’ perspectives.This is an explanatory sequential mixed method study based on the Diffusion of Innovations (DOI)theory framework. This work-in-progress (WIP) paper will report on instrument development,sampling procedure, planned data analysis, and current progress. This research will also broadenknowledge on applying DOI theory to increase recruitment effectiveness.Keywords: recruitment challenges, diffusion of innovations theory, underserved students, bridgeprograms, communication channelsIntroductionThere has been increased national attention on the recruitment and retention of underservedstudents such as underrepresented minorities (URMs), women, first-generation students, lowsocio-economic status (SES) students, rural students, LGBTQIA+, veterans, and
combined office hours for the learning communitystudents never suffered from lack of attendance. This arrangement turned out to be effective in terms ofstudent participation and engagement. The students seemed to enjoy spending time with the faculty andthe teaching assistants outside class time. Both, the lunches and the office hours were informal, wherestudents were not limited to course-related topics only. Some of the topics that came up during thelunches were the students’ curriculum, their future career plans, questions about the different engineeringdisciplines, or just plain daily conversations. Providing time for students in an informal environment totalk about such topics in a stress-free manner encouraged them to think and discuss their
into However, that is not always the case: referring to Lamming the supply chain processes by first optimizing the needed & Hampson (1996) who reveal in their study: “In U.S.A., resources. Furthermore, the act of combining IT system can an estimated 75% of consumers claim that their purchases make things much easier by creating an effective supply are influenced by reputation and 80% would be willing to chain planning, implementation, and association [47]. pay more for environment friendly products” [52].• Poor Organizational Structure • Lack of Green Practitioners This can be emphasized from
with students from public schools in New Orleans, where they conductedhands-on chemistry demonstrations and had discussions about STEM education. This, paired withself-reflection activities, helped students think and plan for their future in STEM fields, and this isespecially impactful given that they were in the k-8th grade age [11].In the work of Tomat (2020), the authors presented a STEM program focusing on inspiring thenext generation of STEM workers called “Chemistry Discovery,” which was a service learningoutreach program that was conducted by undergraduate students from the University of Arizona.During the program, the students aged between 11-14 years old watched live demonstrations ofreactions such as the clock reaction and luminol
and compliance. To address this, future studies plan to collect data beyond self-reported surveys. For example, holding interviews with the students without their professor could allow students to openly and honestly share their experiences with AI in a relaxed setting without the worry that the professor could identify the student as was possible in the Canvas learning management system. Additionally, considering more concrete measures of learning outcomes such as student grade distributions could provide more evidence beyond student perceptions of learning environment. Creating scenarios in which students are asked to make decisions in real life situations involving AI tools could provide clearer
thenintentionally not propagate the uncertainties to calculated quantities. Either these students did notunderstand how to do the calculation, or they were willing to receive a grading penalty for omittingthe calculation. In future semesters, the author plans on adding a second class on uncertaintyanalysis after the first experiment, during which the instructor will work with students to perform theuncertainty analysis using Microsoft Excel. Showing how to practically perform uncertaintyanalysis, using their own experimental data, may provide students with the required confidence tocalculate uncertainty on their own.Improvements can also be made in the technical writing aspect of the course. The current iteration ofthe course does not include any
the nature of work inengineering professional settings. In terms of implications, educators need to be mindful of howengineering design courses are planned and would benefit from incorporating mindfulnessepisodes within the lesson when students transition to tasks that require empathy. Thesemindfulness sessions may vary in length and research has shown that short sessions ofmindfulness lead to positive impact and improved self-awareness (Nolte et al., 2022).Making empathy visible in engineeringAlso in the review, scholars have highlighted that discrepancies in the ways we conceptualizeempathy impacts educators’ sense of its utility in their courses. These discrepancies may stemfrom how we understand the purpose of engineering work and the
constructioncurricula, ensuring that graduates are ready to meet the fast-evolving demands of the industry. Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 3 Literature ReviewThe Evolving Role of AI in the Construction IndustryThe construction industry has embraced digitization at varying degrees of maturity, with artificialAI increasingly recognized as a pivotal driver of innovation in project planning, cost estimation,and quality control (Holzmann & Lechiara, 2022). This
-speed camera testing is planned, to verifythe belt operates at the expected diameter in low range, verifying the ratio.The predicted and experimental torque output results for primary spring P4, with 60 lbf/instiffness and 3in original length, in combination with 125g per flyweight arm, and a 22.5 lbf/inlinear and 0.21 lbf in/deg torsional stiffness secondary spring, are given in Figure 6. A shift inthe engine RPM is present, as a lower engine RPM is present in the predictive model for theequivalent torque value experimentally. This result is consistent across the various combinationsof springs and flyweights tested. Figure 6: Torque Comparison for P4 Spring 125g per ArmThe torque results are based on the published torque
real-world problems. The researchers used “wicked problems”,problems that are complex and require multiple perspectives from academic and non-academic stakeholders to create innovative solutions [28], as the starting point of students’projects. In Germany, Kuentzer et al. [36] asked the students to design a simulation-basedvehicle platform, evoDash, which was used in real life.Other approaches include using simulation systems or projects, such as a simulationexperiment system to train students to solve engineering problems related to wind power [3].Sherris et al. [31] simulated a case study in their workshop series that simulated a communitystakeholder so that students could create an action plan based on the simulated scenario.Overall
complex array of coding categories, and planned addition of interviews withindividual posters who can provide feedback about the accuracy of our interpretations of theparalinguistic elements in the context where they are being shared. Future work will also includeat least one other type of STEM-related community of practice, so that we can look for similar ordifferent patterns between the types of communities of practice. Another possibility for futureanalysis and consideration is whether and how the multimodal nature of emoji, hashtags, andimages combined with text affords unique opportunities for signification of membership inmultiple communities in these dense utterances that are social media posts [15].ConclusionIn this study, we examined the
, “Problem Formulation in Planning and Design,” Manag. Sci., vol. 29, no.6, pp. 639–652, 1983.[32] T. B. Kashdan, P. Rose, and F. D. Fincham, “Curiosity and Exploration: FacilitatingPositive Subjective Experiences and Personal Growth Opportunities,” J. Pers. Assess., vol. 82,no. 3, pp. 291–305, Jun. 2004, doi: 10.1207/s15327752jpa8203_05.[33] S. Youssef, M. E. Ita, and R. L. Kajfez, “Student Comprehension of and Growth inCreating Value with an Entrepreneurial Mindset,” presented at the 2023 ASEE AnnualConference & Exposition, Baltimore, MA, Jun. 2023. Accessed: Feb. 05, 2024. [Online].Available: https://peer.asee.org/student-comprehension-of-and-growth-in-creating-value-with-an-entrepreneurial-mindset[34] S. D. Streiner, C. A. Bodnar, K. Mallouk
). Oftentimes inschools, an attempt to focus on STEM can lead to actually ‘siloing’ science and math as separateentities. Teacher preparation, until most recently, did not include the integrated subjects ofSTEM, which was not only true at the 7-12 grade levels, but especially true at the elementaryand early childhood levels. The lack of effective teacher training for STEM content and theNGSS negatively impacts K-12 students as they lack positive engaging hands-on experiences inSTEM education that is very motivational. Prepare and Inspire [1] states that “we must inspire allstudents to learn STEM and, in the process, motivate them to pursue STEM careers.” There is adirect link between teachers’ self-efficacy in their ability to plan and facilitate
provided the impetus for doing a project and the final goal, but theprofessor had to scaffold the students’ work to ensure they did not “wait until the last minute”and leave the project incomplete.The degree to which professors tailored the challenges to their contexts increased across differentyears of professors’ implementation. For example, one instructor mentioned having students inprevious years who “[had] not been able to come up with their own ideas” in response tochallenges. As a result, the instructor decided to have “projects pre-planned for the students.” Bypredetermining the project topic and identifying solutions for students to pursue, the instructorcould overcome barriers of student comprehension, increase the relevance of the
(among other tasks), the majorityof students supported AI in the classroom as a tool to support their learning, although theycautioned against relying on it too much. One student asserted, “I will always consider using AI,however, I will always verify the information that it provides me.” Students in this course alsostressed the importance of clear AI usage policies to empower them to use it effectively whileavoiding honor situations. Students overwhelming reported that they plan to keep using AI infuture classes and other life endeavors. After all, that is a foundational purpose of education – toempower students to think about problems and teach them tools to move forward in life. All ofthese points combine to strongly suggest that AI is an
resilience of transportation infrastructure in the face of sea level rise, with a particular emphasis on coastal vulnerability and adaptive planning for future climate scenarios. Tolulope is passionate about engineering education and research, with a strong appreciation for field experiences that bridge theory and practical application.Mr. Pelumi Olaitan Abiodun, Morgan State University Pelumi Abiodun is a current doctoral student and research assistant at the department of Civil Engineering, Morgan State University, Baltimore, Maryland. Pelumi got his BSc and MSc degree in Physics from Obafemi Awolowo University, where he also served as a research assistant at the Environmental Pollution Research unit, in Ile-Ife
in academic and research libraries.Keywords: Bibliometric Analysis, Automated Reporting, Data Extraction, Research Impact,Academic LibrariesIntroductionEvaluating research impact and analyzing scientific collaborations are fundamental tasks thatcontribute to the advancement of knowledge and strategic planning in academic institutions.Bibliometric analysis is a crucial tool in this context, as it provides quantitative measures ofscholarly output and influence 1,2 . Bibliometrics uses citation counts, publication metrics, andcoauthorship networks, allowing researchers and funding agencies to assess the dissemination andreception of scientific work 3,4 .Bibliometric analysis has evolved significantly over the past decades. Foundational works
more likely to be offered as an addition to otherengineering offerings (59%) than engineering/general (N=102) programs (30%). Also, it can beobserved that general programs are more likely to be the only program at an institution (56%)compared to engineering science/physics programs (23%).Of non-disciplinary engineering programs that have been initiated since 2010 as the onlyprogram at an institution, only 1 is identified as engineering science, 4 are identified asengineering physics, and 34 are identified as engineering/general. In that same time frame, 2engineering science/physics programs were transitioned to engineering/general programs. Forinstitutions planning to start offering an accredited engineering degree, the best choice wouldappear
disabilities should have equal privileges to use an application like everyoneelse. To do better, we need to incorporate them in our plans during development. This inclusionensures that their specific needs and challenges are addressed, leading to a more inclusive anduser-friendly experience for all.”5.2.3 Envisioned Accessible Designs and PracticesStudents uttered accessibility features they would consider when designing mobile apps, such asvoice commands for people with physical impairments and blind people, built-in screen readersfor blind people, and customizable versions for different disabilities. One student talked abouthow customizing text size could enhance older adults’ digital experience, applying knowledgelearned to a new accessibility
and plan for long-term stability andexpansion of the stakeholder cafe student-stakeholder interaction model.Improvements to the Student-Stakeholder Interaction ModelThe overall framework of the student-stakeholder interaction model remained unchanged fromFall 2023 to Fall 2024, and the overall process is shown in Figure 1 [CEEA 2024]. Key changeswere made to the preparatory student workshop and student-stakeholder conversations.Fig. 1. Student-stakeholder interaction model process [19]For the preparatory workshop, the core goal of preparing students for the student-stakeholderconversation and associated content remained essentially unchanged by explaining event rules,reminding students of best practices, and providing an opportunity for
pre-calc. She just said thatengineering is math-heavy and it’s just going to keep getting harder so maybe you should look at a degree thatdoesn’t involve math. I responded with several emails to her, with my parents' help, trying to get [recovery plans]laid out and she didn’t respond to one of them - like, no response at all. I mean, even my parents were like, how doyou tell that to somebody? You know? Yeah, that was like, you’re joking right?” Despite this interaction, his confidence in being able to succeed as a practicing engineer did not waiver.He continued to express confidence that, based on the work experiences he had through the career center, he wouldbe able to find a career in engineering that highlighted the elements of
facilitate faculty dialogue and inspire action.Later, the focus shifted toward action, culminating in sessions designed to translate theknowledge and reflections from the semester into tangible plans for positive change. Thesesessions were scheduled after a semester of weekly challenges and guided workshops, ensuringthat participants arrived with a shared framework, an understanding of key concepts, andpreliminary ideas for improvement. We used tools such as rubrics to assess current efforts andidentify areas for growth, and held a half-day retreat which included a visioning board exerciseto collaboratively imagine the future of engineering education. This scaffolded approach evolvedover time and provided a deliberate progression from individual
ofthe course work. It is challenging to keep the student engagement rate as high as the start of thesemester, but the mixed clicker model was successful in lowering the drop rate for 80% of thesemester. The lack of sims for the topics that constituted the final 20% of the semester may haveresulted in a higher drop rate. Potentially this can change if more sims are utilized. Similar dropand rise trends for major semester events such as midterms and breaks were also observed, whichpoints out the necessity for planning for successful student engagement. It is also observed that,if there is no sim, the attendance trends are identical, however mixed questions seem to disruptthese patterns, attendance drops are slower and climbs are faster, always a
institution. In an odd coincidence, the deathof a non-student then took place at the U.S. East campus a couple of weeks later. The survey was launchedat U.S. East on October 24, which the team believes affected response rates at the sites as well (~5%). Thelaunch of the survey at U.S. Midwest was re-scheduled to the beginning of the Spring 2023 semester, andwas launched on January 23, 2023 with more satisfactory response rates (>10%). For Year 2 of our datacollection, we plan to maintain the different timing for data collection between institutions, but we willensure that for both data collection periods (Fall 2023 for U.S. East, and Spring 2024 for U.S. Midwest) weoffer the survey as early in the semester as possible to maximize response rates
consideration to alternativeperspectives.Human-Centered design was described as vital for ethics and considering the value of designs inrelation to engineering [26, 65]. Contextualizing problems was important for thinking about thebroader impact of designs on others and for finding more inclusive solutions [65, 66]. Oneparticularly creative approach to developing such skills, and thinking about the needs of others,was curricula established around “alien-centered design” [67]. Students were tasked withthinking about “a new, inter-galactic student exchange program planned with students from theplanet Xenos” in two courses. As part of the process, students in one of the courses applied moretraditional design methodogolgies to learn more about their
] • Lack of clarity on tenure/promotion [7], [14] • Higher expectations and less networking [7] • Tenure system structure [19] •Personal concerns 3 Family issues (parental status, childcare, caregiving, household responsibilities, family planning) [5], [14] • Low self-confidence [12]Not specified