… 6.16 1 2 3 4 5 6 7 Figure 7. 7 Portable PLC P kit in thee classroom and Opinionn Survey Ressults.When annswering the evaluation question q “Th he most helppful thing aboout this teacching tool haasbeen:” a common theeme is that sttudents feel that Portable PLC helpss them to vissualize how tthePLC worrks and to tesst their progrrams10.Conclusiion and Futture Directio onsEvaluatioon results suuggest that th he Portable PLC
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
equivalency will be described in terms of coursematerials, hands-on labs, student support and assessment. The same course materials were usedin both on-site and online versions. To have the same hands-on lab experience, studentspurchased an affordable lab kit to set up a home lab and perform the same lab exercises as in anon-campus lab. Piazza, an online Q&A discussion forum, was used to provide students withprompt answers to their questions, equivalent to but more convenient than on-campus officehours. Finally, to give the same assessment to online students as to on-site students, ProctorU, anonline proctor service, was used in the final exam.The online course was first piloted in summer 2014 with 128 students enrolled. Since then, anadditional
andquiescent (Q) point was described with a four-resistor bias network. The lab exercise for thatday was to build a biasing network and measure the voltages and currents and set the Q-point forthe transistor. The next section discussed the MOSFET as an amplifier and the idea of usingcapacitors to block DC voltages while passing AC signals in and out for amplification. Thestudents then added the appropriate capacitors to their circuit and measured the AC voltage gainat a fixed frequency. The last segment discussed the coupling capacitors and bias network ashigh-pass filters on the input and output. The students then measured the frequency response ofthe amplifier and compared it to expectations for the combined high-pass filters. Results
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
error signal is 𝑒 𝑛; 𝛩 =𝑋 𝑛 − 𝑋 𝑛, 𝛩 13.The goal of any optimization algorithm is to minimize a given error metric. For simplicity,consider the replacement of the argument t by the argument n to describe the sampled-datasystem, where n represents a sample instance. The output 𝑋(𝑛) can be represented as e f 𝑋 𝑛 = 𝑅 𝑛 (Eq. 9) g f where 𝐴 𝑞 and 𝐵 𝑞 are polynomials, whose ratio 𝐵(𝑞)/𝐴 𝑞 is the true transfer function ofthe unknown system. The forward shift operator is represented by q, defined such that𝑞j" 𝑋 𝑛 = 𝑋(𝑛 − 𝑖).The output of the prediction filter
category 0.36 CATS overall and 0.26 0.22 0.29 0.39 0.29 0.22 0.17 0.31 0.29 0.29 0.15 average scores on associated categories Note 1: Discrimination Index DI = (C1 – C4)/Q, where C1 (C4) is the number of correct responses from students in the upper (lower) quartile with respect to overall score, and Q is the average number of students in each quartile14. Note 2: Pearson Correlations: (ASCI Post, CATS-avg-assoc) = 0.525; (ASCI , CATS-avg-assoc) = 0.451; (ASCI Post, CATS-overall) = 0.162; (ASCI Post, Final Exam) = 0.508; (CATS-overall, Final Exam) = 0.426. Note 3: CATS scores are normalized to range from 0 to 1 for
CBIE course (14 CBIE-Civil), and 15students fully completed the survey in the PBIE course (all civil engineering majors). Surveyswere discarded if not fully completed. Tables 2 and 3 show the demographics, college majordistribution, and SAT V+Q scores of the students in the PBIE and CBIE courses.Table 2. Demographics of survey respondents: gender, race, and age Course Gender Race/Ethnicity Age (N=Pre/Post) Asian/Pacific African Male Female Hispanic White 18-24 25-34 35+ Islander American CBIE 58.4% 41.6% 11.0% 17.2
for each class period.Questions posted to the Piazza discussion board were answered by the instructor, teachingassistants, and/or peers and ones that were common were addressed by the instructor at thebeginning of each class period. Questions submitted to the in-class drop box were also answeredby the instructor at the beginning of each class period. This Q&A was used to promoteconstructive learning. However, as students were not required to submit questions and/oranswers to the questions, this activity was only applicable to some of the students, those whosubmitted the questions and/or answers. In future offerings of this course, this activity could bemodified to requiring students to submit either question(s) that they have or a summary
” 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
instrumentation available to properlysupport their opinions. Each group was required to write a report, give a presentation, and give amock deposition.Figure 5: Images show the reconstructed skull of the infant as well as the sketch of the kitchenwhere the incident occurred. This information was provided to the students.An interesting aspect of the implementation was that the groups presented only to the faculty for10 minutes followed by 10 minutes of Questions and Answers (Q&A). This was instituted toprevent from later groups learning from the questioning of the previous ones. Simple rubricswere used for grading, which were broken down as 40%, 40% & 20% for facts, Q&A andconduct respectively. Performance was incentivized by 10 extra points
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
’ responses to questions g through l. Figure 6: Results for the Education Category of the SurveyFocus Category - Cultural Awareness:This category of the survey focused on determining if the FLEAP provided a change in theparticipant’s cultural awareness. The questions focused on assessing the students’ understandingof the culture of different countries and viewpoints of the international market. Results from thefive questions were all relatively positive with most questions being answered as “slightlyimproved” or “greatly improved.” The overall category average was 3.56, which was the averageof all the participants’ responses to questions m through q. Figure 4: Results for the Cultural Awareness Category of the
this work suggestthat, contrary to common perception of engineering students, these students in aggregatereadily identified their writing courses as equally useful to their non-writing courses.However, these students were significantly less interested in their writing courses’ contentthan that of other concurrent engineering classes. We conclude by providing actionableinsights for educators that are suggested by our data. Q: Imagine that you are the instructor of an engineering writing class. What would you do to ensure that students stayed interested and motivated to learn? A: Ha! Good one. Honestly, I'm glad that's really not my problem, 'cause I have no clue. Best of luck with that, though. –Participant ID
., Duan, Z. (2013). “Enterprises Ambassador Model: a New Idea to Enhance University-Enterprise cooperation”.Research in Higher Education of Engineering 01, 71-75.[5] Fan, Q., Zheng, Q., Zheng, K., Wang, Z., Wang, X. (2013).“In-depth Hexahedral Cooperation Mode in Engineering Education Between Universities and Enterprises”.Experimental Technology and Management 12, 26-30.[6] Zeng, Y., Wang, G. (2011).“The Study on the Construction of Training System under Outstanding Plan”.China University Teaching 07, 75-78.[7] Chen, X. (2014). “The Study on Benign Construction of PETOE through Joint Training Model of University-Enterprise Cooperation”.Education and Vocation 11, 125-126.[8] Hou,Y., Wu, M., Gong, W., Wu, A. (2014).“Deep
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
the study ofpreservice professional programs in colleges and universities. The Journal of Higher Education, 231-258.7. Staton, A. Q., & Darling, A. L. (1989). Socialization of teaching assistants. New directions for teaching andlearning, 1989(39), 15-22.8. Staton‐Spicer, A. Q., & Darling, A. L. (1986). Communication in the socialization of preservice teachers.Communication Education, 35(3), 215-230.9. Austin, A.E., Campa III, H., Pfund, Christine, Gillian-Daniel, D.L., Mathieu, R., & Stoddart, J. (2009). PreparingSTEM Doctoral Students for Future Faculty Careers. New Directions for Teaching and Learning, 117, 83-9510. Antony, J. S., & Taylor, E. (2004). Theories and strategies of academic career socialization: Improving paths
-long learning. In Frontiers in Education Conference (FIE), 2014 IEEE (pp. 1-8). IEEE.20) Dreyfus, S., & Dreyfus, H. (2014). A five stage model of the mental activities involved in directed skill acquisition [monograph]. California University Berkeley Operations Research Center; 1980.21) Yock, P. G., Zenios, S., Makower, J., Brinton, T. J., Kumar, U. N., Kurihara, C. Q., ... & Watkins, F. J. (2015). Biodesign. Cambridge University Press.22) Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.23) Patton M. Q. (2014). Qualitative Research and Evaluation Methods, Sage Publications Inc.; Fourth Edition, 201424) NVivo qualitative data analysis software; QSR
courses, the students were overwhelmed at the end of the semester and had trouble putting in the time to do a good job on the project. Also, the pipe task was too difficult, it should be cut down to just finding Q given 𝛥P for straight pipes.3. AssessmentAssessment was implemented via student grades, student surveys, and, for 2014 and 2015, a popquiz given on the last day of class.3.1 Percentage of Report Grades Below 75%In 2010 - 2013, 27% of the lab reports received grades below 75%. In 2014, 5% of the pre-labs(which contained most of the material) and 5% of the post-labs (which required minimal work)were below 75%. This was expected since the students had to keep reworking all of the pre-labmaterial until it was correct, and
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
" Journal of Engineering Education, 82(2), 1993.10. tinyURL.com/CATE-INTRO11. YourLearningCoach.com12. F. W. DePiero, “Work-in-Progress: Design of an Online Learning Coach,” in Proceedings of the 2013 ASEE Annual Conference & Exposition. Atlanta, GA, ASEE, 2013.13. moodle.org14. mooc.org15. bwrcs.eecs.berkeley.edu/Classes/IcBook/SPICE16. C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 ASEE Annual Conference & Exposition. Washington, D.C., ASEE, 2012.17. B. J. Skromme et al., “Teaching linear circuit analysis techniques with computers,” in Proceedings of the
design requirements and an understanding of material behavior. Q12 – I feel confident discussing material behavior with my peers. Q 13 – I feel confident discussing material behavior with my instructors.Tables 7 and 8 summarize the results.Table 7: Changes in student-reported confidence and perceptions by delivery method and performancerequirement. Q11 Q12 Q13 Pre Post Delta Pre Post Delta Pre Post DeltaDEDP 3.54 3.75 0.21 3.08 3.83 0.75 2.92 3.42 0.50OC ‐ Traditional 2.89 4.14 1.24 2.70 4.19 1.49 2.62 3.84 1.22OC ‐ SCALE‐UP 2.60 4.00 1.40 2.57
, 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.
. and Lawrence, C.R., 2001. Water capture by a desert beetle. Nature, 414(6859),pp.33-34.17 Zheng, Y., Bai, H., Huang, Z., Tian, X., Nie, F. Q., Zhao, Y. & Jiang, L. (2010). Directionalwater collection on wetted spider silk. Nature, 463(7281), 640-643.18. Vollrath, F., & Knight, D. P. (2001). Liquid crystalline spinning of spider silk. Nature,410(6828), 541-548.19. Das, S. (2001). The cost of automotive polymer composites: a review and assessment ofDOE's lightweight materials composites research (p. 47). Oak Ridge, TN: Oak Ridge NationalLaboratory.20. Joost, W. J. (2012). Reducing vehicle weight and improving US energy efficiency usingintegrated computational materials engineering. Jom, 64(9), 1032-1038.21. Skszek, T. W., Zaluzec, M
. 2015.6. Tsatsaronis, G., M. Halkidi, and E.A. Giakoumakis, Quality Classifiers for Open Source Software Repositories. 2009.7. Idri, A., F.a. Amazal, and A. Abran, Analogy-based software development effort estimation: A systematic mapping and review. Information and Software Technology, 2015. 58: p. 206-230.8. Catal, C., Software fault prediction: A literature review and current trends. Expert systems with applications, 2011. 38(4): p. 4626-4636.9. Song, Q., et al., A General Software Defect-Proneness Prediction Framework. IEEE Transactions on Software Engineering, 2011. 37(3): p. 356-370.10. Dowling, P. and K. McGrath, Using Free and Open Source Tools to Manage Software Quality. Queue, 2015. 13(4): p. 20-27.11. Bourque, P. and R.E
(1student). Both classes were given 2 weeks to work on the project. During the two weeks oftime, project review and Q&A session are given in the exact same way. At the end the twoweeks, project reports were expected from each group or each student. A quiz was given toassess the student learning outcomes of the knowledge related to the project. The wholeexperimentation setting is shown in Figure 2 (a) below. Figure 2 (b) shows the designrequirement of the shaft in a typical setup. (a) (b) Figure 2: (a) Settings for group and individual project, (b) typical view of shaft design.Therefore, by assessing the report and quiz, the learning outcome could be concluded
= (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
Course Introduction and Design Prepare Team Contract Problem Presentation Brainstorm Questions for Client 3 Client Presentation and Q&A Plan Project 4 Introduction to Microsoft Project / Prepare project Gantt Chart Gantt Chart 5 Intellectual Property Patent Search exercise 6 Exam 7 Management Plan Process Work on Design 8 Marketing Plan Process Work on Marketing Plan 9 Organizational Plan Work on Organizational Plan 10 Break Break 11 Financial Resource Management Guided Financial Plan problem in laboratory 12