Paper ID #29065Incorporating Diversity and Inclusion in the Computing ClassroomDr. Bridget Benson, California Polytechnic State University, San Luis Obispo Bridget Benson received a Bachelor’s degree in Computer Engineering at California Polytechnic State University San Luis Obipso in 2005, a Master’s degree in Electrical and Computer Engineering at the University of California Santa Barbara in 2007 and a PhD degree in the Computer Science and Engi- neering at the University of California San Diego in 2010. She is currently an Associate Professor in the Electrical Engineering Department at California Polytechnic State
be directly measured. Except for Q2, the treatmentgroup took slightly longer than the control group. T-test results show that the difference between (a) Number of Submissions (b) Time (in minutes) between a student’s First and Last Attempt Figure 2: Submission Details per Questionthe groups was statistically significant for Q2(p=0.019), Q4(p=0.003), Q7(p=0.004) andQ8(p=0.04). So the treatment group had more submissions on the Apply and Analyze-typequestions and also took longer to complete.Code Quality (RQ2)We also inspected the quality of the students solutions. The solutions for Analyze and Apply typeexercises results in very similar solutions
.[7] A. Al-Bayati, M. Namian, and K. Alomari, “Construction Stakeholders’ Perception toward the Success Factors of Construction Projects.” Canadian Society for Civil Engineering (CSCE) 2019.[8] D. P. Gilkey, C. L. D. Puerto, T. Keefe, P. Bigelow, R. Herron, J. Rosecrance, and P. Chen, “Comparative Analysis of Safety Culture Perceptions among HomeSafe Managers and Workers in Residential Construction,” Journal of Construction Engineering and Management, vol. 138, no. 9, pp. 1044–1052, 2012.[9] E. Jazayeri, H. Liu and G. B. Dadi, “Perception differences between contractors and owners regarding drivers of construction safety.” Journal of Safety Engineering, 6(2): 29-39 DOI: 10.5923/j.safety.20170602.02, 2017.[10] J. Dawes
Week No. Topic 1 Study of extreme environments and planetary conditions (Earth, Moon and Mars) 2 Infrastructure planning and transportation 3 Potential sites and in-situ resources 4 Health, well-being, safety, and comfort 5 Energy efficiency of structures 6 Overview of outer space structures and habitat case studies (built and unbuilt) 7 - 12 Habitat Design A. Habitat types and program requirements B. Deployable structures i. Geometric design and connection detailing ii. Optimal structures: packaging
. This first year will serve as a pilot to gain insight and feedback into the survey andassignment.Below is the table containing KEEN framework category [3], KEEN related course outcomes[4], and the artifact(s) that will be used to assess each outcome. Appendix B provides theInstructor/Peer Video Rubric and Self-Reflection Rubric and appendix C contains the surveysgiven to the students. Category of KEEN KEEN Related Course Assessment Plan Related Course Outcome [4] Outcome [3] Related to Curiosity Take ownership of, and express Grade on Video interest in topic/expertise/project. Communication Present technical information Grade from rubric on these portions
engineering educator might be expected to possess. This has profoundimplications for the design of future courses for beginning teachers of engineering and alliedsubjects.(b) Findings related to becoming a professional engineering educatorOne of us (John) was much affected by the fact that much of the discussion seemed to focus onthe personal problems of the teacher, in particular the teaching versus research conflict. Itseemed there were no lines of accountability and that everything was governed by a strongmotivation to write papers to be published in internationally peer reviewed journals. He alsonoted a similarity with the problems faced by the beginning schoolteacher and considered thatthe workshop should have begun with a discussion of
." 2019 ASEE Annual Conference & Exposition. 2019.[9] J. Love, et al. “No Lab? No Shop? No Problem: Intentional Design of a First year Engineering Learning Centerwith Enlightening Outcomes.” ASEE Annual Conference and Exposition, Seattle, Washington. Vol. 10. 2015.[10] Terranova, B., L. Khuon, and A. Fontecchio. "Makerspaces First: A First-year Engineering Program in anAcademic Makerspace." Proceedings of 2017 International Symposium on Academic Makerspaces. 2017.[11] A. Borgaonkar, J. Sodhi, and L. Alkhoury. “Integrating Makerspace in First-Year Engineering Curriculum.”2019 FYEE Conference. 2019.Appendix
Knowledge Worker inthe Dual Space of Engineering Knowledge and Rhetorical Process” Writing in Knowledge Societies, pp.321-350, 2011[13] Devitt, Amy., Writing Genres, Carbondale: Southern Illinois Press, 2004, pp. 1-32[14] Swales, John M., Feak, Christine B., Academic Writing for Graduate Students: Essential Tasks andSkills, 3rd Edition, The University of Michigan, pp. 17-37, 2012[15] Kmiec, David and Longo, Bernadette, The IEEE Guide to Writing in the Engineering and TechnicalFields IEEE Press Wiley, 2017[16] Smit, David, The End of Composition Studies. Carbondale: Southern Illinois UP, 2007[17] Bazerman, Charles, “‘Genre and Cognitive Development” Genre in a Changing World Fort Collins,CO: Parlor Press, pp. 279-294, 2011[18] Irish, Robert, Writing
Statistics," Statist. Sci., vol. 24, pp. 1-14, 2009/02 2009.[9] D. Moher, F. Naudet, I. A. Cristea, F. Miedema, J. P. Ioannidis, and S. N. Goodman, "Assessing scientists for hiring, promotion, and tenure," PLoS biology, vol. 16, p. e2004089, 2018.[10] M. G. Siegel, J. C. Brand, M. J. Rossi, and J. H. Lubowitz, "“Publish or perish” promotes medical literature quantity over quality," ed: Elsevier, 2018.[11] B. Brembs, K. Button, and M. Munafò, "Deep impact: unintended consequences of journal rank," Frontiers in human Neuroscience, vol. 7, p. 291, 2013.[12] D. R. Grimes, C. T. Bauch, and J. P. Ioannidis, "Modelling science trustworthiness under publish or perish pressure," Royal Society Open Science, vol. 5, p
students andtheir non-URM peers, which starts early on in lower-division math and science courses as thesecourses build the foundation for upper-division ECS courses. a) NATURAL SCIENCE AND MATHEMATICS b) CIVIL & ENVIORONMENTAL ENGINEERING 50 50 URM STUDENTS URM STUDENTS
the students. These case studieswill be improved to create complex scenarios for ethical education and training of students incivil and environmental engineering curricula. 105. References[1] Martin, M.W. & Schinzinger, R. Ethics in Engineering. New York: McGraw Hill (1996).[2] Houston, B. (2006, June), Ethics A Tough Choice Paper presented at 2006 AnnualConference & Exposition, Chicago, Illinois. https://peer.asee.org/793[3] Poor, C. J., & Chase, A., & Inan, M. (2019, March), Integrating Ethics Across the CivilEngineering Curriculum Paper presented at 2019 ASEE PNW Section Conference, Corvallis,Oregon. https://peer.asee.org/31883[4] Carpenter, W. (2004, June), Teaching Ethics To
Paper ID #30638Using Music Videos to Inspire Engineering (Evaluation)Ms. Krista Schumacher, University of St. Thomas Krista is an undergraduate Elementary Education and STEM Education major at the University of St. Thomas.Molly Roche, University of St. ThomasEsm´ee Julia Verschoor, Playful Learning Lab Esm´ee Verschoor is a Communication and Journalism major at the University of St. Thomas in St. Paul, Minnesota. She is passionate about graphic design, visual communication and cultural studies. Currently, Esm´ee is the Visual Manager at the Playful Learning Lab, led by Dr. AnnMarie Thomas, where she creates, designs
Courses.” 2017 IEEE Frontiers in EducationConference (FIE).[13] https://www.youtube.com/watch?v=iHiLAJGDGt4Appendix 1An example of the written proposal:Appendix 2The beam design problem on the final exam:A 30-ft-span simply supported beam is laterally supported at the ends and midspan. The beamcarries a uniform service dead load of 1.6 k/ft (not including the self-weight of the beam) and aconcentrated service live load of 15 kips at midspan. a) Determine the required moment per LRFD. b) Determine the required shear per LRFD. c) Determine the lateral-torsional buckling modification factor. d) Use A992 and select the lightest W-shape. The maximum permissible live load deflection is L/360.
during which the surveys were administered.MeasuresThe survey consists of (a) section of demographic information and (b) section of questions onself-beliefs in success (academic self-efficacy and subjective values), academic engagement(efforts and persistence), learning climate, and achievement emotions (enjoyment, anxiety,hopeless, shame, and anger before, during, and after class). In (a) section, the demographicitems measure students’ gender (male= 0, female =1), age, race, major, academic year, andself-reported GPA. The (b) section includes 98 Likert-scaled items from 1 (strongly disagree)to 5 (strongly agree) and from 1 (not at all true of me) to 7 (very true of me). All Likert-scaled items were adapted from existing research [9]. Some
, and M-I. Carnasciali, “Investigating the entrepreneurial mindset of engineering and computer science students,” Proceedings, ASEE Annual Conf., Salt Lake City, UT, Paper 21777, 2018.5. S. Brunhaver, J. Bekki, A. R. Carberry, J. S. London, and A. F. McKenna, “Development of the engineering student entrepreneurial mindset assessment (ESEMA),” Advances in Engineering Education, vol. 7, no. 1, 2019.6. R. E. Kleine III, and J-D. Yoder, “Operationalizing and assessing the entrepreneurial mindset: A rubric based approach,” Journal of Engineering Entrepreneurship, vol. 2, no. 2, 2011, pp. 61-90.7. J. B. Hylton, and B. Hays, “Modifying the VALUE rubrics to assess the entrepreneurial mindset,” Proceedings, ASEE Annual Conf., Paper
Paper ID #30038Analyzing Changes in Student Graph Reasoning and Comprehension Re-gardingGraph Axis PresentationMr. Justin Cory Willis, University Of Maine- Orono Justin Willis is a Graduate Instructor at the University of Maine, for the Mechanical Engineering Tech- nology department. He is also a graduate student in UMaine’s Master of Science in Teaching program, and a volunteer math tutor for students and adults in Old Town, ME. Research interests include statistics education in engineering applications, and career and adult education.Dr. Brett D. Ellis, University of Maine Dr. Brett Ellis, P.E. is an Assistant
| 10.1093/cdj/35.1.41 | DeepDyve. (n.d.)Hatibu, N., H.F. Mahoo, B. Kayombo and O. Mzirai (1997) Evaluation and Promotion ofRainwater Harvesting in Semi-arid areas of Tanzania. (n.d.-a).
Students’ Perceptions,” J. Higher Educ., vol. 76, no. 5, pp. 570–601, 2005.[7] A. B. Frymier and M. L. Houser, “The Role of Oral Participation in Student Engagement,” Commun. Educ., vol. 65, no. 1, pp. 83–104, 2016.[8] J. W. White, “Resistance to classroom participation: Minority students, academic discourse, cultural conflicts, and issues of representation in whole class discussions,” J. Lang. Identity Educ., vol. 10, no. 4, pp. 250–265, 2011.[9] K. McDonald, “Increasing the class participation experience for engineers,” ASEE Annu. Conf. Expo. Conf. Proc., 2006.[10] R. C. Jones, “The ‘Why’ of Class Participation: A Question Worth Asking,” Coll. Teach., vol. 56, no. 1, pp. 59–63, 2008.[11] T. Docan-Morgan, “The
Society for Engineering Education Annual Conference & Exposition, Paper AC 2007-2234. 23 pp.[8] Pickering, M., E. Ryan, K. Conroy, B. Gravel, M. Portsmore. 2004. The Benefit of Outreach to Engineering Students. Proceedings of the American Society for Engineering Education (ASEE) Annual Conference & Exposition. Session 1692. 12 pp.[9] Bielefeldt, A.R., J. Lewis, M. Polmear, D. Knight, N. Canney, C. Swan. 2020. Educating civil engineering students about ethics and societal impacts via co-curricular activities. Journal of Civil Engineering Education. In press.[10] Cress, C.M., C. Burack, D.E. Giles, J. Elkins, M.C. Stevens. 2010. A Promising Connection: Increasing College Access and Success through Civic Engagement
about their research and use of HPC: (a) Gender distribution (b) Race/ethnicity (c) Class standingFig. 1: Demographics of the 53 applicants received by the Clarkson University HPC REU Sitein 2019.Point 1: Both the faculty researchers and their graduate students are short on professionaltraining regarding the use and development of HPC techniques. Therefore, it is often difficultfor them to develop full-fledged HPC applications by adopting and customizing state-of-the-artopen source HPC tools (e.g., OpenFOAM [12], Geant4 [13]) or by developing their ownin-house simulators to address their HPC needs. This is because the engineering researchersand students are unfamiliar with the specific parallel and distributed
following research question and sub-questions: How does the experience of learning differ between labatorials and traditional labs? a. How do social interactions in the lab impact the student learning experience? b. What elements of labs play a role in providing a satisfying learning experience? c. In what ways do labatorials affect student perspectives on physics? d. In what ways does students’ self-efficacy evolve through physics labs? e. In what ways do labatorials and traditional labs differ in promoting the development of conceptual understanding? The mixed methods design involves concurrent qualitative and quantitative datacollection, which was integrated at the data interpretation phase of the research
, because air has a index of refraction slightly greater than unity, there issome refractive bending, and thus, the signal may travel slightly beyond the horizon. (b) Thesurface wave, which is also called the Norton surface wave. Norton surface waves are waves thattravel along the earth’s surface in the same way a electromagnetic wave would travel along atransmission line[1]. The losses are dictated by the frequency, the higher the frequency, thegreater the signal attenuation. The Norton surface wave permits reasonable propagation ofsignals below the medium frequency (MF) bands and therefore, depending on the transmitterpower, AM broadcast signals can propagate up to a maximum of hundred or miles or so duringthe day via the surface wave. At
feedback. The authorswould also like to thank the staff of Department of the Electrical Engineering and ComputerScience (EECS) at the University of Michigan for their help in organizing the Electrify summercamp; special thanks to Silvia Dykstra for providing the pie charts in Figure-5 and 6.References[1] J. Rogelj, D. Shindell, K. Jiang, S. Fifita, P. Forster, V. Ginzburg, C. Handa, H. Kheshgi, S. Kobayashi, E. Kriegler et al., “Mitigation pathways compatible with 1.5 c in the context of sustainable development,” 2018.[2] “Global ev outlook 2019: Scaling-up the transition to electric mobility,” IEA 2019, May 2019.[3] A. Daga, J. M. Miller, B. R. Long, R. Kacergis, P. Schrafel, and J. Wolgemuth, “Electric fuel pumps for wireless power
semester has been great. It's simply not feasible to carry multiple textbooks around, and not having it on-line would inhibit my ability to do homework problems from it and other textbooks while on campus.Focus Group ResultsFocus group students were engaged and happily willing to discuss eTextbooks and the library.We asked a series of eight questions (Appendix B) and allowed for tangents in the discussion asnecessary.eTextbook ProblemsOur most fruitful question was about problems the students ran into while using eTextbooks.These responses mirrored our survey responses about eTextbook problems, but we were able tolearn more details. Students do not like when they are forced to create a username and passwordbefore downloading a
allowed us to see that minimallyaddressing “thinking about thinking” or “learning to learn” can help expand students’ approachesto learning if not knowing when to apply a given approach as opposed to others--all puttinglearning more squarely into the hands of the learners themselves [19].References[1] A. Gibson, K. Kitto, and P. Bruza (2016). “Towards the discovery of learner metacognition from reflective writing.” Journal of Learning Analytics, 3(2), pp. 22-36.[2] J. H. Flavell (1976). “Metacognitive aspects of problem solving.” In L. B. Resnick (Ed.), The nature of intelligence (pp. 231–236). Hillsdale, NJ: Erlbaum.[3] M. Hora and A. Oleson (2017). “Examining study habits in undergraduate STEM courses from a situative
. 93, no. 6, pp. 44–54, 2015.[2] R. Roy and J. C. k. h. Riedel, “Design and innovation in successful product competition,” Technovation, vol. 17, no. 10, pp. 537–594, Oct. 1997.[3] G. Gemser and M. A. Leenders, “How integrating industrial design in the product development process impacts on company performance,” Journal of Product Innovation Management: AN INTERNATIONAL PUBLICATION OF THE PRODUCT DEVELOPMENT & MANAGEMENT ASSOCIATION, vol. 18, no. 1, pp. 28–38, 2001.[4] J. H. Hertenstein and M. B. Platt, “Performance Measures and Management Control in New Product Development,” Accounting Horizons, vol. 14, no. 3, pp. 303–323, Sep. 2000.[5] “Industrial Design Market 2019: Global Industry Trends, Sales Revenue, Industry
Paper ID #30032Changes in Teacher Self-Efficacy Through Engagement in an EngineeringProfessional Development Partnership (RTP)Malle R Schilling, Virginia Tech Malle Schilling is currently pursuing a PhD in Engineering Education from Virginia Tech. Malle gradu- ated in 2018 with a Bachelor’s degree in Mechanical Engineering from the University of Dayton. Her re- search interests include broadening participation in engineering, K-12 STEM education, and engineering identity. She has previously researched engineering camps and their effects on participants’ engineering self-efficacy, promotion and tenure policies, and the use
, cultural, social, environmental, and economicfactors.”17Disciplines have a variety of ways to approach problems. In this section, three different methodsare described: the scientific method, the engineering design process, and the creative processcommon to visual arts. A summary of each method, its attributes, and a comparison between thethree is provided in Table 1.The Scientific MethodIn scientific disciplines, one of the first methods taught to students is the scientific method. Asdescribed in one source “The scientific method has five basic steps, plus one feedback step: (a)Make an observation, (b) Ask a question, (c) Form a hypothesis, or testable explanation, (d)Make a prediction based on the hypothesis, (e) Test the prediction, [and] (f
. 2014.[16] N. Madter, N. Brookes, D. Bower and G. Hagan, “Exploring project managementcontinuing professional development in engineering construction,” Construction Managementand Economics, vol. 30, no. 8, pp. 639-651, Aug. 2012.[17] A. Van Vianen, B. Dalhoeven and I. De Pater, “Aging and training and developmentwillingness: Employee and supervisor mindsets,” Journal Of Organizational Behavior, vol. 32,no. 2, pp. 226-247, Feb. 2011.[18] K. Buse, D. Bilimoria and S. Perelli, “Why they stay: Women persisting in US engineeringcareers”, Career Development International, vol. 18, no. 2, pp. 139-154, May 2013.[19] Y. Li and A. Peguero, “Professional Women's Dilemma between Work and Family: AnExamination of the ADVANCE Program,” Gender, Technology and
Paper ID #30380Understanding how Novice Indian Faculty Engage in Engineering EducationResearchMr. Javeed Kittur, Arizona State University Javeed Kittur is currently a doctoral student (Engineering Education Systems & Design) at Arizona State University, USA. He received a Bachelor’s degree in Electrical and Electronics Engineering and a Mas- ter’s degree in power systems from India in 2011 and 2014 respectively. He has worked with Tata Con- sultancy Services as Assistant Systems Engineer from 2011-2012, India. He has worked as an Assistant Professor (2014 to 2018) in the department of Electrical and Electronics