flatten the snow with a machine to make it easier to walk on. Heachieved this with two concepts: one was a snow tamper, a machine that would flatten the snowas you push it, and the other was two plywood boards. Similarly, while a few of Participant 4’sideas could be compared to existing products, many of them seemed outside of the traditionalscope of expected snow transport equipment.Another difference was that the ideas generated by the more adaptive students (Participants 1 and2) seemed more practical, more efficient for immediate implementation, and easier to predict thatthey would work as planned than the more innovative students (Participants 3 and 4. The majorityof ideas proposed by Participants 3 and 4 seemed like they would need more
0:07:04 0:03:41 distribution plan and power is out of scope. [Carla] begins to rank aloud the requirements for the project. The group begins reading through specs to determine what sensors are provided. --- --- --- --- --- [Patricia] updates [Carla] on the [Bradley] and [Olivia] are issues of sensitivity faced with testing the RFID sensor (and I the thin force sensor. [Patricia] believe distance sensor) inside 7.23 0:53:51 0:54:36
. Course resources Elective. focus on project management. Orientation Service-learning. Capstone Business, Several. Some Human services, Engineering products and are specifically access and Design focus services. “work for business abilities, including business like companies.” (business education and and industrial planning and outreach, the design issues. venture analysis
samplesize, the results indicate that self-assessment can be used as a tool to monitor the achievement ofcritical outcomes. Regular and periodic self-assessment from students might help an instructor tocome up with an early intervention plan to reconfigure course content or to change contentdelivery methods in order to enhance the possibility of achieving critical learning outcomes. Thisis important since the direct assessment of specific outcomes is typically done at the end of thesemester, or during program assessment, which is often too late for students who have alreadytaken courses in which outcomes have not been achieved. Although important and necessary, theformal means of direct assessment do not provide the instructor with an immediate
. James H. Block. New York: Holt, Rinehart and Winston, 1971.3. Keller, Fred Simmons, John Gilmour Sherman, and Carolina Martuscelli Bori. PSI, the Keller Plan Handbook: Essays on a personalized system of instruction. Menlo Park, Calif.: WA Benjamin, 1974.4. Onipede, O., and Warley, R., "Rethinking engineering exams to motivate students," 26th Annual Lilly Conference on College Teaching, Miami University, Oxford, OH, October 2007Appendix: Survey Questions1. I feel confident in taking future courses that require E MCH 211 as a pre-requisite.2. I think it is important to be able to solve problems correctly3. I feel that the grades I received in E MCH 211 with mastery exams was a fair evaluation of my understanding of that subject
. Retrieved from http://www.asee.org/resources/beyond/greenreport.cfm 4. National Academy of Engineering of the National Academies. (2004). The Engineer of 2020: Visions of Engineering in the New Century. Retrieved from http://www.nae.edu/Programs/Education/Activities10374/Engineerof2020.aspx 5. National Science Foundation, Investing in America’s Future: Strategic Plan, FY 2006–2011 (Arlington, VA: National Science Foundation). 6. Engineering Education and Practice in the United States: Foundations of our Techno-Economic Future. (1985). National Research Council: Washington, D.C. 7. Besterfield, M.E., Ragusa, G., Matherly, C., Phillips, S.R., Shuman, L.J., Howard, L. (2013). Assessing the
. Thousand Oaks: Sage.93. Koro-Ljungberg, M. & Douglas, E.P. (2008). State of Qualitative Research in Engineering Education: Meta- Analysis of JEE Articles, 2005-2006. Journal of Engineering Education, 97(2), 163-175.94. Koro-Ljungberg, M. & Douglas, E.P. (2008). State of Qualitative Research in Engineering Education: Meta- Analysis of JEE Articles, 2005-2006. Journal of Engineering Education, 97(2), 163-175.95. Anyon, J. (2009). Theory and Educational Research: Toward Critical Social Explanation. New York: Routledge.96. E.g., Creswell, J., W. (2007). Educational Research: Planning, Conducting and Evaluating Quantitative and Qualitative Research (3rd Edition.). Upper Saddle River, NJ: Prentice Hall.97. Charmaz, K. (2006
firstly will beinhosted. hosted Broun Hall 352 and now in Broun Hall 314. Page 24.947.7Based on this test and feedback from the students, we will revisit and update the lab experiments in the summer.Some fundamental questions to be answered are, are these labs suitable for senior students? What are theprerequisites? Does our current curriculum cover the sufficient background? We also plan to find ways toincorporate our research outcomes on SDR and CR with the lab, to show students how to leverage and
. L. Waight, K. S. Zerda, and T. Sha. 2008. The relations of ethnicity to female engineering students’ educational experiences and college and career plans in an ethnically diverse learning environment. Journal of Engineering Education 97 (4): 449-465.14. Hoh, Y. K. 2008. Presenting female role models in civil engineering: An outreach activity to help teachers overcome their misperceptions of engineers. International Journal of Engineering Education 24 (4): 817- 824.15. Jain, R., B. Shanahan, and C. Roe. 2009. Broadening the appeal of engineering - Addressing factors contributing to low appeal and high attrition. International Journal of Engineering Education 25 (3): 405- 418.16. Bronzini, M. S., J. M
(1): p. 1-16.5. National Academy of Engineering, Grand Challenges for Engineering, G.C.f.E. Committee, Editor. 2008, National Academy of Sciences on behalf of the National Academy of Engineering. p. 54.6. Rittel, H. and M. Webber, Dilemmas in a general theory of planning. Policy Sciences, 1973. 4(2): p. 155-169.7. Boyer, E., Scholarship Reconsidered: Priorities of the Professoriate. 1990, Carnegie Foundation for the Advancement of Teaching: Princeton, NJ. p. 151.8. Yin, R., Case Study Research: Design and Methods 2009, Thousand Oaks, CA: Sage Publications.9. Godin, B. and C. Doré, Measuring the impacts of science: Beyond the economic dimension. History and Sociology of S&T Statistics, 2004.10. United
the time. Each student is also able touse as many robots as he wishes without running into cost limits as would happen with thephysical robots.Integration into the classroom is planned in a few different ways to help complement thehands-on robots. Introducing new topics to students and demonstrating how to use therobots for the new topic can be completed more easily through the simulation on theteacher’s computer. As students are developing new code to run their robots, thesimulation provides the platform to quickly alter the code before running on the hardware.When students are at home without robots, the simulation is being used to have homeworkassignments which integrate the robot lessons.Initial data was collected from students who have
” experience. Choices that do not serve this purpose should be rejected in favor of projectsthat actually do enhance the realistic nature of the project. Some of the engineering sub-disciplines that need to be exercised include, but are not necessarily limited to, the following,shown in Figure 1 below: Page 24.1083.4 Product Planning Design Product Engineering (Analysis) Manufacturing (Production) Cost analysis Figure 1: Cross-functional approach required for student
coherent theme and progression from simple imaging casestudies to more sophisticated, state-of-the-art techniques. Our plans for solar imagingmodules include the following topical descriptions of each module: 1. Microstructure of Polycrystalline Silicon Wafers. Images of solar cells directly show the microstructure, particularly grain boundaries. Unlike metals, silicon reveals its grain structure without the need for any sample preparation. Students can apply many of algorithms (including ASTM protocols) used to parameterize microstructure from images. ASTM procedures using lineal and areal analysis, and similar methods, to determine grain size distributions and grain symmetry (e.g., equi-axed or elongated) will be
financing with an NGO in India; the use of cell phones for creating a more efficient process in maintaining immunization records for developing countries; and developing a foot measurement system with jaipur foot. He is also working on a new methodology for easier learning of 3D modeling applications for design students. He divides his time between the United States and India.He obtained his BArch from the School of Planning and Architecture in New Delhi and his Master of Science in Design from Arizona State University. Professor Sharma is Chair of the IDSA Design for the Majority Professional Interest Section. He has been involved in doing research on Design for the Bottom of the Pyramid and leads the Industrial Design
already know how to do. Engineers andprofessionals of all fields routinely tackle problems to which they do not have ready solutions,yet the educational experience of most American students typically involves a smoothly paved,pre-planned route to the “correct answer.” Perhaps the most valuable aspect of this form oflearning is that it is something unknown that must be mastered. Making video is not terriblydifficult to learn to do at a basic level, but it requires practice and persistence. Persistence in theface of adversity is a valuable attribute, but one that may be lacking among today’s collegestudents depending on levels of maturity and intellectual development.Perhaps this is a factor that partially explains some of the observed differences
calls for alternative doctoralpedagogies for students planning to succeed in industry.It is difficult to directly compare the results of this study with numerical results shown in similarstudies. We are particularly interested with comparing our numerical findings through thissurvey with numerical findings about the most important skills for Ph.D.-holding engineeringgraduates in academia and industry. However, most studies look particularly at the experiencesand employer expectations of baccalaureate-level engineers entering the field. For example,Lang et al. (2009) conducted a survey of engineers in industry regarding the necessary attributesfor entry-level (baccalaureate) engineers using a survey instrument asking participants about
with opportunities for peer instruction, individual and group problem-solving exercises, and discussion and consideration of experimental demonstrations. During the exercises the instructor would circulate through the lecture hall with approximately 100 students. After a period of time for these exercises the instructor would review or present a solution to the problem in collaboration with the students using a tablet PC. The in-class time was also used to discuss additional applications and current areas of related research. Approximately one-third to one-half of the class was spent with the instructor speaking at the front, but the presentation was not based on pre-planned notes, but rather
used clickers in nearly every classfor the last 10 years. Three semesters ago there was the opportunity to move a class into acomputer lab. Coincidentally, this was the first semester that the instructor decided to relyprincipally on online homework after a trial run of online homework had been veryenthusiastically received the previous semester. Thus this class had quick feedback in class fromclickers. Students were able to see if their work matched the instructor’s for spreadsheets, andthen for homework, students received instant feedback, suggestions, links to text sections, andmultiple tries to get it right.The results were so good, that a talk on the “Best Teaching Experience of my 35-year Career”was planned. Two subsequent semesters have
misconceptions when applying the concept in practice.The research concluded with specific differences between several types of active learning:collaborative, cooperative, problem-based, project-based, and team-based learning.Future research is planned to measure the impact of team-based learning in the promotionof creative thinking in engineering education. The experiment will have a control group in a Page 24.1175.9traditional lecture-type setting and an experimental group in a team-based learning settingto identify if TBL has an impact on creative thinking, a desired skill in future engineers.AcknowledgementThis material is based upon work supported by the
on project management. Orientation Service-learning. Capstone Business, Several. Some Human services, Engineering products and are specifically access and Design focus services. “work for business abilities, including business like companies.” (business education and and industrial planning and outreach, the design issues. venture analysis), environment. Focus on some focus on
mistakes or fill in any gaps fromthe review.Quality control is a critical for the success of this assignment. Many teams were found toprocrastinate to the detriment of their review when they did not leave time for adequateinstructor feedback. Procrastination also led to some teams spending lots of time just beforepresenting to develop a problem, only to learn that their problem was incorrect. In the future it issuggested that the team meet with the instructor two weeks prior to the review and be required toturn in a short report stating what they are planning to do, who will be doing what, and when thegroup will be meeting. It would also be useful for the instructor to meet with the team in the lastminutes of class roughly a week before the
questions included: [1.] Which instructional scaffolds andtechnological affordances do students perceive as helpful when collaborating through onlinetools? [2.] How do student perceptions differ from the instructor’s perceptions? The plan is to tell a story in its natural setting; to explore what transpired over twosemesters of research involving a single engineering materials course in which multiple onlinecollaborative tools were employed, and one in which the engineering professor welcomed theresearch team into the learning environment.Context, Participants and Collaborative Tools This study took place at a large university in the American Midwest and involved a totalof 144 student participants from an undergraduate mechanical
and research opportunities. The plans for Page 24.1222.2the final year of the project will be discussed.The National Science Foundation is supporting the project (NSF CCLI/TUES #0941012).IntroductionThe iCollaborate Materials Science and Engineering (MSE) project is a multiyear,multifaceted research project designed to understand how student learning outcomes,student engagement, and successful course completion rates in introductory MSEcourses are affected by a variety of programs and activities that are based upon bestpractices from STEM education research. A number of interventions and activetechniques were used in the classroom, at first
to directly assess theimpact of the advising relationship on various measures of student success. Our future plansinclude the analysis of the larger survey to better understand returners’ decisions to pursue aPhD, the unique challenges they face, and coping strategies they utilize and how these compareto those of direct pathway students. We also conducted in-depth interviews with 53 returning anddirect pathway students from across the country and plan to analyze that data for a betterunderstanding of the development of students’ research and how their past experiences influencetheir PhD work. Finally, we will conduct focus groups with various stakeholders in industry,government, and academia, including faculty advisors, to better understand
Page 24.1262.2and typically assist with labs for 5 to 7 courses each. Some of the courses required more labwork than others. On average the lab managers were travelling three days per week and on eachtrip they could cover anywhere from 100 to 500 miles. For entry-level courses, such as CircuitModeling I, traveling support staff can be used to assess proper usage of lab equipment and toevaluate the construction and performance of simple circuits. Since they cover locationsthroughout the state, the two lab managers usually create a biweekly site schedule which bothstudents and faculty can plan around. They work with engineering faculty to ensure that theremote students have a lab experience equivalent to those on main campus. For upper
C26. Make sure teammatesO7. Help to plan, set goals, R17. Show respect for other understand importantand organize work teammates information and instructionsO8. Track team progress vs. R18. Demonstrate C27. Help the team buildyour timeline accountability consensusO9. Encourage progress to R19. Collaborate effectivelymeet goals and deadlinesO10. Display dedication anddetermination4.2. Study DesignAt the beginning of the course, teaching assistants participated in a 1.5 hour training session onteamwork and
studyinghumans. The faculty provided stories of these challenges as well as the strategies theyused to overcome them. As Corey explains, “I wanted to find out how everyone dealtwith situations that I had difficulty in…I want to be prepared for my research, and Ifound it helpful to know obstacles are presented to all of us.” Similarly, Catherine shareshow toward “the middle of the semester, as we became more comfortable withmethodologies through other courses, I became more interested some of the issues withthe research that didn’t go as planned.” Molly and Emilie provide a broad overview ofthe kinds of “realities” faculty shared: “Getting to talk candidly with the authors of these papers made EER seem much more accessible, but also opened my eyes
undergraduateengineering curriculum to include more subjects…all within the confines of a sacrosanct four-year program. Arguments on all sides are unimpeachable but they are also mutuallyexclusive…The arguments could be reconciled in a plan for a pre-engineering undergraduateprogram followed by a professional school program… because of objections to the extra costs ofthis approach…the committee could not reach a consensus on this vexing problem.” (p. iv)Overall the definition of an engineer and engineering that emerges from “Engineering Educationand Practice in the United States” is both essential and pragmatic. Essential in that the roles andfunctions of the engineer need to be defined to place her in the context of a larger economic andsocial system, and