improvement about various infrastructure inequity scenarios, and (ii)students’ interest in working for systemic change to address inequity in resilient infrastructuredevelopments. The demographic questions recorded the participants’ social and educationalbackgrounds. The post-survey included the same Likert scale questions as the pre-survey tocompare the responses and assess knowledge improvements through the module. Additionally,the post-survey included Likert scale questions to reflect students’ feedback on the efficacy ofthe training in improving their understanding of SERI concepts.The pre-and post-survey data were analyzed using both quantitative and qualitative methods. Thestudy utilized the Wilcoxon signed rank test to compare students
thepumped water initially did not place the cup horizontally, but one of the team memberssuggested placing the cup on the table to check the measurement accurately. As the team tookmeasurements, they engaged in reflective discussions about the pumping phenomenon as seen intheir data sheet (Fig. 3). Fig. 3. Notes Extract from Team 1’s Data Collection.Team 1 also developed their interpretation of the efficiency concept based on their measurementprocess, pump manipulation, and interpretation of using the pump to supply water to las coloniascommunity. [Professor]: how would you define efficiency? [Team 1]: We can see that during the in between like three minutes and five minutes, there’s a big spike in like the
departmental community. In this framework, CoP ischaracterized by constant knowledge generation, application, and reproduction, highlighting thedynamic nature of engagement.Within this framework, the diverse adoption of mentoring tools reflects the autonomy of individualfaculty members as distinct nodes in the advising network. There are no formal requirementsconcerning doctoral student mentoring to support graduate advising and faculty members are freeto adopt tools (or not) that they perceive to be most appropriate or work best. However, the CIMERprogram allows faculty members in the department to receive training to train others, it is throughthis initiative that other faculty in the more peripheral mode of participation get to learn fromtrained
Search TermsFor the search, we carefully selected a set of specific keywords and search terms to ensure athorough search, capturing a wide range of relevant papers. Core themes searched were digitalaccessibility and computer science education. Digital accessibility is central to this study,focusing on accessibility in digital and online environments. Computer science or computingeducation refers to the educational context and curricular aspects of computer science. Fromthose core themes we also included the associated terms online learning and inclusive education.Online learning reflects the shift towards digital education, especially relevant due to impact ofCOVID-19. Inclusive education encompasses broader educational principles that
proactively recruited new instructors tomatch those demographics. Our instructors and visiting executives now reflect those changingdynamics too, at 66.7% and 62.5%, respectively, representing commercial and industrialexperience. Exhibit 9. Responding to Changing DemographicsWe also saw a shift in geographic location. In Fall 2015, the majority of our MEM studentscame from the local Baltimore/Washington region (62.5%). Not surprising since this course, andmany of our other MEM courses, were offered on campus and in person. Johns HopkinsEngineering for Professionals was already proactively moving to more online offerings that alignwith working professional education preferences. And further encouraged by even broaderacceptance of
passenger well-being and minimize the risk of accidents. This collective effort reflects a commitment to caring for the safety and security of airline passengers and crew members. These cases illustrate the importance of incorporating care ethics principles into engineering practice to ensure that decisions prioritize the well-being and dignity of all individuals affected by technological developments. ➢ Contextualism: The idea that ethical decisions should consider the specific context and circumstances of each situation.Environmental Impact Assessment: In a project involving the construction of a hydroelectricdam, engineers must consider the potential environmental impact on the surrounding ecosystem,including
toy,exploring a variety of design options that reflect how their creations will look and function. Theexpansive design scope of this project not only cultivates students' creativity but also presentsthem with challenges to overcome as they navigate through the open-ended design process. Byintroducing elements such as varying design constraints or randomized features specific to eachproject, students are encouraged to think outside the box, ensuring a diversity of ideas. Thisapproach not only fosters innovation but also enriches learning as students draw inspiration fromthe wide array of solutions and perspectives presented by their peers' projects and existing softrobotic fish designs [3].Educational ContextThe presented robotic fish project
theinstructors and TAs to identify students who may be struggling and provide support early in thesemester. In addition, it is expected that these activities would ease learning anxieties for studentsat the early phase of learning programming and enhance their confidence by being engaged andable to perform the initial basic tasks on their own.The Vertical Non-Permanent Surfaces activities were introduced after the students werecomfortable with the basic programming concepts. The problem sets used for the VNPS activitiesare more complex and reflect real-world situations. Students are tasked with working on theseproblems in groups of three. Students first develop their solution approach individually. They thenmeet in their group to discuss their
. Theultimate goal is for this initiative to serve as a model and inspiration for universities andcommunities alike, highlighting the transformative power of collaboration between highereducation institutions, industry, and community partners to drive meaningful improvements inour communities, fostering growth, innovation, and social well-being.1. IntroductionOverview of Community Engagement in Engineering EducationIn recent years, the field of community engagement in engineering education has been growing,reflecting a shift towards a more holistic approach that extends beyond theoretical knowledge.Building sustainable and resilient communities is a core purpose of civil engineering andeffectively engaging with communities is vital. Such engagement is
isintended to clear up any remaining confusion by providing students with chances tocommunicate with both the professor and fellow learners. Often these discussions will centeraround student explanations and solutions as a way of preparing them for independent work. Onhomework, students may consult their notes, textbook, and other resources such as a tutor or theinstructor. These assignments include multiple attempts and flexible deadlines and areconsidered complete once students earn an 80% or better. After the class preps and homework,there are in-class understanding checks (often in the form of quizzes or tests) as well as writingassignments. The writing assignments are done outside of class and include reflections as well asopportunities for
Dr. Najmus Saqib is an Assistant Professor of Mechanical Engineering at Marian University. He has been teaching in his field since 2017. Saqib is passionate about student learning. He received his PhD in Mechanical Engineering from Colorado School of Mines, focusing on ”Optical Diagnostics of Lithium-Sulfur and Lithium-Ion Battery Electrolytes using Attenuated Total Reflection Infrared Spectroscopy”. At Mines Saqib was a member of the MODES Lab, led by Dr. Jason M. Porter. His work on Li-S batteries was the first of its kind to use quantitative infrared spectroscopy for operando polysulfide measurements. He has also applied operando spectroscopy to improve the understanding of electrolyte decomposition mechanisms
be clear and consistently interpreted by SMEs.It was observed that academic self-description, engineering intrinsic value, and belonging gotvery strong votes with almost a clear choice of survey statements for belonging and engineeringintrinsic value. The 3 sub-constructs in focus here have clear boundaries in their theoreticalunderstanding and that is reflected in the resultant votes of the sorting task. But looking at thesplit of votes between perceived competence and self-efficacy in round #1 of sorting, there wasan almost equal split of votes between them, to the extent of one statement “I can persist in anengineering major during the next year” receiving 5 votes each for perceived competence andself-efficacy. This was expected as was
thinking [6].This work in progress focuses on instructor and student perceptions of how the engineeringdesign process is enacted during such projects. We aim to understand how instructors balanceanalytical skills, creativity, and detailed design in course activities. This work also investigateshow students apply prior knowledge of the design process and how their understanding of thedesign process is further shaped by their experiences in the mechanical design course. We alsoaim to elucidate where faculty and students hold differing perceptions of what course activitiesare considered design work and where design concepts might be obfuscated by an activity orclass structure. Understanding these perceptions can help faculty reflect on their course
aerospace engineering from the University of Michigan - Ann Arbor and a B.S.E. in civil engineering from Case Western Reserve University, both in the areas of structural engineering and solid mechanics.Dr. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined, sociotechnical engineering practice. Their current projects include studying and designing classroom
translate that interest into involvement. To evaluate the effectiveness of the get involved oncampus workshop, students were tasked with reflecting on their involvement with the studentorganization network as well as their involvement outside of the student organization network.Table 4 shows the number of students that joined student organizations inside and outside of thestudent organization network. The data highlights the drastic increase in understanding thatgetting involved on campus is beneficial.Table 4. Summary of Student Participation in Student Organization Network Organizations Number of students before Number of students after the course the course Yes
classmates in group activities," and item 17: "Have a more proactiveattitude about my learning." These items reflect a decrease in the frequency of various forms ofinteraction, including interactions with teachers and classmates during synchronous sessions andgroup activities. Additionally, there appears to be a decrease in the frequency of discussions withclassmates about course-related work and a decline in proactive attitudes toward learning.While there are positive changes in certain aspects of collaborative engagement and presentationskills, there are negative changes in interactions with teachers and classmates and proactivelearning attitudes. It would be important to explore the reasons behind these changes and considerstrategies to encourage
Statistics (number of students) 2021-22 2022-23 2023-24 Session 1 Attendance 115 20 13 Final Session Attendance 12 10 16 Final Exam Attempts 8 4 5 Passed Final Exam 3 2 4The first session attendance is particularly interesting, as it shows how the program evolvedthroughout the three years. In the first year, nearly 30% of the entire engineering student bodywas present. This reflects the demand from the students for more CAD learning opportunities.Students in first- through fourth-year enrolled in the co-curricular program, and
multiple levels, including internal and external contentreview as well as evaluation of student learning. Internal faculty evaluators are reviewing contentfor evidence that the materials reflected different cognitive learning levels, provided connectionto real world contexts and situations, and connected back to the learning objectives. Externalcontent review was provided from faculty at two secondary partnering institutions as a means ofcontent validation. Constructive feedback from these reviews was applied to refine and improvemodule content. Following completion of module implementation in courses, faculty evaluatedstudent learning based on results achieved on assignments, exercises, projects, and exams.Once the learning modules have been
helpfoster an entrepreneurial mindset. The goal is, that following the activity, students will make V&Van integral part of their simulation modeling and analysis process that will be reflected in courseprojects and beyond the course itself.The expected technical and entrepreneurial mindset related learning outcomes for the escape roomactivity include the following: • Demonstrate understanding and effective use of model verification and validation techniques (Curiosity, Connections, Creating Value); • Explore the accuracy and validity of a model from a contrarian point of view (stakeholder/decision-maker) vs. a modeler (Curiosity); • Assess and manage the risk associated with the validity of the model. That is, what is the
(including the use of library, electronic/computer and other resources, and quantitative reasoning and interpretation, as applicable) o engagement in collaborative learning activities o application of intercultural and international competence o dialogue pertaining to social behavior, community, and scholarly conduct o integrates three or more of the above activities into General Education courses offered in the knowledge domains (https://bulletins.psu.edu/undergraduate/general-education/) o thinking, talking, or writing about their learning o reflecting, relating, organizing, applying, synthesizing, or
reflect the demographics of the College of Engineering, which the students attend. It was also noted that although these teams recruit at college-wide events, they are still predominantly comprised of white male students who already have pre-established friendships or connections.Opportunities for Growth auter et al. [21] have found that there is potential for team learning despite these setbacks.RShepherd et al. [22] emphasize this point by highlighting the importance of directing attention and resources to the setbacks of project team members to maintain the group’s cohesion and morale while encountering challenges during the design process. his paper, herein, considers students’ challenges and negative
behavior, such as littering ordisregard for the plants in the park. It is more difficult to see the possible motivations behind positivebehavior. I assume that most humans are refreshed by and enjoy communing with nature. The Sörqvistarticle suggests there is a certain amount of "eco-guilt" on people who knowingly cause harm to theenvironment by their choices [4]. People may feel a moral imbalance, and their response to it may be todo pro-environmental activities to compensate.Through this activity and other sustainability readings, I take a deeper look at my behaviors and theirimpact on the environment. It takes a conscious effort to look at daily activities and choices ofconsumables that meet the basic needs for life and reflect on the
Press, 3175 Princeton Pike, Lawrenceville, NJ 08648.2. Kolb, A.Y. and Kolb, D.A., 2005. Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2), pp.193-212.3. Andersson, A. and Kalman, H., 2010. Reflections on Learning in Interdisciplinary Settings. International Journal of Teaching and Learning in Higher Education, 22(2), pp.204-208.4. Nickel, A.M., Farrell, J.K. and Domack, A., 2016, June. Science Fiction Literature Crossed with Nanotechnology: How Experiential Learning Enhances Engineering Education?. In 2016 ASEE Annual Conference & Exposition.5. Nickel, A.M., Farrell, J.K., Domack, A. and Mazzone, G.E., 2018, June. Measuring
error for each datapoint reflects the heterogeneityof cells (Figure 5). Dead ReNcells are spherical, displaying little heterogeneity in morphology. Sincethese NSCs are dead before the buffer washing process, surface proteins and ion channels are similaracross these dead cells which is reflected by the smaller standard error bar. As for live progenitor cells,they exhibit a higher standard error due to the environmental stress they experience during bufferwashes with NaCl concentrations.Figure 5. Electrophoretic mobility measurements of Live Undifferentiated ReNcell VMs and DeadUndifferentiated ReNcell VMs as a function of added salt concentration. The symbols represent the average of three experimental measurements.To
connecting with nature, staying mentally, physically, spiritually, and socially active, constantly learning and reflecting, and challenging himself to improve. He is interested in learning/teaching collectively, engineering philosophy, and social and ecological justice. His purpose is to help people freely and fully develop in a sustainable world. ©American Society for Engineering Education, 2024 Towards the Mycorrhiza Framework: An Engineering Education framework for Social and Environmental JusticeAbstractNature and people require a drastic change in how we educate engineers. Social andEnvironmental Justice should be a fundamental pillar in engineering education. Both
engineering ethics education, such as using technology adoptionscenarios and cases, fostering ethical awareness, and reasoning, and promoting a culture ofethical reflection and action.KeywordsTechnology Adoption, EthicsThe Scope, Scale & Pace of Technology AdoptionEngineers are deeply engaged in the “how” of technology – delivering new functionality tosociety through products, services, infrastructure, etc. Engineering students are burdened withthe acquiring the knowledge and skills to understand current technology deployments, whilepreparing for future technology developments. In an era of increasing technology specialization,engineers, and engineering students are confronted with an ever-increasing volume oftechnological advances. The ASEE
and organizations to mutually reinforce transformation toadvance science and serve society. The initiatives recognize various identities or terms like“underrepresented groups” (URG), “underrepresented minorities” (URM), or “broadeningparticipation” should include representations of race, ethnicity, gender identity and genderexpression, persons with disabilities, neurodiverse persons, and members of theLGBTQIA+ community to reflect the true richness of our society when it comes toequality, diversity and inclusion.The ETS and GRE (Graduate Record Exam) programs [4] have developed guidelines tofacilitate institutions’ holistic admissions processes. The recommended admission processincludes the following steps: setting a timeline and goals for
to the NSF. At this point in the process we need you to think about the steps it would take for you to form your own S-SEM project. As you think about this process, prepare to answer these following questions: 1. What strategies would you use to identify partners? 2. What goals and interest would you share with your partners? 3. What resources would you share? 4. What other information do you need? If you desire additional resources around reflecting about partnerships or with partners, please see Appendix B in this open access journal article: https://doi.org/10.1002/jee.20403Research Methods: Descriptive Case StudyA case study is a research design methodthat involves collecting data from a specificsubject.A descriptive case
workplace. The full analysis of the larger study, which includes both quantitativeand qualitative data, was published by Henley, Lucietto, and Peters4. Therefore, this documentwill not replicate the full analysis, but will instead focus on key findings and references toanswer the research questions presented here.The researchers utilized an abbreviated Content Analysis of data that supports responding to theresearch questions. Further analysis found that the data reflected 4 areas that supported theresponse to the questions and provided a greater understanding of what the collectiverespondents were sharing with them.FindingsThe research questions in this paper are answered in accordance with the available data on eachrelevant topic. The data
when faced withcomplex problems they have to agentively solve, this shows that these students can successfullydo design work to frame and conceptualize large and difficult problems.There are several limitations to this work. The primary limitation lies in the differing number ofcredit hours between the two courses. This is reflected in students in the CCEE course havingmore accurate calculations when analyzing their data collected in the lab, and having moreprofessional presentation slides. However, these results show that even a 1-credit class allows fornuanced design work from first-year engineers. The sample size for this study is also relativelysmall, limiting universalizing due to small-scale statistics.AcknowledgmentsThis material is