reviewing and correctingstudent work is that we see students as more likely to do their homework correct the first time ifthey will be asked to make corrections and resubmit. A mostly correct submittal is quicker toreview than one fraught with errors and omissions. The student desire to do less work works tofaculty advantage here, in superior initial submissions. This held true at both mid-term and finalacross the semester(s).The process has not been without its struggles. After several years and multiple courses,consistent issues have emerged. Key among these issues is uniform and class-wide homeworksubmittals in a timely manner, and then in getting the homework revisions in in a timely manner.Initial iterations of the ungraded approach had no
. Zhang. "On Time-based Exploration of LMS Data andPrediction of Student Performance", 2022 ASEE Annual Conference & Exposition,Minneapolis, MN, 2022, August. ASEE Conferences, 2022.[2] R. Conijn, C. Snijders, A. Kleingeld and U. Matzat, "Predicting Student Performance fromLMS Data: A Comparison of 17 Blended Courses Using Moodle LMS," IEEE Transactions onLearning Technologies, vol. 10, no. 01, pp. 17-29, 2017.[3] D. Gašević, S. Dawson, T. Rogers and D. Gasevic, "Learning analytics should not promoteone size fits all: The effects of instructional conditions in predicting academic success," TheInternet and Higher Education, vol. 28, pp. 68-84, 2016.[4] M. Riestra-Gonza ́lez, M. d. P. Paule-Ruíz and F. Ortin, "Massive LMS log data analysis
Distribution Center and as an Operation Manager. She holds a Ph.D. degree in Engineering Management from the Stevens Institute of Technology and a master´s degree in Quality Systems and Productivity from Tecnologico de Monterrey. ˜ Tecnologico de MonterreyJonathan Cuevas-Ortuno, Jonathan Cuevas-Ortu˜no is a full-time professor of the Department of Industrial Engineering at Tec- nol´ogico de Monterrey. He holds a Ph.D degree in Industrial and Manufacturing Engineering from CIATEC (CONACYT Public Research Center) and a master´s degree in Quality Systems and Produc- tivity from Tecnol´ogico de Monterrey. Also, he is Industrial and Systems Engineering from Tecnol´ogico de Monterrey. Since August 2003, he has
). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press. https://doi.org/10.17226/13165[3] Purzer, S., & Quintana-Cifuentes, J. P. (2019). Integrating engineering in K-12 science education: Spelling out the pedagogical, epistemological, and methodological arguments. Disciplinary and Interdisciplinary Science Education Research, 1(1), 1-12. https://doi.org/10.1186/s43031-019-0010-0[4] Stohlmann, M., Moore, T. J., & Roehrig, G. H. (2012). Considerations for teaching integrated STEM education. Journal of Pre-College Engineering Education Research (J-PEER), 2(1), Article 4. https://doi.org/10.5703/1288284314653[5] American Society for Engineering Education
professional networking intervention.References[1] O. Pierrakos, T. K. Beam, J. Constantz, A. Johri, and R. Anderson, “On the development of a professional identity: Engineering persisters vs engineering switchers,” in Proceedings - Frontiers in Education Conference, FIE, 2009. doi: 10.1109/FIE.2009.5350571.[2] R. W. Lent, S. D. Brown, and G. Hackett, “Social Cognitive Career Theory,” in Career Choice and Development, 2002. [Online]. Available: https://www.ebsco.com/terms-of-use[3] S. D. Brown and R. W. Lent, Career development and counseling: Putting theory and research to work. John Wiley & Sons, 2013.[4] S. P. Fagan, “A Phenomenological Exploration of Women’s Lived Experiences and Factors that Influence
Paper ID #37634Board 197: A Gamified Approach for Active Exploration to DiscoverSystematic Solutions for Fundamental Engineering ProblemsDr. Mohammad Ilbeigi, Stevens Institute of Technology Mohammad Ilbeigi is an Assistant Professor in the Department of Civil, Environmental, and Ocean Engi- neering (CEOE) at Stevens Institute of Technology.Dr. Diana Bairaktarova, Virginia Tech Dr. Diana Bairaktarova is an Assistant Professor in the Department of Engineering Education at Virginia Tech. Through real-world engineering applications, Dr. Bairaktarovaˆa C™s experiential learning research spans from engineering to psychology to
. Garcia, Becoming Hispanic-serving institutions: Opportunities for colleges and universities. Johns Hopkins University Press, 2019.[4] J. Ives and M. Castillo-Montoya, “First-Generation College Students as Academic Learners: A Systematic Review,” Rev. Educ. Res., vol. 90, no. 2, pp. 139–178, 2020, doi: 10.3102/0034654319899707.[5] D. E. Blackwell, D. Patrice, and J. Pinder, “What Are the Motivational Factors of First- Generation Minority College Students Who Overcome Their Family Histories To Pursue Higher Education?,” Coll. Stud. J., vol. 48, no. 1, pp. 45–56, 2014.[6] M. Próspero and S. Vohra-Gupta, “First generation college students: Motivation, integration, and academic achievement,” Community Coll. J. Res
ScienceFoundation (NSF: #1953733).References1. Zhang, S., Specking, E., Alimohammadi, M., Boykin, A., Bell, S., Schubert, K., Davis, S. “Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education.” In Proceedings of the 2021 ASEE Midwest Conference.
. References[1] H. Wilkinson and A. Minichiello, “U.S. Military Students in Civilian Undergraduate Engineering Programs: A Narrative Review of the Student Veteran and Servicemember Literature,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: Feb. 13, 2023. [Online]. Available: https://peer.asee.org/u-s-military-students-in- civilian-undergraduate-engineering-programs-a-narrative-review-of-the-student-veteran- and-servicemember-literature[2] B. J. Novoselich, J. L. Hall, K. A. Landry, J. B. Main, and A. W. Dean, “Supporting Veteran Students Along Engineering Pathways: Faculty, Student, and Researcher Perspectives,” presented at the 2017 ASEE Annual Conference and Exposition, Columbus
engineeringexperience, career promotive attitudes, and normed help-seeking patterns were major themes thatimpacted student success. Our findings suggest implications for engineering recruitment andretention strategies that promote family support for students. Academic support services forengineering students, namely, mental health support and career services may benefit fromassessing the systemic impacts of horizontal and vertical stressors on student academic andcareer decisions.8. AcknowledgmentThis project was supported through NSF Grant #2225381 and made possible through thecontributions of willing participants.References[1] S. A. Atwood and J. E. Pretz, “Creativity as a factor in persistence and academic achievement of engineering undergraduates
support from Schweitzer Engineering Laboratories.References [1] D. U. Case, “Analysis of the cyber attack on the ukrainian power grid,” Electricity Information Sharing and Analysis Center (E-ISAC), vol. 388, pp. 1–29, 2016. [2] N. M. Flores, H. McBrien, V. Do, M. V. Kiang, J. Schlegelmilch, and J. A. Casey, “The 2021 texas power crisis: distribution, duration, and disparities,” Journal of Exposure Science & Environmental Epidemiology, pp. 1–11, 2022. [3] A. M. Miller, “NC power station shootings show major vulnerability of u.s. power grid that requires action: Experts,” Dec 2022. [Online]. Available: https://www.foxnews.com/us/ nc-power-station-shootings-show-major-vulnerability-u-s-power-grid-that-requires-action-experts
and undergraduates. Webrainstorm how engineering educators can build deeper understanding of these organizationalprocesses into everyday classes and programs. We consider the need for more research onworkplace practices that frame and stratify early-career engineers’ experiences, and moretranslation of those findings to day-to-day “toolkits” for new engineers.1. IntroductionEngineering students, especially those without internship, co-op, or industry job experience buteven those with that experience, may have limited knowledge about workplace procedureinvolving management, reporting, and advancement. Brunhaver et al.’s [1] findings suggest thatfew recent engineering graduates report having knowledge of organizational practices at thepoint of
and by Spanish- and English-language preferences. Table 1shows the family composition and languages spoken by the ten families in each of the threerounds.Table 1Family Composition and Language Preferences for Each Round Family ID Language(s) Spoken Family Composition 1 Spanish and English Adult and child 5 Spanish and English Adult and three children 6 Spanish* Adult and three children** 7 Spanish and English Adult and two children 10 English Adult and child 11 English Adult and child 13 English
, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.REFERENCES[1] T. L. Cross, B. J. Bazron, K. W. Dennis, and M. R. Isaacs, “Towards a Culturally Competent System of Care: A Monograph on Effective Services for Minority Children Who Are Severely Emotionally Disturbed | Office of Justice Programs.”[2] A. N. Washington, “When Twice as Good Isn’t Enough: The Case for Cultural Competence in Computing,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, in SIGCSE ’20. New York, NY, USA: Association for Computing Machinery, Feb. 2020, pp. 213–219. doi: 10.1145/3328778.3366792.[3] “CRA Taulbee
well asteamwork. Table 2 provides a description of the components of Module 7 as well as a list ofpossible points that may be earned by a student completing the optional components of themodule. Because CArE 5619 uses a “straight scale” without a curve, and because “required”assignments resulted in a minimum grade of “70 points = C”, students were made aware that thesuccessful completion of all optional assignments included in Module 7 would raise a student’sgrade from a “C” to a “B” (i.e., 70+10 pts).Details of the “story board” / “poster” communication exercise, including a grading rubric, areprovided in Appendix D.Table 2. Details of design work associated with Module 7) Fully understanding the problem Possible Details of assignment(s
the loading area, take them to a specific workstation, and go back to the loading area. For your reference, the company provides the layout of one of its warehouses. Each trip must take the minimum time and always be safe for both robots and workers. In case of a collision with a wall, the AGV breaks when it has a momentum of 220 kg*m/s or more
) further narrowing the list down to a “short list” for an on-site, in-personinterview, 5) deciding which candidate(s) will receive an offer, and 6) negotiation. In somecases, steps three and four are skipped, and only one round of interviews is completed. The faculty hiring process is fraught with bias, including racial bias [1], gender bias inletters of recommendation [2], and search committee members seeking to hire people whoseresearch areas are most similar to their own [3]. Hiring people similar to oneself extends beyondresearch areas. Many search committees look for candidates who would be a good “fit”(generally, scientifically, programmatically) [4, 5]. However, “fit” is highly subjective and opento the evaluator’s personal biases
necessarily reflect the views of the NSF.References 1. SE. Zappe, SL. Cutler, & L. Gase. 2023. A Systematic Review of the Impacts of Entrepreneurial Support Programs in Science, Technology, Engineering, and Math Fields. Entrepreneurship Education and Pedagogy, 6(1), 3–31. https://doi.org/10.1177/25151274211040422 2. F. Hasson, S. Keeney, and H. McKenna. 2000. Research guidelines for the Delphi survey. Journal of Advance Nursing, vol. 32, pp. 1008-1015. 3. F. Hasson, and S. Keeney, “Enhancing rigour in the Delphi technique research,” 2011, Technological Forecasting & Social Change, vol. 78, pp. 1695-1704. 4. P. Wainwright, A. Gallagher, H. Tompsett, & C. Atkins. 2010. The use of vignettes within a
engineering computer applications. Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/413492 Moore, J. P., & Ranalli, J. (2015, June), A Mastery Learning Approach to Engineering Homework Assignments. Proceedings of the 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.234053 R. Averill, S. Roccabianca, and G. Recktenwald, A Multi-Instructor Study of Assessment Techniques in Engineering Mechanics Courses. Proceedings of the 2019 ASEE Annual Conference & Exposition, Jun. 2019. https://peer.asee.org/a-multi-instructor-study-of-assessment-techniques-in-engineering-mechanics- courses4 Sangelkar, S., & Ashour, O. M., &
develop a better understanding of the technical content, societal andeconomic impact of the proposed solution, while supporting the students’ preparedness andreadiness for the workforce.IntroductionThere are numerous recent scholarly works examined the way in which the Kern EntrepreneurialEngineering Network (KEEN)’s mindset is enhancing the students’ engagement and skills invarious engineering courses, like Material Science [1], or Mechanical Design or StructuralAnalysis [2, 3, 4], or Fluid Mechanics [5, 6, 7, 8] or across engineering curriculum [9, 10, 11, 12,13].In all instances, the authors found that the inclusion of an entrepreneurship education, aspromoted by KEEN, and further support the engineering students’ readiness for the
-scored-higher-on-a-medical-quiz-than-a-real-human-doctor (accessed Jun. 02, 2023).[3] D. C. Weiss, “Latest version of ChatGPT aces bar exam with score nearing 90th percentile,”ABA Journal, Mar. 16, 2023. https://www.abajournal.com/web/article/latest-version-of-chatgpt-aces-the-bar-exam-with-score-in-90th-percentile[4] J. Narayan, K. Hu, M. Coulter, and S. Mukherjee, “Elon Musk and others urge AI pause,citing ‘risks to society,’” Reuters, Mar. 29, 2023. Available:https://www.reuters.com/technology/musk-experts-urge-pause-training-ai-systems-that-can-outperform-gpt-4-2023-03-29/[5] F. Candelon, R. C. di Carlo, M. D. Bondt, and T. Evgeniou, “AI Regulation Is Coming,”Harvard Business Review, Sep. 01, 2021. https://hbr.org/2021/09/ai-regulation-is
Perspectives,” J. Eng. Educ., vol. 106, no. 3, pp. 398–430, 2017, doi: 10.1002/jee.20170.[5] C. J. Atman, J. R. Chimka, K. M. Bursic, and H. L. Nachtmann, “A comparison of freshman and senior engineering design processes,” Des. Stud., vol. 20, no. 2, pp. 131–152, Mar. 1999, doi: 10.1016/S0142-694X(98)00031-3.[6] S. R. Daly, R. S. Adams, and G. M. Bodner, “What Does it Mean to Design? A Qualitative Investigation of Design Professionals’ Experiences,” J. Eng. Educ., vol. 101, no. 2, pp. 187–219, 2012, doi: 10.1002/j.2168-9830.2012.tb00048.x.[7] J. S. Gero, “Fixation and Commitment While Designing and its Measurement,” J. Creat. Behav., vol. 45, no. 2, pp. 108–115, 2011, doi: 10.1002/j.2162-6057.2011.tb01090.x.[8] V. L. Vignoles
National Science Foundationunder Grant No. 1943811. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] Josiam, M., Lee, W., Johnson, T., Pee, C., & Hall, J. (2022, August). Beyond Selecting aMethodology: Discussing Research Quality, Ethical, and Equity Considerations in QualitativeEngineering Education Research. In 2022 ASEE Annual Conference & Exposition.[2] D. M. Cable and J. R. Edwards, “Complementary and supplementary fit: A theoretical andempirical integration.,” Journal of Applied Psychology, vol. 89, no. 5, pp. 822–834, 2004.[3] P. M. Muchinsky and C. J. Monahan, “What is person
to feel comfortable with both their peers and their TA tobe able to recover from a setback quickly. 1. Student experiences a setback (lab does not go as planned). 2. Student looks to a) lab partner(s) or peers, and/or b) TA, and/or c) class and lab materials to decide how to respond. 3. Student's ability to move past the setback depends on whether a) others experience the same setback, b) others normalize setbacks, and c) they know where to look to help them troubleshoot. These factors impact whether they can effectively manage their frustration in the moment.Figure 1. Student Response to Setbacks in Lab Settings FlowchartConclusion To summarize, students’ ability to recover from
focus groups to understand participants’lived experiences around identity-mediated interest changes and enrollment choices. Thelongitudinal element of this work allows us to evaluate when a new interest was identified andthe choice(s) participants made regarding pursuing that interest as these two elements often donot occur in the same semester. A singular data point would not fully capture the story ofchanging interests and choices, rather we utilize focus group data from participants’ first sixsemesters in an undergraduate engineering program. Data were analyzed using directed contentanalysis to support the exploration of the phenomenon while allowing for the integration of atheoretical framework including identity and interest. Matrix
Practices and Processes,” Hollylynne S. Lee etel. developed a framework using the work of statistics educators and researchers to investigatehow data science practices can inform work in K–12 education. Their framework buildsfundamental practices and processes from data science [19]. The math field has contributed to data science research via the Common Core StateStandards Initiative (CCSSI), which is a joint project to develop common K–12 reading andmath standards designed to prepare students for college and careers. The CCSSI includes a datascience section for elementary students that focuses on data collection, data type, function,analysis type, and sample [20]. Similarly, the Launch Years Data Science Course Frameworkprovides broad
the career development of women. Journal of Vocational Behavior, 18(3), 326–339. https://doi.org/10.1016/0001- 8791(81)90019-1 [4] Hurst, M. A., Polinsky, N., Haden, C. A., Levine, S. C., & Uttal, D. H. (2019). Leveraging research on informal learning to inform policy on promoting early stem. Social Policy Report, 32(3), 1–33. https://doi.org/10.1002/sop2.5 [5] Removed for Double Blind Review [6] Lester, S., & Ruth, K. D. (2022, August). ’ook Who's Talking: Exploring the DEI STEM Librarianship Conversation. In 2022 ASEE Annual Conference & Exposition. [7] Roy, J. (n.d.). Engineering by Numbers - ira | ASEE. ASEE. Retrieved February 8, 2023, from https://ira.asee.org/wp-content/uploads/2019/07/2018