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
environmentalists, among others. Therefore, Colombia presents a test case of the scope and limits of globalization and of the efforts of various groups to resist it to bring more livable and dignified social and ecological models.[17]Hence, Colombia’s problematic history with the project of development makes it an ideallocation to reflect on the colonizing and perverse effects of this project, map possibilities forlocally led development, and for develop HE education and practices that could enhance LLD.PositionalityThe author of this paper was born and raised in Colombia until the age of 13 where I learn tovalue, understand, and work with people from the poorest sector of society even at a young age.He then moved to the US to finish high
safe space had to be created for everyone tobe in a position to trust another mentor/mentee again. In respect of the graduate student’s wishes,only the faculty story will be shared: “Mentoring for me had to be in the forefront […] my first Ph.D. mentoring experience ended up not being the best experience. Not necessarily because I was not committed to the mentoring relationship, but because the student was not. That led me to reflect on what mentoring means. It just so happened I was recruiting my second Ph.D. student at the time. They had just come out of a very difficult mentoring relationship with a previous advisor. Both of us were very hurt, scared, and confused. We weren't sure if this new
). This distribution highlightsthe general recognition among students of the importance of evaluating risks when using ordeveloping AI tools.Moreover, Figure 8b demonstrates a striking split in the student population in estimates ofP(doom). Among 664 responses, the mean estimate was 46.7 (SD = 28.0). However, the KDEplot highlights two prominent clusters, confirmed by a kurtosis test as another bimodaldistribution (Kurtosis = −12.9, p < 0.05), with one peak around 21.1, representing studentswho are relatively less concerned, and another at 60.8, reflecting higher concern. Separating thestudents into two subgroups delineated by the inflection point between these two peaks at 40,44% of the population (n = 290) estimated low P(doom) while the
transfer, with knowledge generally flowing unidirectionally from universities toexternal entities (Striukova & Rayna, 2015). This dynamic has created a clear division whereuniversities primarily generate knowledge, and industries focus more on implementinginnovation. However, many businesses, particularly in China, appear to in buildingindependent innovation capacity and in translating cutting-edge technologies fromuniversities directly into market applications. As a result, they tend to prioritize short-terminnovation activities, such as patenting and consulting, over long-term R&D initiatives,reflecting their limited capacity for industrial research (Chen & Liu, 2017).To address the challenges faced by businesses in adopting advanced
cited theories are constructivist in nature; that is, focused on how personal experiencesrelate to new knowledge in order to construct meaning [9, 22]. Robust VR design also incorporatescognitivist ideas including the cognitive theory of multimedia learning and cognitive load theory,which is particularly relevant for developers and discussed in a later subsection. For educators,constructivist theories such as experiential learning theory, situated learning theory, and guideddiscovery learning theory have great potential to be enhanced by VR.Experiential learning theory states that learning occurs through a cyclical process of concrete expe-riences, reflective observation, abstract conceptualization, and active experimentation [23]. Experi
,which revolved around three major themes.Seminar Impact 1: Engaging with CommunitiesAn area of emphasis across multiple seminars was the importance of building relationships withmembers of the community that a project is meant to serve. Those ideas resonated with the Fellows,who expressed that many of the seminars expanded their understanding of what it means to trulywork with communities in meaningful ways. The fellows’ reflections on the seminarsdemonstrated how they are moving beyond the basic view that working with communities isimportant, toward a deeper understanding of the complex dynamics that underlie any partnership: Sometimes, a new technology might sound good to the people who develop it because they have the data and
demonstrate the feasibility of the approach adopted butalso reveal critical areas for reflection:● Architectural decisions: FastAPI was wisely chosen for the backend because of its flexibility and ability to integrate with AI tools such as LangChain. However, reliance on a single language model (Llama3.2) limited customization capabilities compared to GPT-4, although it significantly reduced costs.● Comparison with previous work: In contrast to the use of Petri-Net in earlier research, the use of LLMs allowed a more dynamic and adaptable analysis, especially in educational settings with high variability. However, the unstructured approach also entails a more significant effort to ensure consistency and validation of workflows.● Impact on
first-year course without expectedprerequisite knowledge, this content has been de-emphasized in subsequent offerings of the BSI.This is also reflected in the GPA data, as there was little disparity between BSI and generalstudent performance in the first-year programming course. Student comments on curriculumcontent highlight a need to further refine the continual improvement practices of the BSI contentto ensure the physics fundamentals taught align as content is updated within the first-yearengineering program.Student experiences within the BSI program varied depending on their cohort year. Studentscompleting the program during the COVID-19 pandemic indicated their learning experiencesuffered. Students completing more recent iterations of the
understandable by rising10th to 12th graders.” This comment reflected instructors’ efforts in designing and deliveringlectures appropriate for high school students; maybe the number of lecture slides and the lengthof presentations could be reduced based on student feedback. When asked about any recommended changes for future NSTI programs, a few studentsleft the question blank, indicating they were happy with the program and had no suggestions.Some students just gave positive comments rather than suggestions. For example, one studentwrote, "I will not change a bit about the programs. I think I know this is a good program whenmy sister goes to freshman year I'm going to tell her”, and another student responded, "no, notreally it was very fun and
they put into the program, themore benefits they will reap from it [13].References:[1] C. S. E. Jamison, A. A. Wang, A. Huang-Saad, S. R. Daly, and L. R. Lattuca, “BME Career Exploration: Examining Students’ Connection with the Field,” Biomed. Eng. Educ., vol. 2, no. 1, pp. 17–29, Jan. 2022, doi: 10.1007/s43683-021-00059-8.[2] J. Berglund, “The Real World: BME graduates reflect on whether universities are providing adequate preparation for a career in industry,” IEEE Pulse, vol. 6, no. 2, pp. 46–49, Mar. 2015, doi: 10.1109/MPUL.2014.2386631.[3] R. A. Linsenmeier, “What makes a biomedical engineer?,” IEEE Eng. Med. Biol. Mag., vol. 22, no. 4, pp. 32–38, Jul. 2003, doi: 10.1109/MEMB.2003.1237489.[4] R. M. Desing et al
interviewee shared “new graduatesshould have a natural sense of curiosity and a desire to learn. They should not be afraid to ask forhelp or guidance”. One of the attitudes that graduates must develop is the drive to build a career, whichencompasses behaviors like showing initiative, asking thoughtful questions, and maintainingpassion for their work. This drive indicates to employers that a candidate is committed tocontinuous growth and taking responsibility for their professional development. One employernoted, “The willingness to take on challenges and show enthusiasm for learning is what setsapart candidates who thrive in the industry.” Such behaviors reflect an intrinsic motivation that isessential for navigating the complex and dynamic
in this course if Ifollow the course curriculum and do the assignments as given to me by my instructors” in bothpre-course and current perceptions (mean ± std: 4.51 ± 0.64 and 4.37 ± 0.83 on a 5-point Likertagreement scale, respectively).Table 1: Survey data reflecting student pre-course and current perceptions of the senior designexperience. Differences were considered significant for αadj = 0.0125. a indicates assessment on a7-point Likert agreement scale (1 = entirely a course for graduation, 4 = equally a course forgraduation and a project experience, 7 = entirely a project experience); b indicates assessment ona 5-point Likert agreement scale (1 = strongly disagree, 3 = neither agree nor disagree, 5 =strongly agree); ** indicates
tend to have a stronger sense of engineering identity, demonstrated by their responses on ascale measuring engineering identity developed by Borrego et al [23]. There is one outlier, arespondent who reports a current “complete overlap” between their personal identity and theidentity of an engineer (see Figure 1). The fact that respondents who have relocated also reportmore overlap when reflecting on their identity as a student (Figure 2) implies that there may be arelationship between the strength of engineering identity in an individual and their likelihood torelocate. This relationship will be probed in further research, specifically in interviews during aforthcoming qualitative research phase. 8
the sample reflect the contributions of computer science and engineering to the development of QISE courses and programs. • Minority Serving Institutions (MSIs) play a crucial role in advancing educational opportunities for historically marginalized populations, aligning with the goals of fostering diversity in QISE. Additionally, three legislative initiatives motivating this work—the National Quantum Initiative Act (NQI), the CHIPS Act, and the National Science and Technology Policy (NSP)—all emphasize the need for increased diversity in QISE [1, 3, 2].All of the institutions included in this study account for 98% of engineering bachelors degreesawarded in the most recent year for which Integrated Postsecondary
that this paper serves as apractical guide for using LLMs for the simulation and early optimization of experimental designsacross disciplines.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under MCAGrant No. 2120888. The first and second authors (MF and MV) were supported by an NSFResearch Traineeship (TRANSCEND) under Grant No. 2152202 at the time this research wasconducted. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] B. Dong, J. Bai, T. Xu and Y. Zhou, "Large Language Models in Education: A Systematic Review," in 2024 6th International
diversity of population andmatches the student outcomes criteria for ABET accreditation [23]. The skills needed to enter theengineering industry in the past decade remain mostly unchanged from previous years andclosely follow the ABET standards, which reflect industry input.AI Effect on Professional Skills Using AI in engineering undergraduate classrooms has been gaining in popularity withChatGPT being the far most used generative AI tool. Chatbots have been used since the turn ofthe century, initially as rule-based systems and algorithms for frequently asked questionresponses and tutoring types of person-computer interactions [13]. In 2023, the use of ChatGPTby students in undergraduate engineering showed only a 4% AI use on a weekly basis
researchers have focused on assisting faculty withimprovement of their teaching practices through self-reflection or on providing faculty with newteaching resources or technologies that are broad and applicable in a variety of contexts. Withinthe research literature, successful strategies have been identified to specifically focus onchanging faculty conceptions and beliefs [2]. These strategies often create meaningful conceptualchange in faculty, which results in changes in practice [3], [4]. This has also been demonstratedwithin other educational levels, with the K-12 literature also demonstrating that significanteducational change necessitates changes in beliefs [5]. Over the past four years, our National Science Foundation (NSF) IUSE