. Ehrhart, B. Schneider, and W. H. Macey, Organizational Climate and Culture.Routledge, 2013. doi: https://doi.org/10.4324/9781315857664.[3] M. G. Ehrhart and B. Schneider, “Organizational Climate and Culture,” Oxford ResearchEncyclopedia of Psychology, Dec. 2016, doi:https://doi.org/10.1093/acrefore/9780190236557.013.3.[4] B. Schneider and A. E. Reichers, “On the Etiology Of Climates,” Personnel Psychology, vol.36, no. 1, pp. 19–39, Mar. 1983, doi: https://doi.org/10.1111/j.1744-6570.1983.tb00500.x.[5] B. Schneider, V. González-Romá, C. Ostroff, and M. A. West, “Organizational climate andculture: Reflections on the history of the constructs in the Journal of AppliedPsychology.,” Journal of Applied Psychology, vol. 102, no. 3, pp. 468–482, 2017
Innovation Fellow, Andre Schleife, for guidance and support.References[1] L. D. Feisel and A. J. Rosa, “The Role of the Laboratory in Undergraduate Engineering Education,” Journal of Engineering Education, vol. 94, no. 1, pp. 121–130, 2005, doi: j.2168-9830.2005.tb00833.x.[2] P. H. Borgstrom et al., “Science and engineering active learning (SEAL) system: A novel approach to controls laboratories,” presented at the 119th ASEE Annual Conference and Exposition, San Antonio, Texas, Jun. 2012. doi: 10.18260/1-2--21900.[3] W. E. Dixon, D. M. Dawson, B. T. Costic, and M. S. de Queiroz, “A MATLAB-based control systems laboratory experience for undergraduate students: toward standardization and shared resources,” IEEE Transactions on
analytics, accounting and reliability functions, and engineering systems. 3) Teamwork Competencies. Students will practice the value of teamwork, which is common in engineering environments. Students will understand that teamwork promotes: a. Development of an ethical mindset and ability to seek assistance to get the job done. b. Collaborative skills, experience, and knowledge to solve challenging problems. c. Credibility of solutions derived from multiple perspectives. d. Learning from and professional development for team members. e. Better communication, trust, support, and a positive working environment. 4) Communication: Students will exercise their communication skills in oral and written
/november-2019/inclusion-diversity-now- factor-accreditation-standards[13] E. T. Layton, “The Revolt of the Engineers. Social Responsibility and the American Engineering Profession,” Johns Hopkins University Press, 701 W, 1986.[14] M. Davis, “What’s philosophically interesting about engineering ethics?,” Sci. Eng. Ethics, vol. 9, pp. 353–361, 2003.[15] R. S. Rosenberg, “Beyond the code of ethics: the responsibility of professional societies,” in Proceedings of the ethics and social impact component on Shaping policy in the information age, Washington D.C. USA: ACM, Jun. 1998, pp. 18–25. doi: 10.1145/276755.276768.[16] J. L. Hess, A. Whitehead, B. K. Jesiek, A. Katz, and D. Riley, “WIP: Intersections Between Diversity, Equity
– 306.[6] K. White, M. McCoy, K. Love, E. J. Kwak, E. Bruce, and J. Grable, “The role of signaling when promoting diversity and inclusion at the firm level: A financial advisory professional case study,” Adv. Bus. Res., vol. 9, no. 1, pp. 1–16, 2019.[7] D. G. Allen, R. V. Mahto, and R. F. Otondo, “Web-based recruitment: Effects of information, organizational brand, and attitudes toward a Web site on applicant attraction.,” J. Appl. Psychol., vol. 92, no. 6, p. 1696, 2007.[8] S. L. Rynes, R. D. Bretz Jr, and B. Gerhart, “The importance of recruitment in job choice: A different way of looking,” Pers. Psychol., vol. 44, no. 3, pp. 487–521, 1991.[9] D. A. Delaine et al., “A systematic literature review of reciprocity in
to bemore effective?” was used to collect students’ feedback towards potential future enhancement ofthe implementation of SGAs. Detailed student responses are listed in Appendix B. Some studentsreported that SGAs are more beneficial than other types of homework, that the instructions for theSGAs were clear, and a few students liked the self-grading aspect and found it helpful for learning.However, some students found that the problems were too difficult, suggesting that they should bemore manageable and preferred them as group assignments. Moreover, they expressed a desire forhints, including partial solutions or final answers to be given, or the opportunity to go overproblems in more detail in class.Overall, the feedback provides insights
Paper ID #42789Introducing Concept Maps in an Undergraduate Heat Transfer CourseDr. Jessica Lofton, University of Evansville Dr. Lofton is an Associate Professor of Mechanical Engineering at the University of Evansville and the Program Director for Mechanical Engineering. ©American Society for Engineering Education, 2024 WIP: Introducing Concept Maps in an Undergraduate Heat Transfer CourseAbstractThis Work In Progress (WIP) outlines an approach for creating and introducing a concept map inan undergraduate, introductory heat transfer course for mechanical engineering
transformation” comprising four major phases: (a) Discontent (Stages1-2) – experiencing the disorienting dilemma; (b) Testing and Exploring (Stages 3-5) – criticallyreflecting on our assumptions and values; (c) Affirming and Connecting (Stages 6-9) –experimenting with new viewpoints; and (d) New Perspectives (Stage 10) – integrating andacting upon the new perspective gained through this process.III. Conceptual FrameworksIn the context of this paper, “Personality Attributes” are conceptualized to include acomprehensive range of characteristics that affects a students’ cognitive, social, and behaviouraldomains. To that extent, we utilized multiple concepts, such as Big Five personality traits, andsocial intelligence. This paper aims to utilize these
, and 6 as of Asian descent. When asked at the start of the camp whatundergraduate major they were interested in pursuing, 12 reported computer science, 6 computerengineering, and 4 information technology. The other 6 listed other engineering or computingmajors, including cybersecurity.This study utilized a mixed-method research design that involved the triangulation of qualitativeand quantitative data. Two instruments were constructed for the purpose of this study and can befound in Appendix B. The Summer Computing Camp Survey (SCCS) was administered as a pre-survey on Monday morning and a post-survey on Friday afternoon following the Capstonepresentation. The Perceptions of Computing Fields (Perceptions) was administered prior to thecamp as a
can be found in Fig. 2. (a) (b) (c) (d) Fig. 2 SODOTO Outcomes (a) Kevin Crespo performed analysis on Gas Chromatography; (b) Leah Hoffmann analyzed Congo red sample in High-Performance Liquid Chromatography; (c) Evan Myers presented his progress on breaking PET plastics during a bi-weekly group meeting; (d) Noah Valverde presented his poster in Undergraduate Research Showcase.Student OutcomesThrough ten weeks of training, all students gained knowledge in real-world solid wasteproblems, experimental design and skills, and data interpretation. A pre- and -focus group surveyshows that the designed proactive activities helped students understand concepts and enhancedself
eReferences[1] Uhlig, R., Jawad, S., Sinha, B., Dey, P., and Amin, M., "Student Use of Articifical Intelligence to Write Technical Engineering Papers - Cheating or a Tool to Augment Learning", Proceedings of ASEE 2023, Baltimore, MD.[2] "What's The Future of Generative AI? An Early View in 15 Charts," McKinsey & Company, 25 August 2023. [Online]. Available: https://www.mckinsey.com/featured-insights/mckinsey- explainers/whats-the-future-of-generative-ai-an-early-view-in-15-charts. [Accessed 11 December 2023].[3] A. Watters, "A Brief History of Calculators in the Classroom," The History of Future Education, 12 March 2015.[4] Uhlig, R., Jawad, S., Sinha, B., Dey, P., and Amin, M., op. cit.[5] "What
, which involves various parameters that affect their further design.Consequently, we designed the MATLAB activities and hypothesized that by initiating with amathematical model rather than immediately engaging with physical materials, students coulddevelop a comprehension of the filtration parameters. This theoretical foundation wouldsubsequently inform their prototype building and iterating phase, potentially leading to moreinformed and effective design choices.ParticipantsWe presented our findings from student focus group data from two schools: School A, threestudents, and School B, six students, in two different states. For anonymity reasons, we have notincluded state information. Table 1 displays the characteristics of the schools. This
) Advisors/Instructors Support, 2) Project Selection, 3) Structure of Class, 4)Feedback and Communication, 5) Lectures and Presentations, 6) Team Dynamics, 7) ProjectScope and Feasibility, 8) Peer Evaluation and Grading, 9) Industry Relevance, and 10)Effectiveness of Feedback. The faculty also requested examining research topics of A) FacultyAdvisor Technical Guidance, B) Industry Sponsor or Mentor Technical Guidance, C) IndustrySponsor Relationship, and D) Mentor Relationship. Figure 5 has a table that shows the numberof comments by academic year, and a bar graph that shows the probability of each of these topicsappearing in a given comment sorted by the old course and new course designs
research experience.Averaged across all summative questions, we saw score increases of 12% in year 1. The percentimprovement was determined as the change in score divided by the total possible score for thequestion, so it was not a percent improvement for the individual (which would be biased towardthose who gave low initial scores). In year 2, with the revised set of questions, the average scoreincrease across all questions was 19%. The questions showing the greatest increase in fellowconfidence in years 1 and 2 are shown in Tables 2 and 3, respectively. Also, a complete list ofthe pre-and post-test questions (and average scores) from years 1 and 2 are shown in Appendix Aand Appendix B, respectively.Table 2. Questions in Y1 with the greatest
an Online Near-Peer Mentoring Model,” Sustainability, vol. 15, no. 4. 2023.[7] Qua K, Pinkard O, Kundracik EC, Ramirez-Bergeron D, Berger NA. “Near Peer Mentors to Address Socio-Emotional Issues Among Underrepresented Minority High School Students in Research Intensive STEM Programs: Perceptions of Students and Mentors,” J STEM Outreach, vol. 3, no. 1. 2020.[8] Anderson, Margery K., R. Jerome Anderson, Laura S. Tenenbaum, Emily D. Kuehn, Holly K. M. Brown, Swati B. Ramadorai, and Debra L. Yourick. “The Benefits of a Near-Peer Mentoring Experience on STEM Persistence in Education and Careers: A 2004-2015 Study,” Journal of STEM Outreach, vol. 2, no. 1, pp. 1–11. 2019.[9] Crisp, G., & Cruz, I
engineeringeducation. A timeline in Figure 3 illustrates the changes in global and domestic energy policyand their correlation with the pace of the curriculum update in energy systems at the Universityof New South Wales (UNSW), for example. The key updates in the curriculum are designated as (a) to (g) to demonstrate the detailedcurriculum developments outlined below: (a) Introduction of Smart Grids and Distribution Networks as a new postgraduate course. (b) Launch of a new Year 3 course, Distributed Energy Generation. (c) Integration of microgrid and controller design using MATLAB/Simulink in Design Proficiency. (d) Addition of lab sessions in Distributed Energy Generation for hands-on experience in modeling distributed wind, photovoltaic (PV
to make their own decisions about the design. Teams were provided with a 7-weekschedule at the beginning of the project as a part of the guidelines document (shown in AppendixA). Groups turned in weekly team reports with a filled-out material cost sheet and correspondingCAD drawings on the online learning management system as early as week 3, enabling groups tobegin building their structures or collecting materials. A complete list of the materials providedcan be found in Appendix B. Weekly tasks were often divided between members such thatreasonable progress was made on individual unit processes, experimentation, CAD development,materials checkoffs, and building. The instructor communicated that important decisions shouldbe made by the
belong solely to theauthors and do not necessarily reflect the views of the NSF.ReferencesAmerican Society for Engineering Education. (2023). Profiles of engineering and engineering technology, 2022. https://ira.asee.org/wp-content/uploads/2023/12/Engineering-and- Engineering-Technology-by-the-Numbers-2022-1.pdfBlood, E. A., Ullrich, N. J., Hirshfeld-Becker, D. R., Seely, E. W., Connelly, M. T., Warfield, C. A., & Emans, S. J. (2012). Academic women faculty: Are they finding the mentoring they need? Journal of Women’s Health, 21(11), 1201–1208. https://doi.org/10.1089/jwh.2012.3529Buzzanell, P. M., Long, Z., Anderson, L. B., Kokini, K., & Batra, J. C. (2015). Mentoring in academe: A feminist
emotion modulation in learning systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 8, pp. 4624-4638, 2019.[8] K. Zhang, Y. Li, J. Wang, E. Cambria, and X. Li, "Real-time video emotion recognition based on reinforcement learning and domain knowledge," IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1034-1047, 2021.[9] E. Lakomkin, M. A. Zamani, C. Weber, S. Magg, and S. Wermter, "Emorl: continuous acoustic emotion classification using deep reinforcement learning," in 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018: IEEE, pp. 4445- 4450.[10] B. McFee et al., "librosa: Audio and music signal analysis in python
. Patterson, “A new golden age for computer architecture,” Communications of the ACM, 62(2), 48-60, 2019. [6] W. J. Dally, Y. Turakhia, and S. Han, “Domain-specific hardware accelerators,” Communications of the ACM, 63(7), pp.48-57, 2020. [7] D. M. Richter and M. C. Paretti, “Identifying barriers to and outcomes of interdisciplinarity in the engineering classroom,” European Journal of Engineering Education, 34(1), pp.29-45, 2009. [8] L. R. Lattuca, D. B. Knight, H. K. Ro, and B. J. Novoselich, “Supporting the development of engineers' interdisciplinary competence,” Journal of Engineering Education, 106(1), pp.71-97, 2017. [9] J. Biggs, “Enhancing teaching through constructive alignment,” Higher
. Interconnections among codes of students’ common ground responses in the lab room areshown in Panel C of Figure 7 (blue connections). During students’ common ground responses,there was a near-zero CD-M correlation (r=0.04) and a moderate CC-M correlation (r=0.49). Thissuggests that while expressing their common ground responses, students produced less gesturesthat were conceptually misaligned with course-specific speech and higher associations betweengestures conceptually aligned with course-specific speech. This result is in partial alignment withthe H1 in that, once common ground was established, student responses were more stronglycorrelated with conceptually concordant gestures and course-specific speech. The comparison plot (Panel B in Figure 7
-education-and-engineering-work[9] M. McLuhan, Understanding Media: The Extensions of Man. MIT Press, 1994.[10] F. A. Salim and J. M. M. Ferreira, “Improving the learning effectiveness of educational videos,” in 2023 IEEE Global Engineering Education Conference (EDUCON), May 2023, pp. 1–7. doi: 10.1109/EDUCON54358.2023.10125215.[11] B. Lazarevic, J. Fuller, and J. Cain, “Facilitating Community of Inquiry Through Video- Enhanced Online Instruction: What are Learners’ Impressions?,” TechTrends, vol. 67, no. 4, pp. 611–625, Jul. 2023, doi: 10.1007/s11528-023-00864-8.[12] E. Clinton, A. Galletta, and J. Zanton, “Overview and critical components of video-based instruction for students with disabilities,” Technol. Disabil., vol. 28, no
: from Conclusion: I believe that once the high purchase price for EV’s and the lack of infrastructure are solved, After completing parts A and B I found that electric cars and trucks will be wildly popular my predictions were correct when it came to on the roads of the U.S. and across the world the predicted vs. recorded binary values of which will furthermore highlight the added both tables. environmental benefits as with every gas car replaced by an EV will reduce emissions and help reduce the possible effects of climate change.More unevenness of prior knowledge transfer is demonstrated in the interpretation of quantitativedata. The research essay includes data appropriately with signal phrases and quoted material; inthe lab
. Gannon, and M. Amissah, “The Case for Systems Thinking in Undergraduate Engineering Education,” International Journal of Engineering Pedagogy (iJEP), vol. 12, no. 3, pp. 50-88, 2022, doi: 10.3991/ijep.v12i3.25035.[9] E. B. Dano, “Introducing Systems Thinking Techniques into an Undergraduate Engineering Education,” INCOSE International Symposium, vol. 32, no. 1, pp. 199-209, 2022, doi: 10.1002/iis2.12925.[10] G. Rebovich and B. E. White, Enterprise Systems Engineering: Advances in the Theory and Practice. Boca Raton, FL: CRC Press, Taylor & Francis Group, Auerbach, 2011.[11] Object Management Group, “OMG Systems Modeling Language.” https://www.omgsysml.org/.[12] S. Friedenthal, A. Moore, and R. Steiner, A Practical Guide
interactionsincluded latency which can delay the exchange of user selections, object movements inside a 3Dlearning scene, among others. Fig 1: An immersive VR based VLE (the student is wearing a 3D headset and interacting with the target environment using a controller) Fig 1 b: A Mixed Reality based VLE; a student can be seen interacting with the virtual scene using gestures; not show is the target physical assembly environment (which is in the real or physical world).Fully immersive environments (fig 2) are environments where your reference to the real world iscompletely eliminated (or the immersion is 360 degrees). Users can wear Helmet MountedDisplays (HMDs, sometimes referred to as headsets) on which
: a) How do you apply for are the most important skills (set) internships? b) How do you prepare outside of programming for your for the interview? c) Career path and career? b) Advice on how to improve opportunity, and d) How to deal with coding skills. c) What is your daily stress and impostor syndrome. job routine and your mood on average after you get home? d) What jobs can you get with a computing career? Which factors Top Ranked answers by participants: Top Ranked answers by participants: contributed to your • I liked
, “Increasing production efficiency through the reduction of230 transportation activities and time using 4D BIM simulations,” Eng. Constr. Archit. Manag.,231 vol. 28, no. 8, pp. 2222–2247, 2021.232 [11] A. B. Aragó, J. R. Hernando, F. J. L. Saez, and J. C. Bertran, “Quantity surveying and BIM233 5D. Its implementation and analysis based on a case study approach in Spain,” J. Build.234 Eng., vol. 44, p. 103234, 2021.235 [12] M. Valinejadshoubi, O. Moselhi, and A. Bagchi, “Integrating BIM into sensor-based236 facilities management operations,” J. Facil. Manag., vol. 20, no. 3, pp. 385–400, 2022.237 [13] V. Pereira, J. Santos, F. Leite, and P. Escórcio, “Using BIM to improve building energy238 efficiency–A
final exam mandatory in Fall 2023. Students receive a grade before the final based on threefactors: the number of learning targets (including core ones) they have mastered, the completion ofworksheets, and their overall average on WebAssign. The final exam now contributes to their coursegrade, potentially modifying it based on performance. For instance, scoring 88% on the final couldraise a student's grade by one level, from a B to a B+. Conversely, scoring below 65% could lowertheir base grade by one level, from a B to a B-. See Table 1 for details.Table 1: Course Grades, AFTER the Final Scores on the final Scores on the final Scores below this needed to move up needed to
department, so I’m keeping those tools and resources in my back pocket right now.” In the second stage of our project, we plan to follow up with Participant A in order tounderstand if they have moved the MACH tools from a “back pocket” to the forefront in theacademic change work they are pursuing now. For Participant B, the challenge they experienced before the MACH workshop focusedon working as a graduate assistant for a course that had inherent problems, primarily withgrading. In their interview, Participant B reflected that while they could see that grading in thecourse was “not good,” their position as a GA meant that they didn’t have adequate authority tomake the changes that they saw as necessary: “I don’t feel as if I’m in a
stronger agreement. In other words, ahigher score means students more strongly identify as engineers, feel like they belong andbelieve in masculine norms. All the questions for each instrument as well as the instructions forstudents are listed in Appendix A.The original Collective Self-Esteem instrument uses social groups. Here we adjusted thisinstrument to indicate chemical engineering as the social group. Appendix B shows the exactchanges that were made for this instrument. Note that this instrument has four subscales. Thefirst one is Membership and this this indicates if the subjects feel like they are a worthy or“good” member of the group. The second subscale is Private. This assesses the individual’sperception of the worthiness of the group