engineeringprograms.The analysis presented in Table 3 shows that preparation was a significant factor in determininggraduation in five years. This analysis included all students regardless of gender or ethnicity. Table 3. Binary Logistic Regression showing impact of five factors on success in engineering. B S.E. Wald df Sig. Exp(B) Commitment 0.099 0.048 4.277 1 0.039 1.104 Confidence 0.014 0.048 0.083 1 0.773 1.014 MathSciPrep 0.060 0.021 8.507 1 0.004 1.062 Value -0.019 0.020 0.874 1 0.350 0.982 InternalMotivation -0.019 0.025
an Arduino microcontroller for a class project, not including ME 100L? 7a) If you answered “Yes” to question 7, were you required to Arduino or did you choose to use Arduino on your own?8) Have you used an Arduino microcontroller for a project unrelated to schoolwork? 8a) If you answered “Yes” to question 8, briefly describe the project below.9) How confident are you in using Arduino? (circle one) a) very confident b) somewhat confident c) neither confident or unconfident d) somewhat unconfident e) very unconfident f) I have never used Arduino10) How beneficial was ME 100L for your other mechanical engineering courses? (circle one) a) very beneficial
asked on the undergraduate dynamics common final. (a) (b)Figure 9. Student responses to multiple choice conceptual questions seen in Figure 8. The correct answers are labeled in the axis and outlined.As seen in Figure 9(b), many students were able to successfully determine the directionof the friction force regardless of whether or not they participated in the Spool IBLA;however, there was a discrepancy amongst IBLA and non-IBLA students in determiningwhich way the spool would move as seen in Figure 9(a). Significantly more students whoparticipated in the Spool IBLA incorrectly answered the first question regarding the spoolmotion as compared to their
student teams were evaluated by their peers and thefaculty members using the questionnaire in Table 1 and the Likert scale. Table 1: MeSEE project evaluation questionnaire______________________________________________________________________________1. To what extent did the team demonstrate the ability to design and conduct experiments, as well as to analyze and interpret data? - (b)2. To what extent did the team demonstrate ability to design a system, component, or process to meet desired needs within realistic constraints such as safety, manufacturability, and sustainability? - (c)3. To what extent the team was able to function on multidisciplinary teams? - (d)4. To what extent did the team use the techniques
memory using experimental data. (a) (b) Figure. 4. (a) Conventional GPGPU with DRAM as global memory. (b) GPGPU with PCM as hybrid memory.III. Hybridization using STT-RAM and RRAM as NVMThe research on hybridization of memory shows that hybrid memory system with globalmemories as STT-RAM and RRAM along with DRAM to provide greater bandwidth, lowerlatency and optimal power consumption 16. According to our study, only a fraction of memory isfrequently accessed during run time. Thus, infrequently accessed can be stored in NVMs whichare managed in stand-by mode with near zero power consumption. As shown in the below figure,leakage power of NVM’s are lesser than DRAM. It has been
Engineering Courses. 2016. 2. Dunn R. Learning styles: Theory, research, and practice. 2000. p. 3–22. 3. Carberry A, Krause S, Ankeny C, Waters C. “Unmuddying” course content using muddiest point reflections. IEEE; 2013. p. 937–942. 4. Kamble S, Tembe B. The effect of concept maps on achievement and attitude in a mechanical engineering course. IEEE; 2012. p. W1B–1. 5. Rugarcia A, Felder RM, Woods DR, Stice JE. The future of engineering education I. A vision for a new century. Chem Eng Educ. 2000;34(1):16– 25. 6. Bonwell CC, Eison JA. Active Learning: Creating Excitement in the
curriculum and resources for the materials science course in this study were designed so asto: A. Align with a statewide course descriptor6 for a 4-unit (3-unit lecture and 1-unit lab) introductory materials science course, which is required as part of a statewide 2-year transfer model curriculum for students in Aerospace, Civil, Mechanical, and Manufacturing Engineering.7 B. Allow flexibility for a variety of delivery formats (e.g., flipped, online, emporium, etc.). C. Achieve the thirteen objectives for engineering educational laboratories defined by the ABET/Sloan Foundation effort.8 D. Require some minimum number of on-campus experiments in a traditional materials testing lab that would satisfy objectives A and C
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20693Introduction to Engineering Using Interactive Video in Support of a FullyOnline Flipped Classroom ApproachProf. John M Santiago Jr, Colorado Technical University Professor John Santiago has been a technical engineer, manager, and executive with more than 26 years of leadership positions in technical program management, acquisition development and operation research support while in the United States Air Force. He currently has over 16 years of teaching experience at the university level and taught over 40
display the test results for a free vibration test for both the unsynchronized data andsynchronized data as typical examples to demonstrate the effectiveness of the proposedsynchronization method. The x-axes represent time in seconds and the y-axes representacceleration in m/s2. The blue and purple lines refer to the accelerometer data collected from thetwo Shimmers attached on top of the SDOF structure and the orange and green lines refer to theaccelerometer data collected from the two Shimmers fixed on the shake table.Figure 4. Unsynchronized Data – Free Vibration Test (a) Time History Data; (b) Zoom-in Plot Figure 5. Synchronized Data – Free Vibration Test (a) Time History Data; (b) Zoom-in PlotFigure 6. Unsynchronized Data
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20673Engaging Community College Students in Computer Engineering Researchthrough Design and Implementation of a Versatile Gesture Control InterfaceJeffrey Thomas Yan ˜Mr. James LeRoy Dalton, Canada College James is a 2nd year electrical engineering student at Ca˜nada College in Redwood City, California with hopes to transfer to UC Berkeley in fall 2017. ˜Kattia Chang, Engineering Student at Canada College I am an Electrical Engineering student with
between our digital course offerings underscore known problems with knowledgeretention by students.Our New Digital Design ParadigmFigure 1(a) shows our previous approach to modeling digital circuits, where we classify alldigital circuit signals as either inputs or outputs. Figure 1(b) and Figure 1(c) shows how we nowseparate digital modules into “controlled circuits” and “controller circuits”. Note in Figure 1(b)and Figure 1(c) that the control outputs of the controller circuit provide the control inputs to thecontrolled circuit. Similarly, the status outputs of the controlled circuit form the status inputs ofthe controller circuit. Standard digital circuits such as registers and multiplexors (MUXes) areexamples of controlled circuits while FSMs
far-fieldand 56 are near-fault [8].3. Student Project FindingsAfter ten weeks of work, the civil engineering team accomplished the research objective. Thefollowing presents representative project outcomes. Figure 3 presents the effect of massestimation on the CR-algorithm. The error ranges from -50% to 50%. Similar findings can beobserved for two different ground motions in Figures 3 (a) and 3(b) for SDOF structures withdifferent natural periods. The accuracy of the CR algorithm decrease with the increase of theerror in the mass estimation. Figure 3. RMS error for mass estimation (a) ground motion 12, (b) ground motion 33 Figure 4. RMS error for viscous damping estimation (a) ground motion 12, (b) ground motion 33Figure 4
theirradiance of the UV LEDs during the cure testing of the composites. LED Heat sink (a) (b) (c)Figure 2. (a) Side view of a UV curing system that is integrated with the extruder needle. (b) Eightequally spaced 365nm UV light emitting diodes (LED) embedded in the curing system provides aquasi-isotropic lighting environment. (c) Magnified view of the embedded LEDs.3. Materials: Fibers and MatricesNarrowing down the matrix-fiber combination was necessary to focus on a composite mixture
., Kellam, N., Lande, M., Brunhaver, S., Jordan, S., Bekki, J., Carberry, A. and London, J. “Instigating a Revolution of Additive Innovation.” In proceedings of American Society for Engineering Education Conference. 2016. New Orleans, LA.5. Sheridan, K., Halverson, E. R., Litts, B., Brahms, L., Jacobs-Priebe, L., & Owens, T. “Learning in the making” Harvard Educational Review, 84(4), 505–531. 2014.6. Wenger, E. “Communities of practice and social learning systems.” In Blackmore, C. (Ed.) Social Learning Systems and Communities of Practice. Springer Verlag and the Open University. 2010.7. Jordan, S., Douglas, E., Lande, M. & Bumbaco, A.G. “Artifact Elicitation as a Method of Qualitative Inquiry in
achieved a higher bonus than Team B with a rank of 2.For Team B, the initial grade is 5/10 and the bonus is 0.6/1.6 .It means speed and accuracy areboth important factors to gain a greater bonus. Table 1: ee255-01-W2017 CW1 ee255-01-W2017 CW1 Max. Grade is 10 Your Initial Max Available Max Grade Your Your Final Teams Rank # of Teams Grade Bonus With Bonus Bonus Grade A 1 16 8 2.0 12.0 2.0 10.0 B 2 16 5 1.7 11.7 1.3
grading system(see Figure 1 and Figure 2). 18 16 14 Number of Students 12 10 F2F 8 HA 6 Flipped 4 2 0 A A- B+ B B- C+ C C- D+ D D- F Midterm Exam - Grade DistributionFigure 1 – Midterm
output gate S0 can be chosen. For inputs (A1, B1), gate AXB1 or the sum output gateS1 can be chosen. For inputs (A2, B2), only gate AXB2 can be chosen. For inputs (A3, B3),gates GB3, PB3, or AXB3 can be chosen. There are 12 possible combinations. Two examplesof combinations are shown in Figure 11. (a) One possible combination: gates GB3, AXB2, (b) Another possible combination: gates PB3, AXB2, AXB1, and S0. AXB0, and S1. Figure 11. Two possible sets of independent selected gatesThe dependent selection are gates that reside along the same path and can be subsequent to eachother. The algorithm applied to this selection chose specific gates with delay overhead. Twoexamples of the selection are
Figure 3. It was an iterative process in which the twoindependent coders first placed all the feedback items as shown in Figure 3 (a), thenreorganized them into groups of different categories as shown in Figure 3 (b). (a) Initial Placement (b) Categorization Figure 3. Snapshots of the Card Sorting Task The card sorting identified the eight themes shown as the bright Yellow sticky notes inFigure 3 (b) that would hinder their learning of nanotechnology. The eight themes are 1. Lackof Informational Resources to Learn, 2. Little Background in Science, 3. No Involvement in theSubject Area, 4. Limited Human Resources to Communicate on the Topic, 5. Lack of Time toLearn, 6. Subject
workshop would like to thank the Electrical Engineering department of our school forproviding lab space for us every week, the Biology department for providing $500 in funding forworkshop materials, and Drs. Bridget Benson and Dennis Derickson for supporting the development ofthis student-taught robotics workshop.References[1] F. B. V. Benitti, "Exploring the educational potential of robotics in schools: A systematic review.,"Computers & Education, vol. 58, no. 3, pp. 978-988, 2012.[2] A. Melchior, F. Cohen, T. Cutter, T. Leavitt and N. Manchester, "More than robots: An evaluation of thefirst robotics competition participant and institutional impacts," Heller School for Social Policy andManagement, Brandeis University, 2005.[3]A. Behrens et
all group members will receive the same grade b) I fully participate in group work when I will be evaluated primarily on my individual contributions to the project. 5-point Likert c) I fully participate in group work when I will be evaluated both on scale my individual contributions and the group's overall product. d) If I do not understand what my group member is doing or why a solution works, I get my group member to teach me. e) If I do not understand what my group member is doing or why a solution works, I always figure it out before the project is submitted.4) On a scale of 1 to 5, please rate your level of agreement with the 5-point Likert following
states “ASU is a comprehensivepublic research university, measured not by whom we exclude, but rather by whom we includeand how they succeed”. Postsecondary education faculty need to be aware of ASD students sincethey want the “same opportunity for success, not the right of success.”10Bibliography1. VanBergeijk, E., Klin, A., & Volkmar, F. (2008). Supporting more able students on the autism spectrum: college and beyond. Journal of Autism and Developmental Disorders, 38, 1359-1370.2. White, S. W., Ollendick, T. H., & Bray, B. C. (2011). College students on the autism spectrum. Autism, 15(6), 683-701.3. Adreon, D., & Durocher, J. S. (2007). Evaluating the college transition needs of individuals with high- functioning
., & Steckelberg, A. L. (2010). Assessor or assessee: how student learning improves by giving andreceiving feedback. British Journal of Educational Technology, 41 (3), 525-536.[14] Ertmer, P. A., Richardson, J. C., Belland, B., Camin, D., Connolly, P., Coulthard, G., et al. (2007). Using peerfeedback to enhance the quality of student online postings: an exploratory study. Journal of Computer-MediatedCommunication, 12, 412-433.[15] van der Poel, J., van den Berg, B. A., Admiraal, W. F., & Simons, P. R. (2008). The nature, reception, and useof online peer feedback in higher education. Computers & Education, 51, 1804-1817.[17] van Zundert, M., Sluijsmans, D., & Merrienboer, J. v. (2010). Effective peer assessment processes
. 2. The user implements what is assumed to be the solution, then requests that the solution be graded by clicking on CIRCLE 12. If the solution is wrong, then a point is deducted and feedback or a hint is provided that should help in the user’s next attempt. 3. The user keeps repeating step 2 until a. A correct solution is attained. One point is deducted for each incorrect attempt or b. All 10 attempts at generating the correct diagrams are exhausted. A score of 0/10 is recorded and the score is locked.If the user abruptly terminates steps 3a or 3b a score is not recorded.Circle 10: Select Reaction Name OptionEach arrow or torque that is dragged onto the free-body or kinetic
, the NCWIT resources and publications, we designed a set ofstrategies and activities to strengthen several areas to improve recruitment and retention of womenin computing and engineering.III. RecruitmentWe selected three recruitment strategies that NCWIT has identified as successful at otheruniversities and that could be implemented at CSULB in a short timeframe [3]: a) increaseoutreach to accepted students, b) improve messaging on relevant websites and print materials, andc) conduct roadshows at area high schools and community colleges.A. Outreach to accepted studentsIn Spring 2016, we began our recruitment by writing an email to students admitted for the Fall2016 semester into one of the four computing and engineering majors. The email
circuits; learning from failure; andcreativity in problem solving.Remote online learners working independently on circuit labs and out of sight of the instructorare liable to encounter overwhelming difficulties and may be unable to resolve anomalousmeasurements. To mitigate these challenges, a guiding philosophy was adopted to A) keep labssimple to the extent possible; B) aim to provide “fault proof” activities, and C) rely on the use ofcircuit simulation and other virtual lab opportunities for a greater proportion of the activities.Alongside the content, a set of support resources for online learners was also developed,including a set of studio video tutorials produced by a former student of the class, a discussionforum for posting questions and
of the Engineering Graphicscourse. The online section was taught by the engineering instructor (Professor A) who developedthe online course. The face-to-face course was taught by an adjunct instructor (Professor B) whowas teaching the graphics class for the first time. The two instructors used the same PowerPointlectures to deliver content to students. For the online class, the PowerPoint slides were presentedin pre-recorded lecture videos, while the PowerPoint slides were presented by the instructorduring class time for the face-to-face section. The same laboratory exercises with the samelaboratory handouts were given to students in both sections, with the F2F students completingthe labs during class session with assistance from the
voluntarily participate in the survey. This means that the survey participantswere actually representative of over 30% of Materials Engineering majors if thefreshman class is not included. They were asked to consider assignments pertaining tothe Materials Engineering major and technical elective classes. The full survey is shownin Appendix A. Questions 5 – 12 of the survey refer to a typical assignment from atechnical course. Questions 14 – 17 of the survey focus on learning efficacy, wheresurvey respondents are asked about their preferred method of submitting a givenassignment (shown in Appendix B), and whether the assignment submission methodaffects retention of information from the given assignment.One consideration that was not part of the survey
have been motivated to complete the assignment in advance to attend thehome game, and (b) Homework 7 was due the day after a national holiday (Veteran’s Day)giving them a chance to get ahead. With 20% of the students withdrawing in the fall 2015 EEE463 courses, the decreasing number of plays toward the end of the term is expected. It isimportant to acknowledge that some of this peak viewing may be due to replays to provideassistance for solving the homework problems. Interestingly, data from the spring-summer 2016offerings of EEE 460 showed that both the on-campus and online students demonstrate verysimilar procrastination behavior, even though the online students have been assumed to be moremature. Figure 4. EEE 463 lecture
updated value is presented in this paper and new output data are included from the models.Rate Expressions and Material Balances Rate expressions are typically introduced to both chemical and environmentalengineering students when the subject of chemical reaction kinetics arises. Although actual rateexpressions can only be determined through the use of experiments, initial information can beobtained by simply assuming that the rate expression may derived directly from the molecularityof the system. Thus, elementary reactions with the following forms: (Reaction a) A à Products, (Reaction b) B+D à Products
the videos? At home, school, on the bus, other? 4) While watching the videos, did you: a. Take notes? b. Pause the video periodically? c. Write down questions when necessary? d. Re-watch sections when necessary? e. Other? 5) Lecture videos vs. traditional classroom. The lectures are: a. Much better than traditional class b. Better than traditional class c. About the same d. Worse than traditional class e. Much worse than traditional class 6) The lecture videos helped me learn course concepts a. Strongly agree, agree, no opinion, disagree, strongly disagree 7) General