19 17 9 0 4 Computer Hardware 17 19 8 1 4Table 2. Level of proficiency of the participating studentsOne of the goals of the competition was to expose un-experienced students to the technologies involvedin IOT. As reflected in Table 2, this goal was achieved, with most participants having zero or limitedexperience with embedded platforms (Raspberry PI) and coding for them.The event was organized on November 16, 2022, and the participants were grouped into 8 teamscombining students with various levels of expertise and experience. Each team was provided with the kitneeded to assemble the communications shim and sensor, the guide to
process has taken longer than expected asthe problem nature presents a high-level research work. We then started modeling airflow aroundthe wind turbine blade, which is not included in this paper. Figure 3: Left - Velocity results from simulation with medium mesh elements. Right - Velocity results from simulation with fine mesh elements.LESSONS LEARNED This section describes our perspectives on being engaged in undergraduate researchproject-based learning. As part of a big team consisting of eight students from eachprogram totaling 24, both of us were assigned this task while our colleagues from themechanical engineering program were divided into two subgroups of three students. Wewill not cover their reflection
students to gain a comprehensive understanding of the IDE and the important concepts associated with Arduino programming [6].• e-portfolios: Students were asked to hold regular meetings with their teammates and to create design alternatives based on the provided restrictions. The faculty members provided constant feedback on students’ designs. The reports, the meeting minutes, the initial designs, and feedback were collected under each team’s e-portfolio. This collection is then used to create a final presentation poster to which members of the community were invited. The e-portfolios allowed the opportunity for reflection on students’ own progress and self-awareness of their potential for learning and comprehension
andexperiences contribute to their ways of defining and solving engineering problems or how theirengineering learning experience has helped them reflect on their cultural identities as Asians. Wehope that future research on Asian American engineering students considers their variouscultural identities when discussing matters regarding race, particularly of Asian Americanstudents.Discussion and Future ResearchFuture research needs to address the extreme cultural diversity within the Asian Americancommunity, which has been a focal discussion among Asian American studies researchers [2].Recent studies in higher education have shown that Filipino students are 60% less likely to majorin STEM fields than other Asian American students [11] and Hmong and
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
toengage at the individual, institutional, and network levels. Adjustments from deadline-drivenactivities to competency-driven deliverables reflected the need to meet HSIs where they are, justas faculty and staff are asked to meet their students where they are.Finally, work-based andundergraduate research-based experiences repositories complemented with culturally-responsiveinstruction are being made easily accessible.BackgroundThe ALRISE Alliance is NSF’s Eddie Bernice Johnson INCLUDES Alliance that was awardedin August 2021 with the vision of developing a Networked Improvement Community (NIC)comprised primarily of two-year Hispanic Serving Institutions (HSIs) and emerging HSIsrepresented by their educators and community partners who collaborate
guidelines onwhat should take place at a hackathon or how to host one because every hackathon is unique.Hackathons are often tailored for achieving specific goals. These goals range from focusing on aspecific computing disciplines to promoting the inclusion of certain groups within technology.Traditional hackathons have, however, frequently come under discussion for lacking inclusivityand diversity. Technology is a crucial component of contemporary society, and those whodevelop it should consider the varied viewpoints and experiences of the consumers they serve.Inclusive hackathons are a crucial step in developing a more diverse and equitable IT sector.These events assist in ensuring that the goods and services we use daily reflect the needs
this first cohort,and we met that goal. Ten proposals, representing 11 different institutions, were received, vettedfollowing NSF practices (e.g., teams responded to clarifying questions to ensure alignment withthe Hub goals), and selected. We met our overarching objectives of having a set of grantrecipients that reflect the S-STEM program diversity. Recipients include small privateinstitutions, large research institutions, minority-serving institutions, community colleges, andregionally focused institutions that represent a wide geographic footprint. Campus-specificprojects being advanced by this budding community of practice focus on how to recruit low-income students from different institutional contexts, topics with a community college
curriculum (four days). Figure 3 shows changes in these measurespre- and post- implementation. Figure 3. Pilot data collected on day 1 and day 4 of a soft robotics implementation (n=10 students).Reflections on Pilot Study, ChangesImplementation Student participants were focused and engaged in the activities. We received feedbackon the survey in a prompt asking, “Is there anything else you’d like to tell us?”. One student commented,“I really enjoyed all of the activities from the week. They were very engaging and informative.” Anotherstudent noted the desire for similar activities at their school, saying, “I really enjoyed the class, wereally need something like this at [school name].” In addition to students generally being interested inthe
. Fig. 3. The leaning tower of Pisa3.3. Pedagogical ActivitiesTo engage students, the suggested pedagogical activities include: 1. Discussion of tipping and footprint concepts – Reflective discussion can help students to understand the two approaches clearly, and when and how to apply them to their lives. These discussions can be constructive for students who need help with the retention and application of information. 2. Demonstration of tipping, even applying forces on the table in the classroom to using an elastic band to capture the geometry of the footprint, can help students to retain the concept. 3. Design projects foster the ability to formulate, ideate, experiment, and learn from concrete
questions. Table 1: EIs and Associated Themes Engagement Indicators Themes Higher-Order Learning Academic Challenge Reflective and Integrative Learning Learning Strategies Quantitative Reasoning Collaborative Learning Learning with Peers Discussions with Diverse Others Student-Faculty Interaction Experiences with Faculty Effective Teaching Practices Quality of Interactions Campus Environment Supportive EnvironmentAfter EI scores
such as ADAaccommodators and tutoring staff were interviewed and brought up important issues andadvantages of take-home tests.Instructor RoleOne major advantage identified by the instructors is the ability to ask more interesting questions: “it allows us to be more flexible and ask questions that are perhaps a little bit more reflective of real engineering questions that students might encounter.” (Instructor 3)The allowance of more time on a test can be important as students are allowed to answer morecomplex questions that may be more representative of real-life problems. Additionally, it allowsinstructors to address higher levels of Bloom’s taxonomy, testing application and understandingof content instead of just memory. One