southwest regions ofVirginia, or regions 6 and 7 as defined by the Virginia Department of Education (see Figure 3). Figure 3. Virginia Department of Education (VDOE) Superintendent’s RegionsFocus groupsWe conducted seven focus groups with a total of 21 students in Year 1. The focus groupquestions aimed to understand (a) how and why participants chose to enroll in college generallyand major in engineering specifically, (b) the community-level factors that influenced theirdecision, and (c) general perceptions in their communities regarding college and engineeringcareers as well as who should/should not pursue such aspirations. Focus groups not onlyprovided rich data to begin exploring RQ1, but also informed the sampling process and
drawing on seniorand alumni survey data that provides insights into the areas of practice where students haveinterned and alumni have found full-time employment. That effort would allow for an additionallevel of connection, drawing a link between the examples that are provided and the specificindustries that employ the largest proportion of the department’s graduates.References[1] College of Engineering and Applied Science, Senior survey data, Boulder, CO: University ofColorado Boulder, 2018.[2] Office of Data Analytics, Fall census, Boulder, CO: University of Colorado Boulder, 2018. xford, UK:[3] B. Latour, Reassembling the Social: An Introduction to Actor
Paper ID #26997Resolving Moral Dilemmas Using the Creative Middle Way ApproachDr. Ashraf Ghaly P.E., Union College Ashraf Ghaly is Director of Engineering and Carl B. Jansen Professor of Engineering at Union College, Schenectady, NY. Published over 250 papers, technical notes, and reports. Supervised over 50 research studies. Registered PE in NYS. ASCE Fellow and Member of the Chi-Epsilon Civil Engineering Honor Society. c American Society for Engineering Education, 2019 Resolving Moral Dilemmas Using the Creative Middle Way Approach Ashraf Ghaly, Ph.D., P.E., Professor
ability to purchase many of these publications. In addition, theability to do multiple database searches on the EbscoHost platform could work really well ifcomplementary information is already in an Ebsco database.References[1] EBSCO, “EBSCO Information Services releases Engineering Source,” June 6, 2013.[Online]. Available: https://librarytechnology.org/document/17997. [Accessed Sept. 18, 2018].[2] J. J. Meier and T. W. Conkling, “Google Scholar’s coverage of engineering literature: Anempirical study,” The Journal of Academic Librarianship, vol. 34, no. 3, pp.196-201, May 2008.[Online]. Available: ScienceDirect, http://www.sciencedirect.com. [Accessed Sept. 18, 2018].[3] B. A. Osif, Ed., Using the engineering literature, 2nd ed., FL: CRC Press
, pp. 71-103, Feb. 2010.[8] K. Huutoniemi, “Communicating and compromising on disciplinary expertise in the peer review of research proposals,” Social Stud. of Sci., vol. 42, no. 6, pp. 897-921, Dec. 2012.[9] B. Paltridge, “Referees’ comments on submissions to peer-reviewed journals: When is a suggestion not a suggestion?” Stud. in Higher Edu., vol. 40, no. 1, pp. 106-122, Feb. 2015.[10] W. Lopworth and I. Kerridge, “Shifting power relations and the ethics of journal peer review,” Social Epistemology: A J. of Knowledge, Culture and Policy, vol. 25, no. 1, pp. 97-121, Jan. 2011.[11] M. Eisenhart, “The paradox of peer review: Admitting too much or allowing too little?” Res. in Sci. Edu., vol. 32, no. 2, pp
would do the upgrade) or a new from-the-factory model.Additional challenges in projects such as these include: 1. The students are from different disciplines and on different project calendars for milestones and assignments: a. Electrical Engineering, Mechanical Engineering, Business, Social Innovation b. The final products (PoC / Prototype, paper, presentation, poster session) dates do not all coincide. 2. Being the senior year, while this is a major focus it is not their only focus. 3. Most, if not all, of the students have never managed a project with their own classmates, let alone a project that involves others outside their discipline. 4. Each student team is organized differently
science reform efforts really need to address. Journal of Educational Psychology, 93, 199-210 AND Walczyk, J. L. & Ramsey, L. L. (2003). Use of learner-centered instruction in college science and mathematics classrooms. Journal of Research in Science Teaching, 40(6), 566-584 AND Seymour, E., & Hewitt, N. M. (2000). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press AND National Governors Association Center for Best Practices. Building a science, technology, engineering and math education agenda: an update of state actions. Washington, DC: National Governors Association Center for Best Practices; 2012.[9] Eagan, M. K., Stolzenberg, E. B., Berdan Lozano, J
Paper ID #25482Kindergartners Planning in the Design Process: Drawn Plans and how theyRelate to First Try Design Attempts (Fundamental)Pamela S. Lottero-Perdue Ph.D., Towson University Pamela S. Lottero-Perdue, Ph.D., is Professor of Science and Engineering Education in the Department of Physics, Astronomy & Geosciences at Towson University. She has a bachelor’s degree in mechanical engineering, worked briefly as a process engineer, and taught high school physics and pre-engineering. She has taught engineering and science to children in multiple formal and informal settings. As a K- 8 pre-service teacher educator, she
benefits B) by (approach A) better than (competition C).” Thisdeliverable also included a presentation with a video demonstrating their prototype. This projectallowed the students to combine the programing and 3-D modeling they learned in the course,with the Arduino knowledge they gained to make a physical prototype to solve a real need.3.4 ME 3511 – Experimental MethodsTaken in the fifth semester, ME 3511 has traditionally focused on using the LabView software asan interface for National Instruments USB-based data acquisition (DAQ) systems, in conjunctionwith industrial quality sensors. While LabView is commonly used in industrial DAQapplications, and is especially capable of interacting with National Instruments hardware, it is acomplex
-to-face section offered in the same semester. For the Fall 2015 pilot implementation, Table 1 showsa comparison of the online section and the face-to-face section of the Engineering Graphicscourse. The online section was taught by the engineering instructor (Professor A) who developedthe online course. The face-to-face course was taught by an adjunct instructor (Professor B) whowas teaching the graphics class for the first time. The two instructors used the same PowerPointlectures to deliver content to students. For the online class, the PowerPoint slides were presentedin pre-recorded lecture videos, while the PowerPoint slides were presented by the instructorduring class time for the face-to-face section. The same laboratory exercises with
. Comparison of the number of students (top number) and fraction (bottom number) in Study 1 with errors in parts 1 and 2 of the FCC (111) plane. (a) “Should touch” misconception. (b) “Missing atoms” misconception. (a) FCC (111) “Should Touch” (b) FCC (111) “Atoms Missing” Part 2 Part 2 N=46 N=46 Error No Error Error No Error Error 16 13 Error 1 10 0.35 0.28 0.02 0.22 Part 1
-sets tostudents through multi-disciplinary course content effectively. The paper also seeks to address thefollowing specific questions: a) How can this course prepare students from diverse backgrounds to have ageneral proficiency in skill sets? b) Will integration of modules such as identifying aspects of researchmethods and statistics, required for successfully understanding and being proficient in data mining, workbetter as opposed to offering a stand-alone menu of topics in research methods, statistics and data mining?The paper is organized with a description of the COT 706 course background, followed by details of thecourse including the proposed structure for the course. Data from various sources are collected to analyzethe effectiveness
. The first question asked about thedefinition of sustainability as a multiple-choice question. The correct answer for this questionwas choice B, “meeting the needs of the present without compromising the ability of futuregenerations.” Figure 1 shows the results from the pre- and post-surveys and it can be seen fromthe figure that 12 students knew the correct answer at the beginning of the semester and by theend of the semester a total of 73 students knew the correct definition. This shows the percentageof students who knew the correct definition of sustainability increased from 16.9% to 96% aftertaking the course. This shows that the lessons have done their part in imparting the concept ofsustainable development. Figure 1: Bar graph showing
principle. To add an element of drama, I will tape the buriedtreasure to the underside of the classroom tables hours before class, so that students are surprisedwhen the treasure map actually leads to us finding something hidden in the classroom. The nextpiece of treasure uncovers a rubber resistance pull-up band, which is used to help studentsvisualize axial forces and the importance of using the internal force in the member whencalculating deflections. Two example problems later and students are leaving the classroomwondering if they actually will ever set foot on dry land again. Figure 1: (a) Eminem outfit, (b) Jello block, and (c) pirate flagTresca v. von MisesDepending on my classroom assignment, I will try to reorient the
reflections written by four students working on the same web application. Three themeswith four subthemes emerged from the data 1) how students perceived learning a) technical and b) professional skills, 2) how students perceived they were accomplishing project goals, and 3) the perceived relationship they had with the community partner a) the impact of their project and b) the impact of the community on themselves.This section will focus on unpacking each theme with supported quoted evidence from thereflections.Theme 1: Learning The first theme that emerged involved the perceived knowledge the students were acquiring.The knowledge ranged from technical software skills they learned in order to contribute
, asstudents had to initiate and accomplish a project by themselves, where teachers played amentoring role. However, not all choices mattered in the same way for students. The mostimportant choices that students felt that increased their perceived autonomy were:a) Autonomy over the choice of topic for the assignment and the project, “You have the freedom to work on whatever interest you and that is really motivating” “I thought you had enough freedom to choose which way you would approach the problem, free enough to come up with solutions to the problem”b) Autonomy over organizing teamwork and distribution of workload (e.g. defining their owntiming and deadlines). “…I like the way it's set up, cause it fits exactly with what
Process Industries, 57, 114-119. Retrievedfrom http://www.sciencedirect.com/science/article/pii/S0950423018300962.doi:https://doi.org/10.1016/j.jlp.2018.08.014[7] Brigette, H., & Peter, P. (2006). The checklist—a tool for error management and performanceimprovement. Journal of Critical Care, 231-235.[8] Federal Aviation Administration. (2018, December 20). Electronic Code of FederalRegulations. Washington DC, United States. Available: https://www.ecfr.gov/cgi-bin/retrieveECFR?gp=1&SID=aa8fea6ef04319b68102c105dd9437f2&ty=HTML&h=L&mc=true&n=pt14.1.3&r=PART[9] Mrusek, B. M., Kiernan, K. W., & Clark, P. J. (2018). UAS Maintenance: A CriticalComponent in Maintaining Airworthiness. International Journal of Aviation
.16-25, 1989.[14] M. E. Martinez,) “What is Problem Solving?” The Phi Delta Kappan, vol.79, no.8, 605-609, 1998.[15] D. H. Jonassen, J. Strobel, & C. B. Lee, “Everyday problem solving in engineering: Lessons for engineering educators,” Journal of Engineering Education, vol. 95, no. 2, pp. 1-14, 2006.[16] S. Shanta, “Engineering in grades 9-12: Framework for the Development of a Study on Authentic Problem Solving Skills,” Research Monograph Series, Council on Technology & Engineering Teacher Education, 2018.[17] P. S. Steif, J. M. Lobue, & L. B. Kara, “Improving problem solving performance by inducing talk about salient problem features,” Journal of Engineering Education, vol. 99, no. 2, pp. 135-142
families forfacilitating the students’ participation. This material is based upon work supported by theNational Science Foundation under Grant No. DRL-1657509 and Grant No. DRL-1657519. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] Next Generation Science Standards Lead States, “Next Generation Science Standards: For states, by states.” Washington, DC: National Academies Press, 2013.[2] B. M. Capobianco, H. A. Diefes-Dux, I. Mena, and J. Weller, “What is an engineer? Implications of elementary school student conceptions for engineering education,” J. Eng. Educ., vol. 100, no. 2
qualitative strand was executed first, through content analysis of all coursedescriptions in the undergraduate catalogs of the institution under study. This process followed acoding framework based on two elements: a) the different data analysis skills described byABET’s Criterion 3.b, and b) the cognitive levels articulated by each description.Coding Scheme. In order to limit the space of exploration in the varied engineering curricula,the data analysis skills described by Criterion 3.b were tied to either 1) Laboratory courses or 2)Statistics courses. The first were expected to cover the design and execution of experiments,while the latter were expected to cover skills to analyze and interpret data. While it isacknowledged that these abilities are
Paper ID #25541Co-Designed Research Agenda to Foster Educational Innovation Efforts WithinUndergraduate Engineering at HSIsGemma Henderson, University of Miami Gemma Henderson is a Senior Instructional Designer for the LIFE (Learning, Innovation and Faculty Engagement) team in Academic Technologies at the University of Miami, Coral Gables. Gemma partners with faculty members, academic units, and other university stakeholders to create and assess innovative, effective, and meaningful learning experiences, through learner-centered pedagogies, differentiated teach- ing, and emerging educational technologies. She has
and Equity Research (PEER), The Urban Institute, Washington, DC, 2005.[47] M. T. Jones, A. E. L. Barlow and M. Villarejo, "Importance of Undergraduate Research for Minority Persistence and Achievement in Biology," The Journal of Higher Education, vol. 81, no. 1, pp. 82-115, 2010.[48] M. W. Ohland, C. E. Brawner, M. M. Camacho, R. A. Layton, R. A. Long and e. al., "Race, Gender, and Measures of Success in Engineering Education," Journal of Engineering Education, vol. 100, no. 2, pp. 225-252, 2011.[49] J. A. Raelin, M. B. Bailey, J. Hamann, L. K. Pendleton, R. Reisberg and e. al., "The Gendered Effect of Cooperative Education, Contextual Support, and Self-Efficacy on Undergraduate Retention," Journal of Engineering
instead of the mean because the data set did not control foroutliers and that the course grades did not follow a normal distribution.Table 2. Percentage of students above and below the median grade at the time the survey wastaken. The median grade at the mid-semester survey was a B. Graduate leaders taught 39%(n=46) of the class whereas undergraduate leaders taught 61% (n=72) of the class. Thepercentages represent what proportion of their respective student body was above or below themedian. The median final grade was an AB. There was one student who dropped the coursebetween the mid and final impressions. % Above / %below Group Mid-Semester Final
twosubstitute projects needed to be added to cover both cryptographic algorithms [2] and messageauthentication [3]. After taking this course, students should be able to: (a) Describe the operation of an encryption algorithm, (b) explain the design principles of message authentication mechanisms, (c) implement and test encryption algorithms on a FPGA, and (d) debate, criticize, and assess the operation of different implementations of the same encryption algorithm.Students taking this course are assumed to only have background knowledge in digital systemdesign, without any prior exposure to the mathematical background of encryption andauthentication algorithms. The challenge for this course then becomes the development ofimpactful projects to
: ConclusionThe preliminary results of this study provide evidence that large-scale changes in the scope of adesign project may affect student motivation, enthusiasm, group dynamics, and the perception ofvalue. The first two parameters can have a great impact in a student’s persistence in their major.A longitudinal study will be continued to obtain data to support this hypothesis. Additionally, thegoal would be to identify ways to mitigate these effects to ensure a better student experience.References[1] National Science Foundation https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5257[2] Vernaza, K.M., Vitolo, T., Steinbrink, S. and Brinkman, B. (2012). “Building Excellence:Service Learning in the SEECS Program, an NSF S-STEM Sponsored Project
) on Group Dynamics and Group Outcome in EFL Creative Writing,” J. Lang. Teach. Res., vol. 6, no. 1, pp. 147–156, Jan. 2015.[10] W. McKeachie and M. Svinicki, McKeachie’s Teaching Tips. Cengage Learning, 2013.[11] B. Oakley, R. M. Felder, R. Brent, and I. Elhajj, “Turning student groups into effective teams,” J. Stud. Centered Learn., vol. 2, no. 1, pp. 9–34, 2004.[12] N. Houston, “Assigning Students to Small Groups,” The Chronicle of Higher Education Blogs: ProfHacker, 30-Aug-2010.[13] R. Likert, “A technique for the measurement of attitudes.,” Arch. Psychol., 1932.
if the term was the Spring semester and 0 if it was the Fall semester. Summerand Mini semester information will not be used.Measures - Mediation and Moderated Mediation ModelsThe model for mediation focused on using the students’ test scores from class (test) as theindependent variable with final semester average (grade) as the dependent variable. The stu-dents’ score on an anxiety survey (anxiety) was used as the mediator in the model. Anxiety a b c’Test Grade Figure 2: Single mediator model.ResultsHierarchical linear modeling was used to statistical analyze a data structure where
: Mark Tufenkjian). The assistance of Dr. MichaelSimpson, Director of Education and Workforce for the Office of Naval Research is greatlyappreciated.References[1] R. D. Beer, H. J. Chiel, and R. F. Drushel, “Using autonomous robotics to teach science and engineering,” Commun. ACM, vol. 42, no. 6, pp. 85–92, 1999.[2] J. B. Weinberg et al., “A multidisciplinary model for using robotics in engineering education,” in Proceedings of the 2001 ASEE annual conference and exposition, 2001.[3] J. Drew, M. Esposito, and C. Perakslis, “Utilization of Robotics in Higher Education,” 2006.[4] J. Yao et al., “‘Who Is The Biggest Pirate?’ Design, Implementation, And Result Of A Robotics Competition For General Engineering Freshmen,” in 2006 ASEE
technology”. Proceedings of the 112th ASEEAnnual Conference & Exposition. Portland, OR. June 12-15, 2005.[11] Chesney, D.R. “From egg drops to gum drops: Teaching fourth grade students aboutengineering”. Proceedings of the 2003 ASEE Annual Conference & Exposition. Nashville, TN.June 22-25, 2003.[12] English, L.D. and King D. “Engineering education with fourth-grade students: Introducingdesign-based problem solving”. International Journal of Engineering Education. October 2016.Volume 33. Issue 1. Part B. Pages 346-360.[13] Bilen-Green C., Khan A., and Wells D. “Mentoring young girls into engineering andtechnology”. Proceedings of the 115th ASEE Annual Conference & Exposition. Pittsburgh, PA.June 22-25, 2008.[14] Yoder, B.L. “Engineering
, J. Galco, K. Topping, and J. Shranger. “Sharedscientific thinking in everyday parent-child activity,” Science Education, vol. 85, no. 6, 2001.[6] K. Crowley and M. Jacobs, “Building Islands of Expertise in Everyday Family Activity,”Learning Conversations in Museums, vol. 33356, 2002.[7] H. T. Zimmerman, S. Reeve, and P. Bell, “Family sense-making practices in science centerconversations,” Science Education, vol. 91, no. 5, 2010.[8] B. L. Dorie, M. E. Cardella, and G. N. Svarovsky, “Capturing the engineering behaviors ofyoung children interacting with a parent,” in Proceedings of the 2014 ASEE Annual Conferenceand Exposition Indianapolis, IN, June 2014.[9] M. E. Cardella, G. N. Svarovsky, B. L. Dorie, Z. Tranby, and S. V. Cleave, “ender