year. Ultimately, we plan to have ourentire FYE program modularized for the benefit of students and faculty. Stay tuned.AcknowledgementThis work was made possible by a grant from the National Science Foundation (NSF#2337003). Any opinions, findings, and conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References1. Chen, X., Brawner, C. E., Ohland, M. W., & Orr, M. K. (2013). A taxonomy of engineering matriculation practices. American Society for Engineering Education Annual Conference, Atlanta, GA. https://peer.asee.org/a-taxonomy-of-engineering-matriculation-practices2. Reid, K., Reeping, D., & Spingola, E. (2018). A
this understudied population.Here, we present a teaching intervention aimed at improving learning outcomes and engagementin an electrical circuits course (n=165) at an Electrical and Computer Engineering faculty byutilizing the concept of Problem-solving before Instruction during an applied module ontransients in second-order electrical circuits. Up to the presented activity, while DI has been thesole teaching methodology, students' feedback reflected the unit to be more of a mathematicaltechnical challenge, rather than an additional circuit theory insight. The intervention, whichtargeted a specific learning module of the whole course, had students work in groups to solveopen-ended circuit analysis problems utilizing differential equations
aimed at making the language clearer for the students and removing ambiguity. Theadjusted instrument was then administered in a pre/post manner to students in Spring 2024 andFall 2024.Preliminary results across all these terms indicated that students entered the class with anintermediate understanding of the subject matter, as reflected in their initial scores. As expected,misconceptions were common for concepts that are counterintuitive or deviate from students’experiences in the physical world. Subsequent analysis of the 2024 data revealed statisticallysignificant improvements in post-assessment scores, suggesting that students developed a morerobust understanding of the concepts throughout the course.The insights gained from administering
, specifically the context, cases, and unitsof analysis.Appendix F: Preliminary codebook created using theoretical frameworks Health disparities Discusses health disparities more broadly and the problems that need to be addressed Systemic biases Communicates systemic biases (i.e., racism, sexism, heterosexism, ageism, ableism, classism, etc.) that contribute to health inequities and Diverse teams States there is a need to have diverse teams that reflect the patient population and create inclusive environments Next generation of Discussion of preparing the next generation of engineers to address engineers health disparities Historically
. Furthermore, as the modules developed in the clinic begin to be implementedin courses, further study will be completed on the impacts on students involved in the learningtargeted by the modules developed by our clinic teams. Two courses at our institution have beenselected for student module implementation in the Spring 2025 semester, starting the integrationof the first soft robotic education modules into the curriculum.AcknowledgmentsThis material is based upon work partially supported by the National Science Foundation (NSF)under Grant No. 2235647. Any opinions, findings, conclusions or recommendations expressed arethose of the author(s) and do not necessarily reflect the views of the NSF.References[1] Y. Zhou and H. Li, “A Scientometric Review of
children to complete the activity on their own.Based on these findings, we revised four previously developed MAKEngineering kits [10] by theresearch team to target the needs of homeschool families. In general, the kits were designed tofollow an engineering design process – research, plan, create, test, improve, and reflect – similarto that of Teach Engineering [11]. See Figure 1 for an example. In this kit, children were taskedwith the following: You have been asked by a popular shoe company to design a new trendytennis shoe for unique needs of their four customers. Pick one of the customers and design atennis shoe to meet their needs. You decide to use everyday products to construct the tennis shoeprototype.Figure 1. Engineering design cycle for
Center for EducationResearch. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of these institutions. References[1] T. J. Moore, A. C. Johnston, and A. W. Glancy, “STEM Integration,” in Handbook of Research on STEM Education, 1st ed., C. C. Johnson, M. J. Mohr-Schroeder, T. J. Moore, and L. D. English, Eds., New York: Routledge, 2020, pp. 3–16. doi: 10.4324/9780429021381-2.[2] K. E. Dugan, E. A. Mosyjowski, S. R. Daly, and L. R. Lattuca, “Systems thinking assessments in engineering: A systematic literature review,” Syst Res Behav Sci, vol. 39, no. 4, pp. 840–866, Jul. 2022, doi: 10.1002/sres
than gender. There was noevidence to conclude any CT engagement differences connected with gender. This could bebecause students at this early age could have had minimal exposure to gender stereotypes.However, conducting future studies to confidently draw such conclusions is crucial.AcknowledgementsThis work was supported by the National Science Foundation under the Collaborative Researchproject Rethinking Circle Time: Integrating Computational Thinking into K–2 Literacy (NSF#2122736, #2122742, and #2122785), a collaboration between Purdue University, IndianaUniversity, and Iowa State University. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views
the Southern United States and teachers at a local metropolitan area elementaryschool. The elementary school reflects a student population that is 85% African American and isclassified as a Title 1 school, indicating it operates within a low-income district. Given that manystudents belong to communities that have been historically marginalized in engineering, earlyintervention through engaging and creative programming could contribute to long-termimprovements in equitable access to engineering education. The goal of this collaboration is todevelop and evaluate sustainable, age-appropriate classroom activities that show the possibilitiesof engineering, art, and design.Now in its fourth year, the collaboration has included a range of activities
reflection of this parental concern. The resultscan be seen in Table 4. These numbers do suggest that rural students show a strongerpreference for two-year over four-year institutions. Moreover, we looked at the “burnout rate”of NSSME+ participants who had enrolled in a post-secondary institution but dropped outwithout a degree. For rural students, 17.6% (±1.5%) fell into this category, compared to18.7% (±2.7%) for urban and 15.3% (±1.8%) for suburban participants.4 Examining Rural IdentityIn seeking to understand voting trends among rural populations, recent scholarship in politicalscience has suggested that rural populations subscribe to a complex shared group identityidentified as rural consciousness which [9]: • is grounded in a sense of
instance, Dickerson and Clark (2018) highlighted the value of simulation-basedlearning with SPICE tools, which develop circuit design skills and enhance students'understanding of complex concepts through experiential learning. Similarly, Lyshevski et al.(2012) explored how incorporating MEMS and nanotechnology reflects the interdisciplinarydemands of modern microelectronics education. Karabulut (2017) noted that innovativepedagogical models, such as the flipped classroom approach, engage students in active, self-reflective learning, critical for learning transferable skills using microcontrollers (Karabulut-Ilguet al., 2017).Engineering educators began integrating microcontrollers, such as Arduino, Raspberry Pi, orTexas Instruments Launchpads, in
engineering judgment in conclusions and productdevelopment. High scores in Spring (e.g., 4.30) reflect strong engineering conclusions in finalreports, consistent with the higher weight (15%) in Spring.Teams generally perform better in Winter (Progress) and Spring (Final), likely due to the iterativenature of project development.Fall (Proposal) shows lower scores, especially for modeling (PEI 5) and experimentation (PEI 7),suggesting initial struggles
young engineers struggle givingPowerPoint or poster presentations in front of an audience, with difficulties ranging from the softskills of volume control, eye contact, and punctuality, to the more technical aspects of showingdata and information in an efficient and visually appealing manner. More students ratedthemselves highly on other skills related to the SO’s such as (1) problem solving, (2) design, (3)written communication, (4) ethics, (5) teamwork, (6) testing and analysis, and (7) learning &application. The grades students earn in the course reflect their understanding of the course prioritiesand corroborate their perceived skill levels. Typical grades for the capstone course are in the A-B range (average 88-90%), with few
instructions within a manual. In doing so,students will have to demonstrate a higher level of comprehension. Project based learning hasbeen proven by Fiteriani [4] to increase metacognitive thinking in students and can also lead tobetter comprehension of studied material than a control group. Metacognition is defined asinternal cognitive monitoring by Flavell [5] or simply thinking about internal thoughts. This self-reflective cognition can be greater achieved in a project setting where students are givenguidance and direction, but not necessarily the exact steps to completion. The metacognitiveapproach also applies to equipment, testing procedures, and technology used by the students inthe laboratory project.The purpose of this project is to aid
to talk to, like a lot of professors, and like the people invested in the ELC community.”Students often reflected on the role of community building and mentorship. “I feel like getting to interact with people that are upperclassmen is probably the most valuable thing. Um, just because, they're already established with their STEM identity, so they get to pass that on. For me, it's really about mentorship. I found that to be the most valuable part.”DiscussionTo answer our research questions, the results illustrate 1) that participation in the LMP haspositively influenced the development of STEM identity among the mentees in a variety of ways,2) an array of specific factors within the mentorship program contribute
%) would choose not to take any action in response to uncomfortable learningenvironments while 4% of students and 3% of faculty remain uncertain about their response.This reflects a general reluctance to engage in formal complaint processes which may be due tofear of retaliation, lack of trust in institutional responses, or uncertainty about reportingprocedures.Additionally, respondents were asked to rate the university’s level of diversity. As represented inFigure B4, students and faculty had somewhat varying perspective. Engineering students ratedthe university “High” (42%) or “Very High” (27%), while faculty members were moredistributed, with 29% perceiving “High” and 12% deeming it “Very High”. The discrepancybecomes more evident when
dehumidification process.Figure 8: The HVAC system performance over the 5-year period for both the return air optimizedcase and the pandemic case. A) the rate of heat addition from the heating coils, B) the rate ofcooling provided by the cooling system, C) the rate of water addition for humidification (positive)and dehumidification (negative), and D) the power required to operate the HVAC system.Recommendations for System ImprovementThe final deliverable asks students to reflect on their observations and the given constraints topropose at least three improvements to the system to reduce energy consumption, costs, and CO2emissions, and provide a discussion or updated results incorporating these changes.While there are many possibilities to make improvement
to assess profitability, an outreach program might assess the costsin relation to the number of students attending or benefitting from an activity or an event [28],[29]. However, comprehensive assessment strategies can go beyond these simple ROIcalculations. These may include ethnographic observations, assessing partnerships andstakeholder values, and incorporating student reflections into a holistic approach to assessment[30], [31]. It can also be used to better situate the value of low-cost programs with lowattendance. Academic libraries can make more informed decisions and continuous improvementsto outreach for STEM and health graduate students by understanding the true impact of theirprograms.Outreach GoalsThe PSUL STEM Libraries
were biomass, geothermal, nuclear, tidal power,compressed energy storage, resource management, and the carbon cycle, reflecting a growingfocus on sustainable and regionally relevant energy education. While there were no notableregion-specific trends in the selection of energy-related topics taught across Nebraska, wenoticed that regions 3 and 6 adopted more diverse energy topics.Figure 3. Teacher responses to the questions: (a) Are the following topics about energy andrenewable energy technology currently included in the science curriculum at your school? (i)Concepts of renewable energy, (ii) Renewable energy-based applications, (iii) Energy fromwater, (iv) Energy from wind, (v) Solar energy, (vi) Other forms of renewable or non
: …. [Does] the department chair … looking at the portfolio of a particular candidate, and seeing they are doing some community engaged research, specifically find letter writers who can speak to that type of work in addition to others that might speak to their more traditional work?Participant: I think it depends on your chairs. Chairs have a lot of power, and probably if they value you, they'll go that extra step. If they don't value you, then they're just gonna be generic. And then it's a gamble. …. Cause I could think of some civil engineering former chairs that would have been rigid. … if you're in a department like mechanical, you have to be cautious. It's all about that reflection to say, Okay, here's my path. Am I in the
the first week of each of those three lab exercises. After completingtheir lab exercises in the second week of the lab, students were given a post-lab worksheet wherethey were required to reflect on their impact of measurement uncertainty on their lab results. Finally,students were required to submit their technical report one week after each of the labs, with theexception of the report for the ILE, which was due at the 11:59 pm on the Friday of Week 14 for allstudents. This deadline was set so that students could all have equal time to complete the peer reviewof an anonymous colleague’s ILE Report.Due to the protracted nature of the independent exercise project, all students were required to submittheir report to learning management system
) Deliver Activity at a Community College • Either Write or Record a Discussion of How the Activity is Properly Geared Toward Community College Students Interested in Engineering Careers and Share Ideas on How to Modify the Activity for Other Communities (e.g. High School, Elementary School, General Public ..) • Reflect on the value of this activity in developing each team member as an engineer.Overall, more than 50 students, 20 faculty and 20 working engineers will be engaged in thisOutreach and Networking project, with 50 students and 15 faculty funded to attend the in-personworkshop. Each of the participants has been asked to provide continuous feedback on thequestions from the Venn
Motivation by Ungrading,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, Toronto ON Canada: ACM, Mar. 2023, pp. 631–637. doi: 10.1145/3545945.3569747.[8] S. Li, Y. Pauchard, and A. Ghasemloonia, “Classification of Alternative Grading Approaches: Review and Reflections from Practice,” in 2024 ASEE Annual Conference & Exposition, 2024.[9] K. E. Lyboldt, K. D. Bach, A. W. Newman, S. N. Robbins, and A. J. Jordan, “Impact of Satisfactory/Unsatisfactory Grading on Student Motivation to Learn, Academic Performance, and Well-Being,” J. Vet. Med. Educ., vol. 50, no. 5, pp. 554–563, Oct. 2023, doi: 10.3138/jvme-2022-0020.[10]J. Pascal, T. J. Vogel, and K. Wagstrom, “Grading by competency and
converting textualdata into numerical representations that machines can process. Fig. 4 depicts the fundamental ideabehind word embeddings, where words are mapped to high-dimensional vectors in a continuousspace, enabling mathematical operations on textual data. For instance, in a well-constructedembedding space, technical terms from related engineering domains would be positioned closertogether (e.g., clustering terms like “stress,” “strain,” “deformation,” and “mechanics” inaerospace solid mechanics) in proximity to reflect their interconnected conceptual relationships.This transformation allows LLMs to capture semantic relationships between technical vocabularyand process language in a computationally efficient manner.Example 3: Consider an
upbringing varied. Some were parents. The disciplines represented by the participantsspanned Civil Engineering, Environmental Engineering, Industrial Engineering, Biology,Environmental Science, and Public Health. Most conducted community engaged research, withmotives for graduate education that included helping people through their work. The academiccontexts for their graduate education and early career experiences spanned public and privateinstitutions across the U.S.; R1, R2, and Master’s Carnegie classifications; Predominantly WhiteInstitutions, Historically Black Colleges & Universities (HBCUs) and Hispanic ServingInstitutions (HSIs).The stories from five women that will be highlighted in this paper reflect the recent past andcurrent issues
segment learning outcomes measurements.Development of self-efficacy scale items for GELFollowing from the program’s capabilities-based curriculum [10], GEL utilized self-efficacy scaledesign guidelines [14] to develop assessment items that align with capability action descriptions. Inthe assessment model examined in this paper, these items, 29 in total (shown later in Table 2), areorganized into a hypothesized set of eight capability categories. The category scheme follows thatof the Capabilities [10], yet with the two largest original categories (by item count) divided intosmaller component categories that reflect how learning in related areas in the program is organizedin practice. This results in eight capability categories: Initiative and
assignmentconducted by multidisciplinary students from the Mechanical Engineering, Electrical Engineering,Renewable Energy Engineering, Biological Sciences and Business/Management departments atthe Oregon Institute of Technology (OIT). It recently won the Oregon Tech IDEAFEST 2024Award in June 2024, as well as a research project supported by the OR State Legislature throughthe Oregon Renewable Energy Center (OREC). OIT has been known for its hands-on, integrated(multidisciplinary approach) engineering program – and it was reflected well in this AGRO-PVDome project. I. INTRODUCTION Achieving the Net Zero Emissions scenario by 2050 in US requires more solar energyproduction — but it must not be at a cost to
for students to apply in future writing situations [13]. This isespecially true when students encounter an instructor who has a different system of markingpapers than teachers in their previous experience. For example, some instructors underlinesentences as positive feedback while others use underlining to indicate a problem. For students,the lack of clarity results in feedback being of limited use. Similarly, students need a clearunderstanding of how exactly to revise problematic writing. Many instructors use “facilitativefeedback,” which attempts to guide students toward revision using questions or reflections [14].Such feedback is written with the goal of maintaining student ownership over the work, butstudents who are unsure of their
to use AI inthe workforce. MSU has emphasized AI’s implications for education, ethics and studentadvising, reinforcing its focus on responsible AI use.At each institution, some faculty embrace AI’s potential to enhance learning and research, whileothers demonstrate skepticism or opposition. At KSU, faculty development initiatives have beenintroduced to help instructors integrate AI into their work. This supports both research andteaching applications. ISU has sought to standardize AI-related policies and resources to provideinstitutional guidance. Achieving broad faculty engagement is an ongoing effort. Meanwhile,MSU’s more restrictive approach reflects concerns about plagiarism and misinformation. Thishas likely influenced faculty