studies conductedover a full academic term, allowing students to integrate the tool into their regular study habits.Technically, we will explore alternative LLM prompting strategies and question generationarchitectures, such as self-review or Twin-Star approach [13], to improve the quality andrelevance of the generated questions, and reduce hallucination. We also plan to experiment withusing learning objectives, rather than just past/extracted questions, as a criterion for questiongeneration, to explore whether it could result in improved question alignment.References [1] J. Xu et al., “Active recall strategies associated with academic achievement in Young Adults: A systematic review,” Journal of Affective Disorders, vol. 354, pp. 191–198
, p = 0.021., felt hopeful about having AI availablein their classes X2 (10, N = 131) = 17.2778, p = 0.068. and also thought they would use AI toolsin their future field of work X2 (10, N = 131) = 17.8624, p = 0.057. Other interesting findingswere the reuse questions outlined above. Men were significantly more likely to report a tendencyto reuse AI technology than women on every question asked about reuse of AI (see Table 4).There was a significant difference in race as well. White engineering students reported theyintended to reuse AI for solving tasks in the future (see Table 4).Table 4 Plans to reuse AI by gender and by race χ² Tests Item Demographic χ
more recently in January 2025,so has yet to reach this level but is seeing around 10 downloads per month currently.The Ansys Academic Healthcare SimLab application, meanwhile, is not yet publicly released buthas gone through a thorough beta-testing process, with a total of ten academics at sevenuniversities so far providing in-depth feedback on demonstrated function and usability of theapp. The feedback to date has been positive, with comments such as “the information is well-balanced – not overwhelming” and “it’s an excellent tool for teaching hemodynamics”.6. Next stepsThe Jupyter Notebook education resources discussed in Section 3 seem useful and valuedenough by the community that the Ansys Academic Program plans to make more available
numeracythrough adaptive learning tools. The potential of AI in education should inspire optimism aboutthe future of learning [6,7,8,9,10,11]. AI has become an integral aspect of contemporary life,prompting governments to prioritize educational advancement on a global scale.Research objectivesIn December 2023, Azerbaijan's Ministry of Education announced plans to establish neweducational standards by mid-2025, including integrating STEAM (Science, Technology,Engineering, Arts, and Mathematics) into the national curriculum [12]. This initiative reflects astrategic response to advancements in information and communication technology (ICT),particularly emphasizing incorporating 3D robotics within technology courses for grade 6 andbeyond. By aligning
the 6-year graduate rate was 100% (compared to the university averages of 39%and 70%, respectively). For transfer students, the 2-year graduation rate was 36% and the 3-yearrate was 88% (compared to the university averages of 44% and 68%, respectively). Persistence in STEM. Among all scholars, the majority (80.9%) reported interest inpursuing a graduate degree: 34% (16) intend to pursue a Master's (M.S., M.A., professionaldegree), 40.5% (19) want to pursue a doctoral degree (Ph.D.). Only 19.1% of scholars (9)planned on completing just their bachelor's degree (B.A., B.S.), while 6.4% (3) did not respondto the item. As for actual post-graduate achievements: among those who have graduated as ascholar (35) by Summer 2024, 80% (28) have
2024 and 2025 who are enrolled in two courses at Meinig School ofBiomedical Engineering, Cornell University: Course 1: BME 4010 Biomedical EngineeringAnalysis of Metabolic and Structural Systems (Fall ’23 and ’24) and Course 2: BME 4020Electrical and Chemical Physiology (Spring ’24 and ’25). This report presents data from Fall ’23and Spring ’24, with ongoing collection planned for Fall ’24 and Spring ’25. Students scoredtheir physiological, safety, love and belonging, esteem, and self-actualization needs based ontheir experiences. The IRB at Cornell University approved this study for voluntary participation.(IRB Approval #0146842).The primary research questions we pursued during the study include: RQ1. RQ1. What is the level of satisfaction
planned interviews, 25 UESare first-year (supporting attrition), the remaining 30 will be split across the second throughfourth years. Participants are being offered a $25 gift card for each interview ($10 additional formember-checking), an extra $100 will be provided to participants who complete all five phases.Data Collection - Our project relies on a 60-120 minute semi-structured video interviewapproach that we repeat each wave. Following Year 1, we will follow a subset of 25 the 55first-year UES longitudinally for another four years (Years/Waves 2-5), into their first workposition, clarifying initial findings, and identifying how their conceptualizations grow andchange in regard to engineering culture. In each interview, we will ask UES about
supported by the National Science Foundation under Grant Nos. 2325523,2325525, and 2434698.References[1] S. E. Dreyfus and H. L. Dreyfus, "A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition," Berkeley, CA, No. ORC-80-2, 1980. [Online]. Available: https://apps.dtic.mil/sti/pdfs/ADA084551.pdf[2] C. M. Seifert, A. L. Patalano, K. J. Hammond, and T. M. Converse, "Experience and expertise: The role of memory in planning for opportunities," in Expertise in Context, P. J. Feltovich, K. M. Ford, and R. R. Hoffman Eds. Menlo Park, CA: AAAI Press/ MIT Press, 1997, pp. 101-123.[3] E. E. Miskioğlu and K. M. Martin, "Is it Rocket Science or Brain Science
/plans after completing your bachelor’s degree?; (7) What motivates youin personal and academic spheres?; (8) What habits or skills helped you to get to where you arenow? Is there anything you would like to change, add, or learn to do better to improve yoursuccess?; (9) Tell us about a recent project or class that you found particularly engaging and why?;and (10) How would this scholarship help you reach your goals? Students will be scored using a two-step approach. First, scholars will be quantitativelyscreened using three-point scale with a point each given to financial need (weighted by need),academic potential (weighted by GPA) and impact of scholarship (discretion of PIs). The secondstep will be a qualitative screening based on the
about the data and make explicit commonly held assumptions. In addition to his work with SoTL faculty, Ethan is a research assistant with the College of Education and Social Services (CESS) and currently supporting data collection of cancer experiences within Vermont’s LGBTQ community. Expected to graduate from UVM in May 2025, Ethan is planning to apply for a summer fellowship so he can analyze the CESS data. Post-graduation, Ethan hopes to continue to be involved in research that drives social change. ©American Society for Engineering Education, 2025 A Case Study: Students' Perception of the Use of GenAI in Learning and the Civil Engineering Profession. I
experience and entry into research. I realized that even if I decide to pivot my original career plan, I can still accomplish amazing things. The opportunity to connect with others who showed me that doing research can be interesting and fun and also helped me understand how research should be done. Seeing all the Comp[uter] Science posters. It was so fine. Getting a grasp at what being on a university campus felt like. Seeing people I knew that transferred succeed at Cal Poly. Being able to connect with others that are interested in the same field that I am. And also see those who are ahead and what can I do in the future. Getting to see the workshop areas in which students are able to create just about anything.Another
longer-term program impacts with an alumnistudy, surveying program alumni 1-3 years after their participation in the program. This surveywill assess the degree to which the internship experience influenced interns’ interests, plans, andpersistence in pursuing engineering or STEM in higher education and/or their career, as well asany enduring impacts on their awareness and understanding of issues related to accessibility.AcknowledgementsThis paper is based upon work supported by the National Science Foundation, award #2049109.References[1] National Science Board, National Science Foundation, “Science and Engineering Indicators2022: The State of U.S. Science and Engineering,” Alexandria, VA. NSB-2022-1, 2022.[2] M. Hynes, C. Joslyn, A. Hira, J
$22.18 4x Aquarium Thermometers $20 per pack of 4 $20 Total - $295.92 Average Price-per-Model - $43.76To put this price in reference, one could imagine a large university class of 150 undergraduatechemical engineers. If a university planned on purchasing 10 3D printers, and each studentwould want to print their own model, the university would be able to complete all prints within30-40 hours, depending on the downtime between print jobs and the size of models printed.Table 4 below outlines the hypothetical cost breakdown of this scenario. While it would cost theuniversity over CAD$9,050 in
; Flowers III, 2017). This suggests that merely establishing a support system does notensure positive outcomes; the system's design and interventions require careful planning(Pearson et al., 2022). Further, while the learners and the interventions are key components of this system, weposit that another striking gap exists in the research literature. To date, no empirical researchexists relative to the intentional study and mitigation of barriers that stakeholders face insupporting these students. Thus, our evaluation question was, “What are the facilitators andbarriers that stakeholders face when implementing program interventions within the university
responses arereported below. N=19 (except for statements 1 and 3, where N=18).From this week’s module, I became more confident in…Statement Avg ± Std1. Providing equal opportunities of ML-based medical devices to all groups of people. 5.28 ± 0.672. Taking action to prevent reproduction/maintenance of inequalities in machine learning. 4.74 ± 0.933. Designing, implementing, and assessing ML plans with a DEI perspective. 5.11 ± 0.904. Conveying values in DEI issues in ML. 5.16 ± 0.695. Educating ML engineers on DEI issues. 5.05
because of adesire to work with and mentor undergraduates. Overall, they were satisfied with theirexperience as mentors and would recommend it to other graduate students. However, they feltthat, from their perspective, the program structure was not always clear. They indicated that, atleast for some teams, there was not a clear plan for the semester early on or they did not havemeetings specifically for VIP (but more general lab meetings). In other cases, they had difficultysetting regular meeting times with their mentees outside of required weekly meetings. Similarly,there was uncertainty about how much time they could ask of undergraduates outside of therequired meeting (given that it is a one-credit hour class). One graduate student
resolution, while developing conflict resolution strategies thatapply to all group members.The overall survey findings were further supported in the examples that working groupsgenerated during the brainstorming part of the session (Activity 4). When asked about strategiesthat RED teams currently utilize to foster psychological safety and enable conflict resolution,ideas generated by the groups were coded by the REDPAR team and grouped into three maincategories: creating an appropriate meeting structure, role of project leader, and building trustand respect by all team members.Teams reflected on the importance of planning and implementing a meeting structure that isgoverned by clear and agreed-upon meeting norms, where the meeting agenda is
Science Foundation under Grant Nos. 2124953 and2124907. Any opinions, findings, and conclusions or recommendations expressed in this material are those of theauthors and do not necessarily reflect the views of the National Science Foundation or Purdue University.References[1] M. Davis and A. Feinerman, "Assessing graduate student progress in engineering ethics," Science and Engineering Ethics, vol. 18, no. 2, pp. 1-17, 2012.[2] T. Phillips, F. Nestor, G. Beach, and E. Heitman, "America COMPETES at 5 years: An analysis of research- intensive universities’ RCR training plans," Science and Engineering Ethics, vol. 24, pp. 227-249, 2018.[3] N. D. Fila, J. L. Hess, and A. O. Brightman, "What do Biomedical Engineering Faculty Talk About When
semesterincluded four engineering students, described in additional detail in the participants section, andtwo instructors. During the planning phases of this pilot, the research team conducted a literature reviewand found a significant amount of literature on learning in engineering coops and internships,often focused on professional skill development (e.g. communication, writing, teamwork) [8].Due to the focus of integrating engineering work and curriculum, the team also searched forliterature on technical learning in engineering coops and internships and was surprised to findsignificantly fewer publications in this area. In a search of ASEE Proceedings from 2000-2023,the authors found a single paper focused on technical learning, a study by
introduce students to foundational engineeringmindsets. It emphasizes belonging through culture, the course, the engineering discipline, and theuniversity itself. This paper discusses the pedagogical approach, activities, assessment methods,and future evaluation plans, along with reflections from the instructor team andrecommendations for similar curriculum initiatives. Our institution is an open-access, research-intensive HSI on the US-Mexico border withapproximately 84% Hispanic students. Anyone with a high school diploma or GED who appliesto the university at the undergraduate level is accepted, creating opportunities for all while alsoposing unique challenges in the classroom. For instance, many of our students enter engineeringwith
-hour-and-50-minute session emphasizing teamwork and hands- Sessions on application of course topics.Semester-Long Project: Students collaborated in randomly assigned teams of 4–6 memberswithin their lab sections throughout the semester. The semester-long project required teams tointegrate concepts from lectures and lab activities to achieve several key objectives: identifyingsystem requirements, developing UML models for a given case study, creating security andorganizational planning documents, and implementing a database that met the identifiedrequirements. This collaborative approach emphasized the application of theoretical knowledgeto practical challenges, fostering both technical and teamwork skills. Given the team
duringthe interview (similar to the results attained in Section 3) that increased the correct responses to60%. Next section will contain a comprehensive analysis of the responses to both math questionsand the iff analysis of the results along with the future work plans.3. Analysis of Qualitative and Quantitative Responses to the Math QuestionsThe collected qualitative and quantitative analysis of the data is conducted by the PI. Thequantitative analysis is based on the statistical categories of the responses given by using thewritten information provided by the research participants. The qualitative analysis relied on thespecific key words used by the research participants as well as the match between their pre-interview responses and post
full-time undergraduate students who spend dedicated time on campus and areexpected to devote their entire time to their studies, adult learners often have competingcommitments and significant financial and family obligations.We have observed that our adult learners struggle not because of the course content, which wehave designed to be mastered with no prior computing background, but because of timecommitments that are not properly anticipated. For this reason, in our essays, we ask students toelaborate on how the iCAN program will fit into their lives. For example, one of the short answerquestions applicants must address is, “Discuss your plans for managing the significant timecommitment required to be in the iCAN program, given your
confidence developed during the first year and theongoing support offered by the program. Tracking future retention and graduation rates of thestudents in this study is planned, which will provide additional insights into the long-termoutcomes of SSP participants. Further research is needed to isolate and evaluate the specificeffects of SI on performance in first math and engineering courses, as well as its contribution tooverall academic success and persistence.Acknowledgement of Support and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.2221638.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the
societies.Reflecting on what has been done well and what could have been improved in those previousinvolvements contributed to the creation of this refined executive board structure. Byestablishing these roles and norms, a strong foundation has been created for the club, setting thestage for effective governance and active member engagement as it grows and develops. Withthese six positions, there are enough individual tasks to occupy each role and create a sense ofworth, while also not entailing an overwhelming amount of work to keep up with as a student.Community Building and MentorshipTable 3 gives a summary of events from SWME’s first year of operation. Events are planned byexecutive board members and aim to meet the needs of the membership body. For
technical courses, Gordon was asked to join the teaching team for arelatively new mandatory design course, outside of his disciplinary expertise, that had spurnedboth students and faculty due to its emphasis on diversity, equity, and inclusion (DEI) topics.During an instructor meeting planning for the course, it came to his attention that the heavilyproject-based course did not have a course fee. Having previously taught courses with substantialstudent fees and resources, he found himself confused as to how he would be able to achieve thecourse learning objectives without the funding to buy prototyping supplies for the students. Afterthat meeting, he placed a quick call to Scott (pseudonym), an influential white, male, facultymember who held the
The participants comprised a Policy Action Network Group (ANG). The following online Policy ANG meetings were planned for Fall 2024 and Spring 2025. Backbone Support Our research team is in partnership with Najera Consulting Organization Group. One research team member is the Chair of the Policy ANG. One participant is the Co-chair of the Policy ANG. The Chair and Co-chair will collaborate to facilitate the following online meetings in Fall 2024 and Spring 2025. Mutually Reinforcing We anticipate mutually reinforcing activities in
peer mentors are assigned on an individual basis,and they meet with their assigned scholar to provide guidance and support. In addition, students’academic advancement is supported by weekly tutoring opportunities (such as facilitated studygroups) and academic and career workshops. Academic and career workshops are conducted toincrease students’ awareness about future educational and career opportunities and to preparethem for the STEM workforce. To ensure that scholars are keeping on track throughout theirundergraduate studies, they are also assigned STEM counselors that help develop and track theirindividual education plans. In addition to the activities throughout the academic year, annualsummer bridge programs are offered to support bonding
-world problem related to the chosen focustopic for the given semester. Using the RFP as a guide, students develop a research proposal thatincludes a clear rationale, defined goals, and an assessment protocol designed to yield a finalrecommendation or solution relevant to the problem. Following proposal development, students execute their experiments during two on-campus laboratory visits. During the first visit, they implement their proposed plan, collect initialdata, and identify areas for further optimization. Between visits, students participate in a virtualclient consultation with graduate student mentors, where they receive feedback and proposemodifications to their experimental approach. In the second on-campus visit, students
, their time may be better spent on researchand core academic instruction rather than teaching highly applied courses. Some institutionshave found success in hiring industry retirees or industry professionals as adjunct instructors orfull-time faculty who bring valuable real-world experience and examples into the classroom.Both industry professionals and engineering professors may require additional training in TWC,data visualization strategies, and other tools commonly used by technical writers to effectivelyconvey complex information. Planning for these strengths and gaps can help programs optimizefor the best TWC instruction, curricular ‘timing’, and student learning outcomes.References[1] National Society of Professional Engineers. (2013