5 Peer Eval 5 Final Briefing 5 Instructor Points 5 Table 1: Point weighting summary for courseGrades. Grades are assigned on an individual basis, with input based upon the team’s performanceand instructor assessment of the individual’s performance. The instructor factors in feedback fromguest reviewers during presentations, as well as peer input. Detailed guidance on content and gradingfor each deliverable is provided by the instructor at the beginning of the semester and then reviewedprior to the period of time where the student teams are expected to begin work on these.Class Participation. The grade for class participation
assessment, intensifies gender and racialinequities within engineering workplaces [15]. Their analysis of data from a nationwide multi-year study suggests that while women were more likely to be shoulder-tapped for theseassignments, men experienced more favourable career advancement upon completing theseassignments [15]. Further, racial minorities within engineering workplaces, such as Black andIndigenous engineers, were granted the fewest opportunities to showcase their aptitude throughstretch assignments for advancement purposes [15].Engineering CultureThe culture within engineering has often been described as ‘hostile’ and ‘chilly’ to under-represented groups [16]. Cech and Riley, among others, have identified a dominant meritocraticideology
includeother projects. The highest scored areas (92-93%) were SO’s 1a (STEM problem solving), 2a(just discussed), and 6 (testing and analysis). All these items are heavily emphasized in thecapstone process using the engineering trident of “design, build, test,” so it is reassuring that thestudents recognize this in the survey and clear based on course grades and project quality thatstudents can apply these principles to their projects. The guide to an ABET-focused engineeringcapstone course [8] based on this approach was developed to ensure that all required studentoutcomes were met regardless of the instructor teaching the course. The additional non-ABET-related aspects of the course assessed in the survey, addressingpractical applications and
network with alumni of the program.Before the orientation, all students take a survey that tracks students’ FOK as well as graduationcertainty, belongingness, engineering role identity, and demographic information. The surveywas previously developed and validated as part of another NSF grant and is available openaccess [28]. The survey was administered by our external evaluator, who also removedidentifying information and sorted the data for the faculty team to examine. Students took thesame survey after they graduated, to help the team assess changes over time. A subset of ourstudents who have demonstrated unmet financial need receive a scholarship funded by the NSFS-STEM program. (At the graduate level, demonstration of unmet financial need
assessments that promote problem solving skills rather than promoting memorization. The second is about how and why values-based learning outcomes should be scaffolded into STEM curricula and capstone experiences. Dr. Vale believes that building student and faculty appreciation of the intersections between social justice and engineering is crucial to empowering engineers to fulfil their mandate to serve the public. She brings this view to the classroom, to curriculum design and development, and to her research.D’andre Jermaine Wilson-Ihejirika P.Eng., University of Toronto D’Andre Wilson-Ihejirika is currently a PhD candidate at the University of Toronto within the Institute for Studies in Transdisciplinary Engineering
? ● How do we generate sound? ● How do we make music from data? ● How do we map data to sound? ● Can we “hear” the data in music and sound art?The students will be assessed with several low-stakes assignments plus three projects. In the firstproject, students will design a device that transforms data into sound. Focusing on practical, real-world applications, students will identify a specific problem or need and conceptualize a devicethat provides auditory feedback. Their designs may address diverse fields, such as monitoringenvironmental changes or enhancing healthcare diagnostics, encouraging students to explore thesocietal impacts and benefits of auditory data representation. The project will challenge
well as leadership development [11]. Inour program, incoming first year students that self-select into the learning community receivementorship for one year, and some of them continue and serve as mentors in their sophomoreyear. Moreover, since the program has been in effect for 5 years, we invited the participatingstudents from all five cohorts to be involved in our study, although only some of themresponded. An important aspect was being able to include students from previous years whichprovided a unique perspective having participated as both mentee and mentor, while otherstudents provided feedback only having been a mentee. Analysis of the data identified keyfindings: peer mentorship improves assessment performance for both mentee and
and our increasingly polarized society.Group Concept Mapping (GCM) MethodGCM is a participatory, mixed methods approach used extensively in behavioral and socialresearch for over 35 years. The GCM method has enabled evidence-based advances in fieldssuch as medicine, psychology, and civil engineering [10], [25], and [26]. One example of theseadvances is the needs assessment of the Science of Team Science (SciTS) field in 2010, a well-established research community of practice [27]. Another example is the advance of theoreticalframeworks, such as the Social Sustainability Framework for Construction Projects [28] and[29]. GCM also has supported university planning, curriculum development, and equity-relatedinitiatives [9] and [30].In applying
enhanced academic support,including female faculty advisors, supplemental instruction roles for female students, andmentorship for high-attrition courses such as Thermodynamics and Solid Mechanics.To assess the impact of these initiatives, this paper employs qualitative coding analysis ofstudent testimonials and survey responses. Using the Braun and Clarke thematic codingframework [14], [15], [16], key themes have emerged, including the significance ofmentorship in overcoming self-doubt, the role of peer networks in academic persistence, andthe impact of structured career exposure on professional confidence. By analyzing theseinsights, this paper provides data-driven recommendations for strengthening femaleengagement in mechanical engineering.This
project, new programmatic elements are focused on the very different andgeographic distant student experiences at the 20 local hubs because transfer processes and local supportinfrastructures vary greatly by institution and state. Supported students will be brought together in-personin March 2025 to build their personal professional networks by working together on mentored teams.2TO4 assessment is focused on the extent to which each programmatic component isimplemented with fidelity and whether the program has built the necessary capacity to supportstudents. Formative feedback from each participant is collected and student progress is tracked.Key to the success of the project is building and maintaining trust and equitable partnerships,along with
Intelligent Agents,Culturally Responsive Pedagogy, Automated Assessment and Feedback, CollaborativeLearning with AI, Long-term Learning Analytics and Adaptation, and Ethical Considerationsand Bias Mitigation. By tackling these research challenges, generative AI and pedagogical agents could becombined to produce highly engaging, personalized, and adaptive learning environments thatwould transform education for a range of student populations.7. Conclusion The integration of Pedagogical Agents (PAs) and GenAI in education holds transformativepotential, particularly for students in K-12 education. PAs, enhanced by advances in GenAI,have evolved from static, pre-programmed tools into dynamic, adaptive systems capable ofengaging students in personalized
Paper ID #48638Green Zone Training – Aligning Faculty and Staff Perceptions of StudentVeteransDr. Alyson Grace Eggleston, Pennsylvania State University Alyson Eggleston is an Associate Professor in the Penn State Hershey College of Medicine and Director of Evaluation for the Penn State Clinical and Translational Science Institute. Her research and teaching background focus on program assessment, STEM technical communication, industry-informed curricula, and educational outcomes veteran and active duty students.Dr. Ronald W. Welch P.E., The Citadel Ron Welch (P.E.) received his B.S. degree in Engineering Mechanics from
, there areabout 28 NPMs assigned to the course. Each NPM holds weekly discussion sessions andmanages approximately five student teams within their assigned discussion session. They gradestudent assignments and review Comprehensive Assessment of Team Member Effectiveness(CATME) peer evaluations [29, 30] associated with team submissions related to the semesterdesign project. Before the start of the semester, NPMs undergo a day-long orientation sessionthat is primarily focused on course logistics. During the semester, NPMs attend a weekly groupmeeting with the course instructor where they can troubleshoot any concerns with their studentteams [31]. NPMs are expected to notice, investigate, and address team conflicts, but do not gothrough any formal
graduation in 2025, Gracie will be pursuing a master’s degree in structural engineering and plans to further continue her education with a PhD in engineering education.Hayden J Wulf, University of Nebraska - Lincoln Hayden Wulf is a fourth-year civil engineering undergraduate at the University of Nebraska - Lincoln (UNL). She has been an undergraduate research assistant within the Engineering Education Research department at UNL for the past two years under the guidance of Dr. Grace Panther and Dr. Heidi Diefes-Dux. Her research during this time has focused on instructor adaptability, active learning and assessment practices, and transparency between instructors and students. She has presented one previous paper on
teamwork and leadership learning into the upper-year courses. She previously designed an online team-based self- and peer-assessment system that was used in multiple Canadian universities. She has also taught leadership and teamwork courses at Northwestern University, where she is a Leadership Fellow. Prof. Sheridan holds a BASc and MASc in Mechanical Engineering, and a PhD in Engineering Leadership Education. She has previously worked on large plant-design teams in industry, and on algorithms to develop co-operative multi-agent systems in robotics.Dr. Emily Moore P.Eng., University of Toronto Professor Emily Moore is the Director of Troost Institute for Leadership Education in Engineering (ILead) at the University
56%and 66% indicates that the achievement goal measures are well-aligned with the motivationalprocesses and educational experiences of White students, making them more reliable predictorsfor this student demographic. Mindful of the concerns regarding the low sample size for Whitestudents, I assessed the reliability of the results via a posthoc power analysis using G*Power. Themodels reached a statistical power level of 0.99, indicating a 99% probability of detecting theeffect size (i.e., adjusted R-square value) if it truly exists. Said differently, there is a very highchance that the results for White students are not due to random chance and the analysis is highlyreliable in identifying this adjusted R-square value for this sample
were taught in the course.Two surveys were conducted as part of the regular course instruction for continuous improvement.These surveys used a 5-point Likert scale to assess students’ outlook, career readiness, role models,comprehension of AI, programming usage, and the importance of math and calculus. The questionsalso covered the participants’ current school level, prior experience with computer programming,their planned major in college, and career interests and preferences. From the onset of the programto the focus group (refer to the timeline of activities in Figure 1), two years have elapsed, makingthis a two-year impact study. To study the impact of the program on student self-efficacy andcollege readiness, we conducted focus group
their underlying concepts, take a perspective ofcare in engineering design, and learn to listen, empathize, and communicate.One interesting aspect of these findings is that in their reflections on Design Talks, teacherscentered what students do during the conversations. They did not focus on the designbreakthroughs that occurred as a result of the conversations or on the assessment evidence theconversations generated. Instead, teachers who have been enacting Design Talks primarily valuethem for the discourse and design practices they foster among students in the moment. Thisfinding is aligned with prior research on science talks in elementary classrooms, where the keygoal was to help students express ideas about phenomena in ways that made
ofloops, in which individuals consistently make choices whether or not to continue to pursue their areas ofinterest. Repetitive loops create momentum, or “patterns of acceleration” toward science occupations,which simultaneously result in a “thickening” of science identities [19]. Conflicts between gender and racial identities and engineering identities are commonly cited assources of low self-efficacy and/or poor outcomes expectations. Outcomes expectations appear to beparticularly important for persistence. In her groundbreaking work on women in male-dominated fields,Eccles [20] found that rather than lacking positive self-concept, women were simply making rationalchoices based on their assessment of the expected outcome. Specifically
’ perspectives on nature, particularly the incorporationof biology into engineering courses, which are often taught as electives. The insights,experiences, and beliefs they hold about this integration play a crucial role in shaping theircourse selection and career choices, ultimately influencing the future of innovation in both fields.Background & Literature ReviewStudents’ Perceptions of NatureStudents' perceptions of learning, encompassing their views on the process of acquiringknowledge, their self-assessed abilities, and the significance of education, can impact theirmotivation, engagement, and overall academic success [15-17]. A variety of factors, such aspersonal experiences, social dynamics, educational settings, and cultural norms, influence
Racial Climate on Latino College Students’ Sense of Belonging,” Sociology of Education, vol. 70, no. 4, p. 324, Oct. 1997, doi: https://doi.org/10.2307/2673270.[24] S. Hurtado, D. F. Carter, and A. Spuler, “Latino Student Transition to College: Assessing Difficulties and Factors in Successful College Adjustment,” Research in Higher Education, vol. 37, no. 2, pp. 135–157, Apr. 1996, doi: https://doi.org/10.1007/bf01730113.[25] C. E. Thompson and B. R. Fretz, “Predicting the Adjustment of Black Students at Predominantly White Institutions,” The Journal of Higher Education, vol. 62, no. 4, pp. 437–450, Jul. 1991, doi: https://doi.org/10.1080/00221546.1991.11774141.[26] “Interruption,” Merriam-Webster
the assessment of application of a variety of common AI-T to acommon set of DI methods. The results are wide spread, in that some AI-T significantlyenhanced in the DM and some were not helpful at all. The results should support others usingthe DI design process, or similar design processes, as they attempt to use AI to augment theirengineering design work. Specifically, this work recommends that designers using a DI (orsimilar) process consult Table 1 for initial recommendations and then consult the section in thepaper that describes details for implementation of AI-T for that DI method. Of course, ourinsights are limited in particular by the specific design context and problem we used to evaluatethe effectiveness of the AI-T. The use of the
experience?e. Do engineers enjoy the project liaison experience?f. What actions or approaches can liaisons take to improve the project experience?Through exploring these questions, the authors identified a collection of best practices thatindustry liaisons can employ to provide the students and themselves a successful and enrichingexperience.Literature ReviewMultiple studies have assessed the working relationship of faculty and industry liaisons todetermine how to provide a successful experience for everyone involved. These studies havelooked at this challenge from the perspective of the faculty, the students, the sponsoringorganization and the liaisons, and the results have been congruent. The review in this paper willfocus on the experience of