of broccoli microgreens (⍴ B):Finally, daily yield is used to determine the electricity costs shown in Table 1 below. Electricityneeds are directly related to the amount of energy required for pressing or drying, PP, for thedrying process is modeled as a function of time-power per ton, the mass of microgreensproduced per hour (Mp), and the rate of microgreen drying (RM,press) (hourly):To find the total energy used for the press, we accounted for the total power required for pressingand the total number of presses on-site:After calculating the key operating parameters in our broccoli microgreen land-based andhydroponic systems in the computations above, it was determined that the resulting operatingcost will be $45.54 per dry ton biomass.In
. 199–216, Jun. 2008, doi: 10.1002/j.2334- 4822.2008.tb00509.x.[2] K. Haag, S. B. Pickett, G. Trujillo, and T. C. Andrews, “Co-teaching in Undergraduate STEM Education: A Lever for Pedagogical Change toward Evidence-Based Teaching?,” CBE—Life Sci. Educ., vol. 22, no. 1, p. es1, Mar. 2023, doi: 10.1187/cbe.22-08-0169.[3] C. Henderson, A. Beach, and M. Famiano, “Promoting instructional change via co- teaching,” Am. J. Phys., vol. 77, no. 3, pp. 274–283, Feb. 2009, doi: 10.1119/1.3033744.[4] D. Sachmpazidi, A. Olmstead, A. N. Thompson, C. Henderson, and A. Beach, “Team- based instructional change in undergraduate STEM: characterizing effective faculty collaboration,” Int. J. STEM Educ., vol. 8, no. 1, p. 15, Apr. 2021, doi
. Hegde, C. Son, B. Keller, A. Smith and F. Sasangohar, "Investigating mental health of US college students during the COVID-19 pandemic: cross-sectional survey study.," Journal of Medical Internet Research, vol. 22, no. 9, 2020.[4] P. Sahu, "Closure of universities due to coronavirus disease 2019 (COVID-19): impact on education and mental health of students and academic staff," Cureus, vol. 12, no. 4, 2020.[5] G. D. Kuh, High-Impact Educational Practices: What They Are, Who Has Access to Them, and Why They Matter, Association of American Colleges and Universities, 2008.[6] J. Van Dyken and L. Benson, "Precalculus as a death sentence for engineering majors: A case study of how one student survived," International Journal of
major policy issues and events:1. The concepts of Moral responsibility, Official Responsibility, Professional Responsibility, and Role Responsibility are important not only in the political, economic, social and religious spheres but also in the fields of science and engineering. Briefly define these concepts and: a) Discuss and define whistleblowing, including its four elements; b) Discuss and define the Categorical Imperative, and how it should inform decisions to engage in whistleblowing.2. Many thinkers strongly advocate a focus on Systems Thinking and have advanced an approach to this way of thinking called Complex Systems Theory. a) What is Systems Thinking? b) What are the properties of Complex Systems Theory, including its
. Conf. 2019, Minneapolis, MN,USA. B. Steiz, Ed. https://doi.org/10.26207/9z0c-7955.[13] X. Lei, “The impact of emotion management ability on learning engagement of collegestudents during COVID-19,” Frontiers in Psychology, vol. 13, Aug. 2022,https://doi.org/10.3389/fpsyg.2022.967666.[14] K. Phillips, “IF I APPLY: Identifying Bias and Resource Credibility,” Penn State UniversityLibraries, 2019. https://guides.libraries.psu.edu/IFIAPPLY.[15] R. S. Nickerson, “Confirmation bias: A ubiquitous phenomenon in many guises,” Rev. ofGeneral Psychol., vol. 2, no. 2, 175-220, 1998.[16] E. Roles, K. Phillips, and S. Thomas, “LibGuides: IF I APPLY - a source evaluation tool:Home,” IF I APPLY - A source evaluation tool, 2016. https://libguides.marshall.edu
-0.08 No SIV 66 4.30 1.05 SIV 111 4.22 1.57 A- 0.23 No SIV 120 3.99 1.60 SIV 22 3.64 2.01 B+ -0.32 No SIV 28 3.96 1.71 SIV 25 3.36 1.63 B 0.00 1.118 0.351 No SIV 22 3.36 1.40 SIV 7 3.00 0.00 B
digital devices which reduced the science ofmeasurement to black-boxes with readout windows. A psychrometric chart (Figure 1b) aids in mapping theother psychrometric properties of air, humidity ratio (W), specific volume (v), enthalpy (h), relativehumidity (%RH), saturation temperature, and, most importantly, dewpoint (TDP). The handheld tool and thegraphical tool working together reinforces the understanding of psychrometry. a) Sling-psychrometer b) Psychrometric chart with properties shown Figure 1: Needed Tools that are provided to students. To perform the experiment, students need access to a small shower room. Most students have accessto campus dormitories or off-campus housing
, 2021.[27] C. G. P. Berdanier, “Genre maps as a method to visualize engineering writing and argumentation patterns,” Journal of Engineering Education, vol. 108, no. 3, Jul., pp. 377–393, 2019.[28] J. Gainsburg, J. Fox, and L. M. Solan, “Argumentation and decision making in professional practice,” Theory Into Practice, vol. 55, no. 4, Oct., pp. 332–341, 2016.[29] C. M. Gray, “Narrative qualities of design argumentation,” in Educational Technology and Narrative, B. Hokanson, G. Clinton, and K Kaminski, Eds. Switzerland: Springer Cham, 2018, pp-51-64.[30] J. A. Lyon, H.W. Fennell, A.J. Magana, “Characterizing students’ arguments and explanations of a discipline-based computational modeling activity
37 44 55 63 A. SUMMARY 4.6 (Avg. of B & C) A. SUMMARY (Avg. of B & C) 4.5 59 IDEA
. Thought, vol. 49, no. 1–2, p. 71, 2015, doi: 10.2307/jthought.49.1-2.71.[44] R. Albertyn, “Making a case for Doctoral Intelligence: Conceptualisation and insights for researcher development,” Innov. Educ. Teach. Int., vol. 59, no. 6, pp. 623–633, Nov. 2022, doi: 10.1080/14703297.2021.1899033.[45] B. S. Lai, M. S. Livings, M. P. D’Amico, M. J. Hayat, and J. Williams, “A GROWTH MINDSET PILOT INTERVENTION FOR A GRADUATE-LEVEL BIOSTATISTICS COURSE,” Stat. Educ. Res. J., vol. 17, no. 2, pp. 104–119, Nov. 2018, doi: 10.52041/serj.v17i2.161.
, and background knowledgeThe six faculty narratives have been anonymized. Faculty A, D, E, and F are male while FacultyB and C are female. Further, all but Faculty B teach in STEM departments. Faculty B teaches inthe School of Social Sciences.Faculty A’s mentoring methodology - novice undergraduate researchers progress towards a levelof independence gingerly as they experience the varying aspects of the scientific process. Self-sufficiency cannot be abruptly taught, nor developed. However, the confidence and capabilitiesof the mentee increase as the mentee engages in experimental design, conducting experiments,interpreting results, and communicating their work to others. As the mentee encounters eachaspect of research, they develop some
extracurricular nature of these research opportunities. Bibliography[1] B. P. Chang and H. N. Eskridge, “What Engineers Want: Lessons Learned from Five Years of Studying Engineering Library Users,” presented at the 2015 ASEE Annual Conference & Exposition, Jun. 2015, p. 26.1721.1-26.1721.17. Accessed: Feb. 24, 2023. [Online]. Available: https://peer.asee.org/what-engineers-want-lessons-learned-from-five-years-of-studying- engineering-library-users[2] J. de la Cruz, A. Winfrey, and S. Solomon, “Navigating the Network: An Exploratory Study of LGBTQIA+ Information Practices at Two Single-Sex HBCUs | de la Cruz | College & Research Libraries,” Mar. 2022, doi: https://doi.org/10.5860/crl.83.2.278.[3] F. Albarillo, “Information
minds study, 2013–2021,” Journal of Affective Disorders, vol. 306, pp. 138–147, Jun. 2022, doi: 10.1016/j.jad.2022.03.038.[3] A. Danowitz and K. Beddoes, “Mental Health in Engineering Education: Identifying Population and Intersectional Variation,” IEEE Trans. Educ., vol. 65, no. 3, pp. 257–266, Aug. 2022, doi: 10.1109/TE.2022.3182626.[4] A. Danowitz and K. Beddoes, "Characterizing Mental Health and Wellness in Students Across Engineering Disciplines", 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference, 2018.[5] Sanchez-Pena, M. L., & Ramirez, N., & Xu, X. R., & Samuel, D. B., "Work in Progress: Measuring Stigma of Mental Health Conditions and Its Impact in Help-seeking
, and J.-C. Liang, “Current status, opportunities and challenges of augmented reality in education,” Comput. Educ., vol. 62, pp. 41–49, Mar. 2013, doi: 10.1016/j.compedu.2012.10.024.[7] S. Cai, X. Wang, and F.-K. Chiang, “A case study of Augmented Reality simulation system application in a chemistry course,” Comput. Hum. Behav., vol. 37, pp. 31–40, Aug. 2014, doi: 10.1016/j.chb.2014.04.018.[8] M. Constan and N. Ciubotaru, “Virtual Reality and Augmented Reality in Education,” Virtual Real. Educ., pp. 1–12, 2017.[9] S. K. Gogula, S. D. Gogula, and C. Puranam, “Augmented Reality in Enhancing Qualitative Education,” Int. J. Comput. Appl., vol. 132, no. 14, pp. 41–45, Dec. 2015.[10] J. Byrnes and B. A. Wasik, “Picture This
some groups ofpeople over others. Below, we describe each argument and analyze what common narratives thestudents are pushing back against by using that argument.A note on the missing AI-human comparison: There are two common arguments for using AIinstead of humans for hiring: (a) that humans are biased, while computers do not see physicalcharacteristics, so must not be biased, and (b) that machines can do this process more efficiently,at a much larger scale than humans can do manually. In both groups’ discussions, we see nods toreasoning (b) (turns 1.2 and 2.2), but neither of the recorded discussions nor any of these sevenstudents’ written pre-responses mention hiring done by humans. However, both groups mentionexamples, like the practice of
Burnin’! Agency, Identity, and Science Learning,” Journal of the Learning Sciences, vol. 19, no. 2, pp. 187–229, Apr. 2010, doi: 10.1080/10508400903530044.[13] C. I. Damşa, P. A. Kirschner, J. E. B. Andriessen, G. Erkens, and P. H. M. Sins, “Shared Epistemic Agency: An Empirical Study of an Emergent Construct,” Journal of the Learning Sciences, vol. 19, no. 2, pp. 143–186, Apr. 2010, doi: 10.1080/10508401003708381.[14] A. Pickering, The Mangle of Practice: Time, Agency, & Science. Chicago, IL: University of Chicago Press, 1995.[15] V. Svihla, N. Kellam, and S. Davis, “The Consequential Agency of Faculty Seeking to Make Departmental Change,” in American Society of Engineering Education Conference
-centered cubic crystal structure: a) A hard-sphere unit cell representation, b) A reduced sphere unit cell, and c) An aggregate of many atoms [1]The materials science course at our school has a physical lab related to this topic. In this lab,ping-pong balls are used to represent atoms, and adhesive is used to connect them together basedon the definitions of a given crystal structure. This lab significantly helped students to developspatial skills and an understanding of typical crystal structures. Based on observations anddiscussions over the past several years, it was found that some students still had difficulty 1understanding the basic concepts of typical crystal structures. We
Integrity Code(MIC)) and confirmation.Exercise 4: WPA3 AES Mode CMAC MIC Verification of the EAPOL-M2 using WPA KCKIn WPA3 (with IEEE 802.11w being mandatory), the MIC is computed using the WPA Key Con-firmation Key (KCK) in the case of the EAPOL-M2 unicast frame (see Figure 8). Figure 8: AES Mode CMAC MIC Verification with KCK in WPA3 EAPOL-M2 [26].The students are to identify the EAPOL-M2 message in a 4-way handshake that is captured byWireshark. The MIC value of the EAPOL-M2 becomes the wTarget. The payload to be used forcomputing the MIC value should have the MIC string replaced with zeros. The KCK is extractedfrom the logs. The students are to compute the cTarget using the Python script (AES-128 MODECMAC implementation) provided in B.2.1
, on the opposite side as the safety tie. This line marked the lap joint area forbioadhesive testing (Figure 1A). Students applied a constant volume of either of the bioadhesivesto the lap joint area, then adhered two chamois together at the lap joint. To vary the drying time,students briefly applied heat using a hairdryer, then let samples dry at room temperature for up to30 min.Figure 1. Representative bioadhesive testing procedure and student data demonstratingsuccessful adhesion of chamois leather strips and lap-shear mechanical testing. (A) Leatherchamois strips with plastic safety ties. (B) Example of lap-shear mechanical testing procedureusing a luggage scale to measure force. (C) Graph of average force to failure for
Annual Conference Content Access Proceedings, Virtual Conference, jul. 2021, p. 36877, doi: 10.18260/1-2--36877 [Online]. Available in: http://peer.asee.org/36877.[8] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, “Leaving Engineering: A Multi-Year Single Institution Study”, Journal of Engineering Education, vol. 101, n.o 1, pp. 6-27, ene. 2012, doi: 10.1002/j.2168-9830.2012.tb00039.x. [Online]. Available in: https://onlinelibrary.wiley.com/doi/10.1002/j.2168-9830.2012.tb00039.x.[9] K. L. Lewis, J. G. Stout, S. J. Pollock, N. D. Finkelstein, and T. A. Ito, “Fitting in or opting out: A review of key social-psychological factors influencing a sense of belonging for women in physics”, Phys. Rev. Phys. Educ. Res., vol. 12, n.o 2, p
. Journal of Business Venturing, 16(5), 495-527. doi:http://dx.doi.org/10.1016/S0883- 9026(99)00054-3Audretsch, D. B. (2014). From the entrepreneurial university to the university for the entrepreneurial society. The Journal of Technology Transfer, 39(3), 313-321.Baldini, N., Grimaldi, R., & Sobrero, M. (2007). To patent or not to patent? A survey of Italian inventors on motivations, incentives, and obstacles to university patenting. Scientometrics, 70(2), 333-354.Balven, R., Fenters, V., Siegel, D. S., & Waldman, D. (2018). Academic entrepreneurship: The roles of identity, motivation, championing, education, work-life balance, and organizational justice. Academy of Management Perspectives, 32(1), 21
Paper ID #38168What Do Engineering and Other STEM Faculty Need? Exploring the Nu-ancesof Psychological NeedsDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on eDr. Jennifer J. VanAntwerp, Calvin University Jennifer J. VanAntwerp is a Professor of Engineering at Calvin University in Grand Rapids, Michigan. She earned an M.S. and Ph.D. in Chemical Engineering from the University
the students listed had a LinkedIn business profile page. Using eachcompany profile, the company industry classification was also noted in Excel. Each companyself-identifies their industry on their LinkedIn profile page. This provides an objective method ofcategorizing the company industry, even when a company services multiple industries. Examplesof a company’s self-identified industry on LinkedIn are below. Figure 3(a)-(c) are examples ofautomotive industry company profiles. Figure 3: LinkedIn Profiles of (a) General Motors [22], (b) Gestamp [23], (c) Toyo Tires [24]Companies whose industry classification was “Motor Vehicle Manufacturing” or “Motor VehicleParts Manufacturing” or “Automotive” were lumped together to become the more
, “Service-learning and disaster recovery: Implications for government, communities, and colleges,” in Community engagement in higher education, Online-Ausg.in Pittsburgh Studies in Comparative and International Education. Rotterdam: SensePublishers, 2015, pp. 41–49.[12] T. Sescon, “Service Learning as a Response to Disasters and Social Development,” Japan Social Innovation Journal, vol. 2, no. 1, pp. 64–71, 2012.[13] B. Steiner and R. Sands, “Responding to a Natural Disaster With Service Learning,” Family Medicine, vol. 32, no. 9, pp. 645–649, 2000.[14] A. Solinska-Nowak et al., “An overview of serious games for disaster risk management – Prospects and limitations for informing actions to arrest increasing
engineering programs and which program activities or students' experiences havecontributed to the development of students’ stakeholder awareness. For example, it will be worth studyingthe impact of internships and/or extracurricular activities on such stakeholder awareness. In the same way,using the rubric for assessing its effectiveness when assessing students’ systems thinking while addressingdifferent scenarios or design projects, such as capstone design projects. 7REFERENCES[1] J. R. Grohs, G. R. Kirk, M. M. Soledad, and D. B. Knight, “Assessing systems thinking: A tool to measure complex reasoning through ill-structured problems
that chose to take the optional extra credit quiz across all sections andsemesters are treated equally by being separated into three groups based on their overall grade inthe class: Group 1 (A- or above), Group 2 (B- to B+), and Group 3 (C+ and below). For eachsemester, we calculated the average quiz score across groups, and compared the results andtrends visually as shown in Figure 1. Figure 1: Average quiz score of the three groups in each semesterIn Figure 1, we observed that students in Group 1 consistently scored higher on the quiz than theother two groups, except in Fall 2020 where they scored slightly lower than Group 2. However,the average quiz score for Group 1 was always an A (above 90%) across the four
scope of aproblem—a skill highly desired for its potential in innovation and entrepreneurship—fills a uniquecurricular gap. The survey of learning experiences showed statistically significant differencesbetween pre- and post-course scores in self-efficacies, which suggests that students sawimprovement in the ratings of their learning in five target areas: (A) background research skills,(B) critical thinking and ideation, (C) project management and teamwork, (D) technicalcommunication skills, and (E) interest in medical engineering.1. Introduction Current engineering education has well-established curricula that covers domain knowledge,mathematic skills, and engineering tools. Although education content and format have evolved,the general
several categories, which were subsequently analyzed and labeled as thematic learning processes [25] (see Tables 1 and 2 in the Appendices).• Developing memos: We created memos to further analyze and describe the themes and begin answering the research questions of what the participants learned and how they learned. These memos were the basis for the presentation of the findings in the next section.Findings 1: Student Learning Experiences in the Educational EcosystemFrom the analysis of the students’ interviews, we identified five main themes characterizing thelearning processes in their university engineering studies: (a) Learning the science andapplication of engineering; (b) Learning beyond engineering; (c) Learning the
, adapting the methodology to the students’ preferences andmeasuring its impact in the development of competences related to Six Sigma.AcknowledgementThe authors would like to acknowledge the financial support of Writing Lab, Institute for theFuture of Education, Tecnologico de Monterrey, Mexico, in the production of this work.References[1] R. A. Munro, G. Ramu, and D. J. Zrymiak, The Certified Six Sigma Green Belt Handbook, 2nd edition. 2015.[2] ASQ, “Save Your Company a Fortune,” ASQ Six Sigma Business Solutions, 2009.[3] M. Kharub, B. Ruchitha, S. Hariharan, and N. Shanmukha Vamsi, “Profit enhancement for small, medium scale enterprises using Lean Six Sigma,” Mater Today Proc, vol. 56, pp. 2591–2595, Jan. 2022, doi: 10.1016
Paper ID #39319Board 2A: WIP:Opportunities in Cultural Dimensions between Architectureand Civil Engineering students in EcuadorDaniel Cartuchevictor R viteriDr. Miguel Andres Guerra, Universidad San Francisco de Quito USFQ MiguelAndres is an Assistant Professor in the Polytechnic College of Science and Engineering at Uni- versidad San Francisco de Quito USFQ. He holds a BS in Civil Engineering from USFQ, a M.Sc. in Civil Engineering in Construction Engineering and Project Management from Iowa State University, a Ph.D. in Civil Engineering with emphasis in Sustainable Construction from Virginia Tech, and two Grad- uate