centered on a clinical problem seeking proposedsolutions. Post-case homework was a written reflection of about 1000 words describing theirunderstanding of the problem and their proposed initial solutions. These written assignments andtheir attendance were used to calculate a final grade.Clinical correlations in biomedical engineering enable synthesis of basic engineering conceptsaround applications in medical practice. Through the course, students draw upon prior trainingin biophysics, anatomic structure and function, and mathematical modeling of physiologicsystems in a weekly case-based critical care scenario. Blending engineering and clinicalconcepts in this fashion expands student medical expertise. This eight-week course featuredcritical care
students’ ability to thrive as humans and potential future engineers? What does it take tobalance technology with authenticity? The purpose of this paper is to provide readers with a frontrow seat to one educators’ reflection on her evolving understanding of the nuances ofdetermining when technology in engineering education can be liberatory and enhance humanflourishing using current literature as well as her positionality and diverse experiences in thefield of education. Readers should be able to engage with key questions for reflecting on therelationship between human flourishing and technology integration, consider how to supportengineering educators’ development of judgment for technology integration, and take anopportunity to reflect on their
typically follow the guidelines for a publication that is closely relatedto their project. Additionally, the professional advisors from industry with whom they work willsupport and enforce the writing conventions that are most appropriate to the design project.Outcome #6 - Cultivate a reflective mindset for analyzing writing processes and constructing plans for subsequent writing through assigned meaningful reflection on writing practices and experiences.The final outcome, focused on reflection, is intended to support learning transfer intoprofessional settings. At the end of the Capstone Sequence, students should have the ability todeliver, present, and communicate effectively an advanced ME design process. They should
came to understand the unique strengths of each organization as well as thestrengths and needs of each student. This led to a robust creation of various assistivetechnologies for other vocational projects including additional artwork opportunities and mealpreparation. 2Collaborative Process for Capacity BuildingOur collaborative capacity building process is iterative and team-based. Indeed, the peer-to-peeraspect of the effort reflects “equal privilege” at every step of the way. There are essentially 5major steps in the process: 1. Identify the assistive technology (AT) need 2. Identify a stakeholder within each organization as a point
(Comprehensive Assessment of Team Member Effectiveness) software. 27 Groups are built byteaming students based on both scheduling and work/learning style preferences. After finishingthe series of sandbox-related activities for introducing the EM competency techniques presentedin this paper, students complete both reflective and peer evaluations using CATME. This isfollowed by a SWOT analysis that is first performed individually and then discussed collectively.This analysis allows the team to collectively examine their strengths and weaknesses, evaluatingthe extent to which they work well together as a team. An updated SWOT Report documentingthese discussions is then submitted to the instructor for review and possible intervention ifwarranted. These
efficient technique, and also provides more detailedinformation. Figure 13 is a finite element model of a beam supported by elastic springs usingNASTRAN/PATRAN. In the model of figure 12, the properties reflect the properties used inexamples 1 and 2.The section properties used for the beam of the model of figure 13 is shown in figure 12. Thedimensions shown in figure 12 are in inches. The area moment of inertia for the principle axis ifthe I-beam of figure 12 calculated by PATRAN 21.41 in4. Figure 12: section properties of the I-beam of the model of figure 13 © American Society for Engineering Education, 2022 Page 11 of 16Figure 13: Finite
(“Women,” “Non-Binary,”“Black or African American,” “Hispanic or Latino/a,” “Asian, American Indian or AlaskaNative, Middle Eastern, or Native Hawaiian or other Pacific Islander” (Asian/other for a shortversion), “LGBQT,” “Disabilities,” and “First Generation”). We then compared the DI with aMinority Index (MI), which only reflects the ratio of “Non-White American male” members tothe total number of members but exhibits poor representation for diversity when teams areconformed mainly by minority representatives. We obtained data by instructor observation (nosurveys taken at this time) from 69 self-selected teams that performed 37 technical projects and101 outreach projects in eight junior/senior chemical engineering courses. Results show that
Copyright © American Society for Engineering Education 5summarizes soft skill requirements developed by engineering and non-engineering professors tobe integrated into such engineering content6. Soft skill sets given in the table was broken intothree categories: defining yourself, being a professional, and practicing ethics. Table 3 not onlyinclude the items sketched out in the Four Pillars BOK but also helps students to understand theirown identity including self-motivation and -reflection as well as work ethics that is applicable toproblem solving and critical thinking of different sorts. Table 3. Soft skills integrated into engineering content6Conclusions and Future of Manufacturing EducationAs the
0.0 0.0 0.0 25.0 58.3 16.7 4.7 0.30 Total Class Response: 0.0 0.0 0.0 15.0 76.7 8.3 4.8 0.19The responses judge the effectiveness of assessment methods used to reflect the knowledge/skillsrequired in this course. The following scale is used to evaluate the effectiveness: 1=HighlyIneffective to 5= Highly Effective. If a particular item does not apply to this course, pleaseindicate "not applicable" = NA. Clearly, at least 75% of the class rated the assessment techniqueshighly effective.Overall EvaluationTable 4 displays the survey responses in the category of Overall Evaluation of the course
Proceedings of the 2022 ASEE North Central Section Conference Copyright © 2022, American Society for Engineering EducationFigure 4: Average Number of Keyword Results Across All Databases3.3.2 Difficulties of Quantifying Keyword AssociationsThere were two major difficulties encountered when searching through the databases using themethods described above. First, the search method had the potential to double count the studies.While searching for literature for the qualitative portion of this report there were some instancesof commonality, but the quantity of results from each database clearly shows these are limited.These results show that while double counting is possible, the variation in number of returns isan accurate reflection
1students initial design abilities, better strategies can be developed to provide scaffolding asappropriate design skills are taught throughout the program.Background Engineering design is an important aspect of any engineering or engineering technologyprogram. Design is what engineers do, and hence the training should reflect this. Traditionally,design experiences have been relegated to senior year capstone experiences. Recently however,an increase in the number of design experiences in the freshman year, sometimes referred to ascornerstone design experiences, are being introduced into curricula. These design-focusedcourses have taken the form of project-based courses where the structure of the course focusesaround the design of a single or
3METHODOLOGYThe performance characteristics of a system could be evaluated rather tediously using queuingsystem theory expressed in mathematical constructs for an identified customer, service systems,channel configuration and resources arrival mechanisms. This could lead to complex recursive,analytical model derivations that may be difficult to solve numerically. The mathematical modelcould admit an arrival distribution and a service distribution for entities. To get around themathematical tedium, a simulation design and analysis could be deployed to enable estimation ofthe measures of performance or measures of effectiveness (MOP / MOE) for the system beingmodeled. To study the complexity of the manufacturing system, under study to reflect thedynamic