, postdoctoral researchers, graduate students, undergraduates and others within their research group – whether that means discussing who has authority to make decisions about purchasing materials, or what the “chain of command” is when there is a question about research procedures. Metrics: How will the team members know if they have succeeded? What are the metrics that can be assessed to determine if the team has reached its goal(s)? Consequences: what happens if a team member does not follow the groundrules or meet the expectations described in the team charter? What types of interventions or warnings are given, and under what circumstances is a member released from the team?Developing a team charter
., Ciarallo, F.W., Klingbeil, N.W. (2014). Developing the Academic Performance- Commitment Matrix: How measures of objective academic performance can do more than predict college success. Proceedings 121st ASEE Annual Conference and Exposition, Indianapolis, IN, June 2014.Brown, S. D., Tramayne, S., Hoxha, D., Telander, K., Fan, X., & Lent, R. W. (2008). Social cognitive predictors of college students’ academic performance and persistence: A meta- analytic path analysis. Journal of Vocational Behavior, 72(3), 298-308.Burnham, J.R. (2011). A case study of mathematics self-efficacy in a freshman engineering mathematics course. (unpublished master’s thesis). Washington State University, Pullman, WA.Connor, M. C., & Paunonen, S. V
collaborative multinational design Project (CMDP) with a perception of value above 70% of the maximum possible score for such construct, therefore the Null Hypotheses is: o 𝜇𝑉𝑎𝑙𝑢𝑒 𝐶𝑀𝐷𝑃 ≤ 70% The maximum scores are based on the number of statements included in the particular construct, therefore, the interest construct has a maximum total of 49 points (i.e., 7 statements with a maximum score of 7 for each), and the value construct has a maximum score of 35 points. Because of the existence of reverse statements, the actual score for each construct was calculated based on the following expressions: S 6 S11 S14 S17 8 S 22 S 26 S 29 Interest
ATTRIBUTES.The design attributes currently listed as typical potential constraints in the CSM are shown inTable 1. These attributes are not meant to serve as an exhaustive list, but as a convenient startingpoint for performing a constraint analysis for a given problem. Note that each source has anassociated code for ease of identification and reference during later analysis. TABLE 1: ATTRIBUTES IDENTIFIED AS TYPICAL CONSTRAINTS IDENTIFIED IN THE CSM, GROUPED BY SOURCE CLASSIFICATION AREA Code Attribute Code Attribute S-1
Education, Washington, DC: ASEE, 2012.6 See https://www.nsf.gov/pubs/2014/nsf14602/nsf14602.htm7 Douglas, E., private communication, January 31, 2017.8 Jordan, S. and M. Lande, “Additive innovation in design thinking and making,” International Journal of Engineering Education, 32(3B), pp. 1438-1444, 2016.9 McKenna, A., N. Kellam, M. Lande, S. Brunhaver, S. Jordan, J. Bekki, A. Carberry, and J. London, “Instigating a Revolution of Additive Innovation: An Educational Ecosystem of Making and Risk Taking,” 2016 ASEE Annual Conference & Exposition, New Orleans, LA, June 2016.10 Kellam, N., B. Coley, and A. Boklage, “Story of change—Using experience-based critical event narrative analysis to understand an engineering program’s
the pre/postassessment questions related to the fundamental CS theory. Table 1 contains the questions alongwith the CS concept(s) they assess. It is important to note that question seven, regarding theillustration of sequential operation, only contained graphical illustrations while all the remainingquestions were related to real code statements in one of three programming languages: C++,Python or Logo.Table 1. Assessment questions and corresponding CS concept(s).Question Session Assessment Question (Summary) CS Concept(s) Which command could be used to query aQ5 Baseline Syntax robot's joint state
some data analysis to determine what trends, if any, may apply tovarious aspects of her calculus courses. The following graphics indicate the data and results.Figures 1, 2, and 3, respectively, display overviews of the total Calculus I, Differential Calculus,Math 2014 enrollments; Calculus II, Integral Calculus, Math 2024 enrollments; and Calculus III,Multivariable Calculus, Math 2073 enrollments, by semester, from spring (S) 2000 through fall(F) 2016. It can be observed that enrollments are larger for the traditionally “on-sequence”courses of Calculus I and Calculus III during the fall semesters and for Calculus II in the springsemesters. Also noted is a trend of increasing enrollments. There is a surge in the Calculus Ienrollments that
attach related design artifacts in their journal entrybecause it will be useful for the verification process. Figure 3. A sample of Mechanical & Aerospace Engineering – Group 2’s journal entry. We verified the eJ entries by cross-referencing them against the design artifacts, otherverified entries, and additional qualitative data. Out of 212 entries, 83.02% were verified, where130 entries belonged to the BE groups and 46 entries belonged to MAE groups. The next stepswere segmenting and coding the verified entries based on Dym and Little’s design phases, designactivities, and project management aspects [15]. For this step, we used Table 1 and 2 as codingtables. The segmenting and coding processes were conducted independently for three
-preserving, resulting in anaverage idea score of 1.2. This is visually illustrated in Figure 6, which shows the sketches fromthe two sets of ideas generated by Participant 27.As shown on the left side of Figure 6, Participant 27’s initial set of ideas all had paradigm-modifying aspects to them. The most strongly paradigm-modifying solutions included a hoverboard (Idea 2) and a jetpack (Idea 5), both of which defy the constraint of physically having totravel on the snow. But even their ideas coded as paradigm-preserving had elements that are nottypically used to travel across the snow, including Idea 3 that utilized a giant snowball, and Idea4 that utilized a giant fan to propel the device. In contrast, Participant 27’s ideas generated withthe
, 2017. 3. Choy, S., Nontraditional Undergraduates. 2002, U.S. Department of Education, National Center for Education Statistics: Washington, DC. 4. Rodriguez, A., M. Carnasciali, S. Ciston, M. Whitson, and V. Berendt (2016, Sept) Stress and Response Patterns in Adult Engineering Student within Higher Education. Paper presented at 2016 ASEE Rocky Mountain Section Conference, Cedar City, UT. https://www.suu.edu/rms2016/ 5. Seymour, E. & Hewitt, N. H. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press 6. Carnasciali, M., & Thompson, A. E., & Thomas, T. J. (2013, June), Factors influencing students' choice of engineering major. Paper presented at
regions.ReferencesAmerican Society of Civil Engineers. (2008). Civil engineering body of knowledge for the 21stcentury : Preparing the civil engineer for the future.Anderson, K., Courter, S., McGlamery, T., Nathans-Kelly, T., Nicometo, C. (2009,June), Understanding The Current Work And Values Of Professional Engineers: ImplicationsFor Engineering Education Paper presented at 2009 Annual Conference & Exposition, Austin,Texas. https://peer.asee.org/4625Beyerlein, S., Bill, A., van Schalkwyk, I., Bernhardt, K.L., Young, R, Nambisan, S., Turochy, R.(2010) Formulating Learning Outcomes Based on Core Concepts for the IntroductoryTransportation Engineering Course Paper presented at 2010 Transportation Research BoardAnnual Meeting, Washington, D.C.Brunhaver, S., &
be found in a review59 paper by Muschik16. None of these approaches address the four pedagogical shortcomings listed above;60 they are still based on RHE’s operating between temperature reservoirs. Many Introductory physics61 textbooks at the college level have modified their presentation of the second law by introducing entropy62 from a molecular perspective, while using an abridged version of the sequence shown in figure 1 to63 discuss only RHE’s (exergy is generally not covered). Some introductory physics textbooks17-20 skip the64 Clausius theorem altogether, and derive RHE efficiency starting from ∆S=0. Others derive the Clausius65 theorem from RHE efficiency21, which is presented as the upper limit of efficiency (without
. doi: 10.1002/sce.210075. Baker, D., Krause, S., Yaşar, ş., Roberts, C., & Robinson-Kurpius, S. (2007). An intervention to address gender issues in a course on design, engineering, and technology for science educators. Journal of Engineering Education, 96(3), 213-226. doi: 10.1002/j.2168-9830.2007.tb00931.x6. Adelman, C. (1998). Women and men of the engineering path: A model for analyses of undergraduate careers. (Report No. PLLI-98-8055). Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education Retrieved from ERIC database. (ED419696).7. Bucciarelli, L. L. (2003). Engineering philosophy. Delft, The Netherlands: DUP Satellite.8. Su, R., Rounds, J., &
students 34. Theresearchers found that social support and having a better sense-of-belonging yielded higher ratesof persistence in STEM students.Commuter students. Living off-campus can have implications in student success 35. Off-campushousing requires students to keep track of additional expenses, such as rent, groceries, and utilitybills. This living situation can also make access to student services more challenging becausestudents must travel to campus to access the services. The commuter student demographic beganto expand in the 1960’s, and has yet to see a decline 36. Access to course materials for commuterstudents have improved since the inception of learning management systems (e.g., BlackBoard)that provide electronic access to course
) in engineering and science hasbecome much discussed topic in the industry and also in the academia (Detroit Free Press, 2016;Burke, 2016). While the state licensure bodies monitor the professional conduct of the engineers,professional engineering bodies like National Society of Professional Engineers (NSPE) andAmerican Society of Civil Engineers (ASCE) insist and expect their members to have goodmoral character and ethical integrity (NSPE, 2016; ASCE, 2012).However, the ethical contact and the professionalism of an engineer do not start with theengineer’s first assignment as a graduate engineer, but with what this individual learns inclassrooms as an engineering student and how s|he gets trained as an engineering intern. Theseeds of ethics
; Daly, S. R. Returning to graduate school: Expectations of success, values of the degree, and managing the costs. Journal of Engineering Education 102, 244-268 (2013).2 Peters, D. L. & Daly, S. R. The Challenge of Returning: Transitioning from an Engineering Career to Graduate School in Annual Conference & Exposition.(2011)3 Lucietto, A. M. Who is the engineering technology graduate and where do they go? in Frontiers in Education Conference (FIE), 2016 IEEE. 1-7 (IEEE).4 Lucietto, A. M. Identity of an Engineering Technology Graduate, in ASEE's 123rd Conference and Exposition (ed ASEE) (New Orleans, LA, 2016).5 Statistics, N. C. f. E. Graduate enrollment in programs in engineering, physical and
– .47 .63 .45 .42 .41 .00 3. Perceived Usefulness .33 .42 – .66 .75 .70 .72 .12 4. Perceived Ease of Use .44 .58 .65 – .69 .70 .69 .09 5. ILTs Compatibility .23 .38 .73 .66 – .73 .79 .10 6. Attitudes toward ILT s .30 .38 .67 .71 .70 – .78 .11 7. ILTs Behavioral Intentions .22 .33 .69 .66 .77 .78 – .07 8. GPA -.04 .04 .13 .13 .11 .12 .09 – Note. Parametric (i.e., Pearson) correlations are below the primary diagonal and non
based on the following: Soft Skills(S), Technical Skills (T), Experience (E) and Managerial Skills (M).Table 2 – STEM Skills – Student and Industry Perspectives Skill (STEM Area) Students’ Practitioners’ Reference Perspective Perspective Team Work (S) X X “Good team players” (Salleh et al., 2015) “Collaboration” (Kappelman, Jones, Jonhnson, Mclean, & Boonme, 2016)Communication (S) X X “Confident communicators” (Salleh et al., 2015
in the following way: 1. High level understanding (e.g., experimenting with Jenga-like tower: before, during and after its collapse) 2. Bounded Input Bounded Output (e.g., hearing screeching noise from speakers using an animation and an experiment; story-telling: adjusting water temperature while taking a shower) 3. Qualitative understanding of pole location and effects on stability (e.g., in class building and flying a paper airplane with varying locations of its center of mass) 4. Connection to the s-plane (e.g., visually relating poles locations to paper and actual airplanes) 5. Connection to open loop and closed loop (e.g., performing in class broom balancing acts and imitating a slow reaction of a
which should aid them in facilitating team-based activities inthe future among peers, faculty, and the extended community.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber 1405869. Any opinions, findings, and conclusions or recommendations expressedherein are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Additionally, the author(s) gratefully acknowledge the generosity and technicalguidance provided by the Central State University College of Science and Engineering, itsadministration and faculty, including Drs. Alessandro Rengan and Subramania Sritharan. Also,the author(s) would like to thank undergraduate manufacturing engineering
need is by using teams (Varvel, Adams,Pridie, & Ruiz Ulloa, 2004). Organizations recognize the importance for employees tounderstand how to work effectively with others, but also express that new employees do notbring adequate teaming skills to the workplace (S. Adams & Ruiz, 2004; Pascarella &Terenzini, 2005). Despite calls to promote teamwork as “an indispensable quality forengineering”(Lingard & Barkataki, 2011) engineering schools have been generally slow indeveloping pedagogies that successfully promote collaborative behaviors. Several initiativeshave been done in engineering education -like project-based learning and team-basedlearning to try to promote teamwork skills (Felder & Brent, 2009; Prince, 2004). However
for Work Avoid in either comparison.It is interesting to observe significant decreases in Expectancy between both 2013 and 2016 andbetween 2014 and 2016, with a medium effect size for the decrease between 2014 and 2016.Student perceptions about their abilities to complete tasks in their engineering courses appear todecrease after their first year, possibly due to the challenges of upper level courses with whichthey are confronted.Table 2: Summary of mean (standard deviation) values for all factors for each year and thematched pairs t-test or Signed-Rank test results for comparisons, including the test statistic t(n-1)or S, respectively, the sample size n, the p-value, and the effect size d for significant results.Factor scores are on a scale
engineering studentparticipation but the association with success outcomes for non-Black student members is also afuture area of interest. Additional insights into quantitative relationships can be gained by graded categorizationof NSBE membership that accounts for factors such as number of years of involvement, whenthey first joined the organization (e.g. freshman vs later years), level of involvement, and otherstudent success outcomes (e.g. GPA). Exploring how and why particular associations exist canalso be supported by more rigorous qualitative explorations of NSBE members decisions topersist or leave engineering and/or the organization and what unique role NSBE played in thesedecisions.References[1] D. E. Chubin, G. S. May, and E. Babco
Engineering Education. 2015;49: 19-26.2. Coronella, C. Project-based learning in a first-year chemical engineering course: evaporativecooling. ASEE Annual Conference. Chicago, 2006.3. Barritt, A., Drwiega, J., Carter, R., Mazyck, D., Chauhan, A. A freshman design experience:multidisciplinary design of a potable water treatment plant. Chemical Engineering Education.2005;39: 296-300.4. Duke, S. R., Davis, V. A. Fuel cell car design project for freshman engineering courses.Chemical Engineering Education. 2014;48: 157-164.5. Hollar, K. A., Savelski, M. J., Farrell, S. Guilt-free chocolate: introducing freshmen tochemical engineering. ASEE Annual Conference. Montreal, 2002.6. Farrell, S., Hesketh, R. P., Slater, C. S. A laboratory project to design and
, including spreadsheets. The weights corresponding to each need go ondifferent rows, and the Learning Objectives run along different columns. Relation matrix elementsare identified as: R(column number, row number) = R(j,i)Likewise, the computed array, S can be expressed as S(column number) = SjThe index “i” varies from 1 to m, where m = the number of learning objectives and the index “j”varies from 1 to n, where n = number of needs. Learning Objectives LO1 LO3 LO3 Needs Weights N1 W1 R(1,1) R (1,2) R (1,3) N2 W2 R
spectral irradiance. Figure 4: Solar and white LED spectral distribution7. Student Feedback and Assessment MethodThe following survey questions were given to students and the results are shown below eachquestion. A five-point Likert scale was used (1: Strongly Disagree, 2: Disagree, 3: Neutral, 4:Agree, 5: Strongly Agree). Students were asked to assess how well the outcomes were met. Thetotal number of students who completed the survey was 21. Learning Outcomes: By the end of the lab, students should be able to: 1) Understand that a solar panel can produce an output voltage and current (or energy) when facing a light source. 1: S. D. 2: D 3: N 4: A 5: S. A. Avg. Avg
worked to create but had fun at the same time: “Playing with Legos (is my favorite 15part), because I get to create things. I love creating things.” This seventh grade participantrecognized the need to use their brain to be innovative: “I feel like not just to be smart, but to behealthy, to be strong [sic]. It isn’t all about the brains. Most of it’s the brains, otherwise who’dcome up with NASA and stuff like that.” An eighth grade participant reported, “I was already thinking about it (a STEM career) butI think it made me for sure that I want to be an engineer later on [sic].” The participant enjoyedthe rocket launch experiment, as (s)he reports, “I think it was just really fun to
CenturyLiberal Education?” Web. Last accessed 12 February 2017 at https://www.aacu.org/leap/what-is-a-liberal-education.4 AAC&U. (2017). “What is a 21st Century Liberal Education?” Web. Last accessed 12February 2017 at https://www.aacu.org/leap/what-is-a-liberal-education.5 Author2, 2015.6 Author2 and Author 1, 2016.7 Tobias, S. Engineering-Enhanced Liberal Education Project, “Introduction.” Web. Lastaccessed 12 February 2017 at https://www.asee.org/documents/teagle/TobiasIntro.pdf8 Berg, B. L. and Lune, H. (2013). “Introduction to Content Analysis.” In Qualitative ResearchMethods for the Social Sciences, 8th ed. Pearson, pp. 373-410.9 Gee, J. P. (2004). “Discourse Analysis: What Makes It Critical.” In An Introduction to CriticalDiscourse
intendedmeaning of each dimension would be measured. Based on the difficulties measuring costreported in prior work,20-23 cost items were generated along two different types of cost, task effortcost (i.e., time spent) and emotional/psychological cost,21 to increase the likelihood of producinga factor measuring some aspect of cost. All STV items were displayed as a single scale whichasked respondents, “Please indicate the extent to which you agree or disagree to the followingstatements about your first position after graduating with your bachelor’s degree(s),” on a five-point Likert (bipolar) scale, from 0=“strongly disagree” to 4=“strongly agree”. Nunnally andBernstein26 recommend the use of Likert scales because they are easy to create, produce