) (b) Figure 1. Examples of student designs created in (a) 2014 and (b) 2015.The project took place over a 7 week period (outlined in Table 2). Throughout each week, theengineering design process was a constant theme and lessons were focused on matching steps inthe design process. In addition, groups were required to turn in intermediate design proposalsand group review memos before the final project was due. Table 2. Project Timeline over 7 weeks of the course DATE COURSE CONCEPT STEP IN ENGINEERING DESIGN PROCESSWeek 1 Describe design and constraints of the project Needs
; Exposition. Indianapolis, IN.6. Clark, R. M., Norman, B. A., & Besterfield-Sacre, M. (2014). Preliminary experiences with “flipping” a facility layout / material handling course. In Y. Guan & H. Liao (Eds.), Proceedings of the 2014 Industrial and Systems Engineering Research Conference. Montreal, Canada.7. Clemens, B. M., Nivargi, C., Jan, A., Lu, Y., Schneider, E., & Manning, J. (2013). Adventures with a flipped classroom and a materials science and engineering MOOC: “Fools go where angels fear to tread.” In Proceedings of Materials Research Society Symposium (Vol. 1583). Boston, MA.8. Ghadiri, K., Qayoumi, M. H., Junn, E., & Hsu, P. (2014). Developing and implementing effective
Engineering program. The course scopefocuses on issues related to the professional practice of civil engineering, and is intended toaugment and enrich the student’s civil engineering core courses. Topics include professionalregistration and practice, engineering ethics, contemporary issues, and fundamental concepts ofbusiness, management, and public policy. The course objectives are: 3 a. Apply the ASCE Code of Ethics to the solution of an ethical problem confronting a practicing engineer, b. Explain the elements of project management in the military, public service, and private sectors, c. Describe the business and public policy issues for public and private practice, d
Paper ID #16431Creating and Validating a Model to Support Aerospace Engineering Stu-dents’ Coordination of Knowledge about a DesignMs. Elizabeth Scott Fleming, Georgia Institute of Technology Elizabeth ”Scottie-Beth” Fleming is an Aerospace Engineering PhD candidate and NSF GRFP Fellow in the Cognitive Engineering Center (CEC) at Georgia Tech. She graduated from Georgia Tech with a B.S. and M.S. in Aerospace Engineering. Her research within the CEC examines interdisciplinary teams within the engineering design process, training approaches for aircraft pilots, and human interaction with technology.Dr. Amy Pritchett, Georgia
are in industrial and manufacturing systems engineering, scheduling and logistics and engineering education.Mrs. Olgha B Davis, North Carolina State University Olgha B. Davis is currently a doctoral candidate at the department of Leadership, Policy, and Adult and Higher Education at North Carolina State University. She obtained her Bachelor’s degree in Biomedical Engineering from Boston University and worked in industry for 7 years prior to returning to graduate school. She earned her Master’s degree in Biomedical Engineering from North Carolina State University and the University of Chapel Hill. Ms. Davis’ doctoral research focuses on racial and mathematical iden- tities constructs and how they influence African
theobserver and the library instructor. Both parties leave the experience with concrete, actionablenext steps. This was a critical consideration in the development of both the peer observationprocess and the form.Student Work AnalysisAnalysis of student work products will focus specifically on work produced and collected duringa library session. Collection of in-session data will vary dramatically by course and session.Different student levels, learning outcomes across sessions, course topics, and in-class activitiescan dictate what type of work is produced and therefore collected during a session. One exampleof an in-session activity is included in Appendix B. Librarians also have the option to collectformative or summative work; assessing formative
., Tran, M. C., Newman, C. B., Chang, M. J. and Velasco, P. (2011). We Do ScienceHere”: Underrepresented Students’ Interactions with Faculty in Different College Contexts. Journal of Social Issues,67, 553–579.16 Walters, N. B. (1997). Retaining aspiring scholars: Recruitment and retention of students of color in graduate andprofessional science degree programs. ASHE Annual Meeting Paper.Appendix A. Interview Protocol Questions for PEEPS Interviews and Focus GroupHow was the transition from high school to Cal Poly?Who or where have you been able to find support?Can you tell me about your experience in the Mechanical Engineering program at Cal Poly sofar?Has the major been what you thought it would be?Can you tell me about a specific experience at
in some of these gaps.Overall, the flipped classroom approach is an effective way to free up lecture time for students topractice course material and to have more time to ask questions. The added practice has in thisinstance lead to higher average test scores.ReferencesHe, S., & Zhang, Y., & Shen, F. (2015, June), Microcontrollers for Non-Electrical Engineering Students - Do WeNeed to Teach Assembly Language? Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle,Washington. 10.18260/p.24488Holdhusen, M. H. (2015, June), A “Flipped” Statics Classroom Paper presented at 2015 ASEE Annual Conferenceand Exposition, Seattle, Washington. 10.18260/p.23356Jones, B. A., & Reese, R. B., & Mohammadi-Aragh, M. J. (2014
examine solutions of their own. Students must understand the basicterminologies associated with different technologies. Being a college freshman student issufficient to understand the content of this course.Instruction consists of:a. Topics introduced through lectures, discussions, and reading assignments;b. Students working individually and collaboratively to complete assigned tasks and projects;c. Field activities, Internet, and library research on assigned subjects;d. Oral and multimedia presentations and written assignments;e. Quizzes, midterm test, and final exam.After an extensive search the selected book for the course was “Technology and Society:Issues for the 21st Century and Beyond / 3rd Edition” by Linda S. Hjorth, Barbara
, accessed on 3/17/2016.4. F.B.V. Benitti," Exploring the educational potential of robotics in schools: A systematic review", Computers & Education, 2012.5. G Nugent, B Bruker, N Grandgenett, "The impact of educational robotics on student STEM learning, attitudes, and workplace skills", Robots in K-12 education: A new technology for learning, pp. 186-203, 2012.6. G. Nugent, B. Bruker, N. Grandgenett, and G. Welch, "Robotics camps, clubs, and competitions: Results from a US robotics project", Robotics and Autonomous Systems, Volume 75, Part B, pp. 686-691, January 2016.7. L. Blum and T. H. Cortina, "CS4HS: An Outreach Program for High School CS Teachers", SIGCSE'07, Proceedings of the 3 8th SIG CSE technical
Paper ID #15181Improving a Flipped Electromechanical Energy Conversion CourseThomas E. McDermott, University of Pittsburgh Thomas E. McDermott is an Assistant Professor at the University of Pittsburgh, with over 30 years of industrial experience in consulting and software development. His research interests include electric power distribution systems, renewable energy, power electronics, electromagnetics, and circuit simulation. Tom is a registered professional engineer in Pennsylvania and an IEEE Fellow. He has a B. S. and M. Eng. in Electric Power from Rensselaer, and a Ph.D. in Electrical Engineering from Virginia
for GPA by Type HF2F HSOL Sample Size 125 137 Mean 3.3172 3.2306 Standard Deviation 0.3767 0.53170 95% Confidence Intervals (0.3427 0.4206) (0.4810 0.5962) P <0.001Given the difference in variation in course GPAs for the two methods of delivery, a morenuanced view of the grade distributions was desired. The distribution of grades was tested usinga Chi-Square Test for Association (Table 5), using Alpha = 0.05. This test analyzed thedistribution of each grade (A, B, C
. Figure 4. Image of the main circuit board of the Proteus robot controller. The front is pictured in (a) and the back pictured in (b).In order to have individual communication, the XBee receivers in each controller and the XBeetransmitters on each course section must be paired to the same channel. Since there are twocourses each with 4 course sections, there are 8 different static transmit addresses whichbroadcast robot positional data and course objective information. When a robot is ready to run ona course section, the user must input what course section the robot is running on (the sections arelettered A-H which represent the 8 course sections). The robot controller then configures theXBee accordingly to listen to the
. In the future, the experimental rig will continue to be a staple in the mechanicalengineering curriculum and a platform for future experiments.References1. The Cooper Union’s Course Catalog. N.p., n.d. Web. .2. Milliken, William F., and Douglas L. Milliken. "Chapter 18." Race Car Vehicle Dynamics. Warrendale, PA, U.S.A.: SAE International, 1995. N. pag. Print.3. Riley, William B., and Albert R. George. Design, Analysis and Testing of a Formula SAE Car Chassis. Tech. no. 2002-01-3300. Warrendale: SAE International, 2002. Print.4. Beer, Ferdinand P. "Chapter 3." Mechanics of Materials. New York: McGraw-Hill, 2011. N. pag. Print.5. “Hysteresis." Merriam-Webster.com. Merriam-Webster, n.d. Web. 30 Jan. 2016.
information in order to reachvalid conclusions” 1 and is similar to the Accreditation Board for Engineering and Technology(ABET) criteria b. Likewise, problem analysis is defined by the CEAB as the “ability to useappropriate knowledge and skills to identify, formulate, analyze, and solve complex engineeringproblems in order to reach substantiated conclusions”1 and is similar to ABET criteria e. Theresearch team sought to answer the following questions: 1. What are the specific skills/behaviours/attitudes that are important for assessing investigation? 2. What are the specific skills/behaviours/attitudes that are important for assessing problem analysis?This study is part of a larger research project which seeks to develop non-discipline
events. The result was robotteams with four members designing/redesigning more complex robots and doing more testing.Organization of the EventsThe detailed competition guidelines are provided in Appendix B. The six events made varied useof different capabilities. Line sensing was essential for the Lane Follower and Line Followerevents. Each of these events required a different set of programming logic to excel. Carefulmechanical design was required for the Tug of War, Cross Country, and Hill Climb events.Teams that chose to participate in multiple events had the added challenge of satisfying multipleobjectives. Knowledge of electrical interfacing and programming was recognized by theRhythmic gymnastics event. Event 1 - Lane Follower
Paper ID #16964Leadership in Practice: A Model for Building Strong Academic Foundationsin a Residential Learning CommunityMs. Noel Kathleen Hennessey, The University of Arizona Noel Hennessey is the Coordinator for Outreach, Recruitment and Retention in the College of Engineer- ing at the University of Arizona. She is responsible for first-year experience through residential education, student development and retention, and designing outreach activities and events for undergraduate recruit- ment. Noel earned a Master of Arts degree in Higher Education from the University of Arizona in 2015 and is currently pursuing a
. Matias, E., & Rao, B. (2015). 3D printing: On its historical evolution and the implications for business. In Management of Engineering and Technology (PICMET), 2015 Portland International Conference on (pp. 551-558). IEEE.3. Savini, A., & Savini, G. G. (2015) A short history of 3D printing, a technological revolution just started. In History of High-Technologies and their Socio-Cultural Contexts Conference (HISTELCON), 2015 ICOHTEC/IEEE International (pp. 1-8). IEEE.4. Reeves, P., & Mendis, D. (2015). The Current Status and Impact of 3D Printing Within the Industrial Sector: An Analysis of Six Case Studies.5. Kulkarni, A., & Bhargava, M. R. (2015). 3D Printing. International Journal of
Paper ID #17353A Graduate Project on the Development of a Wearable Sensor Platform Pow-ered by Harvested EnergyDr. Sasan Haghani, University of the District of Columbia Sasan Haghani, Ph.D., is an Associate Professor of Electrical and Computer Engineering at the University of the District of Columbia. His research interests include the application of wireless sensor networks in biomedical and environmental domains and performance analysis of communication systems over fading channels.Daniel Albano, Northrop Grumman Corp. Daniel Albano is a graduate of the University of the District of Columbia’s Electrical Engineering
-university collaboration. (2010).8 Santoro, M. D. & Betts, S. C. Making industry-university partnerships work. Research-Technology Management 45, 42-46 (2002).9 Edmondson, G., Valigra, L., Kenward, M., Hudson, R. & Belfield, H. Making industry-university partnerships work: Lessons from successful collaborations. Science Business Innovation Board AISBL (2012).10 Perkmann, M. et al. Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy 42, 423-442, doi:http://dx.doi.org/10.1016/j.respol.2012.09.007 (2013).11 Mutter, B. V. & Pruett, R. in Proceedings of the 2011 American Society for Engineering Education conference
EAC Criteria 3 – J) was lacking. After extensive study anddebate by the curriculum committee and faculty, a new two-credit Professional Issues course wasadded to the curriculum to address these weaknesses.Course Learning GoalsThe Professional Issues course had eight learning goals. Seven of these mapped directly tooutcomes articulated in the ASCE BOK. The goals presented to the students in the coursesyllabus were: 1. Explain the importance of professional licensure2 and the path to become a licensed PE a. Describe the knowledge, skills, and attributes required to become a PE, based on the ASCE BOK b. Prepare to pass the Fundamentals of Engineering (FE) exam (review topics, develop test taking strategy) 2
Graduation Rate 34% 44% 5.06 99 S D B Math Cohort 92% 84% 93% 93% 0 0 C Graduation Rate 85% 90% 1.29 90 S DIn final years of the study, when focus shifted towards researching the intervention, a few treatment-control comparisons were conducted. A pair of CMST and non-CMST high school teachers from the sameschool taught properties of quadrilaterals in a mathematics class. The CMST teacher used GSP in a classof 24 pupils while the non-CMST teacher used conventional methods in a class of 14 pupils. Both teachersconducted the same unit test. Even
Learn. 2012:1621-1623.44. Hidi S, Renninger KA, Krapp A. The present state of interest research. In: Renninger KA, Hidi S, Krapp A, eds. The Role of Interest in Learning and Development. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.; 1992:433-446.45. Vygotsky L, Hanfmann E, Vakar G. Thought and Language. MIT press; 2012:252.46. Schreuders PD, Mannon SE, Rutherford B. Pipeline or personal preference: Women in engineering. Eur J Eng Educ. 2009;34(1):97-112. doi:10.1080/03043790902721488.47. Geisinger BN, Raman DR. Why they leave: Understanding student attrition from engineering majors. Int J Eng Educ. 2013;29(4):914-925.48. Lent RW, Brown SD, Hackett G. Toward a unifying social cognitive theory of career and
known as timbre). • Duration.A music note8 specifies the frequency and may also contain the duration information. The notesare grouped into octaves and their frequencies are doubled after each octave. There are twelvenotes in an octave, represented by C, C♯, D, D♯, E, F, F♯, G, G♯, A, A♯, and B. The frequenciesfrom the octave 0 to the octave 8 are summarized in Table 1. Table 1. Frequencies of music notesThere is a simple relationship between two successive note frequencies. Let the frequencies oftwo notes be fi and fi+1, then fi+1 = 21/12 * fiThe equation implies that a frequency is doubled after one octave (i.e., 12 notes): fi+12 = (21/12)12 * fi = 2 fiFor example, the frequency of note C in the
Undergraduate Students in Engineering through Freshman Courses, ASEE Annual Conference and Exposition, Montreal, Quebec.2. Johnson, J., & Niemi, A. D. (2015). A First-year Attrition Survey: Why Do They Say They Are Still Leaving? ASEE Annual Conference and Exposition, Seattle, Washington.3. Meyer, M. & Marx, S., (2014). “Engineering dropouts: A qualitative examination of why undergraduates leave engineering”, Journal of engineering education, Vol. 103, Issue 4, Pages 525-548, October 20144. Skurla, C., Thomas, B., & Bradley, W., (2004). Teaching Freshman Using Design Projects and Laboratory Exercises to Increase Retention, ASEE Annual Conference and Exposition, Salt Lake City, UT.5. Hall, D., et al., (2008). “Living with the Lab
learning). TABLE 1. ABET student outcomesABET student outcomes(a) An ability to apply knowledge of computing and mathematics appropriate to the program’sstudent outcomes and to the discipline(b) An ability to analyze a problem, and identify and define the computing requirementsappropriate to its solution(c) An ability to design, implement, and evaluate a computer-based system, process, component,or program to meet desired needs(d) An ability to function effectively on teams to accomplish a common goal(e) An understanding of professional, ethical, legal, security and social issues and responsibilities(f) An ability to communicate effectively with a range of audiences(g) An ability to analyze the local and global
what it means to be an engineer so as to get a clearer sense of my perceived calling in my life and career.” 8. “…a) better understand the needs of the poor and disadvantaged and/or b) work within constraints of a limited budget to choose between technical alternatives.”The summary of student ratings of the top three responses followed by responses to theremaining options appears in Table 1 below. Table 1. Rank and ratings by project students in the pilot survey for possible response statements to the survey question as indicated above. Response Overall Overall Average Junior (P1) Senior (P3) WERCware Statement Rank Rating (N=20) Avg. Rating Avg. Rating Team Avg. Item
… the program could be stronger if therewere some other people to step into those other roles.”Goal 3. Connect companies with an established network of mentors to provide team support.Feedback from the mid-program focus group is depicted in Appendix A and B. Resultsdemonstrated that some of the most valued events for participants were the pitch workshops,which were viewed as repeat mentoring opportunities for teams to receive feedback on theirpitch, resulting in a rating of 4.47/5.00 on a five-point scale. Another well-received mentoringopportunity was the mentor dinner (rating of 3.93/5.00) which one participant said “was by farthe best networking event and we made numerous important connections that night.”The post-program mean for mentor
. This is a very important point to emphasize, especially for engineeringstudents who are drawn to quantitative data and who tend to be less comfortable with qualitativedata and analyses. Hence, this “set up” for a discussion on analyzing the stories they receivedfrom their respondents is critical to a successful implementation of this exercise. Otherwise,students will take the “path of least resistance” and base most of their paper on the quantitativeassessments described below.When I introduce this phase, I spend a few minutes describing how strengths are holisticallydefined in this exercise (summarized on a PowerPoint) 16. Strengths are an integration of our (a)self-identities, which is how we express ourselves in a given situation, (b
. Andonce again, the initial level of confidence in one’s own response was very high (40%)which then increased to over half (61%). DiscussionThe consistency of the comparisons across the two approaches is gratifying, as itsuggests the existence of a real phenomenon that is hinted at in two different ways. Thelevels of the responses and the differences are similar, which suggests to us that studentknowledge about engineering is changing due to the introduction of THE PROJECT. Torefer to Figure 1, comparisons A and B appear to be similar. Most of these apparentchanges, however, appear to be informational rather than aspirational. That is, after oneyear of SABES, there appears to be convincing evidence that