work supported by the National ScienceFoundation under Grant No. (NSF 1845979). Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. Support was also provided by Ms. CarolineCarpenter, the President of East Coast Construction Services and Executive Member of thePiedmont Chapter of the National Association of Women in Construction (NAWIC).ReferencesAssociation of American Colleges and Universities, “Facts and Figures: The income gaps inhigher education enrollment and completion,” AAC&U News – Insights in Campus Innovationsand Liberal Education, June/July 2018. [Online]. Available: https://www.aacu.org/aacu
Society of Civil Engineers. Civil Engineering Body of Knowledge: Preparing the Future Civil Engineer. 3rd ed. Reston, VA: American Society of Civil Engineers; 2019. https://ascelibrary.org/doi/book/10.1061/9780784415221.4. Structural Engineering Institute. A Vision for the Future of Structural Engineering and Structural Engineers: A Case for Change.; 2013. http://www.asce.org/uploadedFiles/visionforthefuture.pdf.5. Surovek A, Rassati GA. Is Structural Engineering Education Creating Barriers to Innovation and Creativity? In: 6th Structural Engineers World Congress. Cancun, Mexico: EERI; 2017.6. Sola E, Hoekstra R, Fiore S, McCauley P. An Investigation of the State of Creativity and
, M. Taylor, M. Hammerle, “Do International Students Appreciate Active Learning in Lectures?”, Australasian Journal of Information Systems, vol. 22, pp.1-14, 2018. [7] L. Deslauriers, L.S. McCartya, K. Miller, K. Callaghan, G. Kestin, “Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom”, Proceedings of the National Academy of Science, vol. 116, no.39, pp. 19251–19257, 2019. [8] M. Liebelt, S. Eglinton-Warner, W. Soong, S. Al-Sarawi, B. Ng, B. Phillips, M. Sorell, An Engineering Approach to Engineering Curriculum Design: 28th Australasian Association for Engineering Education (AAEE) Annual Conference (AAEE-2017
Paper ID #31472Exposure of undergraduate research students to entrepreneurialactivities to motivate future research careersProf. Ranji K Vaidyanathan P.E., Oklahoma State University Dr. Ranji Vaidyanathan is presently the Varnadow Professor of Materials Science and Engineering at the Helmerich Research Center at OSU Tulsa. He was previously the Director of the New Product Develop- ment Center (NPDC) and the Inventors Assistance Service (IAS) at Oklahoma State University. Dr. Vaidyanathan has eighteen U. S. patents and twenty-two pending patent applications. He has de- veloped six different products from concept stage to
," The International Journal of Human Resource Management, vol. 19, no. 9, pp. 1553-1568, 2008. [8] M. Sabharwal, "Job satisfaction patterns of scientists and engineers by status of birth," Research Policy, vol. 40, pp. 853-863, 2011.[9] S. N. Colakoglu, "The impact of career boundarlessness on subjective career success: The role of career competencies, career autonomy, and career insecurity.," Journal of Vocational Behavior, vol. 79, pp. 47-59, 2011.[10] M. A. Robinson, "How design engineers spend their time: Job content and task satisfaction," Design Studies, vol. 33, no. 4, pp. 391-425, 2012.[11] R. Garcia-Chas, E. Neira-Fontela and C. Varela-Neira
1 month after site visit 11. Office of Assessment distributes narrative report to 1 week after receipt of narrative report Department chair, Dean, and others involved in site visit; department distributes to program faculty and staff and initiates discussions regarding improvement 12. Office of Assessment meets with department chair Before November of next academic year and college dean to discuss recommendations and identify outcome(s) to be added to program’s IE plan. 13. Office of Assessment enters outcomes into IE plan. By December of next academic year 14. Department report on progress of outcomes annually. July 1st (annually)team. A team of 4 to 6 members - 2 to 3 external reviewers (at least
), by a NSF CAREER Award to C.L. (Grant No.DMR-1554435), by a NSF CAREER Award to A.S. (Grant No. DMR-1555153), a NSF Grant toN.H.P (Grant No. DMR-1945482), and by a NSF Grant to P.B. (Grant No. DMR-1709857). Thismaterial is based upon work supported by the National Science Foundation Graduate ResearchFellowship under Grant No. 1746047. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the authors and do not necessarily reflectthe views of the National Science Foundation.References [1] K. Thornton, S. Nola, R. Edwin Garcia, M. Asta, and G.B. Olson. Computational materials science and engineering education: A survey of trends and needs. JOM, 61(10):12–17, 2009. [2] R.A. Enrique, K. Thornton
. [Online]. Available: https://universaltechnews.com/it-ot-cybersecurity-convergence-arc- viewpoints-blog/.[5] J. Manyika and et. al., "Unlocking the Potential of the Internet of Things," McKinsey Global Institute, McKinsey and Company, June 2015.[6] THECB, "Lower-Division Academic Course Guide Manual," Texas Higher Education Coordinating Board, Austin, TX, 2019.[7] Center for Academic Cyber Defense, "2019 Knowedge Units," [Online]. Available: http://www.iad.gov/NIETP/documents/Requirements/CAE- CD_2019_Knowledge_Units.pdf. [Accessed 2020].[8] ABET, "Criteria for Accrediting Computing Programs, Effective for Reviews During the 2020-2021 Accreditation Cycle," ABET, Inc., Baltimore, 2019.[9] J. K. Nelson, D. Davis, S. Smith and M
, c, d, a, c, d, b, d 15References[1] H.R. Goldberg and C.D. Hanlon, “The Knowledge Paradox: The more I know, the less I canclearly explain,” Medical Education 53:13-14, 2019.[2] M. Prince, “Does Active Learning Work?” Journal of Engineering Education, Vol 93, Issue3, pp 223-231, July 2004.[3] S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, and M.P.Wenderoth, “Active learning increases student performance in science, engineering, andmathematics.” Proceedings of the National Academy of Sciences, 111(23), 8410–8415, 2014.http://www.pnas.org/content/111/23/8410[4] S.J. Dickerson, R.M. Clark, and A. Jain, (2017) No
following potential impediments on their likelihood ofinfluencing the tenure process: • Teaching load requirements, • Expectation of peer-reviewed journal publications, • Service expectations, • Availability of funds for research in their fields • Appreciation for area of research by tenure review committee(s) • Competition within department for funds, • Availability of Teaching Assistants (TA) to assist with grading, • Availability of students to employ as researchers, • Quality of students to employ as researchers, • Availability of faculty mentoring, • Quality of faculty mentoring, • Interdepartmental politics, and • Managing work-life balanceResultsThe responses to the survey were collected
executable and choosing which tools to use. The next phase entailed identifying 3how the executable functioned and how to isolate malicious segments of code. Finally, studentsimplemented and tested their own additional modifications. Most students do not have previous experience with reverse engineering binary executables,so the first step is an exploration of the different tools available for reverse engineering software.A preliminary search reveals both IDA (particularly IDA Pro) and BinaryNinja as the most usedplatforms. Free demo versions are available for both softwares, and these are the ones most usedby students. Once a platform(s) is chosen, students must explore what settings and views
, while eliminating its most unpopular portion and reducing the workload associated withgrading.[1] A. Kolmos and E. de Graaff, “Problem-Based and Project-Based Learning in Engineering Education,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. E. Olds, Eds. Cambridge University Press, 2014, pp. 141–160.[2] J. W. Thomas, “A review of research on project-based learning,” 2000.[3] P. C. Wankat, “The Role of Homework,” ASEE Conf. Proc., 2001.[4] P. C. Wankat and F. S. Oreovicz, “Testing, homework, and grading,” in Teaching Engineering, 1st ed., McGraw-Hill College, 1993, pp. 213–234.[5] J. Widmann and K. Shollenberger, “Student use of Textbook Solution Manuals : Student and Faculty
. Raspberry Pi #1 (located on the robot) read the room information, actuated themotors, and collected and processed images of the warehouse. Raspberry Pi #2, which handledall of the path planning and tweeting to indicate the start and end of the challenge. These are justthree examples of the seven different ways students in the distributed-expertise section stitchedtogether their knowledge to solve the warehouse robot challenge. Figure 4: Three Example System Diagrams for Warehouse Robot ProjectTable 3 below summarizes the solution diversity data based on our qualitative analysis of thefinal project submissions and the availability of examples for each section. These data aredescribed using a none-few-some-many s cale to qualitatively
andInterpret the Results", Interaction Design Foundation. [Online]. Available:www.interaction-design.org/literature/article/stage-2-in-the-design-thinking-process-define-the-problem-and-interpret-the-results.[10] M. Ovando, "Constructive Feedback", International Journal of Educational Management,vol. 8, no. 6, pp. 19-22, 1994.[11] A. Bandura, "Self-Efficacy", in Encyclopedia of Human Behavior, 4th ed., V.Ramachaudran, Ed. New York, NY: Academic Press, 1994, pp. 71-81.[12] S. Dalton (2012). The 2-Hour Job Search (1st ed.). New York, NY: Ten Speed Press.[13] S. Iyengar and M. Lepper, "When choice is demotivating: Can one desire too much of agood thing?", Journal of Personality and Social Psychology, vol. 79, no. 6, pp. 995-1006, 2000.
developed to further the adoption of energy-saving options in middle- to low-income communities. Example activities for project output 5 (ongoing as of Spring 2020) include:implementing formative research study activities, including interviews and survey(s); development ofmessage maps for specific target audiences (e.g. homeowners, small contractors, etc.); anddevelopment of social marketing promotional materials. Students in Mercer University’s GreenEngineering course are introduced to social marketing and messaging maps, studying numerous casestudies related to the environment, and participating in the development of this project output.Figure 3: an example Message Map developed to promote household energy efficiencyand low-cost solar PV systems
, Recurrent Neural Networks with Python Quick Start Guide: Sequentiallearning and language modeling with TensorFlow, Packt Publishing (2018). ISBN-13: 978-1789132335.[12] Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd ed.,A Bradford Book (2018). ISBN-13: 978-0262039246.[13] Maxim Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods, withdeep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, PacktPublishing (2018). ISBN-13: 978-1788834247.[14] François Chollet, Deep Learning with Python, 2nd ed., Manning Publications (2017). ISBN-13: 978-1617294433.
Paper ID #28539the D and F Ionosphere Layers: Why are AM Broadcast Signals Mostly LocalDr. Paul Benjamin Crilly, U.S. Coast Guard Academy Paul Crilly is a Professor of Electrical Engineering at the United States Coast Guard Academy. He re- ceived his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Polytechnic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Com- puter Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include laboratory development, antennas
Jan. 29, 2020].[4] D. Litwhiler, “A Two Semester, Multi-Approach Instrumentation Project for Mechanical Engineering Students,” in Proc. of the ASEE Annual Conference & Exposition, 2015, Seattle, WA, USA, [Online], available https://peer.asee.org/23470. [Accessed Jan. 29, 2020].[5] S. Kiefer, “Preparing Mechanical Engineering Students for Senior Design Projects with Electronics Components,” in Proc. of the ASEE Annual Conference & Exposition, 2007, Honolulu, HI, USA, [Online], available https://peer.asee.org/2873. [Accessed Jan. 29, 2020].[6] Sill, Robert D., Kim, Sang H., “Accelerometer Shock Sensitivity Calibration Using a Pneumatic Exciter,” 77th Shock and Vibration Symposium, November 2006
continuum of rhetorical awareness,” IEEE Transactions on Professional Communication, vol. 51, no. 3, pp. 242–263, 2008.3. N. Artemeva, “Stories of becoming: A study of novice engineers,” in Genre in a Changing World, C. Bazerman, A. Bonini, and D. Figueiredo, Eds. Fort Collins, CO: WAC Clearinghouse, 2009.4. R. Bercich, S. Summers, P. Cornwell, and J. Mayhew, “Technical Communication Across the ME Curriculum at Rose-Hulman,” 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018, June.5. J. Meyer and R. Land, Overcoming barriers to student understanding: threshold concepts and troublesome knowledge. London: Routledge, 2012.6. H. Estrem, “Threshold concepts and student learning outcomes,” in Naming what we know
-maze for this project.References[1] J. W. Grice, P. T. Barrett, L. A. Schlimgen, and C. I. Abramson, "Toward a brighter future for psychology as an observation oriented science," Behavioral Sciences, vol. 2, no. 1, pp. 1- 22, 2012.[2] O. S. Collaboration, "Estimating the reproducibility of psychological science," Science, vol. 349, no. 6251, p. aac4716, 2015.[3] J. B. Sidowski, "Experimental methods and instrumentation in psychology," 1966.[4] R. Scheiner et al., "Standard methods for behavioural studies of Apis mellifera," Journal of Apicultural Research, vol. 52, no. 4, pp. 1-58, 2013.[5] C. Varnon, H. Lang, and C. I. Abramson, "Automated research in comparative psychology: Limitations and new directions," Ярославский
Society for Engineering Education, 2020Undergraduate STEM Students’ Role in Making Technology Decisions forSolving Calculus Questions and the Impact of These Decisions on LearningCalculus 1 Emre Tokgöz, 1Berrak S. Tekalp, 1Elif. N. Tekalp, and 2Hasan A. Tekalp1 Emre.Tokgoz@qu.edu, 1Berrak.Tekalp@qu.edu, 1Elif.Tekalp@qu.edu, 2Hasan.Tekalp@qu.edu 1 Industrial Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 065182 Mechanical Engineering, School of Engineering, Quinnipiac University, Hamden, CT, 06518 1. IntroductionThere are challenging problems in STEM research that can be solved by using differenttechnologies. STEM students are usually expected to have a good
, 2019).[2] Kathiresan, S. and Echempati, R., Structural Analysis and Design Modification of Seat Rail Structures in Various Operating Conditions, SAE Technical Paper 2020-01-1101, 2020, https://doi.org/10.4271/2020-01-1101.[3] Patil, N.R., Kulkarni, R.R., Mane, B.R. and Malve, S.H., Static analysis of Go-Kart Chassis frame by Analytical and SolidWorks Simulation, International Journal of Scientific Engineering and Technology, 3(5), pp. 661-663, 2014.[4] Chen, Y.D., Bao, Z.Q., Ren, H.J. and Wang, Y.X., Finite Element Analysis for Product Design Based on SolidWorks Simulation, Computer technology and development, 2012-09.[5] Li, Q.S., Guo, L.J., Wang, W.B., Fan, J.Z. and Su, R.R., Fatigue analysis of head board of
process is as follows: • Early-stage discussion between faculty and university/school leaders with the objective of encouraging the free-flow of ideas at this early stage. • Decision process communicated by leaders to faculty with clarity around expected processes of decision making. For example, which groups are active participants in the decision-making process? Which groups will be consulted and will serve in an advisory capacity? What will the feedback loop look like after the decision is made? • Follow-up report after decision making provided by leaders to faculty to explain the rationale for the decision(s) made.Further, the idea of Town Hall is grounded in the principles
to apply concepts presented in lectures. • Combining Analysis and Design: future work is underway to streamline the course and evaluate other programs that teach both analysis and design into one course. We will identify the most critical topics needed for teaching both analysis and design, match the topics with the more interesting case studies, and create new ones in some cases, to continue enhancing student understanding and learning of structural analysis and design. Future work also includes tracking student performance in subsequent and more advanced classes.References[1] S. Singer and K.A. Smith, Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate
. ofAcad. Librarianship, vol. 41, no. 5, 613-620, Sept. 2015, doi: 10.1016/j.acalib.2015.06.022.[7] D. Ahmadieh, S. Nalbandian, and K. Noubani, "A comparative citation analysis study ofmasters' theses at the American University of Beirut, Lebanon," Collection Build., vol. 35, no. 4,103-113, Oct. 2016, doi: 10.1108/CB-06-2016-0013.[8] D. K. Abeyrathne, "Citation analysis of dissertations for collection development," CollectionBuild., vol. 34, no. 2, 30-40, Apr. 2015, doi: 10.1108/CB-11-2014-0055.[9] ProQuest dissertations & theses global brochure.https://www.proquest.com/documents/ProQuest_Dissertations_Theses_Global_Brochure.html.[10] C. Cole, A. R. Davis, V. Eyer, and J. J. Meier, "Google Scholar's coverage of theengineering literature 10
characterized simultaneously by multiplesocial identity categories, these categories are intertwined and linked to each other, there is anelement of power or inequality embedded within each category, and these categories characterizenot only a person’s social identity[s] but also the person’s ever-changing social context. Ourstudy is informed by the concept of intersectionality in two ways: first, as a theory to guide theidentification of constructs and the creation of scale items to probe those constructs and, second,as a methodological approach to analyze data based on the survey respondents’ multipledemographic identities.Diversity in the Engineering Professoriate. A literature review indicated that most studies offaculty diversity aggregate
-institute-and-deloitte-skills-gap-in-manufacturing-study.pdf.Giffi, Craig, Michelle Drew Rodriguez, and Sandeepan Mondal. “A Look Ahead: How ModernManufacturers Can Create Positive Perceptions with the US Public,” 2017, 24.http://www.themanufacturinginstitute.org/~/media/9607397D3AFC423AB68133505EE2C348/2017_US_Public_Perception_Manufacturing_Study.pdf.Krause, Liesl, and Greg J Strimel. “The Next Generation for Manufacturing Competitiveness?Children’ s Perceptions as Shown Through Drawings the Next Generation for ManufacturingCompetitiveness? Children’s Perceptions as Shown Through Drawings.” In 126TH AnnualConfrence & Exposition. Tampa, Florida: ASEE, 2019.https://www.asee.org/public/conferences/140/papers/26206/view.Rosendin, Nadine, and Anne
://pages.olin.edu/isim). Students learn touse an oscilloscope, a function generator, and a network analyzer using the Analog Discoverysoftware. The modules are presented in approximate order of increasing complexity. Over thecourse of the semester, students develop the understanding, skills and knowledge to achieve thecourse learning outcomes. Table 1 below lists the topics of the modules and the associatedlearning goals.Table 1. A list of the module topics and their learning goals. Module Topics Learning goal(s) 1 A simple pendulum (lab) Measure the change in pendulum angle with time using a potentiometer as a position sensor; solder components onto a printed
. As such, we are continuing this study into the next academic year,2020/2021, with better research strategies learned from this pilot study.AcknowledgmentMirna Mattjik thanks the Engineering, Design, and Society Division and Megan Sanders thanksthe Trefny Innovative Instruction Center.References[1] J. S. Eccles and A. Wigfield, "Motivational Beliefs, Values and Goals," Annual Review Psychology, vol. 53, pp. 109-131, 2002.[2] E. L. Deci and R. Flaste, Why We Do What We Do, New York: Penguin Group, 1995.[3] "KEEN Engineering Unleashed," Kern Entrepreneurship Engineering Network, [Online]. Available: https://engineeringunleashed.com/. [Accessed 29 01 2020].[4] A. Edmondson, "Psychological Safety and Learning Behavior in Work Teams
designed in the early 1980’s to reduceemissions by monitoring the performance of major engine component. The major component ofthe OBD is the Electronic Control Unit (ECU, Figure 3(a)), which receives inputs from varioussensors and control the actuators. OBDs provide digital trouble codes (DTCs) that can beaccessed via the Digital Link Connector (DLC, Figure 3(b)). (a) Components of OBD (b) OBD-II Port Figure 2. On-board Diagnostics (OBD)The latest version of OBD is OBD-II, which is available on all cars and light trucks built since1996. The OBD-II standard specifies the type of diagnostic connector and its pinout, theelectrical signaling protocols available, and the messaging