to examine H1 for each camp. This sectionprovides the results of the statistical analyses. It starts with the 2019 in-person camps and endswith the 2020 virtual camps.For S.H.E. camp, two tailed paired t-test results, shown in Table 9, show that the camp increased,on average, participants’ interest, understanding, and excitement for engineering. Q1 hadstatistically significant increases with the lowest mean level being moderate interest or higher.Q2 had statistically significant increases and indicated a good to very good level ofunderstanding. Q3’s results indicate participants were excited about engineering before and afterattending the camp. © American Society for Engineering Education, 2021
learning) [1], [8], [9], [10]. For the “Minute Paper” the instructor takes a few minutes atthe end of class for students to answer two questions, generally what they learned and whatquestion(s) remains unclear/unanswered. The instructor can review the comments and address themost common comments in the next class as well as quickly assess a student's learning andunderstanding [8]. Eliciting information from students on the topic that is most confusing, or the“muddiest point”, has been applied for years in many different classrooms including GeneralChemistry [8], [9], [10]. For example, King [10] used clicker questions in a large enrollmentGeneral Chemistry course to have students anonymously identify the “muddiest point” from aselection of topics
program participants were able to learn about sustainability initiatives including urban 3development and infrastructure, waste-to-energy plants, and public transportation systems.Table 1: Major activities, as related to application of technical or cultural topics, and yearsincluded in itinerary. All topics were within the context of environmental sustainability. Technical or Cultural Topic Activity Year(s) Governance and federal policy Swedish Parliament All Municipal governance Stockholm City Hall All Federal environmental policy Swedish Environmental Protection 2015, 2017
systems.acknowledgementThis work has been funded by the Global Laboratory for Energy Asset Management andManufacturing (GLEAMM) and Texas Instruments.references[1] A. Ramsetty and C. Adams, "Impact of the digital divide in the age of COVID-19," Journal of the American Medical Informatics Association, vol. 27, no. 7, pp. 1147-1148, 2020.[2] H. Greenhalgh-Spencer and M. Jerbi, "Technography and design–actuality gap-analysis of internet computer technologies-assisted education: Western expectations and global education," Policy Futures in Education, vol. 15, no. 3, pp. 275-294, 2017.[3] A. Banerjee, P. Glewwe, S. Powers, and M. Wasserman, Expanding access and increasing student learning in post-primary education in
by our survey instrument can bemeaningfully compared in two dramatically different learning contexts. More qualitative work isneeded to understand how students make sense of survey items that were originally developed andvalidated in a familiar, in-person context.References [1] A. Hartocollis, “‘An Eviction Notice’: Chaos After Colleges Tell Students to Stay Away,” The New York Times, Mar. 2020. [2] D. Lederman, “How Teaching Changed in the (Forced) Shift to Remote Learning,” INside Higher Ed, Apr. 2020. [3] N. Salari, A. Hosseinian-Far, R. Jalali, A. Vaisi-Raygani, S. Rasoulpoor, M. Mohammadi, S. Rasoulpoor, and B. Khaledi-Paveh, “Prevalence of stress, anxiety, depression among the general population during the COVID-19
interpolated the ideas of caring and respect for lives by focusing on a specificaspect of the course contents and its peaceful applications in civilian society, it was hard for thispopulation of students to develop a professional identity in the field of military science andtechnology. The Military Science and Technology (S&E) workforce was a double male-dominated sphere in terms of scarcity of women and its contradiction with women’s moraldevelopment where the ethics of caring and non-violence play a pivotal role.Hands-on Learning, Authentic Knowledge, and Varied Focus in Learning All students in this study recognized the value of hands-on lab experiences and havingmilitary veterans in the class—either the TAs or peer students—who made the
also utilizes data including thefollowing: concurrent math course the student is taking, which engineering course(s) they aretaking, and self-reported gender.The response rate over the last three years is commonly over 90%, with a minimum response rateof 83% over the last three years. Table 1. Survey Questions and Timing Start of Middle End of End of Question Fall of Fall Fall Spring How certain do you feel about engineering in Fall Fall general? (that
. Sheridan, “Closing the divide: Accelerating technology commercialization by catalyzing the university entrepreneurial ecosystem with I-Corps™,” The Journal of Technology Transfer, vol. 42(6), pp. 1466-1486, 2017.[3] Lagoudas, M. Z., Yoon, S. Y., and Bohem, R. (2019). The Implementation and assessment of an I-Corps site: Lessons learned. Proceedings of the 126th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Tampa, FL, USA.[4] Lagoudas, M. Z., Yoon, S. Y., Bohem, R., and Asbell, S. (2020). Impact of an I-Corps site program on engineering students at a large southwestern university: Year 3. Proceedings of the 127th American Society for Engineering Education (ASEE) Annual Virtual Conference
gains from the last 5-10 years may becompletely undone during this pandemic season. References[1] National Center for Education Statistics, “Digest 2017”,https://nces.ed.gov/programs/digest/d17/. (assessed October 12, 2019).[2] C. Poor and S. Brown, “Increasing retention in women in engineering at WSU: A model for awomen’s mentoring program”, College Student Journal, vol. 47, no. 3, pp. 421-428, September2013.[3] Catalyst, “Research Women in STEM”. https://www.catalyst.org/research/women-in-science-technology-engineering-and-mathematics-stem/, (assessed October 12, 2019).[4] F.M. Haemmerlie and R. Montgomery, “Gender differences in the academic performance andretention of undergraduate engineering
, thiswill help students become well-rounded and more appealing to potential employers aftergraduation.AcknowledgementsThe author gratefully acknowledges Engineering Unleashed Fellowship 2020 for its financialsupport of this project.References[1] Bekki, J. M., Huerta, M., London, J. S., Melton, D., Vigeant, M., & Williams, J. M. (2018).Opinion: Why EM? The Potential Benefits of Instilling an Entrepreneurial Mindset. Advances inEngineering Education, 7(1), n1.[2] Kouakou, K., Li, C., Akolgo, I. and Tchamekwen, A., 2019. Evolution View ofEntrepreneurial Mindset Theory. International Journal of Business and Social Science, 10(6).[3] Duval-Couetil, N., Shartrand, A., Reed, T. (2016). The Role of Entrepreneurship ProgramModels and
who score lower than 70%on the PSVT:R assessment.AcknowledgementsOne of the authors has equity interest in eGrove Education, Inc., a company that may potentiallybenefit from the research results. The terms of this arrangement have been reviewed andapproved by the University of California, San Diego in accordance with its conflict-of-interestpolicies.References 1. Sorby, S. A., & Baartmans, B. J. (1996). A Course for the Development of 3-D Spatial Visualization Skills. Engineering Design Graphics Journal, 60(1), 13-20. 2. S. A Sorby, (2009). “Educational research in developing 3D spatial skills for engineering students”. International Journal of Science Education, 31(3), 459-480. 3. S.A Sorby, (1999). Developing 3-D
dataonce it had all been obtained. As the students were working through the videos, the instructorwas able to join the breakout rooms to answer questions and provide guidance.With the data gathering complete, the students continued working in the breakout rooms toanalyze their values and results within Excel. The majority of the time, one person from eachgroup would use the Zoom share screen feature to present their excel spreadsheet so all memberscould work together on the data analysis. Once everyone was satisfied with the results, thespreadsheet and corresponding graph(s) were uploaded to the learning management system forinstructor review and grading.Kinematics and Dynamics lab – Virtual labThis lab begins with a general presentation covering
discussionboards at the same time.From Figure 4, there is an indication that students were somewhat satisfied with thetechnologies/platforms and methods used by instructors/TAs during the online session. Filteringthe data by type of methods and satisfaction indicates that students showed the greatestsatisfaction when live lecturing methods were supplemented by students being able to askquestions from the instructor during the session, at the end of the session, during office hours, orby email after the session. Method(s) used for interaction during the online session N/A 5 Participant Response
design: Two strategies linked to uncertainty resolution," Design Studies, 2009. https://doi.org/10.1016/j.destud.2008.12.005[2] Y. C. Chen, M. J. Benus, and J. Hernandez, "Managing uncertainty in scientific argumentation," Science Education, vol. 103, no.5, pp. 1235–1276, 2019. https://doi.org/10.1002/sce.21527[3] D. P. Crismond and R. S. Adams, "The informed design teaching and learning matrix," Journal of Engineering Education, vol. 101, no.4, pp. 738–797, 2012. https://doi.org/10.1002/j.2168-9830.2012.tb01127.x[4] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, "Engineering Design Thinking, Teaching, and Learning," Journal of Engineering Education, vol. 94, no. 1, pp. 103–120, January 2005
+ 0.2 * read_temp() # equation used for averaging temp data in degrees C29. MESSAGE = 'Temp in C: ' + str(round(avg, 1)) # string containing average temp rounded to 1 decimal30. lcd.write(MESSAGE) # displays string message to LCD31. lcd.write(line2)32. lcd.write('Sending...')33. time.sleep(1)34. lcd.write(line2)35. try: # transmits data to coordinator XBee36. xbee.transmit(COORD_ADDR, MESSAGE)37. lcd.write('Data delivered')38. time.sleep(1)39. except Exception as e: # displays error code if failure to send data40. lcd.write('Transmit failure: %s' % str(e))41. time.sleep(2) Figure 10(a) – Router Code for Remote Sensor Network 1. import xbee 2. print
and enacted pedagogies rooted in funds of knowledge in the context of a multi-yearprofessional development experience. The portraits of these engineering teachers illustratedifferent possible dimensions and challenges related to funds of knowledge pedagogies inengineering, which can be used as considerations for other engineering educators andprofessional development providers who seek for ways to ground their curricula and pedagogicalstrategies in Latinx youths’ funds of knowledge. Funds of Knowledge in EngineeringBased on his work with Latinx families on the US-Mexico border, Moll et al.’s original outlineof funds of knowledge included categories such as knowledge of equipment operation andmaintenance, market
that students canreview these while preparing their laboratory reports. Additionally, the Writing Discussionmodules will be developed into exercises that can be implemented into the course instructionaltime. Although the pandemic caused an upheaval in teaching and learning in 2020, the lessonsabout student learning should be retained for the future.AcknowledgmentsThe authors thank KLA Corporation for their support of student learning during the pandemic,particularly creating an introductory webinar targeting students and hosting remotedemonstrations of the equipment.References[1] S. Brown and K. Mangan. (May 28, 2020) What College Students Need Now. Chronicle of Higher Education. Available: https://www.chronicle.com/article/What
the 4Rs as an empirically understood heuristic [29]. Thelimits of this single example are many: as a single example case, it doesn’t clarify the many waysacademic reviewing processes do harm for scholars from different positionalities or illustrate themany strategies authors can use to recognize, reveal, reject, and replace the harm and inequitythey encounter. However, these additional strategies are illustrated in our findings and suggestthat the 4Rs and the margin of maneuverability comprise an applied theory useful for addressinginequities within and outside of the academy.[1] D. E. Chubin, G. S. May, and E. L. Babco, “Diversifying the Engineering Workforce,” J. Eng. Educ., vol. 94, no. 1, pp. 73–86, Jan. 2005.[2] J. C
Tennessee Board of Regents for supporting the summerprogram.References[1] Miao, L. and Li, C. “Engaging Minority and Underrepresented Engineering Students to Fight“Sophomore Slump” through a Summer Research and Enrichment Program (Research)”, 2021ASEE Annual Conference & Exposition, Virtual Conference, July 2021[2] Wood, B., and A. Ganago. "Using Arduino in Engineering Education: Motivating Students toGrow from a Hobbyist to a Professional." ASEE Annual Conference and Exposition, Salt LakeCity, Utah. 2018.[3] Hopkins, M. A., and Kibbe, A. M., 2014, "Open-source hardware in controls education,"ASEE Annual Conference, Indianapolis, IN.[4] Parker, J. M., and Canfield, S. L., 2013, "Work-in-progress: using hardware-basedprogramming experiences to
detection are standalone, but some can serve as tools within an LMS. A limitation ofthese tools is that they are specialized to a particular kind of question, and the exam may includequestions of several different types. A rubric-based tool can work with questions of differenttypes. It takes advantage of a grading rubric to identify students who “lose points” for the samereasons.Keywords: plagiarism, online exams, webcam monitoring, Integrity (software), CopyDetect, S-Check, Turnitin, Unicheck, Textreuse, Gradescope1. IntroductionAlmost overnight, the COVID-19 pandemic forced all classes online, and along with the classes,all exams. This meant that human proctoring was no longer possible, not for formerly face-to-face classes, nor for distance-ed
was 2694 (fall: 1835, spring859). The number of videos viewed per student after week 8 in spring 2020 (switch to online)showed a slight increase (3.7) relative to the fall 2019 views per student (3.5) after week 8. Thissuggests that the utility of the GenZ video titles can be suitable in a completely online course.The instructor(s) provided multiple pieces of feedback to support these data. Each topic wasdesigned to have theory video(s) coupled with at least one practice video as a complete set forstudents. Students were encouraged to watch the appropriate videos before class to promote in-class discussion (a very slight shift towards a more flipped classroom). Two of the Introductionto Computer Science topics were not covered in-class—only
experiences. Stereotypes foster a negative learningenvironment and engineering field; the goal is to eliminate these experiences among Latinxstudents in engineering. ReferencesC. A. Scherbaum, V. Blanshetyn, E. Marshall-Wolp, E. McCue, and R. Strauss, “Examining the effects of stereotype threat on test-taking behaviors,” Social Psychology of Education, vol. 14, no. 3, pp. 361–375, 2011.D. H. Schunk, “Self-efficacy and achievement behaviors,” Educational Psychology Review, vol. 1, no. 3, pp. 173–208, 1989.D. J. Kavanagh, “Stress, Appraisal and CopingS. Lazarus and S. Folkman, New York: Springer, 1984, pp. 444, $31.95.,” Behavioural and Cognitive Psychotherapy, vol. 14, no. 4, pp. 345
students.References [1] J. Feldman, Grading for equity: What it is, why it matters, and how it can transform schools and classrooms. Corwin Press, 2018. [2] ASEE, “Reaffirming commitment to diversity, equity, and inclusion,” 2020. [3] E. Lee, A. R. Carberry, H. A. Diefes-Dux, S. A. Atwood, and M. T. Siniawski, “Faculty perception before, during and after implementation of standards-based grading,” Australasian Journal of Engineering Education, vol. 23, no. 2, pp. 53–61, 2018. [4] J. Mendez, “Standards-based specifications grading in a hybrid course.” ASEE, 2018. [5] A. Carberry, M. Siniawski, S. A. Atwood, and H. A. Diefes-Dux, “Best practices for using standards-based grading in engineering courses,” in Proceedings of the ASEE Annual
thinking skills in the context of earth system education,” J. Res. Sci. Teach. Off. J. Natl. Assoc. Res. Sci. Teach., vol. 42, no. 5, pp. 518–560, 2005.[5] B. Cameron, E. Crawley, and D. Selva, Systems Architecture. Strategy and product development for complex systems. Pearson Education, 2016.[6] P. Checkland, Systems Thinking, Systems Practice. New York, New York, USA: John Wiley & Sons, 1981.[7] P. Checkland, “Soft systems methodology: a thirty year retrospective,” Syst. Res. Behav. Sci., vol. 17, no. S1, pp. S11–S58, 2000.[8] K. Y. Hiller Connell, S. M. Remington, and C. M. Armstrong, “Assessing systems thinking skills in two undergraduate sustainability courses: a comparison of teaching strategies,” J
of Scientific Writing, 4th ed. (New York: Springer, 2018).4. S. Sheffield, R. Fowler, L. K. Alford, and K. Snyder, “Implementing a Single Holistic Rubric to Address Both Communication and Technical Criteria in a First Year Design-Build-Test-Communicate Class,” 2017 ASEE Annual Conference & Exposition (Columbus, Ohio: ASEE, June 2017), https://peer.asee.org/28479.5. K. M. Kecskemety, A. H. Theiss, and R. L. Kajfez, “Enhancing TA Grading of Technical Writing: A Look Back to Better Understand the Future,” 2015 ASEE Annual Conference & Exposition (Seattle: ASEE, June 2015), 10.18260/p.24005.6. Cheryl Glenn, Director of First-Year Composition, Pennsylvania State University, interview (13 November 2018).7. S. A
Laboratories Duringthe COVID-19 Pandemic’, J. Chem. Educ., vol. 97, no. 7, pp. 1887–1894, Jul. 2020, doi:10.1021/acs.jchemed.0c00483. Accessed: March 8, 2021. [Online]. Available :https://pubs.acs.org/doi/10.1021/acs.jchemed.0c00483.[4] M. Fenichel, “The Integral Role of Laboratory Investigations in Science Instruction”,National Science Teachers Association, 2007. Accessed: March 8, 2021. [Online]. Available:https://www.nsta.org/nstas-official-positions/integral-role-laboratory-investigations-science-instruction.[5] M. V. Mawn, P. Carrico, K. Charuk, K. S. Stote, and B. Lawrence, ‘Hands‐on and online:scientific explorations through distance learning’, Open Learning: The Journal of Open,Distance and e-Learning, vol. 26, no. 2, pp. 135–146, Jun. 2011
Paper ID #32344An International Study of Foucault’s PendulumMr. Ezequiel Gerardo Celario Sedano, York College of Pennsylvania Ezequiel G Celario Sedano is an Electrical Engineering Senior at York College of PennsylvaniaDr. Inci Ruzybayev, York College of Pennsylvania Inci Ruzybayev is Assistant Professor in Engineering Physics at the York College of Pennsylvania. She received her Ph. D. in Physics from University of Delaware and her M. S. and B. S. in Physics Education from M.E.T.U. in Turkey. Her technical research interests are in structural and characterization of TiO2 thin films and magnetic nanoparticles along with
takeplace online in October or November of 2021. Instructors and students will complete anothersurvey, after instructors attend the workshop, and instructors will again complete a follow-upsurvey in the spring of 2022.AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] M. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, vol. 93, pp. 223-232, July, 2004, doi: 10.1002/j.2168-9830.2004.tb00809.x.[2
. Abu-Ayyad, "Promoting Multidisciplinary Industry- Sponsored Capstone Projects," 2020 Mid-Atlantic Spring Conference, 2020.[3] K. C. Davis, "Enhancing Communication Skills in Senior Design Capstone Projects," 2001 ASEE Annual Conference, 2001.[4] B. Nuttall, J. Mwangi and C. Baltimore, "Capstone Projects: Integrating Industry through Student Leadership," 2009 ASEE Annual Conference & Exposition, 2009.[5] C. Cioc, S. Cioc and R. A. Springman, "Using Capstone Projects for Community Outreach," 2018 ASEE Annual Conference & Exposition, 2018.[6] J. A. Mynderse, R. W. Fletcher, L. Liu, A. L. Gerhart, S. Arslan and K. E. Yee, "A Three- Semester Mechanical Engineering Capstone Design Sequence Based on an SAE Collegiate
75.88353 2.44E-14 X45 205.278 1 205.278 7.433007 0.007398 X46 365.7274 1 365.7274 13.24279 0.00041 X50 966.0268 1 966.0268 34.97931 3.44E-08 X51 273.4833 1 273.4833 9.902684 0.002098 Error 3203.583 116 27.61709References1. Schraw, G., and Dennison, R. S., (1994), “ Assessing Metacognitive Awareness,” Contemporary Educational Psychology 19, pp. 460-475, 1994.2. Cunningham Patrick, Matusovich M. Holly, Hunter N. Deirdre-Annaliese, Williams A. Sarah, and Bhaduri Sreyoshi, 2017. “Beginning to Understand Student Indicators of Metacognition,” American Society for Engineering Education, 2017.3