field constitute legitimate exceptions to stricturesagainst text recycling.A problematic area involves translations: while some may view translating an article from onelanguage to another as intellectually suspect and perhaps a case of duplicate publication, Wenand Gao offer a compelling argument that this practice actually “maximize[s] the effectivenessof academic communication and equalize[s] the rights of creating, distributing and accessingknowledge.”12 Furthermore, they note, that moving from one language to another involves morethan simply translating the words. It may include adding extra background information,completely revising the scope of the literature review, and, in general “reposition[ing] theresearch in an international context
) Semester Outline Week Lecture Topic(s) Laboratory Topics 1 Site & Project Design Loading Overview Criteria -Structural Subsurface Loading Exploration Program -Wind Pressure Layout -Snow Loads Page 26.1019.5 -Building Codes (Mass, IBC) 2 RISA-2D Lecture Site Geology & Truss Analysis using and Examples Soil
, etc.), (2)their opinion on how the project helped them learn the subject content (e.g., controls conceptsand methods), and (3) their opinion on how the project helped them learn the computer tools(e.g., MATLAB and SIMULINK functions). The complete survey questionnaire is included inAppendix II. TABLE II compiles the survey results.TABLE II. Student Self-Evaluation with End-of-Project Survey Mean Mode(s) Standard Deviation Student General Perception 1. Interesting and motivating 3.6 3 0.99 2. Sense of accomplishment 3.5 3, 4 0.87 3
. Thepresentation should focus less on note taking strategies and more on ways to transforminformation, with supplemental readings attached. The addition of the “supplement” part of theStudy Cycle appeared to be extremely valuable as students self-reported use of campusresources, peers, TA’s, and professors as a result of this section and could use more time.References1. Freedman, M. The passage through college. J. Soc. Issues 12, 13–28 (1956).2. Schreiner, L. A. & Pattengale, J. Visible Solutions for Invisible Students: Helping Sophomores Succeed. (2000).3. Tobolowsky, B. F. & Cox, B. E. Shedding light on sophomores: an exploration of the second college year. (2007).4. Hunter, M. S. et al. Helping sophomores succeed
, andsupersaturation is possible. However, in the right graph there is no solid region where oneelement could be soluble in the other in the solid state. With no solid solubility, a supersaturatedsolid solution cannot be created. So the underlying reason(s) for difficulty in understanding thefirst explanation could lie in poor chart reading ability, vocabulary, or in the meaning ofsolubility limit or all. The response addresses all issues with the two graphs, but could have beenimproved with better labeling on the diagrams.Fig. 3. Faculty response on white board to students’ Muddiest Points on age hardening Al alloys. The comments in Muddy Points 2–5 all relate to difficulty in reading the graph, whichplots metal hardness (a measure of strength) as a
different disciplines. Finally, it could be that the student engagement survey does not capture all facets of student engagement, specifically within the domain of engineering. In the future, a different measure of student engagement could be used to see if these relationships hold true.[1] A. Wigfield, and J. S. Eccles, "Expectancy–value theory of achievement motivation," in Contemporaryeducational psychology, vol. 25.1, 2000, pp. 68-81.[2] J. S. Eccles, T. F. Adle, R. Futterman, S. B. Goff, C. M. Kaczala, J. L. Meece, and C. Midgley,"Expectancies, values, and academic behaviors" in Achievement and achievement motives: Psychologicaland sociological approaches, J. T. Spence Eds. San Francisco: W.H. Freeman and Company. 1983, pp. 75–138.[3] K
and technology teacher, as well as several years of electrical and mechanical engineering design experience as a practicing engineer. He received his Bachelor of Science degree in Engineering from Swarthmore College, his Master’s of Education degree from the University of Massachusetts, and a Master’s of Science in Mechanical Engineering and Doctorate in Engineering Education from Purdue University.Dr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and director for the Center for the School of the Future in the Emma Eccles Jones College of Education at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western
Moreover, the multi-modalinteractivity of the smartphone touchscreen facilitates intuitive interfaces that may improve userexperience as s/he interacts with a physical system through the smartphone.4 Thus, the embeddedtechnologies of smartphones have a great potential to impact the experiences of educators,researchers, and students in laboratory settings. In fact, smartphones have already been leveragedin educational settings to sense parameters of physical systems such as the rotational energy of apendulum by attaching the smartphone to a bicycle wheel and measuring the angular velocitythrough the embedded gyroscope.5 Even as this application of rigidly mounting the smartphoneto the system exploits the embedded sensing capability of these devices
sampling techniquesduring campus site visits (Patton, 2015).AcknowledgementsThe authors would like to acknowledge Dr. Kevin Fosnacht with the National Survey of StudentEngagement for assistance in providing the initial analysis of the data being used to validate theproposed model presented in this paper.ReferencesAllie, S., Armien, M. N., Burgoyne, N., Case, J. M., Collier-Reed, B. I., Craig, T. S., . . . Wolmarans, N. (2009). Learning as acquiring a discursive identity through participation in a community: improving student learning in engineering education. European Journal of Engineering Education, 34(4), 359-367. doi:10.1080/03043790902989457American Society for Engineering Education. (2014). Divisions: American Society
engineering student self-efficacy. Journal of Engineering Education, 98(1): 27-34.[8] Baker, D., Krause, S., Roberts, C. (2007). An intervention to address gender issuesin a course on design, engineering, and technology for science educators. Journal ofEngineering Education, 96(3): 213-226.[9] Grant, M. M. (2002). Getting a grip on project-based learning: Theory, cases andrecommendations. Meridian: A middle school computer technologies journal, 5(1),83.[10] Bell, S. (2010). Project-based learning for the 21st century: Skills for the future.The Clearing House. 83(2): 39-43.[11] Alfonseca, E., Carro, R. M., Martín, E., Ortigosa, A., & Paredes, P. (2006). Theimpact of learning styles on student grouping for collaborative learning: a case study.User
theory or concept based questions as opposed toproblem or application questions). In cases where the instructor notices lack of depth in thequestions, they can stimulate the discussion by injecting deeper questions on Piazza withoutproviding the answer.Stage 2 - Learning: The second phase, learning, happens periodically throughout the term in theday(s) before upcoming mini-tests. Students are given a schedule of when mini-tests occur at thestart of the semester. In this phase, discussion on Piazza is frozen, and students are given theopportunity to study each other’s questions in preparation for the mini-test.Stage 3 - Quiz: In the third phase students are required to take the test (individually), where thequestions in the quiz will be only from
effective engineering andSTEM learning and teaching in higher education.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.#1525345. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. This work is done in collaboration with the University of Kansas, IndianaUniversity, Queen's University at Kingston, University of British Columbia, University ofCalifornia, Davis, University of Colorado Boulder, and the University of Texas at San Antonio.References[1] M. W. Ohland et al., "Race, gender, and measures of success in engineering education," Journal of
systems are selected, configured and designed.Prof. M K Parfitt c American Society for Engineering Education, 2018 Observed Best Practices for Student Driven Multi-disciplinary Team-based Architectural Engineering CapstoneABSTRACTThe design, construction, and operations of buildings fall within the architecture and engineeringdomains. Buildings are highly technical and critical systems that are engineered to performance levelsthat allow buildings to function for 100’s of years. To achieve this, buildings require engineers andmanagers to be of a learned, regulated and licensed profession. While many engineering degrees educatebuilding design, perhaps best suited for the task is
constructs in engineering, and they operate as gatekeepers forwho participates and who is recognized as “capable” in engineering education. This tool (seeFigure 1) can be used in an exercise of self-reflection around one’s own beliefs about therelationship between intelligence and smartness.An understanding of how intelligence and smartness are constructed as well as active reflection onour own view(s) of the relationship between these two constructs can help us better understandhow we are active participants in processes that either validate or invalidate students’ abilities, inour own practice as educators. This is of vital importance because of the implications that theexclusionary nature of smartness and intelligence can have for students
assignments. CAD software was accessible online to accommodate the independent coursework and to provide flexibility for students to complete these assignments. As students learned these engineering skills, the engineering design instructor lectured them about the ways in which their newly acquired skills would aid them in designing and creating their search and rescue assistants (S.A.R.A.’s). The students synthesized these skills in the engineering design process and when physically creating their final S.A.R.A.’s in their engineering design class.Figure 3: Updated Conjecture Map with Integrated Engineering Design and Spatial Visualization Figure 3 illustrates the updated conjecture map
plan(s) and elevations of their building as well as the framing plan. Appendix 5 shows an example of the building layout. The evaluation rubric for the layout is shown in Table 2. 72% of students scored at least 90%, 16% between 75% and 90%, and 6% between 60% and 75% as well as below 60%.3- Design Handbook- 60%: Each member must submit a design handbook that includes hand calculations and/or software results of their building. The evaluation rubrics for the design handbook is shown in Table 2. 26% scored at least 90%, 42% scored 75% to 90%, 26% between 60% and 75%, and 6% below 60%.4- Written proposal- 5%: problem description, constraints, alternative solutions, analysis and design of each solution including hand calculations or
keying. The data streams then are transmittedsimultaneously over the sub-carriers at a low symbol rate. The total data rate is maintained to besimilar to the conventional single-carrier modulation schemes in the same bandwidth 21. At thereceiver side, reverse operations of the transmitter are performed. The RF signal is first down-converted to baseband for processing. Then, the signal is low pass filtered, converted to digitalsignal using an analog-to-digital (A/D) converter, and down sampled. The serial stream ofsampled time signal is converted into parallel streams by the serial-to-parallel (S/P) converterand the cyclic prefix is discarded from the received composite signal. The Fast FourierTransform (FFT) is used to transform the time domain
education," in 4th ASEE/AaeE Global Colloquium on Engineering Education,2005.[2] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey and L. J. Leifer, "Engineering designthinking, teaching, and learning," Journal of Engineering Education, vol. 94, pp. 103-120, 2005.[3] K. A. Smith, S. D. Sheppard, D. W. Johnson and R. T. Johnson, "Pedagogies of engagement:Classroom-based practices," Journal of Engineering Education, vol. 94, pp. 87-101, 2005.[4] D. W. Johnson, R. T. Johnson and K. A. Smith, "Cooperative learning returns to college whatevidence is there that it works?," Change: the magazine of higher learning, vol. 30, pp. 26-35,1998.[5] K. S. Cockrell, J. A. H. Caplow and J. F. Donaldson, "A context for learning: Collaborativegroups in the problem-based
include serving in the U. S. Army Special Forces in Asia and in the Reagan White House as a policy special assistant. Dr. Jones research interests include adult learning in work and educational systems, social systems effects on leadership, and adult moral development. Page 12.181.1© American Society for Engineering Education, 2007 Addressing the Career and Professional Development Needs of Experienced Project ProfessionalsAbstractThis paper presents a new non-degree graduate program in technical project management (TPM)that employs innovative teaching strategies to meet the needs of
Introductory Course.” Journal of EngineeringEducation, Vol. 82, No. 1, 15-21.5. Farrell, S.; Hesketh, R.P.; Slater, C. S. ”A Laboratory Project to Design and Implement a Process for theProduction of Beer.” Proceedings of the 1999 American Society for Engineering Education Annual Conference andExposition, Session 3226, June 20-23, Charlotte, North Carolina.6. Farrell, S.; Kadlowec, J.; Marchese, A.; Schmalzel, J.; Mandayam, S. “Hands on the Human Body! a.k.a.Introducing Freshmen to Multidisciplinary Engineering Principles through Application to the Human Body.”Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition, Session1526, June 16-19, Montreal, Quebec, Canada.7. Hesketh, R.; Farrell, S.; Slater, C
(S) or Number Multi Name of of (M) Major TabletPrimary School or Program of Students Course Software or Some Findings Regarding Student in theAuthor Research Firm Study in Study Study Activity Study University of Classroom increased student engagement and real-Anderson Washington CS 44 M Presenter time feedback from instructor DePauw DyKnow well received by students andBerque University CS 81 M DyKnow
were analyzed with respect to only the three primary majors in multivariateanalyses where undergraduate major was an independent variable. Page 12.722.6 2004-05 Academic Year 2005-06 0% 20% 40% 60% 80% 100% % Respondents PhD M S Thesis M S SRP M S Coursework no answerFigure 4. Percentages of respondents per degree program for the 2004-05 and 2005-06 studies
the NSF-funded S- STEM program at UCF entitled the ”Young Entrepreneur and Scholar(YES) Scholarship Program” as well as the NSF-funded STEP program entitled ”EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence.” Dr. Young’s interests are in improving STEM education.Dr. Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos received the Diploma in EE from the National Technical University in Athens, his MS degree and Ph.D. degree in EE from the University of Connecticut, Storrs, CT, in 1981, 1983 and 1986, respectively. He is currently a Professor in the Department of EECS at the University of Central Florida in Orlando, FL. From September 2011 to June 2012 he served as the Interim
form 𝑦 = 𝑎 ∙ 𝑏 ! that could be used to describe thedata; (b) give an interpretation of the constants a and b in (a); (c) find the point in time when thevoltage across the capacitor was 0.05 V; (d) compute the average rate of change over threesubintervals, from t = 5 to t = 10 seconds, t = 20 to t = 25 seconds, and t = 40 to t = 45 secondsrespectively; and (e) write two or three sentences interpreting the negative average rate of changedata in (d). 2.0529 − 4.2245 t = 5 to t = 10 : = −0.43 v/s 10 − 5 .27252
multiplechoice questions (see Appendix) was taken to evaluate students’ knowledge of the FDM 3000operations and applications. The test scores from three groups were tabulated and illustratedbelow (see Table 1 and Figure 9): Table 1: The test performance among the designated three groups Group #1 (Control Group-Live Group #2 (RP Simulator-Old Group #3 (RP Simulator-New Instruction) Version) Version) S. No For 16 S. No For 16 S. No For 16 1 14 1 10 1 9 2 8 2 9 2 9
andmilitary experience and see if they have any type of impact as well.References[1] M. J. Pavelich and W. S. Moore, “Measuring maturing rates of engineering students using the Perry model,” in Proceedings of IEEE Frontiers in Education Conference - FIE ’93, 1993, pp. 451–455.[2] M. J. Pavelich and W. S. Moore, “Measuring the Effect of Experiential Education Using the Perry Model,” Journal of Engineering Education, vol. 85, no. 4, pp. 287–292, 1996.[3] J. C. Wise, S. H. Lee, T. A. Litzinger, R. M. Marra, and B. Palmer, “A Report on a Four-Year Longitudinal Study of Intellectual Development of Engineering Undergraduates,” Journal of Adult Development, vol. 11, no. 2, pp. 103–110, Apr. 2004.[4] R. M. Felder, “A
, biomedical engineering issues. This approach helpsdistance learners as well as educators to work with the material in real-world classroomand/or virtually web-networked teams.Specifically, our methodology suggests the following activities, or processes withcontinuous quality and requirement feedback-loops: 1. Research and analyze the needs, for all key processes, and then 2. Develop a comprehensive object oriented system model. 3. Create a pilot system, a prototype that you can realistically implement, validate, refine, then 4. Create the full system as specified by your customer(s)/ sponsor(s) and then 5. Validate/ test, support, maintain and educate all parties involved.In more detail, the process
or engineering design. The language of industry may not be typical oflanguage used in the classroom or in the text book(s). While issues of jargon and terminologymake clarity of communication via a survey challenging, it can lead to dialogue needed toachieve commonality in meaning. This dialogue was sought with the open-ended questions. In apaper, or survey; however, dialogue is still somewhat illusive. Nonetheless, by the time thispaper is published, it is expected that some face-to-face dialogue on this area of capstone willhave occurred at the bi-annual Capstone Conference (http://www.capstoneconf.org/).Table 1: Problem statement characteristics (coding) used in the Likert scale question General statement, definition or description, an
example, if the mainerror being made is related to switching the x and y components of a force due to sine and cosineconsideration. A non-graded worksheet could be prepared that focuses on that specific non-conceptual error. Some thought has been given to developing a booklet of problems thatspecifically identify the common errant paths; however, there is still a lot of data to analyze priorto the execution of that thought.Bibliography 1. Newcomer, J. L. and Steif, P. S. (2008) “What Students ‘Know’ About Statics: Specific Difficulties Common Among Students Entering Statics”, Proceedings – 38th Annual Frontiers in Education Conference, ASEE/IEEE. 2. Newcomer, J. L. (2010) “Inconsistencies in Students’ Approaches to Solving
Career Development model is based on a life-long process where individualsreflect on their changing self concepts as they pass through stages of growth, exploration,establishment, maintenance, and disengagement with each career decision and transition. 6, 7Super used the “growth” and “exploration” stages to develop a children’s model that he believed“contribute[s] to career awareness and decision making”. 8 This model includes stages of Page 25.907.3curiosity, exploration, using occupational information, identifying helpful people, naming likesand dislikes, recognizing locus of control, and understanding one’s self-concept. 8Identifying helpful