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
is because knowledge and ways of knowing play a rolein power dynamics and control such that the hegemonic majority maintains dominance over thecultural narrative [42]–[44]. The hidden curriculum in engineering reflects the epistemic originsof the profession, which assert the values and norms upheld in engineering learning spaces aswell as the field. These engineering epistemologies are unspoken and unacknowledged (hidden),which can serve to limit underrepresented and underserved communities in engineering learningenvironments. We identify the hidden epistemologies that emerge from the teaming experiencesof African American females and recognize their role in impacting these students’ experiences asengineers.MethodsMethodologyWe performed
, technologies used for teaching, pedagogical strategies, student engagement, andpotential cognitive demand [32]. Data was recorded every two minutes for every category usinga set of established codes. Along with the codes, thorough notes were taken at each time interval,and an analytical memo was created after every observation. Given that every class had a similarweekday schedule, another important element was the class timetable. For the pilot study, theresearcher performed two classroom observations. She observed each section at a different time.This helped the researcher to compile an analytical memo reflecting on the observation.Semi-structured interviewThe main goal of employing semi-structured interviews for gathering data was to learn moreabout
qualitative studies and useful for examining the perspective of participants. Weemployed Braun and Clarke's [45] six-phase method for thematic analysis, which encompassedfamiliarizing yourself with data, generating initial codes, searching for themes, reviewing,defining, and naming the themes, and creating the report. Though the method is presented asbeing linear, we took an iterative and reflective process that involved constantly moving backand forth between phases [45], [46] and enriched with deep discussions among the coders todevelop themes. Agreements and disagreements were discussed through deep conversationsamong multiple researchers at different stages [47].The triangulation of data and following the trustworthiness criteria suggested by
comprehensive intervention aimed at helping students develop self-regulation andsuccess skills. It focuses on goal setting, community building, academic development, andpersonal development. The program covers student development topics in a first-yearengineering course/lab/seminar, and students are asked to design their own process for successand write a reflective, comprehensive report. For the Fall 2023 term students were asked to writefour reflective homework assignments (~1000 words per assignment) and a reflectivecomprehensive report (~4000 words). Since there is no institution wide policy regardinggenerative AI use in courses, the following syllabus statement was used:The Use of AI such as ChatGPT, Google Bard etc.You can utilize AI technologies
itscapabilities, limitations, and ethical implications in different contexts. A visual representation ofthe participants’ perceptions is shown in Fig 1. Fig 1. Visual representation of students’ perceptions of ChatGPTQ2. How do you see ChatGPT evolving in the future and what impact do you think it will haveon education?In analyzing the responses to this question, we employed NVIVO to auto-code the responses.Through this process, a diverse array of themes reflecting various perspectives on ChatGPT'sfuture evolution and its potential educational impact. The question itself bifurcates into two distinctaspects: one regarding future developments and the other pertaining to its educationalramifications. To streamline our analysis, we initially
graduatestudents during this time period. The pronounced rise in publications during these years, with overhalf of the total articles between 2020 - 2023, suggests that the pandemic may have intensified thefocus on graduate student mental health, reflecting an obvious and heightened scholarly responseto a critical aspect of student life exacerbated by the global crisis.Figure 1: Temporal trends showing the number of publications before, during, and after the COVID-19global pandemic.Mental health-related terminologies. In our examination of the 616 identified peer-reviewedarticles, we cataloged the terminologies employed to discuss mental health. We conducted adetailed review of the abstracts from each paper and counted every mention of a mental health
NSFGraduate Research Fellowship. Some of these experiences were directly facilitated by the effortsof STEM CONNECT. For example, one Scholar applied and accepted an internship to Hudl aftera local tour, and other Scholars have received extensive feedback on application materials andletters of recommendation from project leaders. A total of twenty university Scholars havegraduated in computing and mathematics-related majors, with an average GPA of 3.66. Ten ofthese Scholars graduated with distinction. Further, 85% were either first-generation, women,and/or URM.The project consistently positioned Scholars as worth investing in. One community collegeScholar reflected on the importance of this positioning: I find it very encouraging knowing that
diversityof member views regarding the proposed ABET changes, summarize them, and present them forfurther discussion at that year’s Interdivisional Town Hall [3].By 2018 a set of “Town Hall Guiding Principles” had been created by the Ad Hoc Committee:Atsushi Akera (LEES), Chair, Alan Cheville (ERM), John Estell (First-Year Programs), SusannahHowe (DEED), Mark Killgore (Civil), and Joe Tranquillo (Biomedical), Chair-Elect, with theunderstanding that not every town hall meeting would be able to focus on all of the followingcriteria: A great Town Hall meeting will: ● Address a Big Question ● Build community by allowing ASEE members to mix across divisions ● Foster self-reflection among the members of the ASEE community
marginalized groups,including Black, Hispanic/Latinx, and Indigenous students in STEM, is imperative to maintainthe U.S. standing as a global leader in innovation.We reported on the development procedure for a multi-factor organizational climate survey forengineering doctoral student retention. Engineering doctoral graduates account for a large shareof the innovation workforce [2], but the engineering doctoral pipeline does not reflect thediversity of the U.S. population. For example, in 2022, women earned 26.2% of the engineeringdoctoral degrees awarded in the U.S., with fewer than half of those women being U.S. residents.Of those degrees, American Indian women earned 0.1%, Black women earned 5.0%, multiracialwomen earned 5.3%, Latina women earned
superintendents reflected on how students were impacted directly: “Yes, it [COVID] has had a negative impact. Although teachers provided options, resources, links, etc., students really had to take some initiative to fully dive in. Students were not exposed to as many concepts, experiment opportunities, lessons, etc. as they were prior to the pandemic.” “COVID prevented inquiry based hands-on experiences.”Theme #2: Teachers recognized what was missing during the pandemic, namely studentcollaboration, hands-on investigations, and using the school’s STEAM Lab.Several teachers commented on the lack of hands-on collaboration among students due toCOVID-19 social distancing and time constraints. One 2nd grade teacher even shared
limit how much educators can help students prepare, it may be worthproviding training to faculty. Whether through industry partnerships to offer workshops or todirectly administer mock interviews, providing such experiences for educators could ultimatelyhelp to foster empathy for what the hiring process may entail and could raise awareness of theexpectations for those who may be unfamiliar with it. Education can be valuable and canempower and equip faculty to better aid their students as well.7 Limitations and Future DirectionsThe study conducted a focus group of a subset of individuals across the United States. However,the experiences and voices represented may not be reflective of all institution types or of alleducators