Paper ID #33204Chemical Engineers’ Experiences of Ethics in the Health Products IndustryMs. Dayoung Kim, Purdue University at West Lafayette Dayoung Kim is a Ph.D. Candidate in Engineering Education at Purdue University. Her current research interest centers on engineering ethics and social responsibility, and she is specifically interested in cul- tural influences on engineers’ moral formation. She earned her B.S. in Chemical Engineering at Yonsei University (Seoul, South Korea) in 2017 and M.S. in Chemical Engineering at Purdue University (West Lafayette, USA) in 2021.Dr. Alison J. Kerr, University of Illinois Urbana
curriculum for K-12 students and educators. All programs aim to increase thequality, quantity, and diversity of tomorrow’s engineers by leveraging collaboration of academia,industry, and the community. Three marquee programs include Visioneering, the InfinityProject, and the Gender Parity Initiative. Visioneering, a one-day event for middle schoolstudents, introduces engineering in a high-energy, high-tech environment. The Infinity Project isa year-long engineering curriculum for high school students that provides schools with acomplete turnkey solution. The Gender Parity Initiative seeks to reach gender parity in theundergraduate engineering population through institutional transformation. Filling the shortageof tomorrow’s engineers requires a
assumptions. Quantifying theimpact of their assumptions through analysis of uncertainty will accompany the validation oftheir simulations.Based on the literature reviewed, the current treatment of uncertainty in numerical modelingfollows the general form of the quantification of uncertainty in physical modeling. Therefore, thelesson content on quantification of uncertainty reviews what is commonly covered whendiscussing physical experiments, and demonstrates how that can be extended into the numericalmodeling realm. Both Type A and Type B evaluations of uncertainty are covered. Incorporatedthroughout the educational tools presented in this paper is a vocabulary necessary to discusscomputer-based numerical simulations.IntroductionEngineers are
, vol. 60, no. 1, pp. 20–37, 2009.[4] E. A. van Es and M. G. Sherin, “The influence of video clubs on teachers’ thinking and practice,” Journal of Mathematics Teacher Education, vol. 13, no. 2, pp. 155–176, 2010.[5] D. Levin, D. Hammer, A. Elby, and J. Coffey, Becoming a Responsive Science Teacher:Focusing on Student Thinking in Secondary Science. Arlington, VA.: National Science Teachers Association:, 2013.[6] J. Watkins et al., “Data-based conjectures for supporting responsive teaching in engineering design with elementary teachers,” Science Education, vol. 102, no. 3, pp. 548–570, 2018.[7] K. B. Wendell, “The video case diagnosis task: Assessing pre-service teachers’ knowledge of engineering
Paper ID #33187An Analysis of Gendered Outreach Messages on the Engineer Girl Website:How Female Engineers Promote Engineering to Young WomenDr. Emily Gwen Blosser, University of Louisiana at Lafayette Dr. Emily Blosser is an Assistant Professor of Sociology at the University of Louisiana at Lafayette. She has a Bachelor of Arts in German from the University of Texas and a Master of Public Affairs from the LBJ School of Public Affairs and a Master of Arts in Russian, East European, and Eurasian Studies from the University of Texas at Austin. She holds a Ph.D. in Sociology from Louisiana State University. She is interested
social sciences. Teachers college press, 2006.[16] M. B. Miles and A. M. Huberman, "Qualitative data analysis: A sourcebook of new methods," in Qualitative data analysis: a sourcebook of new methods, 1984, pp. 263-263.[17] D. Tjosvold, "Cooperative and competitive interdependence: Collaboration between departments to serve customers," Group & Organization Studies, vol. 13, no. 3, pp. 274- 289, 1988.[18] N. P. Gaunkar and M. Mina, "Developing Self-awareness in Learning Practices: Designing and Implement-ing a Survival Tool for Freshmen in Engineering," in 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018, June, 2018.[19] P. Häkkinen, S. Järvelä, K. Mäkitalo-Siegl, A. Ahonen, P
Paper ID #33112Uncovering Strategies to Improve Student Engagement and Enhance theEngineering Education CurriculumDr. Ekundayo Shittu, George Washington University Ekundayo (Dayo) Shittu is an Associate Professor of Engineering Management and Systems Engineering at George Washington University. Professor Shittu conducts basic and applied research that take a systems approach to address the different dimensions of decision making under multiple and sequential uncertain- ties. His focus is on the economics and management of energy technologies, the design and impacts of climate change response policies, sustainability
computing includes a number of steps for job seekers (synthesized from[11, 13, 28, 29, 31, 40]), as shown in Figure 2. Broadly, it entails interview preparation, aninterview process, and interview feedback and decisions. However, interview preparation beginsmonths or even years before the interview for the job seeker, and requires steps such as studyingdata structures, practicing programming, completing projects outside of schoolwork, or creating adigital portfolio (A). After completing an application (B), the applicant will then hear back fromthe employer/industry (C), and will likely be scheduled for an in situ evaluation (D). This typicallyinvolves completing a programming project, or a phone or video call interview, which may alsoinclude a
/essential-learning-outcomes, retrieved 19 December 2019.[3] H. P. Sjursen, “The new alliance between engineering and humanities educators,” Glob. J. Engng. Educ, vol. 11, no. 2, pp. 135—139, 2015.[4] B. Al-Sheeb, M. Abdulwahed, and A. Hamouda, “Impact of first-year seminar on student engagement, awareness, and general attitudes toward higher education,” Journal of Applied Research in Higher Education, vol 10 (1) pp. 15-30, 2017.[5] D. Budny, “Integrating the freshman Seminar and Freshman Problem Solving Courses,” proceedings of the 31st Frontiers in Education Conference, October 10-13, 2001, Reno NV, 2001.[6] National Academy of Engineering, “Understanding the Educational Careers and Pathways of Engineers,” National
, the graduation rate will increase.From our formative evaluations, ASSETS has been successful. The scholarship helped thestudents afford college and relieve a major stress of attending university. After the bootcamp,the students had a group of friends and mentors to advise them on academic and careerdecisions, help them navigate SBU, and support them during the challenges.So far 15 ASSETS students have graduated from SBU. Five of these students graduated withhigh honors, four entered Master’s or PhD programs, and another student was awarded aFulbright Fellowship.Future WorkWith scholarships of up to $10,000 per student per year, it may be cost prohibitive forcolleges and universities to: (a) develop a scholarship program like this one, and (b
March 2020.[9] Preparing Leaders of Character in Service to Our Country, https://www.usafa.edu/character/, accessed 12 March 2020.[10] L. Rainie, S. Keeter, and A. Perrin, “Trust and Distrust in America,” 22 July 2019, retrieved from: https://www.pewresearch.org/politics/wp- content/uploads/sites/4/2019/07/PEW-RESEARCH-CENTER_TRUST-DISTRUST-IN- AMERICA-REPORT_2019-07-22-1.pdf, accessed 5 March 2021.[11] M. Kendall, D. Chachra, K. Roach, E. Tilley, and K. G. Gipson, “Convergent Approaches for Developing Engineering Leadership in Undergraduates,” Proceedings of the American Society of Engineering Education Annual Conference & Exposition, Salt Lake City, June 24-27, 2018.[12] B. Avolio, et. al
oftentimes unintended, assumptions, lessons, values, beliefs, attitudes, andperspectives not openly acknowledged in an environment” [2, p. 1] HC is messaged as positiveor negative, but negative HC could result in undesired costs, such as attrition [2]-[3]. Previous researchers [4]–[7] have identified four predominant factors, (a) awareness, (b)emotions, (c) self-efficacy, and (d) self- advocacy, for how individuals recognize, react to, andrespond to situational HC. However, there is limited previous research about what strategieswomen use to cope with situational HC, principally in engineering environments. Thus, in thisstudy, we report on strategies that women engineers, including women engineers withintersectional identities, used to
environment for the students.Once course development is completed, the ID will conduct a comprehensive syllabus andcourse review. Two rubrics (Appendix B and C) are used to support this endeavor. After thereview process, the SME will make some improvements by adopting the recommendationsprovided in the review forms. Once the SME has implemented recommendations by the ID, theMEM Director conducts a course review and provides recommendations to the faculty member.The entire process starts approximately 6 to 8 months prior to first day of class and concludesapproximately 2 weeks prior to first day of class to allow the instructor ample time to implementall recommendations before publishing the course in Canvas.Lower attrition rates are expected when
terms of Learning Outcomes. ABET defines student outcomes asfollows: “Student outcomes describe what students are expected to know and be able to do by thetime of graduation. These relate to the knowledge, skills, and behaviors that students acquire asthey progress through the program.” The service learning program, as with any course within theengineering program, will have student learning outcomes and meeting these outcomes willprepare graduates to attain the program educational objectives.ABET has a list of student outcomes (a) through (k); they are listed below as defined by ABET:(a) an ability to apply knowledge of mathematics, science, and engineering(b) an ability to design and conduct experiments, as well as to analyze and interpret
part of an NSF STEM+C grant as a Postdoctoral Research Assistant through INSPIRE in the School of Engineering Education at Purdue University Her current research interests focus on early P-12 engineering education and identity development. American c Society for Engineering Education, 2021 Lessons Learned in an S-STEM program: How to Improve Recruitment and Cohort BuildingAbstract: In fall of 2018 the School of Engineering at Campbell University received an NSF S-STEM grant. This program funded by HI-B visas is meant to support U.S. citizens andpermanent residents in their pursuit of a STEM degree1. The solicitation requires that
them. Insome instances, the lack of engagement might be because students are not aware of the HIEP theycan participate in during their program. Acknowledgments This material is based upon work supported by the National Science Foundation underGrant No. 1927218. Any opinion, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.REFERENCES[1] Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.[2] French, B. F., Immekus, J. C., & Oakes, W. C. (2005). An Examination of Indicators of Engineering
), and do not necessarilyreflect those of the NSF. The authors acknowledge the support of the project team.ReferencesAdvancing Excellence in P-12 Engineering Education & American Society of EngineeringEducation (2020). A Framework for P-12 Engineering Learning: A defined and cohesiveeducational foundation for P-12 engineering. American Society of Engineering Education.https://doi.org/10.18260/1-100-1153-1.Bagiati, A., Yoon, S. Y., Evangelou, D., & Ngambeki, I. (2010). Engineering Curricula in EarlyEducation: Describing the Landscape of Open Resources. Early Childhood Research & Practice,12(2), 1-15.Carberry, A. R., Dalal, M., Nagda, M., & McCarthy, B. (2021). Expanding the STEM teacherpool: A history teacher’s experience teaching
program's long-term impact on students'likelihood of pursuing STEM careers. The following research questions guide this study: 1. Do students of RET teachers differ in high school graduation rates? a. Are differences consistent across gender? b. Are differences consistent across race/ethnicity? 2. Do students of RET teachers differ in undergraduate STEM major rates? a. Are differences consistent across gender? b. Are differences consistent across race/ethnicity? 3MethodsRET ParticipantsWe collected student data from primary and secondary teachers who participated in theNanotechnology Rice University RET program
professor 21% 19% 21% 6% 15% 2% 6%*Missing dataResultsThe analysis of the quantitative and qualitative data is presented in three categories based on the researchquestions listed in the previous section: (a) perspectives on active learning, (b) knowledge and use ofactive learning, and (c) frequency of active learning implementation.Perspectives on Active LearningUnderstanding faculty members’ beliefs and perspectives on active learning would help explain thereasons behind their use or rejection of active learning. Four items in the survey specifically asked facultymembers’ perspectives on the contribution of active learning to student learning (Figure 1). A
Structure from the point of view of a materials sci- 11 ,entist. Modules were available for all lectures, except that ofProfessor Worzala. Students were advised to read the modules in prep-aration for each week s lecture. Approximately 20 minutes were avail- 1able for questions after the tape playing. Generally, a member of theFPL staff familiar with the topic was available for answering questions. B. Demonstrations and Laboratories Meeting at the FPL, the class was able to participate in anumber of unique demonstrations, as indicated on the syllabus. Thedemonstrations include a variety of sophisticated equipment used tostudy wood structure, including the
Paper ID #34488Embracing Diversity, Equity, and Inclusion in Our Classroom and TeachingDr. Jena Shafai Asgarpoor, University of Nebraska, Lincoln Jena Asgarpoor has been on the faculty at the University of Nebraska – Lincoln since August 2017. She is a Professor of Practice and the Director for the Master of Engineering Management Program in the College of Engineering. Dr. Asgarpoor received her Ph. D. and M.S. in Industrial Engineering, specializing in Engineering Management, from Texas A&M University in College Station, where she had previously earned a B.A. in Political Science (Summa Cum Laude). Prior to UNL, she
focused our analysis onunderstanding four mechanisms that influence equitable outcomes— a) allocating financialpriorities toward equity, b) setting inclusive incentive and reward structures, c) implementingequity-oriented policies and programs, and d) supporting diverse human resourcesAllocating financial priorities toward equity. MSIs in general and HSIs in particular operate onless funding, on average, than other higher education institutions (NASEM, 2019; Núñez et al.,2015). In a department context, funding priorities can be a mechanism for promoting equitablestudent outcomes. Research indicates that a lack of financial resources slows organizationalchange in higher education (Osei-Kofi et al, 2010). Hispanic students more likely than others
graduate students (3.3%). The overall participants’ age range and genderdistribution is given by frequency (Figure 2a) and percentage (Figure 2b). The percentages ofparticipants by gender and age range were comparable. (a) (b)Figure 2 Overall participant distribution by age and gender: (a) frequency and (b) percentage (N = 179).The ethnicity distribution was as follows: 3 African American (1.6%), 46 Asian (25.0%), 91Caucasian/White (49.5%), 9 Hispanic/Latino (4.9%), 31 Other (16.8%) and 4 Multiple (2.2%).In the Other category, students reported (24) Middle Eastern, (4) African, (1) East Indian, and (2)Native American. Figure 3 shows the ethnicity distribution by
Researcher Development, 2009. [4] A. K. Scaffidi and J. E. Berman, “A positive postdoctoral experience is related to quality supervision and career mentoring, collaborations, networking and a nurturing research environment,” High. Educ, vol. 62, no. 6, p. 685–698, 2011. [5] J. M. Faupel–Badger, K. Raue, D. E. Nelson, and S. Tsakraklides, “Alumni perspectives on career preparation during a postdoctoral training program: A qualitative study,” CBE—Life Sciences Education, vol. 14, no. 1, p. ar1, 2015. [6] C. Hess, B. Gault, and Y. Yi, “Accelerating change for women faculty of color in stem: Policy, action, and collaboration.” Institute for Women’s Policy Research, 2013. [7] “Survey of graduate students and postdoctorates in science
Google forms (S20) or Moodle (F20) based on his QM and RISEtraining. These digital records gave the instructor insight into whether the ethical content of aparticular lecture needed to be tweaked and it also provided the quantifiable data that is analyzedhere. The students were told that there were no right or wrong answers to these ethical dilemmas.Two pre-/ post- vignette viewpoints were a) not as much subject to prior exposure to the topicand b) might cause a significant swing in an expressed ethical viewpoint. These were the coch-lear implant debate re children who were deaf and Quality of Life issues of individuals with asevere non-verbal form of cerebral palsy.With cursory thought and after the engineering and neuroscience behind cochlear
on Human Factors in Computing Systems, 2011, vol. 66, pp. 2425–2428. doi: 10.1145/1979742.1979575.[11] D. Rothman, “A Tsunami of Learners Called Generation Z.,” 2016. http://docplayer.net/15163141-A-tsunami-of-learners-called-generation-z-by-darla-rothman- ph-d.html[12] L. Sun, “Enhancing Learning of Engineering Graphics Through Gamification,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Mar. 08, 2021. [Online]. Available: https://peer.asee.org/enhancing-learning-of-engineering- graphics-through-gamification[13] B. McCoy, “Digital Distractions in the Classroom: Student Classroom Use of Digital Devices for Non-Class Related Purposes,” 2013, Accessed: Mar. 06, 2021. [Online
. 321-341, 1980.[4] K. Spencer. and L. Schmelkin, "Student Perspectives on teaching and its evaluation," Assessment and Evaluation in Higher Education, vol. 27, pp. 397-409, 2002.[5] R. Clark, "Small Group Instructional Diagnosis: Final Report," ERIC Documentation Reproduction Services, Accessed on January 21, 2020., 1982.[6] B. Kyger, "Using a Class Interview as a Formative Evaluation Technique," Journal of Staff, Program and Organization Development, vol. 11, no. 4, pp. 97-99, 1984.[7] B. Black, "Using the SGID Method for a Variety of Purposes," in To Improve the Academy: Resources for Faculty, Instructional, and Organizational Development, Stillwater, OK: New Forum Press, 1998.[8] N. Diamond, "SGID (Small Group
Paper ID #32203What’s Next? From Analysis to ActionDr. Agnieszka Miguel, Seattle University Agnieszka Miguel received her Ph.D. in Electrical Engineering in 2001 from the University of Washing- ton, and MSEE and BSEE from Florida Atlantic University in 1996 and 1994. Dr. Miguel’s professional interests involve image processing, machine learning, and engineering education especially active learn- ing, diversity, equity, and inclusion, retention, and recruitment. Her teaching interests include MATLAB, circuits, linear systems, and digital image processing. She is an ASEE Fellow and a member of the IEEE, SWE, and Tau
-technology nexus: ALTC priority project #627 ," Australian Learning &Teaching Council, Australia, 2008.[14] Steelcase Education, "Active learning center: Grant proposal guide," Steelcase Education,2015.[15] L. B. Nilson, Teaching at its Best: A Research-Based Resource for College Educators. ThirdEdition. San Francisco, CA: Jossey-Bass, 2010.[16] C. Guarino and B. Stacy, "Review of gathering feedback for teaching: Combining high-quality observations with student surveys and achievement gains," National Educational PolicyCenter, Boulder, CO, 2012.[17] A. H. Cash et al, "Rater calibration when observational assessment occurs at large scale:Degree of calibration and characteristics of raters associated with calibration," Early ChildhoodResearch
become the engineers that expand theboundary of human knowledge. They look beyond the equations.Bibliography[1] P. Wankat and F. Oreovicz, Teaching Engineering, New York: McGraw-Hill, 1993.[2] R. E. Park, "A Memorandum on Rote Learning," American Journal of Sociology, vol. 42, no. 1, pp. 23-26, 1937.[3] B. N. Geisinger and D. R. Raman, "Why They Leave: Understanding Student Attrition from Engineering Majors," International Journal of Engineering Education, vol. 29, no. 4, pp. 914-925, 2013.[4] W. Zimmerman and S. Cunningham, "Editor's Introduction: What is Mathematical Visualization," Visualization in Teaching and Learning Mathematics, MAA, pp. 1-7, 1991.[5] F. Beer, E. R. J. Johnston, D. Mazurek, P. J. Cornwell and B. P. Self