of fourteen undergraduate College of Engineering and College of Sciences and Arts students’ answers to Q1: What do you think are 3-5 hard things about searching? And Q2: Which ones are cognitively complex? (star) Why? To create this study’s task diagram shown in Fig. 1, we first systematically workedthrough the answers to Q1 and sorted the data into categories. Although the words used todescribe the challenging aspects of search differed slightly among participants, the top-levelcategories reflect the common themes as analyzed by the author. Following best practices for thistechnique, we made multiple passes through the data in case new insights popped out [6]. Wethen placed the final categories at the top level of the
the 1,656 paths leaving engineering via Industrial, 45.7% of them terminated inSeries 52 Business (Table 5). While Business was also the overall most common non-engineering destination for transfer paths which started within engineering (19.6% of suchpaths), the list of the next highest frequency destinations (Computer Science, 12.7%; PhysicalSciences 7.4%; General Studies, 6.9%; Biomedical / Biological, 6.6%; Social Sciences 6.2%;Engineering Technologies, 6.2%) is not reflected when considering only Industrial.Table 5. Non-engineering Destinations for IE Origin (n=1,656) CIP Series Origin Percent 52 Business 45.7 15 Engineering Technologies 7.8 45
on their form as there is a large pool of random examquestions for each topic (around 30 versions of each question). Exam Reflection Form Topic: What steps I took to solve the problem: What I misunderstood and what I should have done: Notes: Figure 5: Exam reflection tool used by students when going over incorrect exam questions.As an example, Figure 6 shows a fill-in-the-blank question on non-strict parameter passing; passby need.In order to prevent unnecessary re-attempts to achieve a perfect score on questions where thestudent has already achieved a score of 90% or higher, all such scores are converted to 100%credit. The difference between a 90% score and 100% typically comes down to typos rather thana lack of understanding. This
, actually, because I think we started leaning a lot more on like coding and stuff.So, I think that would help in what I’m trying to do after the degree.”The other student who felt prepared as a result of the impact of the pandemic claimed that theydeveloped better in terms of personal growth and organization. They reflected that the transitionto online instruction led them to spend more time on the internet and allowed them to learn fromonline resources and gain better computer skills. The student believed that these skills wouldprove to be useful in the industry, saying: I was able to actually learn how to work on my own during this time and I was able to actually learn how to get stuff on my own.... So, it’s helped me in that way
fluidmechanics concepts. Participants were provided with a worksheet to guide them during theexperiment. The worksheet contained steps for the participants to perform during the experiment.The worksheet allowed the participants to think and reflect on the concepts being taught.Afterward, each participant was given a post-test to examine how much they had learned duringthe instruction. They were then required to respond to the motivational/engagement survey.Participants received links to the online motivational survey administered via Qualtrics© at theend of the LCDLMs sessions. The survey prompts asked participants to reflect on their LCDLM-facilitated instructions and report how well they believed experiencing LCDLMs instructionhelped them to engage in
numerous educators and academics, but resultsabout its impact on learning have been mixed, partly because of a dearth of data [11]. Forcomprehensive, long-term learning, Kolb created a four-step model learning cycle. The steps areknown as active experimentation, reflecting observation, abstract conceptualization, and concreteexperience (doing) (using the ECP approach) as shown in Figure 2. It is anticipated that studentswill retain more information after taking courses that follow all these procedures [12, 13].Students directed through the learning cycle are also exposed to more excellent educationalopportunities and chances for individual thought and self-discovery.Fig.2 Kolb’s Learning Theory3 Methodology3.1 The Use of Experimentation and
biweekly) basis, attending sponsor-student team meetings, reaching out tosponsors for feedback). Working in collaboration, the co-instructors refreshed the coursestructure to address two reoccurring themes observed in previous cohorts: (1) students strugglingto adopt a “post-academic” mindset; and (2) students not perceiving design documentation asintegral to the design process.The course was restructured to reflect a semi-imaginary consulting engineering firm, “MountainTop Engineering”, where the instructors acted as the firm’s CEOs, the students acted as thefirm’s engineering associates, and the firm’s customers were external industry or non-profitsponsors. (Note: all design projects were funded by external industry or non-profit sponsors.)While
practice has not yet been evaluated to see if it is making any changes, it can bemeasured by comparing the reflection surveys taken after finishing this course in the previousyears and after infusing NACE competencies into the course syllabus in the Fall semester of2023. The future study can use the findings of the reflection survey to discuss the success of thispractice. This study introduces a process and challenges through which professors andinstructors can evaluate and modify their course outcomes to help prepare students for theircareers.ReferencesBiggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347–364. https://doi.org/10.1007/BF00138871/METRICSFick, J., & Jones, J. W. (2018). LEED® LabTM
side. Madeline K. Biomedical Engineering StudentAnother UVA biomedical engineering student shared during a class discussion that she mustdisconnect herself from her feelings when injecting toxic nerve agents, used for militaryresearch, into rats.The split in identity expressed by these students reflects a larger cultural schism that begancenturies ago:As Franco notes: “René Descartes’s (1596–1650) description of animals as “machine-like” was heavily criticized by many of his contemporaries, but nevertheless provided scientists a way to justify what would now be considered extremely gruesome experiments in a time when anesthesia, for humans and animals alike, was not available.” [4] (p. 241)Descartes’s
EngineeringFundamentals, and might be reflective of the more restricted focus of such degree programs. Assuch, there are several disparities between industry expectations and educational programs.Considering the industry expectations as a baseline, this enables the identification of broad wayscurrent programs might adjust their curriculum to better prepare future technicians or engineersto enter the workforce, or to help current workers upskill for new positions in emergingautomation, robotics, and mechatronics fields as efficiently as possible. This study has several limitations that should be recognized. For instance, the sample ofindustry professionals is limited in many ways and does not encompass the entire range ofprofessions within the field of
other measurements [20].The existence of group-level effects on individual behaviors is a long-accepted phenomenon inpsychology [4]. Prewett et al. [1] define team personality composition as “a team-level index ofthe personality traits within the team, reflecting the strength (or elevation) of a given trait withinthe team and/or the heterogeneity of a trait within a team”. The study states the primary reason forcreating team-level indices of personality as relating personality characteristics to team-levelcriteria without inappropriately crossing levels of analysis.Personality traits are believed to be critical attributes in team composition research. Teampersonality composition refers to the configuration and aggregation of personality traits
controls temperature.peer evaluations were used to ensure accountability among team members. Individual assignmentsconsisted of reflections about the design process and assessments related to training modules,while Team Assignments consisted of assessments related the to design project.Team assessments were scaffolded using periodic “Design Updates (DU)”, in which teams wouldwork on a small section of the project and get feedback before any major presentations. Forexample, students would have to complete updates related to their Problem Definition/Requirements (DU1) and Concept Generation/ Down-selection (DU2) prior to presenting theirPreliminary Design Review (Appx. Table A3
, Asian, andAfrican American. The parents and children voluntarily walked into our booth. After obtainingparental consent, each child played two episodes of the path-finding game: Game 1 taking five toten minutes and Game 2 taking ten to twenty minutes. Before playing the game, children worethe motion capture jacket and a hat with the assistance of a research assistant. The motioncapture suit was attached by reflective markers to track children’s movements during the session.When children approached the game place, a social robot greeted with utterances which wasinstantly operated by a human operator behind the scene. A social robot expressedencouragement when a kid struggled to finding a next step during the game. Various utterancesof a social
communication about DEI initiatives and progress o Difficulties with implementing consistent policy or communication across departments o Who is coordinating and holding people accountable?Challenges relating to strategizing the DEI curriculum focused most often on finding room in thecurriculum for DEI courses or content, as reflected in this comment: “The curriculum is tightalready, so there's not much wiggle room for making changes.” Several respondents wereconcerned about the need for a “curriculum overhaul,” either by adding new courses or newcontent to existing courses. Other challenges pertained to the scope of DEI content and scale ofimplementation: o Achieving critical mass of DEI content so that these concepts are embedded, not
meetings with mentors; extensiveprofessional development seminars; formal research training including daily reflection journals,poster presentations and technical writing with a faculty member. REU students completed twodeliverables: a research project and an open-ended Arduino engineering design project. Initially,students chose their research projects from a list of available opportunities. Once a match wassecured, students worked in their research labs daily with their graduate student and facultymentors.A list of students’ engineering research projects included:1. Accelerating Operations on Graph Neural Network2. Computational Design of Single Atom Catalysts for Electrochemical CO2 Reduction3. Information Theory to Pinpoint Causal Links
Education from Virginia Tech. She has work eDr. Michelle Soledad, Virginia Tech Michelle Soledad, Ph.D. is a Collegiate Assistant Professor in the Department of Engineering Education at Virginia Tech. Her research and service interests include teaching and learning experiences in fun- damental engineering courses, faculty development and support initiatives – including programs for the future engineering professoriate, and leveraging institutional data to support reflective teaching practices. She has degrees in Electrical Engineering (B.S., M.Eng.) from the Ateneo de Davao University in Davao City, Philippines, where she previously held appointments as Assistant Professor and Department Chair for Electrical Engineering
inventory of the subject matter based on the learning materials shared hitherto,and to enable the formation of new home groups. The post-lecture test was administeredafter the teaching sessions facilitated by the group champions (experts) after the jigsaws.It was found that integrating the jigsaw classroom into the materials science lessons waspositive as reflected in the performance of the student’s post-lecture. The results showedthat all the students that participated in the post lecture tests scored above 50% of the totalscore as compared to scores reported during the pre-lecture assessment. The increase intest scores post-lecture can be ascribed to the improvement in learning methods based onthe activities in the jigsaw groups proving the
teachingabilities, even if the experience was not enjoyable for one of them; b) the middle-schoolers had 5fun and learned coding; and 3) there is a need to reach out to diverse groups and to the youngergeneration. In the focus group discussion, one student reflected that “I think as a whole, for us, todumb-down our research so they can understand a standard helps us to understand our material.Yes, it gave us a better understanding of our own project and the kids did have fun—that was agood purpose of the activity.” The dissatisfaction of the one student who disliked the activity isapparent in this exchange with notes from the program evaluator, “I was not a big fan of theoutreach activity. I do not like
certainty. Whereas the students in our previous study hadself-developed this “connecting” skill, our program provides a formal platform forlow-income students to learn and practice those connecting skills at the graduate level.This will allow us to investigate through pre- and post-surveys whether “connecting”skills can be developed through mentorship and whether developed connecting skillsenhance their self-efficacy, STEM identities, and persistence beliefs.This poster shares the results from student surveys completed at the beginning of our firstacademic year of the S-STEM program, reflecting on their undergraduate experiences.Specifically, we highlight the particular FOK held by our students as they enteredgraduate school from engineering and
data obtained independently from the five members of the research team were used togenerate point maps and cluster maps using multi-dimensional scaling that were useful indiscussions of the most useful documents to collect and to themes within data collection. We arecurrently incorporating this into our planning processes. We expect to complete reflections onthis process soon.References[1] “CMAP software,” Cmap. [Online]. Available: https://cmap.ihmc.us/docs/origins.php. [Accessed: 01-May-2023].[2] W. M. Trochim, “Hindsight is 20/20: Reflections on the evolution of concept mapping,” Evaluation and Program Planning, vol. 60, pp. 176–185, 2017.[3] C. A. Bergeron, A. Hargrove, B. Tramontana, J. Steyer, A. Emily, D. Davison, A
with consideration of consequences, unintended and intended. 9. Communication and Teamwork • Communicates through audience-specific written, graphical/visual, oral and interpersonal communication skills.The project evaluation approach Students’ projects were evaluated by the instructor on how much their project proposals andreports reflected the aforementioned 9 core EOP values. A rubric was created for each EOP corevalue so that the students of each team were assigned one of the following assessments: • Category of “Excellent”: complete mastery of the concept with no to very minor (e.g. non conceptual) errors – you would rate this selection of student work as an “A”. • Category of “Good”: Mastery of the
results have been published [8]. The execution details and assessment resultsof the Summer Bridge Program were published at an educational conference [9]. Theimplementation of an introductory course and its impact on students' academic success andretention was also published at an educational conference [4]. Also, the structure of the industrymentorship program for undergraduate students was published by an engineering educationjournal [10].ConclusionsFifty scholars have been recruited in three cohorts (cohort I, 18 students, cohort II, 13 students,and cohort III, 19 students). Diversity on campus is reflected in all cohorts of scholars. Twoscholars from cohort I and three from cohort III left the program because of personal issues. Allcohort I
panel, and a diversity, equity,and inclusion (DEI) reflective session. The peer support is extended at the end of the REUexperience, as students come together at one of the network sites to present their research andposters via virtual and in-person means; they also tour the facilities to learn more about thevarious aspects of research outside of their assigned REU site. Overall, students show an increasein the research skills gained throughout the REU program. The students are monitoredlongitudinally to learn more about their career paths after they exit the REU program.BackgroundThere continues to be a great need to encourage and prepare a diverse group of undergraduateengineering students to persist in their degree programs and, ultimately
constructed andgiven the multiple positionalities of our team, both sets of experiences would influence the co-construction of the students’ experiences [13]. By extension, our collective experience withinthe college of engineering and the SSTEM program would shape our interpretations of the data[13]. Furthermore, the constructivist approach to grounded theory aligns with a relativistontology and subjective epistemology which require the researchers to ensure transparency inthe analytic process through reflective engagement [14]. The constructivist method of GTrepresents a call to action and can involve approaches such as using the analysis as a foundationfor making specific changes in the lives and experiences of the program participants [15
tobetter address the research purpose. Participants were sent the interview questions prior to theinterview to allow them to gather class data and reflect on the differences beforehand. Interviewswere conducted via Zoom and were transcribed by a professional transcription service.The interviews were analyzed using thematic analysis, wherein the author team identified themeswithin and across the interviews about the perceived impact of COVID-19 on engineeringstudent readiness. One author conducted the initial data analysis and identified initial themes.The author team then met to discuss to consensus. The author team found that themes withineach participant’s interview were unique from the other participant and, as a result, opted topresent the
abilities are affected byfactors such as lack of access to training facilities, increased stress levels and burnout, andreduction of urban navigation.Limitations There are some potential limitations to the work. One involves the potential of seasonaleffects as the tests which were administered during spring for both groups. Additionally theparticipants reflect a convenience sample that was drawn from the BLV population. Theparticipant population spans a large range of ages and due to the population size in thepre-COVID and post-COVID groups the research was unable to be segregated into smaller ageranges. Finally, there are different levels of vision within low vision participants and even thoughparticipants wore blindfolds this does bring a
professional path; and irritations withinjustice and power dynamic issues in academia.Publications:Shanachilubwa, K., Sallai, G., & Berdanier, C.G.P. (2023). Investigating the tension betweenpersistence and well-being in engineering doctoral programs. Journal of Engineering Education.Shanachilubwa, K., Ellery, M., Sallai, G., & Berdanier, C.G.P. (2021). “I wish I would haveknown…”: Characterizing engineering students’ reflections on their graduate experiences. 128thASEE Annual Conference & Exposition (held virtually).Phase 1B: Capturing Engineering Graduate Students and Attrition Considerations UsingSMS Text Survey MethodsIn this stage of research, the research team recruited two cohorts of participants representing anational sample
emphasis on the electrical aspectsand the power electronics associated with such technologies. This course does not addresspower system-level topics such as grid integration and economics of renewable energy sources.The course instruction is enhanced by Simulink model simulations to provide students with agraphical environment for simulating and analyzing renewable energy systems. This course canserve as guide to other instructors interested in initiating a course in renewable energy.In this paper the contents and teaching methods of a course in renewable energy technologies arepresented. Example Simulink assignments are described. Reflections on the student experienceare presented and lessons learned are highlighted.Course ContentTable 1 outlines
identify physical- Phrases related to the relevance of ‘seeing’ environmental similarities between the site how structures were damaged; direct visited and the site assigned for their project. reference to how damages to the structure helped them visualize and ponder their project; statements that reflect possible applications of their observations to the design of the school module. Students will describe flaws in design and Reference to details of damage in buildings, construction observed in a building damaged for
involved 9 - Student makes an estimation for the answer Student determines whether typical formulas, etc can be used or ifDetermine a Standard Problem adjustments need to be made 1 - Student statement reflects conclusions made through logic or mentions relationship between factors (identification of key relations) 2 - Student identifies equations/formulas needed to solved problemKey Relations (identification of key equations