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Displaying results 1141 - 1170 of 1693 in total
Conference Session
Dynamic Pedagogies for Engineering Dynamics
Collection
2018 ASEE Annual Conference & Exposition
Authors
Steven C. Zemke, Whitworth University; Diane L Zemke
Tagged Divisions
Mechanics
recognition and solving handout shown in Appendix B.  Journal 5: How has your note-taking changed? How has it affected your ability to recognize and solve problems?  Journal 6: At the end of the course, students completed a short questionnaire, enabling them to reflect on their participation and to offer suggestions for improvement. The questionnaire content is included in Appendix A.The data from the journal prompts and the questionnaire is included in the Results section below.MethodsThis naturalistic study was conducted within the class as described above. The journals, whichwere simply a part of the normal structure of the class, were collected as data. These journalswere analyzed using qualitative methods. Since
Conference Session
Engaging Faculty Across Disciplines, Colleges, and Institutions
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jack Bergquist, California Polytechnic State University, San Luis Obispo; Anahid Behrouzi, California Polytechnic State University, San Luis Obispo
Tagged Topics
Diversity
Tagged Divisions
Multidisciplinary Engineering
students that leave the project dueto loss of interest.Student Perspectives:Currently there are two active structural engineering undergraduate students on the project (SEStudent 1 & 2). Each student was interviewed for their perspective on the project, and how itprovides a unique experience in their engineering development. A third student (SE Student 3)who had been on the project and moved onto other unrelated research activities with the SEFaculty, was also interviewed. The student interview questions for the SE students is inAppendix B; these questions were modified into an emailed survey form with five-point Likertscale and free response questions for the two undergraduate CS students currently on the project.The following section of the
Conference Session
Minorities in Engineering Division Technical Session 3
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jessica Symone Whipple, Kennesaw State University; Shelbie P. Prater, University of Michigan; Joi-lynn Mondisa, University of Michigan
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
stated:“Before I got into this program, I really didn't think that much of engineering because in school Itook a physics class and that class was a great struggle for me. So, I came out with a B- in thatclass so I don't really know how I would feel about trying to pursue this career for myself. Forothers it seems like a cool experience”.This meant that while she did not want to pursue a degree in engineering, she took note of theparticipants who did want to be and learned much more about it in the process. Participants weresurprised to learn that engineering can be applied to many aspects of society.DiscussionIn reviewing the study’s findings, it appears that the Wolverine Pathways participants learnedmore about engineering and now have more
Conference Session
NSF Grantees Poster Session
Collection
2018 ASEE Annual Conference & Exposition
Authors
Catherine Cohan, Pennsylvania State University; Pradip K. Bandyopadhyay; Amy L. Freeman Ph.D., Tufts University; Ryan Scott Hassler; Mark William Johnson, Pennsylvania State University, Altoona Campus; Mikhail Kagan, Pennsylvania State University, Ogontz Campus; Ann Marie Schmiedekamp; Peter J. Shull, Pennsylvania State University, Altoona Campus
Tagged Topics
Diversity, NSF Grantees Poster Session
(a) increase retention in Engineering among raciallyunderrepresented students in the Pennsylvania State University system, (b) develop long-termsustainability plans for these enrichment programs, and (c) compare retention rates inEngineering depending on whether students attended a summer academic enhancement programat the regional campus they attend in the fall or at a different campus and whether they transferbetween campuses within the University system (native students vs. 2+2 students).Method: Students in the summer bridge programs for incoming first-year students and risingsophomores attend 4- or 6-week summer programs that provide math-intensive curriculum, theapplication of Engineering concepts, and the development of a cohort
Conference Session
Engaging Faculty Across Disciplines, Colleges, and Institutions
Collection
2018 ASEE Annual Conference & Exposition
Authors
Bruce E Dunne, Grand Valley State University; Paul Keenlance, Grand Valley State University
Tagged Divisions
Multidisciplinary Engineering
, Indianapolis, Indiana. https://peer.asee.org/20633.3. Jack, H. & Pung, C. P., (2009, June), A Web Based Approach To Senior Undergraduate Project Management, Paper presented at 2009 ASEE Annual Conference & Exposition, Austin, Texas. https://peer.asee.org/5467.4. Hillman, T. L., Keenlance, P., Moore, J. A., Swanson, B. J., Jacquot, J. J., Witt, J. C., & Cornman, A., (2017), Genetic diversity of reintroduced American martens in Michigan's Lower Peninsula, Journal of Mammalogy. 98. 10.1093/jmammal/gyx075.5. VonEhr K., Hilaski, S., Dunne, B. E., & Ward, J., (2016, May), Software Defined Radio for Direction- Finding in UAV Wildlife Tracking, Paper presented at 2016 IEEE International Conference on Electro
Conference Session
Mathematics Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Paul L. Goethals, United States Military Academy; Karoline Hood, United States Military Academy
Tagged Divisions
Mathematics
),Philosophical Topics, vol. XV, no. 2, pp. 23-34, 1987.[2] S. Lichtenstein, B. Fischhoff, Do those who know more also know more about how muchthey know?, Organizational Behavior and Human Performance, vol. 20, no. 2, pp. 159-183,1977.[3] G. Gigerenzer, U. Hoffrage, H. Kleinbolting, Probabilistic mental models: a brunswikiantheory of confidence, Psychological Review, vol. 98, pp. 506-528.[4] P. Juslin, H. Olsson, Thurstonian and bruswikian origins of uncertainty in judgment: asampling model of confidence in sensory discrimination, Psychological Review, vol. 10, pp.344-366.[5] D. Kahneman, P. Slovic, A. Tversky, Judgments under uncertainty: heuristics and biases,Cambridge University Press, Cambridge, England, 1982.[6] J.B. Soll, Determinants of
Conference Session
Biological & Agricultural Division Technical Session 2
Collection
2018 ASEE Annual Conference & Exposition
Authors
Shannon Banner, North Carolina State University; John J. Classen, North Carolina State University
Tagged Divisions
Biological and Agricultural Engineering
University for their assistance in recording and editing thepresentations and Murphy Brown, LLC whose funding provided the background for economicand environmental assessment research used in the module.References[1] "Best practices in online teaching strategies," Hanover Research Council, 2009.[2] “Gamification”, in: Merriam-Webster, [online], (n.d.). Available: http://Merriam-Webster.com [Accessed Jan 1, 2018].[3] Brian Burke, "Gartner Redefines Gamification," 2014, [online]. Available:https://blogs.gartner.com/brian_burke/2014/04/04/gartner-redefines-gamification/[4] A. Del Blanco, J. Torrente, P. Moreno-Ger, B. Fernández-Manjón, "Integrating adaptivegames in student-centered virtual learning environments," International Journal of
Conference Session
Engineering Design Graphics Division Poster Session
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jeremy V. Ernst, Virginia Tech; Shelley Glimcher, North Carolina State University; Daniel P. Kelly, North Carolina State University; Aaron C. Clark, North Carolina State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Design Graphics
with real-world examplesas compared to theoretical examples traditionally employed in introductory engineering graphicscourses.This material is based upon work supported by the National Science Foundation under Grant No.1725874. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] J. V. Ernst, T.O. Williams, A. C. Clark, and D. P. Kelly, “Psychometric properties of the PSVT:R Outcome Measure: A preliminary study of introductory engineering design graphics,” in 70th EDGD Midyear Conference Proceedings, Daytona, FL, USA, January 24-26, 2016.[2] S. A. Sorby and B. J. Baartmans
Conference Session
First-year Programs Division: Student Success
Collection
2018 ASEE Annual Conference & Exposition
Authors
Okan Caglayan, University of the Incarnate Word; Sreedevi Ande P.E., University of the Incarnate Word; Erik Coronado; Max Joseph Martinez, University of the Incarnate Word; Samuel Jacob Handowski
Tagged Divisions
First-Year Programs
- loop and the while-loopDuring day 3, students were assigned a project to analyze blood pressure in order to practice dataacquisition and analytics. They were introduced to the basics of the topic, such as what bloodpressure was, stages of blood pressure, effects of exercise on blood pressure, etc. The project wasoutlined as the following: a. Measure resting blood pressure b. Raise blood pressure (stressed) c. Measure stressed blood pressure d. Import data e. Analyze data in MATLABFigure 1 shows the collected and analyzed day. Blood Pressure Baseline vs Stressed 140 130
Conference Session
Making, Hacking, and Extracurricular Design
Collection
2018 ASEE Annual Conference & Exposition
Authors
Paul Alexander Horton, Arizona State University; Shawn S. Jordan, Arizona State University, Polytechnic campus; Steven Weiner, Arizona State University, Polytechnic campus; Micah Lande, Arizona State University
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
teams at Major League Hacking events.II. Background Information and LiteratureA. Hackathon BackgroundHackathons are a relatively new phenomenon in terms of research and as such there are very fewstudies within the engineering education literature. Major League Hacking, a B-corporganization that partners with collegiate hackathons to provide organizers with resources andadvice, describes hackathons as an “invention marathon,” where people interested in technologycan “learn, build and share,” their creations with others.3 These events have attracted 65,000student attendees at 200 unique hackathons at different universities in 16 countries.3 It isimportant to note the distinction between the security definition of hacking and a
Conference Session
FPD and DEEDs Joint Postcard Sessions
Collection
2018 ASEE Annual Conference & Exposition
Authors
Srinjita Bhaduri, University of Colorado, Boulder; Katie Van Horne Ph.D., University of Colorado, Boulder; Peter Gyory, University of Colorado, Boulder; Hannie Ngo; Tamara Sumner, University of Colorado, Boulder
Tagged Divisions
Design in Engineering Education, First-Year Programs
school cafeteria to another, in the target landing zone (Figure5). The whole idea of the race was to be consistent with the problem that youth were trying tosolve and help deliver supplies to a disaster struck area. The youth who were able to successfullydeliver maximum supplies in shortest time won the race. Figure 2. Youth drawing sketch of the skyhook he would want to 3D printDesign of 3D AR Visualizer3D AR Visualizer allows youth to view 3D models of skyhooks in a virtual environment and inthe real world using marker-based AR. We chose this specific type of marker (Figure 3(a))because it allows for the most precise placement of the model in the augmented context (Figure3(b)). There is only one type of marker used for this since the
Conference Session
Practice I: Academic Success
Collection
2018 ASEE Annual Conference & Exposition
Authors
Cynthia Jane Wilson Orndoff Esq., Florida Southwestern State College; Elizabeth W. Schott, Florida Southwestern State College
Tagged Divisions
Educational Research and Methods
even thoughSTEM activities and outreach have greatly increased, there is still a widespread lack ofunderstanding as to the degree of math and science that is required to obtain an engineeringdegree.References[1] S. S. Steinberg, "The Relations of Secondary Mathematics to Engineering Education," Mathematical Teacher, vol. 42, no. 8, pp. 386-388, 1949.[2] B. Amadeci and N. Hewitt, "Talking about Leaving: Why Undergraduates Leave the Sciences," Higher Education, vol. 36, no. 1, pp. 115-116, 1998.[3] B. N. Geisinger and D. R. Raman, "Why They Leave: Understanding Student Attrition from Engineering Majors," International Journal of Engineering Education, vol. 29, no. 4, p. 914–925, 2013.[4] C. J. Atman, S. D. Sheppard, J. Turns, R. S
Conference Session
Elementary Engineering
Collection
2018 ASEE Annual Conference & Exposition
Authors
Brenda M. Capobianco, Purdue University, West Lafayette; James Lehman, Purdue University, West Lafayette
Tagged Divisions
Pre-College Engineering Education
and student learning of scienceand engineering in the elementary classroom.Research questionsThis study was guided by the following research questions: a) what instructional practices doelementary school teachers employ when implementing engineering design-based scienceinstruction? b) How do students perform on assessments of content learning after participation inengineering design-based science instruction? and c) To what extent do teachers’ specificinstructional practices correlate with students’ learning from engineering design-basedinstruction?Theoretical frameworkWe employed the construct of situated learning as our theoretical lens for this study. Accordingto Lave and Wenger [3], learning occurs “in situ” or “learning by doing,” both
Conference Session
Design in the BME curriculum
Collection
2018 ASEE Annual Conference & Exposition
Authors
Hannah Yssels; Marina Crowder; Ozcan Gulacar, University of California, Davis; Jennifer H. Choi, University of California, Davis
Tagged Divisions
Biomedical Engineering
for the modified coding scheme.Table 1. Sub problems that correlated with each step of the engineering design process wereused to determine participant performance on a particular problem solving task. Sub Problems Engineering Design Process Step A Identify Problem B Acknowledge Current Solutions C Acknowledge Current Solutions' Limitations D Identify User Needs E Address User Needs in Final Design F Formulate Engineering Metrics to Correlate to Defined User Needs G Address Engineering Metrics in Final DesignTable 2. COSINE codes were determined for each
Conference Session
Engineering Libraries Division Poster Session
Collection
2018 ASEE Annual Conference & Exposition
Authors
Leena N. Lalwani, University of Michigan; Jamie M. Niehof, University of Michigan; Paul F. Grochowski, University of Michigan
Tagged Divisions
Engineering Libraries
first two-week period of the survey. Survey respondents were self-selecting and anonymous, and the library did not offer incentives for completing the survey.Some U-M CoE graduate master’s degree programs do not require students to complete master’stheses, and so the survey began with simple demographic questions to determine a) the student’sdepartment or program; b) whether the student was working toward a master’s or PhD degree;and c) for a master’s student, whether the student would be completing a master’s thesis.Non-thesis master’s students were asked a shorter set of questions than were asked of studentswho would be writing master’s or PhD theses. This decision was part of the survey design, wherethe librarians concluded that many of the
Conference Session
Capstone Projects in Manufacturing
Collection
2018 ASEE Annual Conference & Exposition
Authors
Daniel R Khodos; David I Adegbesan, Vaughn College of Aeronautics and Technology; Oliver Khairallah; Shouling He, Vaughn College of Aeronautics & Technology
Tagged Divisions
Manufacturing
detection (LIDAR) sensor. The MR uses the map transmitted by the SR for its path-planning algorithm and determines the best path for the slave robot and itself to efficiently clean the room. Additionally, the MR vacuums dust and dirt swept by the SR. Table 1: Engineering Parts and Specifications Items Master Robot Slave Robot Maximum Translational 0.22m/s 0.35m/s Velocity Maximum Rotational Velocity 1.82rad/s 2.84rad/s Maximum Payload 2kgs N/A Size (L x B x H
Conference Session
Mechanical Engineering Division Poster Session
Collection
2018 ASEE Annual Conference & Exposition
Authors
Sreenidhi Krishnamoorthy, University of California, Davis
Tagged Divisions
Mechanical Engineering
. Henderson, C., and Dancy, M. (2007). “Barriers to the use of research-based instructional strategies: The influence of both individual and situational characteristics.” Physical Review Special Topics: Physics Education Research, 3(2), 020102.10. Plakans, B. S. (1997). “Undergraduates' experiences with and attitudes toward international teaching assistants.” TESOL quarterly, 31(1), p. 95-119.11. Hall, S. R., Waitz, I., Brodeur, D. R., Soderholm, D. H., and Nasr, R. (2002). “Adoption of Active Learning in a Lecture-based Engineering Class.” 32nd ASEE/IEEE Frontiers in Education Conference, Boston, MA.
Conference Session
First-year Programs Division Postcard Session 1: Retention and Student Success Strategies
Collection
2018 ASEE Annual Conference & Exposition
Authors
Jeremy C. Helm, Arizona State University; Tami Coronella, Arizona State University; Tim Rooney, Arizona State University
Tagged Divisions
First-Year Programs
explore the use of intrusive advising techniques with first-time full time freshmenidentified as high risk for attrition based upon academic indicators. The goal was to increasethe first-time freshman one-year retention rate. This study is in preliminary phases butexpands upon previous research to further enhance retention.Purpose & problemRecently, Arizona State University, a 4-year public institution, established two institution-widegoals: (a) improve one-year freshman retention rates to 90% and (b) improve 6-yeargraduation rates to 75%-80% and 25,000 graduates. The six-year graduation rate for a fall2010 admitted freshman in the Fulton Schools of Engineering at Arizona State University was66.4%, below Arizona State University institution’s
Conference Session
Motivation, Identity, and Belongingness
Collection
2018 ASEE Annual Conference & Exposition
Authors
Christine Allison Gray, Northern Arizona University; Robin Tuchscherer P.E., Northern Arizona University; Ron Gray, Northern Arizona University
Tagged Divisions
Educational Research and Methods
Paper ID #21972The Challenges and Affordances of Engineering Identity as an Analytic LensMs. Christine Allison Gray, Northern Arizona University Christine Allison Gray is a doctoral student in the College of Education at Northern Arizona University. She also serves as a graduate assistant on the Reshaping Norms project in the College of Engineering, Forestry and Natural Sciences.Dr. Robin Tuchscherer P.E., Northern Arizona University Dr. Tuchscherer currently serves as an Associate Professor at Northern Arizona University where he has taught since 2011. Prior to academia, he accumulated eight years of professional
Conference Session
MET and Mechatronics
Collection
2018 ASEE Annual Conference & Exposition
Authors
M. Austin Creasy, Purdue Polytechnic Institute
Tagged Divisions
Engineering Technology
39234 96490 39230 96486 39226 96482 39222 2 4 6 8 10 12 14 16 18 2 4 6 8 10 12 14 16 18 a Student Number b Student NumberFigure 2. Unique numerical codes submitted to the LMS from each student
Conference Session
Materials Division Technical Session 3
Collection
2018 ASEE Annual Conference & Exposition
Authors
Susan P. Gentry, University of California, Davis; Tanya Faltens, Purdue University, West Lafayette (Network for Computational Nanotechnology); William Ashwin Wheeler, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois at Urbana-Champaign
Tagged Divisions
Materials
. 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
Conference Session
Electrical and Computer Division Technical Session 2
Collection
2018 ASEE Annual Conference & Exposition
Authors
Daria Gerasimova, George Mason University; Jill K. Nelson, George Mason University; Margret Hjalmarson, George Mason University
Tagged Topics
Diversity
Tagged Divisions
Electrical and Computer
, “Context, self, and action: A motivational analysis of self-system processes across the life-span,” in The Self in Transition: Infancy to Childhood, D. Cicchetti, Ed. Chicago: University of Chicago Press, 1990, pp. 61–97.[9] V. Hospel, B. Galand, and M. Janosz, “Multidimensionality of behavioural engagement: Empirical support and implications,” Int. J. Educ. Res., vol. 77, pp. 37–49, 2016.[10] S. Lam et al., “Understanding and measuring student engagement in school: The results of an international study from 12 countries.,” Sch. Psychol. Q., vol. 29, no. 2, p. 213, Jun. 2014.[11] L. M. Thien and N. A. Razak, “Academic coping, friendship quality, and student engagement associated with student quality of school life: A partial
Conference Session
Pre-College Engineering Education Division Poster Session
Collection
2018 ASEE Annual Conference & Exposition
Authors
Darlee Gerrard, University of Toronto; Paul R. Chiarot, State University of New York at Binghamton
Tagged Divisions
Pre-College Engineering Education
work will explore the role of this experience on student recruitment andretention in engineering programs, and the academic performance and career trajectories forparticipating students. Through further analysis, we hope that these pieces serve to inform howwe describe the characteristics and purposes of the outreach program and STEM, particularly asit is understood by the program instructor, to provide insight into the nature of this collaborationand STEM education as a whole.This work was supported in part by the National Science Foundation (Award #1554038).References[1] D. Langdon, D. Beede, B. Khan, and M. Doms, “STEM: Good Jobs Now and for the Future,” Econ. Stat. Adm. Issue Br., vol. 3, no. 11, pp. 1–10, 2011.[2] X. Chen and M
Conference Session
ET Peripherals
Collection
2018 ASEE Annual Conference & Exposition
Authors
Anne M. Lucietto, Purdue Polytechnic Institute
Tagged Topics
Diversity
Tagged Divisions
Engineering Technology
Differences (Pre-Post) DoC 5 Differences (Pre-Post) RA Differences (Pre-Post) CwD 0 A A A A/W B W W W W W -5 -10 Figure 1. Sorted by Race and Displaying Difference in Responses Pre and Post InterventionTo restate these categories [7, 8], the • Diversity of Contact (DoC) considers pre and post-intervention interest in participating in cultural and social activities. • Relativistic Appreciation of Oneself and Others (RA) measures the value placed on diversity and self-understanding as it
Conference Session
Division for Experimentation & Lab-oriented Studies Technical Session 3
Collection
2018 ASEE Annual Conference & Exposition
Authors
David F. Radcliffe, Swinburne University of Technology; Mary K. Pilotte, Purdue University, West Lafayette
Tagged Divisions
Experimentation and Laboratory-Oriented Studies
laboratory, whereas “investigation” is more encompassing and therebyopen to much wider interpretation of how students might gain these abilities. In addition, theterm investigation better captures the nature and variety of the diverse types of work thatpracticing engineers do that involve gathering and interpreting data in order to draw conclusionsabout future actions. It also turns out that the design and conduct of experiments and theinterpretation of data are not a singular construct. Based on a systemic review of the literature ongraduate competencies for undergraduate students, Passow and Passow [13] arrived at severalsignificant conclusions in relation to ABET Criteria 3(b). “In short, ABET’s outcome 3(b) “design and conduct experiments
Conference Session
Active learning in BME, Session II
Collection
2018 ASEE Annual Conference & Exposition
Authors
Brian P. Helmke, University of Virginia
Tagged Divisions
Biomedical Engineering
strategy without sacrificing learning outcomes. Student feedback isconsistent with increased motivation to learn content as well as aspects of the affective aspects oflearning such as caring about the content and identifying strategies to help themselves becomelife-long learners.References1. T. Garcia and P. R. Pintrich, “The effects of autonomy on motivation and performance in the college classroom,” Contemp. Educ. Psychol., vol. 21, pp. 477-486, 1996.2. K. M. Cauley and J. H. McMillan, “Formative assessment techniques to support student motivation and achievement,” The Clearing House: A Journal of Educational Strategies, Issues and Ideas, vol. 83, pp. 1-6, 2010.3. B. P. Helmke, “Barriers to learning in a large flipped biotransport course
Conference Session
EDGD: CAD, CAM, and AI
Collection
2018 ASEE Annual Conference & Exposition
Authors
Joseph Rudy Ottway, Murray State University
Tagged Divisions
Engineering Design Graphics
, and J.T. Allison, “Project-Based Curriculumfor Teaching Analytical Design to Freshman Engineering Students via ReconfigurableTrebuchets,” Education Sciences, vol. 6, no. 7, 2016.[14] B. N. Roszelle, “ Implementation of 3D Printing Design Project in First Year MechanicalEngineering Course to Aid in Understanding of Engineering Design Process,” 7th First YearEngineering Experience Conference, Roanoke, VA, USA, August 3-5, 2015. Available:http://fyee.asee.org/FYEE2015/papers/5027.pdf[15] E. Ford, “ Get to Know Your CNC Code: How to Read G-Code, October 24, 2016. [Online}Available: https://makezine.com/2016/10/24/get-to-know-your-cnc-how-to-read-g-code/Appendix A: Rubric for assessing design reviews Category Poor
Conference Session
Applications of Technology in Mechanics Education
Collection
2018 ASEE Annual Conference & Exposition
Authors
Charles Riley P.E., Oregon Institute of Technology
Tagged Divisions
Mechanics
structure to a periodic impact and measure the dominant frequencies using the VibSensor app at anticipated modal antinodes (locations of maximum displacement). b. After determining the frequencies and mode shapes, estimate the locations of modal antinodes and place the shaker at those locations and force at the corresponding natural frequency to induce resonance. Ensure you have discovered a resonant frequency by adjusting the frequency of vibration to identify a maximum response acceleration. Measure the mode shape using the iPods. 3. Revisit your numerical model to make reasonable adjustments to dead loads, section properties and support
Conference Session
Professional Skills for Graduate Students
Collection
2018 ASEE Annual Conference & Exposition
Authors
Eric Holloway, Purdue University, West Lafayette; David F. Radcliffe, Swinburne University of Technology
Tagged Topics
Diversity
Tagged Divisions
Graduate Studies
same student outcome characteristics, with a particular focus on problem-solving, communication, and teamwork. Arguably the most influential these frameworks havebeen the ABET accreditation criteria, reviewed next.2.1 ABET Accreditation CriteriaIn 1997, ABET, a non-profit, non-governmental organization that accredits engineering andother programs at the bachelor and master degree level, established eleven student outcomes inwhat is known as EC2000 [2]. These outcomes are listed below: a) an ability to apply knowledge of mathematics, science, and engineering. b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within
Conference Session
Engineering Ethics Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Laura Ann Gelles, Utah State University; Idalis Villanueva, Utah State University; Marialuisa Di Stefano, Utah State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Ethics
ethical mentoring principle; (b) elucidate participantperceptions of ethical issues in six case studies; and (c) reveal what ethical behaviors participantsexpect from their respective mentor/mentee if they placed themselves in the situation of the casestudies.BackgroundThe relationship between a faculty-advisor and a graduate student has been shown to be adetermining factor of graduate student success [1], [2]. Advising relationships are typicallyformally assigned and structured so that they can help students adjust to the departmental cultureand provide them with a role model, critical information, and an advocate for their professionalsuccess [3]-[5]. Advising, when described as exceptional or as a mentoring type of relationship,can foster a