-0.03 -0.02 -0.01 0 0.01 0.02 0.03 0.04 Rotation Rotation Figure 5. Comparison between experiment and OpenSees output, (a) pre- and (b) post-PSO analysis The PSO results are taken as the initial parameter set of MCMC, and the total simulationnumber is selected to be 10000. Figure 6 present the probability density of all parameters giventhe observation of the experiment measurements. It can be overserved that parameters like đžđž andđđđŚđŚ+ and đđđŚđŚâ have smaller variance when compared with the rest parameters such as
., & Prime, G. M. (2012). Supporting STEM education in secondary science contexts. Interdisciplinary Journal of Problem-Based Learning, 6(2), 85â125.[11] Griese, B., Glasmachers, E., Härterich, J., Kallweit, M., & Roesken, B. (2011). Engineering students and their learning of mathematics. In Current state of research on mathematical beliefs (pp. 85â96).[12] Rach, S., & Heinze, A. (2011). Studying mathematics at the university: The influence of learning strategies. Presented at the 35th Conference of the International Group for the Psychology of Mathematics Education, Ankara, Turkey.[13] Hmelo-Silver, C. E., Duncan, R. G., & Chinn, C. A. (2007). Scaffolding and achievement in problem-based and inquiry learning
Psychology at Miami University. She earned her Ph.D. in Psychology from the University of Illinois at Urbana-Champaign. Dr. Summerville is a social psychologist whose research examines how thoughts of âwhat might have beenâ affect emotion, motivation, and behavior. She is the PI of a grant from NSFâs EEC division investigating new interventions in engineering education that utilize social cognitive psychology.Dr. Brian P Kirkmeyer, Miami University Brian Kirkmeyer is the Karen Buchwald Wright Senior Assistant Dean for Student Success and Instructor in the College of Engineering and Computing at Miami University in Oxford, Ohio. His background includes BS, MS and PhD degrees in Materials Science and Engineering
University in theirjunior year and retention in the Engineering and STEM majors. Cohort 3 Jump Start students willenroll in May 2019. After all three cohorts have been enrolled and tracked through the entranceto major, future analyses can examine whether the program had a differential effect on studentsas a function of gender, race/ethnicity, and first-generation status. ReferencesBailey, T., & V. Morest. 2006. Defending the Community College Equity Agenda. Baltimore MD: John Hopkins University Press.Berger, J. B., & Malaney, G. D. (2003). Assessing the transition of transfer students from community colleges to a university. NASPA Journal, 40(4).Cohen, A. M., & Brawer, F. B. (2003). The
, while others weremore. However, what empowered these women in those environments are the abovequalities/features of their experiences in ESPTs. In one way or another, these women wereempowered to respond in a way that transformed that environment, despite the pervasiveness ofsexism. Although the results herein present three stories from one university, we are expandingour study. We are currently interviewing women leaders in ESTPs from Kansas State University,a four-year land-grant institution in the Midwest. The preliminary results highlight many of thesame themes in the thematic passage presented herein.References[1] P. Meiksins, P. Layne, K. Beddoes, B. Acton, M. Lewis, A. Masters, and M. Roediger, âAcompendium of the SWE annual literature
the years and changes in society the needs of the work force have changed, which alsochanges the demand for certain degrees at the collegiate level. The information provided fromForbes describes the top five worst degrees based on unemployment rates for recent graduates[22]. 1. Anthropology and Archeology a. Unemployment rate: 10.5% b. Median earnings 28k 2. Film, Video, and Photographic Arts a. Unemployment rate: 12.9% b. Median earnings 30k 3. Fine Arts a. Unemployment rate 12.6% b. Median earnings 30k 4. Philosophy and Religious Studies a. Unemployment rate 10.8% b. Median earnings 30k 5. Liberal Arts a. Unemployment rate 9.2% b. Median earnings 30kThe combination of the
Academies Press.[2] National Academy of Engineering (NAE). (2005). Educating the Engineer of 2020: Adapting engineering education to the new century, Washington, DC: National Academies Press.[3] âASME Vision 2030: Creating the Future of Mechanical Engineering Education,â Executive Summary, ASME Board on Education, go.asme.org/v2030, September 2012.[4] American Society of Civil Engineers, âAchieving the Vision for Civil Engineering in 2025,â ASCE, Reston, VA, August 2009.[5] R. Graham, E. Crawley, and B. Mendelsohn, Engineering leadership education: A snapshot of international good practice. Cambridge, MA: Bernard M. Gordon MIT Leadership Program, 2009.[6] S. Pitts, S. McGonagle, S. Klosterman, Developing Engineering Leaders using
Figure 2 serves to reinforce the topics of 3D orientation, extrusion symmetry, draft angles, andsketch constraints. This is a typical assignment in the third week. Figure 2: Example Sketch & Extrude AssignmentThe following in-classroom cases are witnessed: ⢠Student A believes he/she has met all five grading criteria prior to class start or during class time. An available evaluator evaluates the work and finds no mistakes. Student A may exit the class. This is the quickest case, and the evaluation process ranges from 30 â 180 seconds per assignment. ⢠Student B believes he/she has met all five grading criteria prior to class start or during class time. An evaluator is not free, as all are
potentially choose to lower the teamâs highest grade to a B if they bypassed thePCB design aspects of their project and developed the prototype using off-the-shelf developmentboards and modules. Interfacing these units would require far less time but could still providethe sponsor with a fully functioning prototype. More projects could be conducted, if many of theprojects did not require significant time commitments of the faculty advisor and course directornecessary to review the schematic capture and board layout presentations that each team Proceedings of the 2019 Conference for Industry and Education Collaboration Copyright Š2019, American Society of Engineering Education
nearly 200 working definitions of service-learning, the definition offered by Bringle and Hatcher [2] is the most encompassing and widelyadopted. In this, service-learning is identified as a âcourse-based, credit bearing educationalexperience that allows students to (a) participate in an organized service activity that meetsidentified community needs and (b) reflect on the service active in such a way as to gain furtherunderstanding of course content, a broader appreciation of the discipline, and an enhanced senseof civic responsibility (p. 112).â Clearly, it is key that the service efforts with the partner bereciprocal and mutually valued, connected and committed to advancing the learning goals of thecourse, and include critical reflection
, âRepresentation use and strategy choice in physics problem solving,â Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 8, no. 2, Nov. 2012.[16] P. B. Kohl and N. D. Finkelstein, âEffects of representation on students solving physics problems: A fine-grained characterization,â Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 2, no. 1, May 2006.[17] N. M. McNeil and E. R. Fyfe, ââConcreteness fadingâ promotes transfer of mathematical knowledge,â Learn. Instr., vol. 22, no. 6, pp. 440â448, Dec. 2012.[18] V. M. Williamson, M. Hegarty, G. Deslongchamps, Williamson K.C., and M. J. Schultz, âIdentifying Student Use of Ball-and-Stick Images versus Electrostatic Potential Map Images via Eye Tracking,â J. Chem. Educ., vol. 90, no. 2, pp. 159â164
â, and âLymphomasâ.Assessment techniques include student-based surveys (included in Appendix B) conducted at theend of each class (both cohorts) when a game was played in the experimental cohort, pre- andpost-quizzes, intervention vs. comparison group statistical analysis, and course evaluations. Inthis way, technical knowledge as well as students experience with games in the past and theirperception of their effectiveness was evaluated.The focus of this study was utilizing concurrent cohorts comprised of two (2) sections of anundergraduate, Introduction to Environmental Engineering course. One section of the class wastaught utilizing traditional active learning techniques (think-pair-share, group discussion) as wellas the direct transmission
student outcomes as well as to evaluate the datathrough the context of the Technological Pedagogical Content Knowledge (TPACK) andConstructivist theoretical models.Beginning in the fall of 2018, a 200-level mechanical/aerospace course, Statics, was taught bythree different faculty members at a large university in the Southwest. Each of these sectionswere taught in different ways: (a) traditional lecture format, (b) flipped style classroom, and (c)mixed version, which utilized videos created for the flipped classroom as supplemental materialbut delivered course content primarily through lecture style. Student-level data were collected forall three of the Statics sections of interest in this study. Data were analyzed to determine ifstudents
. Industry partnersâ assessments of participating students and the collaboration4. Studentsâ weekly and final reports, including reflective writing assignments5. Studentsâ research presentations6. Group interviews with participating faculty7. interviews with participating undergraduate students,8. Formal project implementation reviewEvaluation question 1: What were the effects of the summer research experiences on theparticipating undergraduate students?A. How successful was the project in recruiting and supporting students from underrepresentedgroups?B. How do the participants understand research in the context of engineering, and anysimilarities or differences between academic and industrial research?C. How do the participants describe
. Also, though insightwas gained into engineering leadership styles, it is unknown to what extent these styles compareto those employed in other disciplines. In order to improve upon this study, a larger sample ofengineers as well as individuals in additional disciplines could be considered. Using aquantitative approach, established leadership assessment tools could be used to determinedifferences in leadership behaviors across disciplines. This comparative approach may serve tofurther enhance the understanding of leadership within an engineering context.References[1] Hartmann, B. & Jahren, C. (2015). Leadership: industry needs for entry-level engineering positions. Journal of STEM Education, 16(3),. Laboratory for Innovative
, development, and evolution ofstudent-focused programs can be applied broadly across different contexts and targetpopulations.References[1] N. Lin, Social Capital: A Theory of Social Structure and Action, Cambridge, UK: Cambridge, 2004.[2] A. Cooper, The Inmates are Runing the Asylum: Why High-Tech Products Drive Us Crazy and How to Restore the Sanity, Indianapolis IN: SAMS, 1999.[3] "Personas," Open Design Kit, 2017. [Online]. Available: http://opendesignkit.org/methods/personas/.[4] T. Adlin, H. Jamesen and T. Krebs, "Fake People and Sticky Notes: Fostering Communication for Human-Centered Software Design," Akamai Technologies, Inc., Seattle WA.[5] S. B. Merriam and R. S. Grenier, Qualitative Reserach in Practice: Examples for
results. The authors notethe following limitations of the study: (a) small sample size; (b) self-developed survey instrument;(c) convenient sampling procedure.IV. RESULTSCase 1The first segment of the administered survey inquired how undergraduate students joined thepiloted research group. The survey responses consisted of three items: actively sought anopportunity; invited by current/past group members; recruited by the faculty advisor. Primaryresults, as displayed in Table 2, indicate that 63.64% of the students on the piloted research groupactively sought an opportunity to engage in undergraduate research, while 36% of the participantswere invited by the faculty advisor. None of the undergraduate students in the group were invitedby a past or
production B-105Lighting the Way, the Boba Straw Lamp BBH - 364 Arduino Circuitry LWH - 3105 Underwater ROV exploration FA - 107 Underwater ROV exploration FA - 107 Folding, Fanning, Flying! BBH - 360 Building a Robotic Arm BBH - 113 Build a Spinning Motor! B - 158 Launching Rockets ⌠Sky is the limit BBH - 112 Building a Robotic Arm BBH - 113 Charging the battery with the Sun
provide additional context and information, and also help the teams develop theircollaborative skills and senses of team identity.The final deliverables for the project are (a) an individual report from each student(specifically addressing how the teamâs proposed intervention is informed by the researchthat student performed in the literature review), as well as (b) a group-prepared poster andpresentation to the combined class. Non-presenting students are designated as potentialâinvestorsâ for each project, therefore accountable for posing questions about the proposedresearch and development (R&D) â from schedule and budget to underlying assumptions toquestions about cultural sensitivity and implementation. In Figure 3, representative
Study (HMS). The aim of this study is to answer the following research question: How doesthe presence of (a) self-sufficiency, (b) sense of belonging, and/or (c) social self-efficacy impactan SEM graduate studentâs mental health?Attention to the mental health of students in higher education has grown in recent years. Prior workhas shown that several factors can influence an individualsâ mental health, including, but notlimited to, a studentsâ demographics, social factors, available resources, values, motivation, andacademic discipline. The purpose of this study is to focus specifically on how social aspects caninfluence graduate studentsâ mental health, or mental and emotional well-being. Therefore, thispaper will pull on past work that has
â orientation to social responsibility influenced theirexpectations of academic curricular? b. How have the studentsâ orientation to social responsibility influenced theirexpectations of faculty engagement?A thematic analysis will be used to analyze the interview data [10]. The results of the survey andthematic analysis will be used to propose several interventions, with a target fall 2019implementation.References[1] National Academies of Sciences, Engineering, and Medicine, âQuality in the UndergraduateExperience: What Is It? How Is It Measured? Who Decides? Summary of a Workshop,â TheNational Academies Press, Washington, D.C., 2016.[2] B. Cook and Y. Kim, âFrom soldier to student: Easing the transition of service members oncampus,â Lumina
collaborate, to be creative and to connect with a much broader community. Furtherresearch on how these experiences influence studentâs sense of belonging to a post-secondaryacademic community along with their self-concept as engineers, problem-solvers and designerswould be beneficial.References[1] B. Bevan, âThe promise and the promises of making in science education,â Studies in ScienceEducation, Vol 53(1), pp 75â103, Jan. 2017.[2] M. Resnick and E. Rosenbaum, âDesigning for tinkerabilityâ in Design. Make. Play:Growing the next generation of STEM innovators, M. Honey and D. Kanter, Eds., New York:Routledge, 2013, pp. 163â181.[3] B. Bevan, J. Ryoo, A. Vanderwerff, M. Petrich and K. Wilkinson, âMaking deeper learners: Atinkering learning dimensions
andindustrial chemistry; biochemistry, medicine and surgery. (a) (b) Figure 2: Correlation coefficient of UME chemistry scores for the Chemistry based courses in public universities in Enugu State Nigeria As shown in Figure 2, the predictive validity indices for biochemistry in Federal and StateUniversities are as follows: 0.11 and 0.18 for industrial chemistry, 0.37 and 0.02 for medicineand 0.14 and 0.13 for surgery. These are interpreted to mean that for biochemistry, there is weakpositive relationship in both the Federal and State Universities between studentsâ UME scores inchemistry and their first year scores. In industrial chemistry, while there is weak
unique open-ended feature. âIn most of schooling, you go from A to B, but in STEM, students are choosingtheir own path to get to B,â said one teacher Stiefel interviewed; âIn my class, how students aregoing to get there is up to them. Thereâs a lot of trial and errorâ [7]. So, spurring high schoolstudents to think like engineers necessitates inducing an open-ended, creative, iterative, anddesign-oriented mindset.Among best practice approaches that induce an engineering mindset in learners is the Design,Build, Test (DBT) pedagogy whose key attributes are outlined by Elger, et al [8]. DBT curriculamust 1) be fun and motivating; 2) meet educational objectives; 3) include a major modelingcomponent; 4) include aspects of engineering practice [CAD
Journal of Engineering Education, vol. 29, no. 4, pp. 914-925, 2013.[4] P. A. Daempfle, "An Analysis of the High Attrition Rates Among First Year College Science, Math, and Engineering Majors," Journal College Student Retention, vol. 5, no. 1, pp. 37-52, 2003.[5] R. M. Marra, K. A. Rodgers, D. Shen and B. Bogue, "Leaving Engineering: A MultiâYear Single Institution Study," Journal of Engineering Education , vol. 101, no. 1, pp. 6-27, 2012.[6] M. Rose, B. Bogue, D. Shen and K. A. Rogers, "Those that Leave: Assessing Why Students Leave Engineering," in Proceedings of the 37th ASEE/IEEE Frontiers in Education Conference, Honolulu, 2007.[7] S. Haag, N. Hubele, A. Garcia and K. McBeath, "Engineering
collaborations become exercises in social consciousness.LTU had two goals in developing the introductory and intermediate GCSP curriculum: a) toallow the GCSP paradigm to emanate as broadly outside the confines of the program members aspossible, and b) progressively to winnow cohorts of Grand Challenges students focused onspecific Grand Challenge senior projects. Those Grand Challenge projects are further supportedprogrammatically with liberal arts research seminars developed in collaboration with their STEMfaculty mentors. Grand Challenges students working on senior projects in the areas of climatechange or alternative energy can take the GCSP Political Science seminar âThe Geopolitics ofNatural Resourcesâ and find case studies directly related to
on Present Worth, Annual Worth, and Future Worth: 62 and 1 month: $1642 per month 67: $2418 per month 70: $3057 per monthAssume the individual lives until they are 85 years old (i.e., they die on their 85th birthday).Assume Social Security does not run out of money.Assume an 8% MARR (i.e., time value of money interest rate).Assume payments received at the end of the month (i.e., they get the last payment). b) Use Excel to determine the âoptimalâ choices for a âdeathâ at age 62 and 1 month until 100 years old. (I apologize for the morbidity of this question.)Hint: It may be better to do this (visually) with a line graph, after creating a table of monthly cashflows and then calculating PWs based on ages.Assume Social
fracture toughness and impact toughness of laser rapid manufactured Inconel-625 structures and their co-relation," Materials & Design, vol. 59, pp. 509-515, 2014.[11] D. A. Roberson, A. R. T. Perez, C. M. Shemelya, A. Rivera, E. MacDonald, and R. B. Wicker, "Comparison of stress concentrator fabrication for 3D printed polymeric izod impact test specimens," Additive Manufacturing, vol. 7, pp. 1-11, 2015.[12] A. J. Brooks et al., "Neutron interferometry detection of early crack formation caused by bending fatigue in additively manufactured SS316 dogbones," Materials & Design, vol. 140, pp. 420-430, 2018.[13] A. Haghshenas and M. Khonsari, "Evaluation of fatigue performance of additively
the Advancement of Engineering Education. Center for the Advancement ofEngineering Education.Brozina, C. (2018). Measuring commuter student support and success through academicintegration. In 2018 IEEE Frontiers in Education (FIE) (pp. 1-4). San, Jose, CA. IEEE.Chen, Y., Johri, A. & Rangwala, H. (2018). Running Out of STEM: A Comparative Study acrossSTEM Majors of College Students At-Risk of Dropping Out Early. Proceedings of LearningAnalytics and Knowledge (LAK).Duck, S. (1991). Diaries and Logs. In B. Montgomery & S. W. Duck (Eds.) StudyingInterpersonal Interaction. Guilford: New York, 1991. pp 141-161.Johri, A. (2019). The Age of Analytics. ASEE Prism, 28 (6), 21-21Johri, A. (2018). Absorptive Capacity and Routines: Understanding
, design activity, and design outcome," Design Studies, vol. 26, no. 6, pp. 649-669, 2005.[6] M. C. Yang, "Concept generation and sketching: Correlations with design outcome.," in ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2003.[7] B. M. Linder, Understanding estimation and its relation to engineering education, Doctoral dissertation, Massachusetts Institute of Technology, 1999.[8] D. Woods, "Teaching Problem Solving Skills," Engineering Education, vol. 66, no. 3, pp. 238-243, 1975.[9] C. Maker, "DISCOVER: Assessing and developing problem solving," Gifted Education International, vol. 15, no. 3, pp. 232-251, 2001.[10] H. L. a. A. Hosoi, "Starting