results generated, the students’ perception is that ALEKS helped them tobetter perform in the class by reviewing the math pre-requisite knowledge.REFERENCES[1] R. Zaurin, "Preparing the Engineering Student for Success with IDEAS: A Second YearExperiential Learning Activity for Large-size Classes," in Proceedings of the 125th AmericanAssociation of Engineering Education National Conference (125th ASEE-2018), Salt Lake City,2018.[2] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett and M. K. Norman, HowLearning Works: 7 Research-based Principles for Smart Teaching., San Francisco, CA: Jossey-Bass., 2010.[3] L. Santiago, "Retention in a First-Year Program: Factors Influencing Student Interest inEngineering," in 120th ASEE Annual
Construction Accidents: A China Perspective," Adavanced Management in Civil Engineering Projects, vol. 2018, p. 15, 2018.[4] V. Mawdesley and M. J. Thevendran, "Perception of human risk factors in construction projects: an exploratory study.," International Journal of Project Management, vol. 22, no. 2, pp. 131-137, 2004.[5] S. G. Naoum, "Factors influencing labor productivity on construction sites: A state-of-the- art literature review and a survey," International Joural of Productivity and Performance Management, vol. 65, no. 3, pp. 401-421, 2016.[6] D. R. Kouabenan, R. Ngueutsa and S. Mbaye, "Safety climate, perceived risk, and involvement in safety management," Safety Science, vol. 77, pp. 72-79, 2015.[7] N. Xia, Q. Xie, X
ICD2 AND previous laboratory exercise. Students are MPLAB ICD2 In- PICDEM 2 PLUS — asked to modify the program(s) so that they can Circuit Debugger Scrolling LCD write the words they wish to scroll on the LCD. and Demo Board4. INTRODUCTION TO This laboratory exercise allows students to • DV164006 2-weeks THE PICDEM NET2 develop Internet connectivity applications over MPLAB ICD2 In- DEVELOPMENT an Ethernet connection using embedded Circuit Debugger ENVIRONMENT_1 Microchip controllers over Ethernet and the and Demo Board Internet. Students will get familiar with the • DM163024
Education, Vol. 94, No. 1, 2005, pp 103 – 120.2. “HMC Department of Engineering”, http://www.eng.hmc.edu/EngWebsite/index.php, accessed on Jan. 13, 2008.3. Okudan, G., Ogot, M., Zappe, S., and Gupta, S., “Assessment of Learning and its Retention in the Engineering Design Classroom Part A: Instrument Development,” (CD) Proceedings, ASEE Conference and Exhibition, 2007.4. Okudan, G. Ogot, M. and Gupta, S., :Assessment of Learning & Its Retention in the Engineering Design Classroom Part B: Instrument Application,” Proceedings, ASME International Design Engineering Technical Conference IDETC, 2007.5. Torrance, E. P., Bau, E. O., & Safter, H. T. (1992). Torrance Tests of Creative Thinking: Streamlined scoring
AC 2008-72: THE COGNITIVE AND AFFECTIVE DOMAIN IN ASSESSING THELIFE-LONG LEARNING OBJECTIVEJoseph Hanus, United States Military AcademyScott Hamilton, United States Military AcademyJeffrey S. Russell, University of Wisconsin - Madison Page 13.1209.1© American Society for Engineering Education, 2008 The Cognitive and Affective Domain in Assessing the Life-Long Learning ObjectiveAbstractThe success of the engineering profession requires students to be educated in the technicalpractices and inspired to develop the traits of life-long learning. The authors’ objective is todemonstrate the use of the cognitive and affective domains in
, causality binds together reasoning processes that are commonto all STEM disciplines, including making predictions, drawing implications, making inferences,and articulating explanations.PredictionsReasoning from a description of a condition or set of conditions or states of an event to thepossible effect(s) that may result from those states is called prediction. Prediction assumes amore or less probabilistic relationship between causal antecedent(s) and effect(s) because apotentially large number of causal relationships can participate in the occurrence of the effect.The two primary functions of prediction are forecasting an event (e.g., economic ormeteorological forecasting) and testing of hypotheses to confirm or refute scientific
number of international studentsstudying and remaining to work in the United States engineering workforce after graduation 4.African American, Hispanic and other racial/ethnic minorities make up 6% of the S&Eworkforce, and women make up 25%. These percentages contrast sharply with thedemographics of these groups in the current overall population and workforce; by 2020 over Page 13.778.240% of college-aged students will be racially/ethnically diverse3.Currently, the U.S. engineering workforce remains 90% white and male; engineering, inparticular, has not attracted women and URMs. Baccalaureate degrees received by both URMsand women in
. Employment growth willbe driven by increasing demand for healthcare and social assistance because of an agingpopulation and longer life expectancies. Employment in administrative support and wastemanagement and remediation services is projected to grow by 31 percent and add 2.5million new jobs to the economy by 2014. Service industries have accounted for almostall U.S. job growth since the 1960’s. Wages in the service sector overall have risen fasterthan wages in most other sectors.The Bureau of Labor Statistics has the most complete information concerning IE and IETemployment. Analysis of their data is somewhat limited due to the lack of informationabout job titles or degree types. Another gap in the data concerns the other job titles thatIEs and
G G G G Construction E E E G E E groupLegend: E-Excellent G-Good S-Satisfactory NI-Needs improvement U-UnacceptableBased on the qualitative assessment of both groups as shown in Table 2, it is evident that thestudents were able to satisfactorily meet the stated objectives. The second group obtained abetter rating because they showed a higher commitment to the project and took the initiative topropose design modifications. The design and construction of the GSHP showed the students’ability to deal with a relatively-complex real-life application with little supervision. From thestudents’ point of view
2006-1389: THE UNDERGRADUATE RESEARCH EXPERIENCE AS IT RELATESTO RESEARCH EFFICACY BELIEFS AND THE IMPOSTER PHENOMENONDe'Jeune Antoine, Xavier University of Louisiana De'Jeune S. Antoine is a dual-degree Physics and Biomedical Engineering major. She actively participates in several clubs and organizations, including National Society of Black Engineers (NSBE), Alpha Kappa Alpha Sorority, Inc., and youth mentoring. De'Jeune's research interests include cardiovascular instrumentation and engineering education.Mica Hutchison, Purdue University Mica A. Hutchison is a Ph.D. candidate in the Department Engineering Education and the Department of Chemistry with research interests focused on engineering
equipment.References1. SME Manufacturing Engineering – Automation Technology: Robotic AutomationCan Cut Costs, pp. 65 - 72, December 2005.2. SME Manufacturing Engineering – Tomorrow’s Factory: Manufacturing IndustryTakes First Steps Toward Implementing Collaborative E-Manufacturing Systems, pp. 43-60, Nov. 2001.3. SME – Machine tools begin connecting to the Internet Manufacturing, 9/2001.4. Koc, M., Ni, J. and Lee, J., “Introduction of e-manufacturing,” Proceedings of theInternational Conference on Frontiers on Design and Manufacturing, Dalian, China, July2002.5. Lee, J., 2003, “E-manufacturing—fundamental, tools, and transformation,” Roboticsand Computer-Integrated Manufacturing, Volume 19, Issue 6, pp. 501-507.6. Ahn, S. H., Bharadwaj, B., Khalid, H., Liou
thisis to deploy a passive tap with minimal effect on network operations. The sensor is deployed onthis tap between the external firewall and the internal network such that it can monitor all thetraffic that enters (and departs) over that connection. This allows the sensor to examine all of thedata associated with the external link so that it can be effectively used to monitor incoming (andoutgoing) attacks. The snort machine is located at the main router on campus, which is connectedto the Internet by a 100Mb/s full-duplex Ethernet link. Data was collected on the network tapover a period of one week by running Snort in a stealthy packet logging mode.The goal of the analysis is to create descriptive information from the raw TCPDUMP files, thento
)). Lichtenstein reported tthat 66% of theseniors su urveyed indiicated that thhey would definitely or pprobably conntinue in an engineeringg-related fiield three yeaars post-gradduation.11 Lichtenstein’ L s results felll between the public (80%)and the private p (58.5%) institutioons, as shown n in Figure 33. By comparison, the W WECE studyyasked stuudents about their plans to t persist in an engineeriing related ffield seven yyears post-graduatioon and reporrted affirmatiive responsees from 80% % of seniors.5 And in coomparing theepublic annd private institutions, ov verall the ressponses are sshifted towaards more aff ffirmative plaansfor professional persiistence at
materials and processes with a view to maximize energy conservation, minimize environmental impact and facilitate sustainable development via recycling / reuse. Be something that you can realistically prototype without costing a fortune. Prototype must look and feel as much like the final design as possible Have some special characteristic(s) that will make it marketable e.g. added functionality, pleasing appearance, lightweight etc. Try to come up with a concept for a tool or product that you would like to own and that you want to work on.4. Course Implementation4.1 IDS Course Delivery Tasks and TimelineEngineering and marketing students work together to develop ideas for new product(s).Marketing
educational objectives. New York: Longman.3. Astin, A. W., & Astin, H. S. (1992). Final report: Undergraduate science education: The impact of different college environments on the educational pipeline in the sciences. Los Angeles, LA: Higher Education.4. Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.5. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman and Company.6. Bloom, B. S., Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals, by a committee of college and university examiners. Handbook 1: Cognitive domain. New York, NY: Longmans.7. Butler, D (1998). A strategic
Agree Stronglyclasses prior to conducting the Disagree Agree Meancentrifuge experiment: 1 2 3 4 5the in class lectures and discussionprepared me for conducting the 0 20.6% 23.5% 50.0% 5.9% 3.4experimentthe remote lecture(s) anddiscussions(s) prepared me for 0 3.0% 30.3% 48.5% 18.2% 3.8conducting the experimentthe in-class lectures anddiscussions prepared me foranalyzing the results of the 0 17.6% 35.3% 35.3% 11.8% 3.4experiment.the remote lecture(s) anddiscussion(s) prepared me foranalyzing the results of the 0
think a beginning course is necessary.Yes.Maybe a course to cover more forms of alternative power.Yes. Include smart grid fundamentals. This is extremely relevant to electrical considering going intoPower. 4. List the reason(s) why you are taking the course and if the course met your expectation.I took it because it sounded interesting and it is. I did not expect so much work though. Some of thematerial taught was very complex.This is my second time to take it. I continued to learn new and interesting material. The courseexceeded my expectations.I am taking this course because solar energy technology is improving and I find this topic very interestingand useful for the future.Technical elective for a mechanical technology degree. I think it
, such as silicon. Ni80Fe20 has excellent magnetic and electricalproperties, however, the mechanical properties of electrodeposited NiFe have not been studiedextensively, thus providing an excellent opportunity for upper-level STEM students to engage inrelevant, material’s oriented laboratory experiences.Electrodeposition is the process used in electroplating, whereas electroplating is the process ofusing electrical current to reduce metal cations—an atom or group of atoms carrying a positivecharge—in a solution and coat a conductive object with a thin layer of metal3. The primaryapplication of electroplating is to deposit layer(s) of a metal having some desired property(example, abrasion and wear resistance, corrosion protection, lubricity
the IEEE Std 830-1998 Recommended Practice for SoftwareRequirements Specifications.” In addition, the students’ submissions should also address thefollowing tasks: • Identify the section(s) of your Requirements Document where the information related to the requirements’ customers and stakeholders is to be presented. Provide the customers and stakeholders information as part of the document or as an Appendix. • Identify the section(s) of your Requirements Document where, besides the natural language requirements, the requirements analysis and specification process would benefit from the use of diagrams (use cases, data flow diagrams, state-machine-diagrams, etc.) to better understand the needed
y Q = source emission rate [g/s] u= wind speed [m/s] y = crosswind distance from stack of point of interest [m] z = vertical height of point of interest (0 for ground-level concentration)[m] H =effective stack height [m] (includes plume rise) σy =horizontal stability parameter [m] σz =vertical stability parameter [m] Page 24.52.4 The horizontal and vertical stability parameters can be estimated using Pasquill-Giffordcurve fits from Turner (1969
ASE degreeprovided similar expertise, however, the salary profile for individuals with the accredited andunaccredited degrees should converge in a meritocracy.Kazmer and Badaro1 found that engineering salary data, s, followed a Gompertz type sigmoidalbehavior as a function of time: (3)where sb is the base salary at the onset of engineering work, rs is the annual rate of salaryincrease, t is the number of years of work experience, and is the half-life of the engineeringsalary function. This model suggests that all salaries will tend to decay unless rate of salarygrowth is high and the half-life of the career is long; only graduates from a few
. Vasquez, S. Crown, C. Villalobos, R. Wrinkle, O. Ramirez, M. Gonzalez, “Increasing Student Access, Retention, and Graduation Through an Integrated STEM Pathways Support Initiative for the Rio South Texas Region – Year One Activities and Results,” ASEE Annual Conference and Exposition, 2010. 2. D.S. Cordray, T. Harris, S. Klein, “A Research Synthesis of the Effectiveness, Replicability, and Generality of the VaNTH Challenge-based Instructional Modules in Bioengineering”, Journal of Engineering Education, 98 (4), pp.335-348 (2009). 3. M. J. Prince, and R. M. Felder, “Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases”, Journal of Engineering Education, 95(2), 123
learners’ ability to identify these conditions and transform what they know intoinformation they can use in the current contexts. Challenge-based instruction serves as amechanism for students to develop these skills and abilities by framing classroom instructionaround a challenge or set of challenges. A challenge problem, introduced at the beginning of a Page 23.281.2course or topic, provides an introduction to the major concepts that will be presented as a part offormal learning. The major concepts are thenpresented in a classroom setting with thechallenge(s) serving as a focal point. Studentsare then required to identify the fundamentalmechanics
create sensor values in the range of 0-30cm. This range is based on pre-planning for physical implementation. The simulation produces two ofthese inputs, one for the left side and one for the right side of the simulated system. Both values arepropagated straight into the FL controller. The Fuzzy Logic controller contains two input membershipfunctions (MF). The functions are identical, but one processes the left sensor inputs and the otherprocesses the right sensor inputs. Five linguistic variables were used as: {VS, S, M, W, VW } denotingVery Strong , Strong , Medium, Weak, and Very Weak. An input falling within the VS membershipcategory indicates and object is very close, and conversely an input within the VW membership categorymeans an object
Scholar and an IEEE Fellow. Professor Loui was associate dean of the Graduate College at Illinois from 1996 to 2000. He directed the theory of computing program at the National Science Foundation from 1990 to 1991. He earned the Ph.D. at M.I.T. in 1980.Mrs. Kerri Ann Green, University of Illinois, Urbana-ChampaignDr. David E. Goldberg, ThreeJoy Associates, Inc. and the University of Illinois Dr. David ”Dave” Goldberg is president and founder of ThreeJoy Associates, Inc. and is a consultant, trainer, and coach to students, faculty, and administrators in higher education. Prior to founding ThreeJoy Associates, Dr. Goldberg was the Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial En- gineering at the University
devices, 110 3.3 V (5 V tolerant/TTL compatible) digital I/O lines, 32 single-ended/16 differential 16-bit analog input channels at 250 kS/s, four 16-bit analog output channelsat 100 kS/s, and a 10/100BASE-T Ethernet port. The sbRIO can be programmed in acombination of programming languages like LabVIEW, LabVIEW MathScript, VHDL, andANSI C. The TETRIX Building System consists of aluminum parts, DC motors, gears, andwheels for building robotic hardware platforms. Figure 2 is a photograph of DaNI with anultrasonic sensor mounted on top of a servo motor. KINECT RGB Camera USB 3D Depth
of students skills. Table 3 listsall skill outcomes, while table 4 summarizes the 2-year pre and post survey data on skill growth.In fact, it is more obvious that the greatest growth happened in those skills that were directlyaddressed by the CPBL experience.Table 3. Skill sets evaluated via pre and post surveys in CS470 and EE440. Skill Outcomes in EE440 and CS470 General Skills Specific Skills related to OPNET projectsS-1. General computing skills S-6. Ability to design and implement a network scenario in OPNETS-2. Communication skills S-7. Ability to analyze the network performance using simulationsS-3. Math skills S-8. Ability to
grantat Wright State University. Any opinions, findings, conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation or Wright State University.Bibliography1. McKenna, A., McMartin, F. and Agogino, A., 2000, "What Students Say About Learning Physics, Math and Engineering," Proceedings - Frontiers in Education Conference, Vol. 1, T1F-9.2. Sathianathan, D., Tavener, S., Voss, K. Armentrout, S. Yaeger, P. and Marra, R., 1999, "Using Applied Engineering Problems in Calculus Classes to Promote Learning in Context and Teamwork," Proceedings - Frontiers in Education Conference, Vol. 2, 12d5-14.3. Barrow, D.L. and Fulling, S.A., 1998, "Using
and high school social studies classes. Page 23.144.1 Dr. Gardner-McCune recently completed a year and a half long Post-Doctoral Research position in com- puter science education at Georgia Institute of Technology’s College of Computing where she led the design of the I-3 Experience programs. She holds a B. S. degree in Computer Engineering from Syra- cuse University, and earned both her masters and doctorate in Computer Science from Georgia Institute c American Society for Engineering Education, 2013
, Criterion e.2 “Solve electrical and computer engineering problems involvingbasic theory of circuit elements, electronic devices, and digital logic,” three measures are theoverall score on the common final and two selected problems on the common final with a goal ofthe median score being 80% or better. • Final: Students are required to have a C or better on the final examination, e.g. 65%-70% (the minimum cutoff percentage selected for each final) . • Problem: Students will be given a transistor (BJT or FET) circuit and will be asked to determine the DC operating point. • Problem: Students will be given an OpAmp circuit and will be asked to determine the output voltage or current as a function of input signal(s).For