training: Comparing traditional and learning by teaching approaches,” Comput. Ind., vol. 144, p. 103785, 2023.[12] J. T. Bell and H. S. Fogler, “Vicher: a virtual reality based educational module for chemical reaction engineering,” Comput. Appl. Eng. Educ., vol. 4, no. 4, pp. 285–296, 1996.[13] M. Koretsky, S. Kimura, C. Barnes, D. Amatore, and D. Meyers-Graham, “Experiential learning of design of experiments using a virtual CVD reactor,” in 2006 Annual Conference & Exposition, 2006, pp. 11–621.[14] C. Norton et al., “Development and deployment of an immersive learning environment for enhancing process systems engineering concepts,” Educ. Chem. Eng., vol. 3, no. 2, pp. e75–e83, 2008.[15] C. Pirola, C. Peretti, and F. Galli
focused on developing innovative solutions from root cause understanding, improved pace of learning, and discipline in experimentation and configuration management. She was inducted into the National Academy of Engineering in 2016 for her leadership in the development of technologies to enable areal density and reliability increases in hard disk drives and was elected a National Academy of Inventors Fellow in 2018. Dr. Hipwell is currently the Oscar S. Wyatt, Jr. ’45 Chair II at Texas A&M University, where she has developed new classes on innovation and technology development as part of her leadership of the INVENT (INnoVation tools and Entrepreneurial New Technology) Lab. She is Co-PI on a National Science
of the author and do not purport to stateor reflect the position of the United States Government or any agency thereof, including the UnitedStates Military Academy, the Department of the Army, or the Department of Defense.References 1. L. T. Eby, T. D. Allen, S. C. Evans, T. Ng, and D. Dubois, “Does Mentoring Matter? A Multidisciplinary Meta-Analysis Comparing Mentored and Non-Mentored Individuals”. Journal of Vocational Behavior, 72(2), 254-267, 2008. https://doi.org/10.1016/j.jvb.2007.04.005 2. W. B. Johnson, L. L. Behling, P. Miller, and M. Vandermaas-Peeler, “Undergraduate Research Mentoring: Obstacles and Opportunities”, Mentoring & Tutoring: Partnership in Learning, 23(5), 441
tightly connected groups. The differences are shown using a “close-up” sideto side contrast in Fig. 3. Referring back to Fig. 2, Group 2’s map revealed a more linearstructure, characterized by extended branches that reflected its higher average degree andnetwork diameter. In comparison, the maps of Group 1 and 3 exhibited more net-like structures,consistent with their higher graph density andmodularity. Similar comparison in these majormind map patterns have been discussed by othersthat referred to the pattern as “spoke”, “chain”and “net” structure [16]. Though, the linestructure referenced in the Group 2 map indicateda more linear arrangement compared to the other “Line” “Net”groups, rather than being
criticalproblem(s) they posed and the scientific and the societal significance of their research questions.Discussions included how to effectively communicate their ideas to a broader audience as well asbecome more comfortable with incorporating perspectives from non-disciplinary experts. Alongthe way, this mentoring also included career development advice. This ability to interact withdiverse scientific fields is a core aspect of team science or convergence research. Key is thatscientists from different disciplines learn and work together to dissect a problem and challengeeach other’s thinking to re-conceptualize a research program. Such diverse standpoints andapproaches open a space for new ideas to address globally significant scientific problems. One
onset of Year 3, we began work on thefollowing research question: How do different populations and pathways (e.g., FTIC, changingmajors, transfer) navigate the curriculum? To address this question, we planned to useassociation analysis to discover frequent groupings of courses and association rules among themto build course-taking trajectories. The concept of association analysis [9] is classically appliedto analyzing transaction data to observe what items are bought together and develop associationrules of the form, "the people who bought item(s), A, also tended to buy item(s), B." Thosebundles of items we are trying to relate, A and B, are called itemsets, and the association rulewould be written as 𝐴 → 𝐵 (A is the antecedent and B is the
perspectives on diversity efforts (Woods et al., 2024).AcknowledgementThe authors would like to thank the RED teams for their participation in the RED community ofpractice. This work is based upon work supported by the National Science Foundation underGrant No.’s 2317318 and 2317319. Any opinions, findings, and conclusions or recommendationsexpressed in the material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.ReferencesBehfar, K. J., Peterson, R. S., Mannix, E. A., and Trochim, W. M. K. (2008). The critical role ofconflict resolution in teams: A close look at the links between conflict type, conflict managementstrategies, and team outcomes. Journal of Applied Psychology, Vol.93, No. 1, pp. 170
Vempala, Hayley Nielsen, Judy Kim, Dianna Torres,Berenice Cabrera for their contributions to data collection and analysis.References[1] C. C. Ngo and S. J. Oh, “Mechanical Engineering Undergraduate Education in the United States,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual Online: ASEE Conferences, Jun. 2020, p. 34964. doi: 10.18260/1-2--34964.[2] C. W. E. Whiteman, “Mechanical Engineering Curricula: A Baseline Study for the Future Effects of ABET EC2000,” International Journal of Mechanical Engineering Education, vol. 31, no. 4, pp. 327–338, Oct. 2003, doi: 10.7227/IJMEE.31.4.4.[3] A. R. Bielefeldt, M. Polmear, D. W. Knight, N. Canney, and C. Swan, “Educating Engineers to Work
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Gap betweenTheory and Practice: Connecting Courses with Field Experiences,” in Teacher EducationQuarterly, vol. 33, no. 1, pp. 19–35, 2006.[4] S. Waks, E. Trotskovsky, N. Sabag, and O. Hazzam, “Engineering Thinking: The Expert'sPerspective,” in International Journal of Engineering Education, 838-851, February 2011.[5] E. Putilova, and A. Shutaleva, “Engineering thinking and its role in modern industry” inproceedings of the 16th International Conference on Industrial Manufacturing and Metallurgy(ICIMM 2021) 2022. [Online]. Available: http://dx.doi.org/10.1063/5.0074665[6] L. Marin and S. Steinert, “Twisted thinking: Technology, Values and Critical Thinking” inPrometheus, vol. 38, pp. 124–140, 2022. [Online]. Available:https://www.jstor.org
for education in the College of Engineering at Penn State. He previously served as a professor and the Mechanical Engineering Department Chair at The Citadel. He previously taught mechanical engineering at the United States Military Academy at West Point. He received his B.S. in Mechanical Engineering from the United Military Academy and his M.S. and PhD in Mechanical Engineering from the University of Texas at Austin. His research and teaching interests are in mechatronics, regenerative power, and multidisciplinary engineering.Glen Coates, Pennsylvania State University Glen R Coates received his B. S. degree in Environmental Engineering from Penn State University. He then went on to receive an M. S. degree in
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essential insights on how to supportdiverse student groups in the field, with the goal of unlocking their talents, broadening theirperspectives, fostering more innovative ideas in engineering, and contributing to thesustainable development.References[1] S. Pennisi, "Pandemic, shortages, and electronic engineering," IEEE Circuits and SystemsMagazine, vol. 22, no. 3, pp. 41–49, 2022. doi: 10.1109/MCAS.2022.3189891.[2] J. Trevelyan, "Transitioning to engineering practice," European Journal of EngineeringEducation, vol. 44, pp. 821–837, 2019. doi: 10.1080/03043797.2019.1681631.[3] R. Trafford, D. Chakraborty, and R. P. Ramachandran, "Early impacts on retention andcurriculum after introducing a first-year experience course," in 2024 IEEE
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development.References[1] “Criteria for Accrediting Engineering Programs, 2024 - 2025 - ABET.” Accessed: Nov.27, 2024. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2024-2025/#GC3[2] E. D. Lindsay, R. G. Hadgraft, F. Boyle, and R. Ulseth, “Disrupting EngineeringEducation,” in International Handbook of Engineering Education Research, 1st ed., New York:Routledge, 2023, pp. 115–133. doi: 10.4324/9781003287483-7.[3] B. J. Novoselich and D. B. Knight, “Measuring a moving target: Techniques forengineering leadership evaluation and assessment,” New Directions for Student Leadership, vol.2022, no. 173, pp. 63–71, 2022, doi: 10.1002/yd.20480.[4] S. Pitts, S. McGonagle, and S. W
determine which coding methods were most suitable. The Adherence toBest Research Practices they followed was very similar to practices we used in our analysis. Thesimilarities between our methodology and Kulkov et al.’s methodology show that podcast datacan be used reliably and effectively in qualitative research, especially when approached with aclear methodological framework and attention to ethical and methodological rigor.ImplicationsWe believe that utilizing podcast data for qualitative research has significant advantages. First, thedata is context-embedded, meaning that all interviewees on the podcast share similar experiencesthat led them to be guests, and the interviewer is familiar with those experiences.Context-embedded data enhances the
understanding of howinstructors are using and utilizing active learning classrooms, space designers and administratorscan continue to support the transition from more traditional lecture-based instruction to moreengaging and interactive learning environments.References [1] K. Börner and D. E. Polley, Visual Insights: A Practical Guide to Making Sense of Data. 2014. [2] S. Dawson et al, "“Seeing” networks: Visualizing and evaluating student learning networks," Australian Learning and Teaching Council, Canberra, 2011. Available: http://research.uow.edu.au/content/groups/public/@web/@learnnet/documents/doc/uow1 15678.pdf [3] L. Lockyer, E. Heathcote and S. Dawson, "Informing Pedagogical Action: Aligning Learning
). We will enlarge and diversifythe sample of respondents and finally, examine how the two dimensions can impact otheroutcomes of the graduate experience, e.g., career aspirations.References[1] W. B. Johnson and K. A. Griffin, On Being a Mentor: A Guide for Higher EducationFaculty, 3rd edition. New Yok, NY: Routledge, 2024.[2] L. L. Paglis, S. G. Green, and T. N. Bauer, “Does adviser mentoring add value? Alongitudinal study of mentoring and doctoral student outcomes,” Research in Higher Education,vol. 47, no. 4, pp. 451-576, 2006.[3] A. Lee, “How are doctoral students supervised? Concepts of doctoral research supervision,”Studies in Higher Education, vol. 33, no. 3, pp. 267-281, 2008.[4] K. Lange and C. Baillie, “Exploring graduate student
. Garber; J. Tritschler; R.Taylor; and S. Thomas. Our students are the beneficiaries.References[1] R. Scott, “First-year seminars: a recipe for retention,” HigherEdJobs, October 28, 2024.[2] 2023 National Survey on the First-Year Experience, 43rd Annual Conference on First-Year Experience and Students in Transition, February 18-21, 2024, Seattle, WA.[3] A. Vaughan, S. Pergantis, and S. Moore, Assessing the difference between 1-, 2-, and 3- credit first-year Seminars on college student achievement, J. First-Year Experience & Students in Transition, Vol. 31, No. 1, pp. 9-28, Spring 2019.[4] C. Seemiller and M. Grace, Generation Z Goes to College, Jossey-Bass, 2016.[5] C. Seemiller and M. Grace, Generation Z Leads: A Guide for Developing
[7] M. F. Schar, S. L. Billington, and S. D. Sheppard, “Predicting Entrepreneurial Intent amongEntry-Level Engineering Students,” ASEE Annual Conference & Exposition, ConferenceProceedings, Indianapolis, Indiana, 2014. Available:http://epicenter.stanford.edu/documents/Predicting%20Entrepreneurial%20Intent%20among%20Entry-Level%20Engineering%20Students%202.pdf[8] L. Cole, S. Short, C. Cowart, and S. Miller, The High Demand for Durable Skills, AmericaSucceeds, Denver, CO, 2021. Available: https://americasucceeds.org/wp-content/uploads/2021/04/AmericaSucceeds-DurableSkills-NationalFactSheet-2021.pdf[9] M. Aly, D. B. Audretsch, and H. Grimm, “Emotional skills for entrepreneurial success: thepromise of entrepreneurship education and policy
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explanations. This feature would likely be an addition to the Modules chatbot.Appendix:Data Analysis on Google Collab:https://colab.research.google.com/drive/1THSLRLCfCnxlX0nquINq72qrwuKJMwCC?usp=sharingReferences:1. Yilmaz R., and Yilmaz, F., “The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation”, Computers and Education: Artificial Intelligence, Volume 4, 2023. https://doi.org/10.1016/j.caeai.2023.100147.2. Moore, S., Nguyen, H. A., Bier, N., Domadia, T., and Stamper, J., “Assessing the quality of student-generated short answer questions using GPT-3”, EC-TEL 2022: Educating for a new future: Making sense of Technology-Enhanced Learning
; Manuel Toledo Quispe, P. (2022). Strategy Diagram of Active Research in Practice and Research in Higher Education Students. NeuroQuantology 20(5), 554–560. https://doi.org/10.14704/nq.2022.20.5.NQ22208Farrell, C. C., Penuel, W. R., Allen, A., Anderson, E. R., Bohannon, A. X., Coburn, C. E., & Brown, S. L. (2022). Learning at the boundaries of Research and Practice: A Framework for Understanding Research–Practice Partnerships. Educational Researcher, 51(3), 197– 208. https://doi.org/10.3102/0013189x211069073Freeman, R. E. (1984). Strategic management: A stakeholder approach. Cambridge University Press.Hu, M., Cleland, S., & Burt, S. (2019). Build up a constructivist learning environment for
models. Expand a new perspective to the broader system and set the business up forsuccess in an interconnected world. There is no rigid start and end point. Circular design thinkingis an iterative process of continuous learning, prototyping, and feedback loops. The engineeringteam continuously returns to the user(s) as their perspectives fit within the system and iterates onthis business model. They will have to adapt as needed and continue to reference this as ititerates on the best possible solution.A discretionary business model. Osterwalder & Pigneur [20] developed this Circular BusinessModel Canvas for Circular Designs:Key Partnerships. How might the engineering team strengthen its partnerships with organizationsacross the value chain
of Oregon and across institutions. Although itmay be challenging for other programs to integrate the full suite of trainings into theircurriculum, individual modules may be able to be incorporated. With a little customization, theseactivities are likely to be useful in disciplines beyond bioengineering, especially for programsthat already have a focus on communication, innovation, or entrepreneurial mindset.References[1] L. Bosman and S. Fernhaber, “Applying Authentic Learning through Cultivation of the Entrepreneurial Mindset in the Engineering Classroom,” Educ. Sci., vol. 9, no. 1, Art. no. 1, Mar. 2019, doi: 10.3390/educsci9010007.[2] L. R. Volpatti et al., “Quantitative Assessment of Students’ Revision Processes,” presented at
described in Table 1.Groups 1-4 met once a month as intended; Group 5 was not able to find a meeting time thatworked and did not meet. One group chose to visit two different industry facilities—awastewater treatment plant and a manufacturing plant—rather than having a traditional sit-downdiscussion during two of their monthly meetings. At the conclusion of the program, 50% ofmentors and 29% of mentees completed the post-program survey.Table 1. Meeting logistics of the established mentoring circles for the Pilot BENG MentorProgram during Fall 2024 Group Virtual Mentor(s) In-Person Mentor(s) Virtual Student(s) In-Person Student(s) 1 1 1 1 3 2 0 2
of these tools with ensuring students developfoundational skills through active engagement. Thoughtful course design and active mentorshipare essential to managing AI’s impact. This helps to ensure that it is a tool that enhances ratherthan diminishes the learning experience. Moving forward, we will continue exploring newapproaches on applying AI tools in our courses.References[1] S. Shailendra, R. Kadel and A. Sharma, "Framework for Adoption of Generative ArtificialIntelligence (GenAI) in Education," IEEE Transactions on Education, 67(5), pp. 777-785,(2024).[2] T. Adiguzel, M. H. Kaya, F. K. Cansu, “Revolutionizing education with AI: Exploring thetransformative potential of ChatGPT,” Contemporary Educational Technology, 15(3), ep429,(2023
, people whovisit the SILO website are only ever presented with the latest version of each artifact and thereflexive journal is kept offline for the purposes of writing up the findings as they emerge.PMR utilizes ‘referential chronology’ which is an extension of referential adequacy,formulated by Lincoln and Guba in [11]. PMR makes two important advances to referentialadequacy. Firstly, the role of the researcher is quite different in PMR as they are the designeror co-designer of the learning artifact(s). The researcher’s reflexive journal is the primarymechanism to document data analysis because a rationale is provided for each iteration of anartifact. The rationale for these decisions is archived in the chief investigator’s reflexivejournal
. Reston, VA:ASCE. ASCE (American Society of Civil Engineers). 2008. Civil engineering Body of Knowledge for the 21st century: Preparing the civil engineer for the future, 2nd Ed. Reston, VA: ASCE. ASCE (American Society of Civil Engineers). 2019. Civil engineering Body of Knowledge for the 21st century: Preparing the civil engineer for the future, 3rd Ed. Reston, VA: ASCE. Bloom, B. S., M. D. Englehart, E. J. Furst, W. H. Hill, and D. Krathwohl. 1956. Taxonomy of educational objectives, the classification of educational goals. Handbook I: Cognitive domain. New York: Longman. NASEM (National Academies of Sciences, Engineering, and Medicine). 2019. Environmental engineering for the 21st century