scholars of color. Thequestions were carefully worded, asked in a specific order, and included probing questions toseek clarification and meaning. After the completion of each interview, the web conferencingplatform rendered a transcription. All recordings were permanently deleted once transcriptionswere reviewed and cleaned for errors and identifying information.Reflexivity and Positionality. Throughout the study, the research team practiced individual andcollective reflexivity (Patton, 2015) by reflecting on, setting aside, and discussing experiences,values, and beliefs related to the way in which university postdoctoral affairs offices can bettersupport engineering postdoctoral scholars of color both personally and professionally.Reflexivity is
environments, though experiences varied among students.Question 7: Many students agreed on the importance of engaging critically with AI content,stressing the need for discernment in using AI tools.The survey results reflect students’ opinions of the role of AI in EE education. While there is anacknowledgment of the benefits AI can bring in understanding complex concepts and creating adynamic learning environment, there is also a clear emphasis on the need for critical engagementwith AI-generated content. The data suggests that students are aware of the potential pitfalls ofover-reliance on AI and the importance of validating AI products. This highlights the necessityfor educators to balance the integration of AI tools with traditional teaching
simply going over the material. • It gives more societal worth as well as individual worth. If you reflect on event on a horrible tragedy of engineering done poorly, it gives you more worth and responsivity. • incorporating the history and background of a engineering principal can create a good foothold/base for any student to start expanding their knowledge of a said principle • I believe that being able to see the work of these individuals in front of me rather than in a textbook, as in through videos or interactive walkthroughs of their accomplishments in the field makes it much easier to visualize, therefore allowing me to be more interested as I see their work come to life rather than just be
other institutions and organizations to provide professional skills training to their ownaudiences. Nearly 11,000 participant trainings were completed in the first six years of the project, withhelp from 120 volunteers trained as program facilitators, and several organizations have stepped in toprovide ongoing support to continue the training program after the NSF funding ended.This paper reflects on the lessons learned over the first six years of this project, documenting both thechallenges that had to be overcome and the collaborations that led to the success of this workforcetraining effort. Specific suggestions are offered for building collaborations with individuals, publicinstitutions, and private organizations to create sustainable
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
contexts is in generating the correct prompt, to assure that the technology willrespond as expected by the teacher. Prompt engineering can be described as a combination of AI,linguistics, and UX [18]. One of the possible frameworks to craft efficient prompts is CLEAR, a5 components model depicted in Table 1, that stands for Concise, Logical, Explicit, Adaptive,and Reflective [19].Table 1. CLEAR framework for prompt engineering Model Component Description C Concise Prompts must be short and have clarity on what they state L Logical Prompts must be structured and coherent E Explicit Prompts must clearly specify inputs and outputs A Adaptive
situations also improves, which is importantto developing students’ problem-solving repertoire. One study found that the general learningenvironment is also enhanced whereby instructors’ close interaction with students allow them tobetter pinpoint where weaknesses in student learning of course content lie [7]. Other benefits of oral assessments are that they may better reflect professional situationsthat students will encounter after graduating, such as job interviews where they must verballycommunicate ideas [4]. In this sense, oral exams may add depth to the range of communicationskills acquired by undergraduates [3]. They can also provide the opportunity for increasedinclusivity in the assessment process. A study showed that students with
students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002) in Bioengineering from Clemson University. ©American Society for Engineering Education, 2024 Work In Progress: An Exploratory Study of Appalachian Students’ Quest for Success in Undergraduate Engineering ProgramsAbstract This work in progress paper reflects
comments, that higher valueassigned to the embedded course appears to have arisen from multiple reasons. Students valued learning the differences between technical writing and generalwriting. After years of taking general writing courses, engineering students appeared to havea need to receive formal training and feedback on how to write as an engineer. Positivecomments about the embedded course reflected that need: “[the course] showed me thedifference between the way that writing was taught to me my who life and how technicalwriting should look,” “[the course] showed me that [technical writing] isn’t so easy that youcan just do it without learning about it,” “[the course] was very different than othertraditional writing courses,” and “[the
engage in those reflections needed to evaluate complex situations, which often involve socio-economic and political considerations. Case studies have been shown to be an effective way to do that, and an effective case study allows students to go beyond the simple facts of the case by looking at laws past and present, historical context, and current practice and lead them to make informed decisions [16]. This process not only enhances their analytical abilities but also encourages them to explore new dimensions of the engineering practice, facilitating that much needed shift to a more equitable and socio-centered engineering practice. This broader perspective encourages students to consider the
%, respectively (ASEE,2019). The U.S. Bureau of Labor Statistics (2019) projected higher job growth for computationalroles (12%) compared to mechanical, electrical, and computer hardware engineering (4-6%).Reflecting this demand, computer science and computer engineering faculty emerged with thehighest salaries in academia, surpassing their engineering counterparts (ASEE, 2022).These disciplinary distinctions permeate beyond academic and professional spheres, influencingsocialization, enrollment, and persistence, and carrying significant implications forunderrepresented groups. Hocker and colleagues (2019) pinpoint challenges in academiacontributing to a noteworthy doctoral dropout rate in engineering, particularly impacting womenand URMs. The prevalence
the survey accurately reflects the GTAexperience and captures the dynamic educational environment they contribute to, aiming for aninclusive and comprehensive evaluation.3.2.1 Pre- & Post-Semester Assessment SurveyThe study commenced with a pre-semester survey designed to establish a baseline understandingof GTA’s' skills and perspectives before their active involvement in the service-learning program.The skillset gauged is listed in Table 1. Administered through Qualtrics, this survey played apivotal role in assessing the initial skill set and expectations of GTA’s.The survey questions were carefully crafted to gauge their proficiency and mindset, setting thefoundation for subsequent comparative analyses with post-assessment data. By
their survey responses by answering thefollowing questions:1. Can a predictive model be trained on the survey responses with sufficient accuracy compared to the baseline (in this case 50% for a binary classification) in classifying student GPA groups as TRUE or FALSE?2. If the answer is yes to question 1, does the model trained only on pre-intervention action state surveys have quantifiable levels of difference in accuracy when tested on the post- intervention responses? 3. If the answer is yes to question 2, is this difference in accuracy reflected in explainable and modest changes in false-positive ratios between the models trained and tested on different populations?To start answering these questions, we need to be able
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
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
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
societalimpact and to align with ABET standards, the Webb Communication Program at the WoodruffSchool has established a guiding framework that defines our understanding of what effectivecommunication is. Specifically, this framework names appropriateness and responsiveness as thefoundation of effective communication. These are defined in the following ways: 1. Appropriateness: The quality of a prepared message that reflects its suitability in addressing the specific context, audience, and purpose, resulting in a communication that is ideally curated and positioned for maximum effectiveness. 2. Responsiveness: The quality of being adaptable and receptive to the evolving dynamics of a communication context, enabling timely and
finalized codebook. Table 2 defines the four S’s alongside the transition types in the study context. We organized the results by the type of transition and highlighted how students' experiences map to the four S’s of Schlossberg’s transition theory. . TrustworthinessEReporting on the quality, credibility, and validation of qualitative research are best practices to ensure the study's trustworthiness[33]. In engineeringeducation, Walther et al.[34]provide validation strategies to ensure the quality and trustworthiness of qualitative research. heoretical validation of a study should reflect the complexity of the lived experience underTinvestigation. This can be validated through the use of an opposing case