research focuses on the nontraditional engineering student – understanding their motivations, identity development, and impact of prior engineering-related experiences. Her work dwells into learning in informal settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.Dr. Cheryl Q. Li, University of New Haven Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is a Senior Lecturer of the Industrial, System & Multidisciplinary Engineering Department. Li earned her first Ph.D. in me- chanical engineering from National
cross section of the questions of each survey.Table 3. A Sample of Survey Questions Current Secondary School Students survey Peer survey Q.4 When working through a Math problem, how Q.3 Are you currently a student in engineering? excited do you typically feel after you have solved it? (5=very excited, 1=very bored) Q.5 How interested are you in the way things work Q.4 If you are no longer a student, are you working (5=very interested, 1=not interested at all) in an engineering related field? Q.7 Have you ever learned about engineering? Q.7 Why did you choose to study engineering? Q.8 What do you think an engineer does in his/her
democratization of manufacturingand programmable electronics. The design experience in the class provides students an outlet forexercising their creativity at the highest level of Bloom’s taxonomy. ∗A web-based, private beta version was provided to students in the Fall 2015 to assist them with their projects.Figure 5: A few pictures of the projects from the Final Robot Design Project Demo day, Fall 2015;see complete gallery of pictures at https://goo.gl/photos/WhYmy4kxFoStwNQz7References1 Shen, Q., Al-Smadi, Y. M., Martin, P. J., Russell, K., and Sodhi, R. S., 2009, “An extension of mechanism design optimization for motion generation”, Mechanism and machine theory, 44(9), pp. 1759–1767.2 The National Academy of Engineering, 2005, Educating the
ofresearch, (4) an interactive tour of the conference hardware competition which provides concreteexamples of cutting edge research, (5) a small group Q&A with graduate students engaged inresearch, and finally (6) a panel discussion with diverse research faculty committed to post-secondary engineering education. The challenges associated with this approach to outreach, theadvantages of incorporating a STEM intervention into a technical research conference, andsuccessful methods for locating a group of underserved students are discussed. In addition, thescale and impact of the intervention are evaluated through open-ended and quantitative surveys.The survey results document the positive student reaction to this intervention. The positivestudent
1.0 0.5 0.0 Incorrect WT Pre-‐Video Q Correct WT Pre-‐Video Q Marble Machines Wind Tubes Figure 8. Performance on Wind Tubes related posttest items, clustered by condition and performance on WT pre-video question. Wind Tubes tinkerers performed the best, if they got the pre-video question correct.Data analyses on the marble-related posttest questions showed a similar trend, but were lessclear-cut (see Fig 9). ANOVA revealed a
xj= 0.49 𝜇m The total amount of dopant introduces into the substrate Q(t) is given by √4𝐷𝑡 Qt = Cs= 2.9 * 1015 atoms/cm2 √𝜋 Example 2.3.2 Drive-In Calculate the junction depth xj of the sample in example 2.3.1 after Drive-In at1100°C for 4.5 hours. 𝑄𝑇 −𝑥 2 C(x,t)= exp( ) √𝜋𝐷𝑡 4𝐷𝑡 2𝐶𝑠 √𝐷𝑡 5.18∗1015 Qt =( )predep = √𝜋 √𝜋 5.18∗1015 Where Cs’(t) = = 2.5*1019/cm3 𝜋√(𝐷𝑡)𝑑𝑟𝑖𝑣𝑒−𝑖𝑛
responded in that category. Results are from Spring 2015 class.In both Spring of 2014 and 2015, the useful of the PLG sessions was very dependent on theindividual PLG leader. During both semesters, there was one PLG leader (PLGL1) whofollowed the exact procedure laid out in the methods section (15 minutes of Q&A, 45 minutes ofprepared exercise, 1 hour of work time). Additionally, each semester, the other PLG leader(PLGL2) did not follow the procedure and spent the majority of the time helping students withtheir assignments. PLGL1 had a small group of students who attended the sessions each week.These students were not struggling in the class, but actually using these sessions to enhance theiralready proficient level of understanding. PLGL2 had
Engineering Education: the CDIO Approach, Springer, 2007.[3] K. F. Berggren, D. Brodeur, E. F. Crawley, I. Ingemarsson, W. T. G. Litant, J. Malmqvist, S. Östlund. CDIO: An international initiative for reforming engineering education, World Transactions on Engineering and Technology Education, 2003,2(1):49-52.[4] A. Sripakagorn, R. Chancharoen, K. Maneeratana, K. Panyajirakul. An implementation of CDIO/design thinking in mechatronics projects, IEEE International Conference on Teaching, Assessment and Learning for Engineering: Learning for the Future Now, 2014: 516-521.[5] Y. Q. Wang, Z. Y. Qi, Z. Li, J. Yu, Y. Y. Zha. Review of CDIO research in China: From 2005 to 2011, World Transactions on Engineering and Technology Education
. Journal of Science Education and Technology, 18, 163-172.[45] Concannon, J. P., & Barrow, L. H. (2012). A reanalysis of engineering majors' self-efficacy beliefs. Journal of Science Education and Technology, 21, 742-753.[46] McWhirter, E. H., Hackett, G., & Bandalos, D. L. (1998). A causal model of the educational plans and career expectations of Mexican American high school girls. Journal of Counseling Psychology, 45(2), 166- 181.[47] Dika, S. L., Pando, M. A., Tempest, B. Q. (2014). Pre-college interactions, early expectations, and perceived barriers: Are there differences for underrepresented engineering students? Proceedings of the 2014 American Society of Engineering Education conference
Disagree 46% 67% Very difficult Strongly DisagreeQ. 11. How would you rate your understanding of the interaction of components such asencoders, DC motors, analog to digital converters, PWM signals, and current sensors within acontrol system before taking this lab?Q. 12 How would you rate your understanding of the interaction of components
the University and beyond. West Lafayette, IN; 2012:59-85.3. Pawley AL. Drawing the line: Academic engineers negotiating the boundaries of engineering. 2007.4. Pawley AL. Universalized Narratives: Patterns in How Faculty Members Define “Engineering.” J. Eng. Educ. 2009;98(4):309-319. Available at: http://dx.doi.org/10.1002/j.2168-9830.2009.tb01029.x.5. Riley D. Engineering and Social Justice: Synthesis Lectures on Engineering, Technology, and Society #7.6. Mcintosh P. White Privilege : Unpacking the Invisible Knapsack. Cyrus V, ed. Work 1990;49(1988):1-5. Available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:White+Privilege:+Unpacking+the+Invisi ble+Knapsack#0.7. Mcintosh P
readings. Black horizon- tal line segments are averages over time widows corresponding to steady state operation.Table 2: Sample steady-state results. The Q row is computed with Equations (1) and (2) using Vin = 12V and R = 5.4 Ω for heat sink E, and p values from the PWMheat row of this table. Values of Tave are obtained by averaging over the horizontal plateaus of the data in Figure 12. PWMheat 21 50 80 100 122 143 160 209 229 255 Q (W) 0.096 0.0548 1.40 2.19 3.26 4.48 5.61 9.62 11.5 14.3 Tave ◦C 24.2 29.0 34.0 37.6 41.0 44.5 47.8 56.1 59.5 63.5gives the data in Table 2. Note that the temperature data in Figure 12 was obtained by capturing theoutput from the
generate a modulated sinusoidal wave). • Music synthesizer (to modulate an analog wave with an ADSR envelope generator). • Music synthesizer I/O core. square wave d q + phase reg (a). Digital DDFS square wave d q phase to amplitude
to design examples andexercises that meet the specific needs of each classroom. In order to better understand thedifferences between classrooms, students from two different classrooms (named“Classroom 1” and “Classroom 2”) were submitted to the same following question duringan electrochemistry lesson:Consider the following overall reaction for a battery: 2 Ag+ + Sn → 2 Ag + Sn2+What is the reaction quotient (Q) for this redox process?a) [Sn2+].[Ag]2/[Ag+]2.[Sn] b) [Sn2+]/2[Ag+]c) [Sn2+]/[Ag+]2 d) [Ag+]2/[Sn2+]The correct answer to the question above is letter c): Q = [Ag+]2/[Sn2+].Although it seems to be a very easy question, is was possible to
. Mahwah, NJ: Lawrence Erlbaum Associates.Miles, M., & Huberman, A. (1994). An expanded sourcebook: Qualitative data analysis (2nd ed.). Thousand Oaks, CA: Sage Publications.Patton, M. Q. (1990). Qualitative evaluation and research methods (2nd ed.). Newbury Park, CA: Sage.Patton, M. Q. (2002). Qualitative research & evaluation methods (3rd ed.). Thousand Oaks, CA: Sage.Rehling, L. (2000). Doing good while doing well: Service learning internships. Business Communication Quarterly, 63(77), 77-89.Stanton, M. (1992). Internships: Learning by doing. Occupational Outlook Quarterly, 36(2), 30-33.Strauss, A. (1995). Qualitative analysis for social scientists. Cambridge, UK: Cambridge University
, James and Jamjoom, Hani and Shae, Zon-Yin and others, "Enabling high-performance computing as a service," Computer, pp. 72-80, 2012.12. Alshuwaier, Faisal, Abdullah A. Alshwaier, and Ali M. Areshey. "Applications of cloud computing in education." Computing and Networking Technology (ICCNT), 2012 8th International Conference on. IEEE, 2012.13. Mircea, Marinela, and Anca Ioana Andreescu. "Using cloud computing in higher education: A strategy to improve agility in the current financial crisis." Communications of the IBIMA 2011 (2011): 1-15.14. Gong, C., Liu, J., Zhang, Q., Chen, H. & Gong, Z. (2010) “The Characteristics of Cloud Computing”, Parallel Processing Workshops (ICPPW), 2010 39th International Conference
More Q&A, Communication, or more 16 communication time with sponsorTable 2: Summary of Sponsor Engineering Economy Case Study Feedback Questionnaire Data. Question Frequency Answers Where do you spend most of your 3 Field Engineering Manager time in your current position 5 Distribution Center (circle only one)? What are the main reasons (goals) Branding of Company and talent acquisition/ future 6 for partnering with Penn State IE candidates. Industrial
). Parametric and Direct Modeling, When Adding Direct Modeling Can Unlock Potential. Retrieved from http://www.econocap.com/userData/econocap/ladattavatmediat/DirectModel_eBook3_EN.pdf12. Qin, S. PhD., Senior R&D Engineer, Flowonix Medical Inc. Interview, 201613. Siemens. (2015). Product Lifecycle Management Software Inc.14. Stockhausen, P., Senior Designer, UTC, Email Correspondence, 201615. Ushakov, D. (2008). Variational Direct Modeling: How to Keep Design Intent in History Free CAD. Retrieved from http://isicad.net/articles.php?article_num=1288616. Wang, L, J-Y. Shang, W. Yang and Q Fan (2015). Advantages Analysis of Synchronous Modeling Technology Based on Solid Edge, WSEAS Transactions on Computers, Volume 14, pp. 246-252.
after of a TechFriday. Q: My Current level of interest in learning about Charlieplexing is: Figure 1. Pre Survey of Charlieplexing with Arduino Tech Friday Q: After participating in today’s Tech Friday, my current level of interest in Charlieplexing is: Figure 2. Post Survey of Charlieplexing with Arduino Tech FridayStudent Mentoring and TutoringOur mentoring program helps recruit STEM major students from community colleges. As a teamof
should be factored into pairing new GTAs as peer level contacts. mentors. We needed to have Midway through fall 2015, we We allowed instructors to vote on more efficient changed the format so that the format change to gain buyin. weekly training everyone had to review slides Providing documents with meetings. We prior to the meeting and then used annotations (voice and/or spent meetings the meeting time to allow Q&A on significant written notes) that help going through all slides. The new format reduced instructors understand the material common slides and the meeting time by at least 15 is
” Karmen Harris. “Implantable RFID Tags to Track Students” Larissa Hall. “iPad Carrying Case” Ashley James. “High-Tech Band-Aids” Taylor Kelly. “Special Education Progress Monitoring Software” Abagail Lewis. “The Relaxed Rider. A Stroller for Autistic Children” Cameron Lucero. “Technology Aiding Disabled Children at Heartspring in Wichita, KS. Senior Design Proposal” Brandon Mais. “Developing an Interactive iPad App to Assist in Daily Task Management for Children with Developmental Disabilities” Geoffrey Miller. “Q-Sensor Wrist Watch/Head Band Event Counter” Bryn Mayfield. “Hammock Swing with Ergonomic Inserts” Zac Myers. “Shock Resistant iPads” Jacob Nagely. “Sleep Sensors to Aid Heartspring Children with
department and the other was from the former students who tookthis course before. The presentation of the director of undergraduate program is important to thestudents because he/she is the one the students have to look for if there are class schedule relatedand academic problems. The students must know at least two people. One is their academicadvisor and the other is the director of undergraduate program. During the presentation, they hadan idea of what the departmental expectation was and what to do and what not to do. Thepresentation of former students gave the current students the idea of the course at a peer level.The presentation given by the former students was about their term project. After thepresentation, the students had a Q&A
ofthe case study, students delved into the “central limit theorem”, which is a key concept in thecourse. The students are expected to visualize the central limit theorem for the given data. Thisalso motivates them to explore graphical tools in Python in order to produce various plots fromthe data, such as Q-Q plots. In addition, students got to practice with cumulative distributionfunctions and understand the concept more in depth. The case study was designed such thatstudents were required to revisit the majority of the probabilistic concepts (e.g. conditionalprobability, integration technique) and apply them at the same time in a different, realisticcontext. This case study also went one step further, and the students were introduced with
our workshops were getting easier toplan and host, we chose to add to our repertoire of offerings. We created a series of weekly dropin sessions that we branded our Library Clinics (Figure 8). Our clinics were meant to beinformational and flowing, not a lecture style or hands on workshop. We hosted these in thelibrary itself, right in the flow of traffic so we would be noticed. Topics for our library clinicsincluded citation management software, 3D printing, arduino demos, oculus rift demos, and evenBloomberg terminal Q and As. We decided at first to hold these sessions on Friday mornings at atime that would be least disruptive to our patrons. Shortly after realizing that least disruptive alsomeans lowest attended, we switched these clinics
technical symposium on Computer scienceeducation. ACM, New York, NY, pp. 402-406, 2008.[4] S. Lee, S. Kastner, and R. Walker. “Mending the Gap, Growing the Pipeline: Increasing Female Representationin Computing,” in Proceedings of the 2013 ASEE Southeast Section Conference, Gainsville, FL, 2015.[5] G. Skelton, Q. Pang, W. Zheng, and H.R. Shih. “Using robotics for teaching critical thinking, problems solvingand self-regulated learning for freshmen engineering students,” in Proceedings of 2011 ASEE Annual Conference &Exposition, Vancouver, BC, Canada, 2011.[6] T. S. Hall and P. W. Munger. “Integrating robotics into first-year experience courses,” in Proceedings of 2011American Society for Engineering Education Southeastern Section Annual Meeting
, no. 1, p. 78, 2008.[7] A. M. Brandenburger and B. J. Nalebuff, Co-opetition, New York: Doubleday, 1996.[8] H. Jackson, K. Tarhini, A. Zapalska and S. Zelmanowitz, “Strategies to Infuse Global Perspectives and Industrial collaboration in Engineering Education,” in ASEE /IEEE Frontiers in Education, Washington, DC, 2010.[9] M. A. King, “A Strategic Assessment of The Higher Education Industry: Applying the Porter's Five Forces for Industry Analysis,” in Southeastern Decision Sciences Institute Annual Conference, Blacksburg, 2009.[10] Q. T. Univeristies, “QS World University Rankings 2015/2016,” [Online]. Available: http://www.topuniversities.com/university-rankings/world-university-rankings/2015. [Accessed
-filters 6. Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. San Francisco: Jossey-Bass. rd 7. Patton, M. Q. (2002). Qualitative research and evaluation methods (3 ed.). Thousand Oaks, CA: Sage.
= (3) τ = Gγ (4) IbWhere, ‘V’ is the vertical shear force, ‘Q’ is the first moment of area, ‘G’ is shear modulus, and‘𝛾’ is shear strain. Figure 3. Shear Strain and Stress DistributionThe strain, εθ , in any direction can be determined by equation five. 𝜀𝑥 + 𝜀𝑦 𝜀𝑥 − 𝜀𝑦 𝛾𝑥𝑦 εθ = + 𝑐𝑜𝑠2𝜃 + 𝑠𝑖𝑛2𝜃 (5) 2 2 2Subtracting two strains in arbitrary angles results in: 𝜀𝑥 − 𝜀𝑦 𝛾𝑥𝑦 𝜀𝜃1 − 𝜀𝜃2 = (cos 2𝜃1
identified during the first week was intentionally beyond the scope of the project, andsome was beyond the capabilities of the development team. Furthermore, due to the lack of students workingon such project, and also high enthusiasm of them (perhaps as a result of watching too many movies), therewere some requirements included (added by students through Q&A with the customer), that was nottechnically feasible even by very experience hardware and/or software professional. The bi-weekly meetingwith the customer provided the interns an opportunity to clarify their understanding of certain requirementsand also negotiate with the customer over requirements that they had discovered were unattainable with theavailable resources. Also, during these bi