7 References 1. Roberts, F. L., Kandhal, P. S., Brown, E. R., Lee, D. Y., & Kennedy, T. W. (1991). Hot mix asphalt materials, mixture design and construction. 2. Van Poel, C. D. (1954). A general system describing the visco‐elastic properties of bitumens and its relation to routine test data. Journal of applied chemistry, 4(5), 221-236. 3. Bari, J. (2005). Development of a new revised version of the Witczak E* predictive models for hot mix asphalt mixtures. Arizona State University. 4. Witczak, M. W., Quintas, H. V., Kaloush, K., Pellinen, T., & Elbasyouny, M. (2000). Simple performance test: Test results and
-grid-ercot/. [Accessed: 24- Jan-2022].6. “Text - H.R.2482 - 117th Congress (2021-2022): Microgrid ...” [Online]. Available: https://www.congress.gov/bill/117th-congress/house-bill/2482/text?r=165&s=1. [Accessed: 24-Jan-2022].7. “S.1183 - A bill to establish an energy storage and microgrid grant and technical assistance program.,” Congress.Gov, 11-Apr-2019. [Online]. Available: https://www.congress.gov/bill/116th-congress/senate- bill/1183/text?q=%7B%22search%22%3A%5B%22microgrid%22%2C%22microgrid%22%5D%7D&r=43&s=1. [Accessed: 23-Jan-2022].8. “(H.R. 4447) to establish an energy storage and microgrid grant and technical assistance
nee d of … ysel f f te eff o gro le nge peop I am ri vil e o t he e rs e ED s n ds art o fo r o f hal il ar h o p so f
with most things of a complex nature there are many problems that we maynot foresee. In doing our best to avoid these issues, diligent planning and research-basedsolutions will be utilized to provide students with an environment that is conducive tocollaborative learning. While the development of 3-D modeling skills and spatial ability areintegral to this project it is important to keep in mind that at the heart of the ABLE project is thedevelopment of a collaborative learning experience that can potentially help us addresschallenges we face as a global community.Figure 1Community Water TankFigure 2Automated Milk Line REFERENCESAllen, D. E., Donham, R. S., & Bernhardt, S. A. (2011). Problem
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. Figure 11. Color-indexed Hierarchy of Ethics Topics (Green: Top 1-8, Yellow: Top 9-17, Orange: Top 22-36, Red: Uncovered Topics)AcknowledgementProject sponsored by the National Security Agency under Grant/Cooperative Agreement NumberH98230-21-l-0167. The United States Government is authorized to reproduce and distributereprints notwithstanding any copyright notation herein. Any opinions, findings, and conclusionsor recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Security Agency. This manuscript is submitted for publicationwith the understanding that the United States Government is authorized to reproduce anddistribute reprints.References[1] S. Deb
: Research, vol. 9, no. 1, pp. 115-131, 2010. [Online]. Available: https://doi.org/10.28945/1167. [Accessed April 16, 2020].[11] P. Bourdieu, "The forms of capital (1986)," in Cultural Theory: An Anthology, I. Szeman and T. Kaposy, Eds. West Sussex: Wiley, 2011, pp. 81-93.[12] D. Swartz, Culture and Power: The Sociology of Pierre Bourdieu. Chicago: University of Chicago Press, 1997.[13] A. Portes, "Social capital: Its origins and applications in modern sociology," in Knowledge and Social Capital, E. L. Lesser, Ed. Boston, MA: Butterworth-Heinemann, pp. 43-67, 2000.[14] J. Anyon, "Social class and the hidden curriculum of work," Journal of Education, vol. 162, pp. 67-92, 1980.[15] J. Nahapiet and S
industry mentor(s) over time sothat they could build a relationship with the mentor(s) and feel comfortable enough to ask questions onany range of topics. These sessions, moreover, were designed such that mentor(s) responded to theinterests and needs of the REM students in what we called a “Mr. Roger’s” fashion – inviting a friendof theirs to talk with the students for a little while about an interest they expressed (i.e., EngineersWithout Borders).Interactive Talks with Industry Professionals. The purpose was to give the REM students insight intothe daily life of an engineer working in the energy sector and hear what they are doing around all thedifferent energy sources (e.g., gas, oil, wind, solar), and how their companies are innovating
mentoring program for juniorfaculty: Recommendations for practice. In To improve the academy, vol. 16, editedby D. DeZure. Stillwater, OK: New Forums Press and the ProfessionalOrganizational Development Network in Higher Education[4] Schlosser, L. Z., S. Knox, A. R. Moskovitz, and C. E. Hill. 2003. A qualitativeexamination of graduate advising relationships: The advisee perspective. Journal ofCounseling Psychology 50(2):178–188.[5] Matthews, K., (2014) Perspectives on Midcareer Faculty and Advice forSupporting Them. Cambridge, MA: Collaborative on Academic Careers inHigher Education White Paper.[6] National Academies of Sciences, Engineering, and Medicine 2019. TheScience of Effective Mentorship in STEMM. Washington, DC: The NationalAcademies Press
, vol. 14, n.o 1, pp. 1-11, 2018.[3] P. Appiah-Kubi y E. Annan, «A Review of a Collaborative Online International Learning», International Journal of Engineering Pedagogy (iJEP), vol. 10, n.o 1, Art. n.o 1, ene. 2020, doi: 10.3991/ijep.v10i1.11678.[4] F. F. Guimarães y K. R. Finardi, «Global citizenship education (GCE) in internationalization: COIL as alternative Thirdspace», Globalisation, Societies and Education, vol. 19, n.o 5, pp. 641- 657, oct. 2021, doi: 10.1080/14767724.2021.1875808.[5] V. P. Misra, S. Rautela, A. Sharma, y P. Mishra, «Collaborative Online International Learning (Coil) in Teaching-Learning: Bridging the Student Mobility Gap in Internationalization of Higher Education.», International Journal of Modern
REFERENCESchoice of future major but may not lead to their choice of themajor in this pilot. [1] Mack, K., Rankins, C., and Woodson, K. (2013). From graduate school toB. Interpretations and implications the STEM Workforce: An entropic approcach to career identity development for STEM women of color. New directions for Higher A review of all participants' major interests prior to their Education, 163, pp.23-24.attending in I-CUREs showed that most of freshmen were not [2] Freeman, S., Eddy, S. L., McDonough, M. K., Okoroafor, N., Jordt, H.,originally
forthem.AcknowledgementsThis material is based upon work supported by the National Science Foundation underIUSE/PFE: RED Grant No. 1920761. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Appendix: Questionaries for Reflection PiecesInitial Reflection Piece1) Please articulate how you are attending the class, how you plan to study, what you believe may give you difficulties, and most importantly what steps will you take to tackle those perceived difficulties.2) Please give me suggestions on what I can do to help you succeed in this class.3) Have you been classified via formal diagnosis as belonging to the neurodiversity
that Kung et al.’s (2022) paper actually listed ChatGPT as a co-author. On the other hand, Thorp (2023) has declared that ChatGPT cannot be considered anauthor since research is an intrinsically human endeavor. Thorp (2023) similarly specified thattext generated by artificial intelligence has been restricted from appearing in Science journals. Inany case, the text of the proposed question group follows: A major writing assignment is coming up for an engineering student’s capstone design course during a very busy part of the semester. There are a few major sections of the paper that require mostly formulaic responses. A student in the course decides to use ChatGPT, an artificial intelligence chatbot, to write those
conveniencefor the actors, facilitators, and students. Whether or not it returns to an on-campusimplementation in future years will be decided collaboratively by those who plan this event andthe theatre personnel who implement it. Additional considerations regarding futureimplementations of the Theatre Sketch productions are related to the time, effort, and cost ofproduction and the university and department budgetary resources.AcknowledgmentThis material is based upon work supported by the National Science Foundation. Any opinions,findings, conclusions, or recommendations expressed in this material are those of the author(s)and do not necessarily reflect the views of the National Science Foundation. The authors alsothank the Partnership for Equity
semester.Our results suggest that PLTL in Calculus 1 strongly supports student success, with particularlystrong gains for students typically underrepresented in engineering. While the focus ondeveloping problem-solving skills and engagement with course content is important, intentionalcommunity-building to foster peer connections that lead to mutual academic support appears tobe a crucial aspect of these gains. Thus, linking PLTL to a LC or incorporating intentionalcommunity-building directly into early PLTL sessons will help maximize achievement gains.References[1] J. A. Middleton, S. Krause, S. Maass, K. Beeley, J. Collofello, and R. Culbertson, “Early course and grade predictors of persistence in undergraduate engineering majors
Barbara and Cal Poly San Luis Obispo. At AHC, he is Department Chair of Math- ematical Sciences, Faculty Advisor of MESA (the Mathematics, Engineering, Science Achievement Pro- gram), and Principal/Co-Principal Investigator of several National Science Foundation projects (S-STEM, LSAMP, IUSE). In ASEE, he is chair of the Two-Year College Division, and Vice-Chair/Community Col- leges of the Pacific Southwest Section. He received the Outstanding Teaching Award for the ASEE/PSW Section in 2022.Dr. James M Widmann, California Polytechnic State University, San Luis Obispo Jim Widmann is a professor and chair of the Mechanical Engineering Department at California Polytech- nic State University, San Luis Obispo. He received
department at the case University in November 2022, six teachers agreed to beinterviewed. Previous studies had used the interpretative phenomenological analysis (IPA)method to collect data from a small sample size (e.g., six interviewees in Wartenweiler’sstudy and Five interviewees in Wood et al.’s study [29][30][31]). The researcher decided todeploy the IPA method to work with the six female CS and engineering teachers. Duringinterviews, the questions were asked based on these guiding research questions: Whatperceived role and responsibilities do female faculty of computer science and engineeringhold? In what ways faculty’s gender identity influence their perceived roles andresponsibilities? How do they carry out their roles and responsibilities in
Journal of Engineering Education, 43(6), 927–949. https://doi.org/10.1080/03043797.2018.1462766Faber, C., & Benson, L. C. (2017). Engineering students' epistemic cognition in the context of problem- solving. Journal of Engineering Education, 106(4), 677–709. https://doi.org/10.1002/jee.20183Gillborn, D., Warmington, P., & Demack, S. (2018). QuantCrit: Education, policy, 'big data' and principles for a critical race theory of statistics. Race Ethnicity and Education, 21(2), 158–179. https://doi.org/10.1080/13613324.2017.1377417Godwin, A. (2017). Unpacking Latent Diversity. 2017 ASEE Annual Conference & Exposition Proceedings, Columbus, OH. https://peer.asee.org/29062Godwin, A., Benedict, B., Rohde
can lead to better performance and less focus onmemorization. Additionally, online students had more positive feedback about the quality of thecourse and instructor compared to the in-person students. From an institutional perspective, onlinecourses can increase enrollment and allow students to access education at their own pace and fit itinto their flexible schedules.References[1] T. Braun, “Making a choice: The perceptions and attitudes of online graduate students,” J. Technol. Teach. Educ., vol. 16, no. 1, pp. 63–92, 2008.[2] P. C. Holzweiss, S. A. Joyner, M. B. Fuller, S. Henderson, and R. Young, “Online graduate students’ perceptions of best learning experiences,” Distance Educ., vol. 35, no. 3, pp. 311– 323, 2014.[3] V. Benigno
recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.ReferencesBarton, A. C., & Yang, K. (2000). The culture of power and science education: Learning fromMiguel. Journal of Research in Science Teaching: The Official Journal of the NationalAssociation for Research in Science Teaching, 37(8), 871-889.Bowen, C. L., Thompson, L. L., Menezes, G. B., & Restrepo Nazar, C. (2022a).Work-In-Progress: Measuring Systemic Educational Wellness using the Eco-STEM EducationalEcosystem Health Survey. In 2022 ASEE Annual Conference & Exposition.Bowen, C. L., Heubach, S., & Dong, J. (2022b). Eco-STEM Tools: Changing the Culture ofTeaching and Learning in STEM. In 2022
where sectionsof the course had teams with: homogeneous, heterogeneous, and random (control) cultural competency. Culturalcompetency was examined using the Miville-Guzman Universality-Diversity Scale short form (M-GUDS-S) whichmeasures a single construct of Universal- diversity orientation (UDO) with three factors. Team dynamics weremeasured using instruments of team effectiveness at the end of the semester. The paper discusses the evidence ofreliability and validity of the self-reported instruments with an analysis of differences in the team dynamics ofsections based on homogeneous, heterogeneous, and control group of M-GUDs score. The study discusses theimplications of assessing the cultural competencies of students in the context of teamwork
main stakeholder impacted by the desired outcome? 4. What are the DEI indicators or metrics associated with this desired outcome? 5. What action verbs make this goal specific, measurable, and attainable? 6. What are the accepted definitions of the DEI indicators identified? 7. What aspect of the DEI framework does this outcome relate to?Table 2: DEI Action Plan MatrixGoal Partner Goal / Stakeholder Indicator / Action RECIPES Shared Definition (s) DEI Type Objective Metric Verb (s) CategoryA In Network Increase the Students Power Increase the ability to control
, France, July 9-11, 2014, Proceedings, Part II 14, Springer, 2014, pp. 415–422.[3] M. Marschark et al., “Benefits of Sign Language Interpreting and Text Alternatives for Deaf Students’ Classroom Learning,” J. Deaf Stud. Deaf Educ., vol. 11, no. 4, pp. 421–437, Oct. 2006, doi: 10.1093/deafed/enl013.[4] Angrave, L., Lualdi, C., Jawad, M., & Javid, T. “ScribeAR: A New Take on Augmented-Reality Captioning for Inclusive Education Access”. 2021 Illinois-Indiana Regional Conference, 2021. https://peer.asee.org/38276[5] L. Lawrence, S. Shehab, M. Tissenbau, T. Rui, and T. Hixon, “Human-Centered Design Taxonomy: Case Study Application With Novice, Multidisciplinary Designers”. 2020. doi: 10.3102/1690347.[6] N. Dehak, P. J
Educational Resource Development for STEM Disciplines. in (2020).4. Sukhai, M. A. & Mohler, C. E. Creating a Culture of Accessibility in the Sciences. (Elsevier Science & Technology, 2016).5. Universal Declaration of Human Rights. United Nations https://www.un.org/en/about-us/universal-declaration- of-human-rights.6. UNESCO Recommendation on Open Educational Resources (OER). UNESCO https://en.unesco.org/news/unesco-recommendation-open-educational-resources-oer (2019).7. Tajmel, T., Starl, K. & Spintig, S. The Human Rights-Based Approach to STEM Education. (Waxmann, 2021). doi:10.18452/23769.8. Disability and health. World Health Organization https://www.who.int/news-room/fact-sheets/detail/disability- and
$400K to ransomware hackers, 2019. Retrieved from: https://statescoop.com/georgia-county-paid-400k-to-ransomware-hackers/3. D. Kobialka, Regis University Cyberattack: What You Need to Know, 2019. Retrieved from: https://www.msspalert.com/cybersecurity-breaches-and-attacks/regis-university-cyberattack-what-you-need-to- know/4. Symantec, 10 cybersecurity facts and statistics for 2018, 2018. Retrieved from: https://us.norton.com/internetsecurity-emerging-threats-10-facts-about-todays-cybersecurity-landscape-that- you-should-know.html5. T. S. Chou, “Multi-Learning Techniques for Enhancing Student Engagement in Cyber Security Education,” American Society for Engineering Education (ASEE) Annual Conference and
representation and outcomes for eachgroup as they are not all the same. Similarly, we were unable to account for the non-binarynature of gender as the data we had access to had not yet been updated to allow gender identitiesother than male or female.AcknowledgementsThis work was partially supported by the AAU Undergraduate STEM Education Initiativefunded by the Northrop Grumman Foundation, and by funding provided by the Center forTeaching Excellence at the University of Kansas.References[1] F. A. Hrabowski, J. Suess, and J. Fritz, "Assessment and analytics in institutional transformation," Educause Review, vol. 46, no. 5, pp. 14-16, 2011.[2] S. Olson and D. G. Riordan, "Engage to Excel: Producing One Million Additional College
,benevolence) with varying degrees of importance.”His value system consists of basic values which all people hold, but in varying rank or orderaccording to personal relevance, importance and priority. This “tradeoff amongst the relevantvalues” [75, p.12] within the value system of a person, is what classifies which category(named Higher Order Value) of the human value system this person resides in, and thereforehow this person’s motivation and decision-making processes are driven.All values and Higher Order Values of the Schwartz Personal value system map ontoSchwartz et al.’s Circular motivational continuum [76, p.7], shown in Figure 3, for clearerrepresentative indications of the Higher Order Values and their underlying basic values
derived by the analytics software.Figure 1 displays all initial variables with first-generation college students as the root node. Theclassification tree splits the observations into binary categories based on the variable values ineach observation. In figure 1’s case, the binary classification is persistence in engineering [Yes]and non-persistence [No]. For categorical variables, the split is which variable value existswithin a particular observation. For continuous variables, the algorithm applies a regressionanalysis that determines the splitting point at a mathematically logical point. This model providesthe advantage of adaptive ability and will self-adjust with new data. The darker color implies agreat proportion of persistence. Next to the
, "Systems biology: A brief overview," Science (80-. )., vol. 295, no. 5560, pp. 1662–1664, 2002, doi: 10.1126/science.1069492.[5] M. El Karoui, M. Hoyos-Flight, and L. Fletcher, "Future trends in synthetic biology—A report," Front. Bioeng. Biotechnol., vol. 7, no. AUG, pp. 1–8, Aug. 2019, doi: 10.3389/fbioe.2019.00175.[6] Royal Academy of Engineering, "Engineering biology a priority for growth," London, England, 2019.[7] C. R. Rehmann, D. T. Rover, M. Laingen, S. K. Mickelson, and T. J. Brumm, "Introducing systems thinking to the engineer of 2020," in Proceedings of the 2010 American Society for Engineering Annual Conference & Exposition, 2011.[8] C. Dym, A. Agogino, and O. Eris, "Engineering
Software Engineering Program at West Virginia University. She has served on program and organizing committees of many international conferences and workshops.Dr. Robin A.M. Hensel, West Virginia University Robin A. M. Hensel, Ed.D., is the Assistant Dean for Freshman Experience in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University. While her doctorate is in Curriculum and Instruction, focusing on higher education teaching of STEM fields, she also holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineering teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S