, or believed they eventually would understand them on their own.Table 1 Researchers’ definitions and range of acceptable answers for each of the dimensionsTable 2 Mean cognitive validity scores by items Item Related Coherent Global Sum a Interpretation Elaboration a Response a Score b Source of Knowledge 1.17 1.2 1.5 3.87 Source of Knowledge 2 1.67 1.6 1.6 4.87 Justification for Knowing 1.3 1.43 1.83 4.57 Simplicity of Knowledge 1 0.83 1.27
opportunities to practice these skills. This • Networking with other successful students andtraining may take the form of officer transition meetings, engineering faculty,advisor orientations, or formal programs, cf. Tau Beta Pi’s • Entry into a social community on campus, andEngineering Futures sessions. Chapter activities in support • Opportunities for service and service-basedof the host department or school facilitate collaboration and learning. a) b) Figure 2. Missouri S&T: a) Tau Beta Pi Monument14 and b) IEEE-HKN History Display
instruction (with < 10% active learning during the class session) and tworelated homework problems per topic. For the flipped sessions, students watched recordedlectures before class. Each topic had a <20 minute overview video plus an example video whichwere recorded lectures from the same instructor and then edited to present online. Students wereminimally introduced to the in-class activity before dividing into 2-4 person groups to createMindstorms Lego systems to manipulate and evaluate rigid-body motion systems. Two teachingassistants and one grader helped students during Section A flipped session and the instructor anda teaching assistant answered students’ questions during Section B flipped session. As part of thein-class activity, each
Paper ID #27054Board 131: Methods for Assessing the Impact of Counterfactual Thinking onthe Career Motivation of Practicing Women EngineersMs. Renee Desing, Ohio State University Renee Desing is currently a graduate student at the Ohio State University in the Department of Engi- neering Education. Ms. Desing holds a B.S. in Industrial Engineering from the Georgia Institute of Technology and a M.S. in Industrial Engineering and Operations Research from the Pennsylvania State University. Most recently, Ms. Desing worked as a managing consultant for IBM Public Sector Advanced Analytics. c American
thermodynamic analysis of engineering processes and cycles. Recognizing the need toquickly and effectively introduce thermodynamic properties of water and at the same timereinforce the fundamentals, a new instructional approach was implemented. The approach reliedon targeted videos to (a) make the transition from ideal gas model to water properties seem lessdisconnected and (b) convey state relationships in a visual form, namely property charts. Twoseparate videos on ideal gases and water were produced with a clear overlap related to realfluids. Both videos used property charts to visualize the thermodynamic property relationships.After students watched the videos outside the lecture period, a short lecture was dedicated to themechanics of property
innovation through the application ofbiomimicry and design thinking in a maker context and (b) evaluating models for deepeningpreservice teachers’ pedagogical knowledge for supporting student learning in maker-centeredclassrooms. This National Science Foundation (NSF) Improving Undergraduate STEMEducation (IUSE) funded project, just ending year 1 of a 2-year project, was in response to anNSF Dear Colleague Letter calling for EAGER proposals to conduct exploratory work withrespect to STEM learning and design thinking.Maker-centered LearningMaker-centered learning, an infusing of many of the practices and ethos of the maker movementinto education, provides a framework for developing in teachers and students the mindsets,habits of mind, and process of
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
that would form the basis of the typology presented in this study. Each theme was comprised of multiple codes or elements that added nuance or clarity to the overarching theme.4. Checking themes – We cross-compared themes and their underlying elements to ensure (a) similar aspects were grouped together and (b) themes conveyed different types of student learning related to innovation. Thus, themes were checked intrinsically by asking, “Is this an accurate depiction of the comprising elements and critical incidents?” Themes were also checked holistically by asking, “Does this comprehensively describe the learning apparent across the elements and critical incidents?”5. Building narratives – This step further described the themes in
Science, vol. 22, no. 1, p.48-54, 2013.[8] Arduino Programming Certification Course, https://www.brainmeasures.com/certifications/1113/arduino- programming-certification.aspx[9] Thermoelectric Materials: Principles, Structure, Properties, and Applications, https://www.academia.edu/5923459/[10] Ssennoga T., Zhu J., Yan Y., Li B., " A comprehensive review of thermoelectric technology Materials: Principles, Structure, Properties and Applications", Elsevier Science.[11] BCS, Incorporated, "Waste Heat Recovery:Technology and Opportunities in U.S. Industry," U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy, Industrial Technologies Program (ITP), United States of America
rate their confidence in their abilityto complete activities related to engineering research on a scale of 1-5, with 1 = Low Confidenceand 5 = High Confidence. The nine activities they were asked to rate their confidence on were: a. Talk about science and engineering b. Read and use engineering and scientific literature. c. Write about science and engineering d. Generate a hypothesis e. Formulate a scientific argument from evidence. f. Design an experiment g. Analyze and interpret data h. Write a report based on an experiment. i. Pursue engineering as a career.Participants were also asked about their confidence on these items on the post-surveyadministered at the end of the six-week summer program. Paired
Paper ID #27647Board 97: Robots at Your Service: An Entrepreneurial and Socio-TechnicalACL Course ModuleDr. Ming Z. Huang, University of San Diego Ming Huang received his MS in University of Rhode Island and Ph.D. from the Ohio State University in Mechanical Engineering. He is currently professor and chair of mechanical engineering department at USD. His research interests are coordination and computer aided design optimization of of robotic mechanisms, theory and practices of inventive problem solving and engineering pedagogy.Dr. Elizabeth Reddy, Colorado School of Mines Elizabeth Reddy is a Teaching Assistant Professor in
setting.REFERENCES[1] M. H. Bazerman, "Judgment and Decision Making," in R. Biswas-Diener and E. Diener. Noba textbook series: Psychology. Champaign, IL: DEF publishers, 2017.[2] T. B. Ward, “Creative Cognition as a Window on Creativity,” Methods, Vol 42, Issue 1, p. 28, 2007.[3] M. P. Farrell, Collaborative Circles, Friendship Dynamics and Creative Work. Chicago: University of Chicago Press, p. 268, 2001.[4] G. Schmitt, “Case-Based Design and Creativity,” Automation Based Creative Design: Research and Perspectives. Ed. Alexander Tzonis and Ian White. Amsterdam: Elsevier Science, p. 43, 1994.[5] J. E. Stets and P. J. Burke, “Identity Theory and Social Identity Theory,” Social Psychology Quarterly 63, p. 224
Session ETD 545 Collaboration on Engineering Technology Capstone Projects with the UNH University Instrumentation Center T. Sean Tavares, Shawn C. Banker, Christopher D. LeBlanc, Jonathan Ferguson, University of New HampshireAbstractCollaboration with partners located in industry and at research centers has been the source ofmany high quality Engineering Technology senior capstone projects. A recent capstone projecthosted by the University of New Hampshire (UNH) University Instrumentation Center (UIC)was focused on improving the efficiency of the process involved in producing large scale 3Dprinted
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
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
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
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
. 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
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
-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
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
-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
.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
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