describe how somethingworks.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.0648316. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.BibliographyAngelo, T. A. & Cross, K.P. (1993). Classroom assessment techniques: A handbook for college teachers. San Francisco, CA: Jossey-Bass. Page 25.513.7Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn. Washington, D.C.: National Academy
capable of occupying more demanding positions than B.S.graduates, such as working more at the “systems” level than at the “component” level.Ultimately, we settled on preparation for leadership as a key concept for the M.S. program. Asmaster engineers, graduates should be able to lead projects and teams, demonstrating bothtechnical and managerial competence. As potential Ph.D. candidates, graduates should be readyto conduct state-of-the-art research. This lead naturally to the program goal: • The goal of the Master of Science program in Robotics Engineering is to prepare men and women for technical leadership in the robotics industry and research in robotics.2.2. Task 5: ObjectivesThe program’s objectives reflect the depth and breadth
development certificate courses to help them stay current and upgrade theirskills. The Center provides access to space, expertise and equipment to local biotech companiesand serves as a platform for innovation and institutional collaboration.IntroductionThe U. S Department of Labor has identified Biotechnology as one of the high profile growthindustries in the nation. The state of Texas has also identified Biotechnology as one of the sixprimary clusters for Texas. However, despite significant strengths Texas has comparatively fewcompanies working in these areas. This is reflected in the relatively small workforce in Texas, Page 15.268.2about 10,000
done in association with this framework. Students’ artifactsare the primary source for evaluation. Reflective essays will also be required at the end of theproject. In addition the teamwork and communication aspects are assessed through existingassessments9.Rubric development is an iterative process involving the faculty advising the multi-disciplinary Page 22.1278.11team, together with the input of systems engineering faculty members with extensive industrialexperience in the systems field. This is to ensure that the learning objectives are appropriatelyaddressed and that the rubrics are constructed to effectively and reliably capture the range
University of Illinois, a Professor ofAgricultural Engineering at Makerere University in Uganda, and a Professor of Social Work atNational Yang-Ming University, Taiwan.The series concluded with an informal session that allowed participants to reflect on previousconversations with the group of panelists (see below). Total engagement among the roundtableswas 79 non-panel participants, and the ratio of faculty to students was roughly 50 percent ofeach. Additional faculty and students could view the forum sessions afterward by linking tovideos of each roundtable off the Working Group’s website.The Working Group honed the topics of the forum by developing a set of three questions forpanelist discussion that would be posed in each roundtable. The goal was
electrical expertise needed in such settings? We brainstormed a collection oftopics most important for a student to achieve the concentration objective. Thebrainstormed topics were organized using a mind mapping technique that provides ahierarchical structure to the collection. After generating an initial collection, we held a Page 12.590.7group discussion with members of our department's industrial advisory board to findomissions and to refine the emphasis in the topic areas. As the curriculum has beendeveloped, we have also restructured the collection to provide detail and reflect commonelements between topics. The mind map with the current set of topics
a graduation requirement to take a certain number of multi-disciplinary credits. G. Co-op / Internship • Institute a required coop/internship for every graduate. program • Must reflect on importance of multi-disciplinary skills observed in others or acquired.The evaluation matrix shown in Table 2 displays a summary of the advisory team’sevaluations. The current ad hoc system (Alternative A) was held as a baseline, and eachalternative was then evaluated relative to the baseline. The scoring system reflects the levelof agreement/disagreement of the advisory team, as indicated in the Table note. One of thealternatives
and the progress of the team. Reflection on individual and team process/assessment: An awareness of one’s own strengths and weaknesses in the team process as well as an awareness of the effectiveness of the team process and how it might be improved. Empathy for diverse perspectives: True awareness of the priorities and constraints inherent in other disciplines represented on the team and acceptance of the validity and value of personal differences in approaching a problem. Planning/organization: An understanding of how to manage one’s own time and also how to contribute to
development an autonomous and reflective practitioner with social awareness of the impact of engineering practice; and Ü The development of skills for life-long learning3.The subject design was developed in the context of engineering technology. It was taught notas fundamental science but an engineering science based on the fundamental engineeringprinciples of conservation of mass and energy. The subject syllabus design was to, hopefully,embody the kind of epistemological questions that arise within a discipline of knowledge.These were transformed into a sequence of statements that defined the subject (see table 1They were:• Fundamental Science. Fundamental chemical principles were introduced in the first two-three hours of
. Divergent inquiry by contrast “often seems to conflict with theprinciples and values that are at the core of the predominantly deterministic, engineering science Page 11.359.3approach.”10 These observations are reflected in the outcome of the fall 2003 and 2004 offeringsof the Sophomore Engineering Clinic, which are described in the next section.The Hoistinator ProjectIn the fall 2003 and fall 2004 semesters, the semester-long project was a crane design projectcalled the Hoistinator.11 This section describes the project itself and discusses outcomes fromthese first two offerings of the project.The student teams were provided with a substructure and
instructor hadnever taught a course in “Cognition and language,” which was ranked fourth in terms ofusefulness be respondents. While far from definitive, such factors might support the idea that theperceived usefulness of a workshop reflects its connection to the focus of the related REUprogram vs. instructor familiarity with teaching the related topic.Prospects for Future ResearchWhile the ideas noted here are interesting in terms of a pilot study, more work needs to be doneto determine how effective such workshops are within the context of an REU program. 9Similarly, collecting and analyzing more data over longer periods of time is essential
working in industry she completed a Ph.D. is in Interdisciplinary Engineering with a specific focus on engineering education from Texas A&M University. Her research areas of focus are faculty perspectives and growth through curriculum design and redesign, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Dr. Raymundo Arr´oyave, Texas A&M University Dr. Arroyave is a Professor in the Department of Materials Science and Engineering. He received his Ph. D. degree in Materials Science from the Massachusetts Institute of Technology. His teaching inter- ests include undergraduate courses on materials science and numerical methods and
the cross-disciplinary practice model wereapplicable in the undergraduate context. The pilot study also confirmed that collecting dataduring the team process would provide a deeper, more detailed picture of how undergraduatesdevelop as cross-disciplinary team members compared to a retrospective approach. Therefore,my dissertation work uses a real-time approach to collecting data—that is, I utilized weeklyobservations of the team, regular, written reflections by each team member, and periodicindividual interviews with student team members throughout one semester. This real-timemethod, common in ethnographic research,4 provides a rich understanding of how undergraduatestudents develop as cross-disciplinary team members during a cross
outcomes for classes, only competencies acquired by students are reflected. • Lifelong learning skills: the ability to curate learning paths throughout their academic career help students develop skills for ongoing learning.15There are challenges in the adoption of CBE. The lack of a unified model allows institutions totailor the CBE framework to their individual needs. At the same time, this ambiguity requiresfaculty and program designers to start from point zero, thus resulting in obstacles to CBEadoption within the institution. In this paper, we will describe the path we have taken, challengesmet, and lessons learned when designing a competency-based transdisciplinary undergraduateprogram.Program BackgroundThe Transdisciplinary