supplementary open questions related to participants’ experience in thecollaborative virtual assembly task, their reflections, and feedbacks. The development of these two questionnaires will follow the instrument developmentprocess in the affective domain introduced by McCoach, Gable, & Madura [35]. Specifically, foursteps will be completed in sequence: (1) literature reading and existing similar instruments search;(2) item writing or revision; (3) content validity assessment; (4) face validity assessment. Two orthree researchers in the engineering education and the automotive fields will be invited to assessthe validity of generated items and 3–5 undergraduate students to evaluate whether the instrumentscan be understood for the face
Qualitative Researchers, 2nd ed. Thousand Oaks: SAGE , 2012.[17] J. Walther, N. W. Sochacka, and N. Kellam, “Quality in Interpretive Engineering Education Research: Reflections on an Example Study,” J. Eng. Educ., vol. 102, no. 4, 2013.[18] L. K. Su, “Quantification of diversity in engineering higher education in the United States,” J. Women Minor. Sci. Eng., vol. 16, no. 2, 2010.[19] E. D. Tate and M. C. Linn, “How does identity shape the experiences of women of color engineering students?,” J. Sci. Educ. Technol., vol. 14, no. 5–6, pp. 483–493, 2005.[20] C. Hill, C. Corbett, and A. St Rose, Why So Few ? Women in science, technology, engineering and mathematics. Washington, DC: American Association of University Women
; Oakes, W. C., “Learning by doing: reflections of the EPICS program, International Journal for Service Learning in Engineering,” Humanitarian Engineering and Social Entrepreneurship, 1–32, 2014.[12] Cortese, A., “The critical role of higher education in creating a sustainable future,” Planning for Higher Education, 15–22, 2003.[13] “Mines team makes City/School Administration Center more green,” http://rapidcityjournal.com/news/local/mines-team-makes-city-school-administration- center-more-green/article_5d48f6bc-6754-573f-8653-70ffc3de83b2.html, Feb. 26, 2018.[14] “Hardrocker sustainability team gives presentation on how CSAC building can save money,” http://www.blackhillsfox.com/content/news/Hardrocker
instructors with the necessary tools and support to ensure instructionalcoherence across all sections of ENC 3246. Developing material for the Failure Analysis ProjectThe Failure Analysis Project was introduced in summer 2017 in order to add a broadlyapplicable writing task that would feature research as an ethical practice, thereby bettersupporting current ABET criteria. Several of the new research tools discussed in this paper,including the credibility checklist and updated course guides, also reflect ABET accreditationcriteria, specifically General Criterion 3 [1, pg. 3] (Student Outcomes) and General Criterion 5(Curriculum) [1, pg. 5].This assignment was further developed in response to a recent initiative from the UF College ofEngineering
. • Resource Material: Most established and long-running courses in engineering or otherwise, tend to take the approach of selecting a course textbook and to utilize all the instructor resources, presentation slides and test banks provided by the publisher. While instructors do customize course content to reflect their personal teaching styles or to incorporate contemporary trends and developments in the field, this is still optional. But with the engineering core courses, particularly with the objective of introducing appropriate systems engineering knowledge, generating instructional material not found in the course textbook is imperative and no longer an option. This also means generating assignments
least two coders working collaboratively to develop the coding scheme Having both coders working on a same segment to code for disparities identification. If coding disparities occur, the two coders will discuss and come to an agreement.The validity and reliability of the results obtained from data analysis will be ensured followingthese guidelines as well: Acknowledging that no matter which results are obtained, co-occurrence does not imply causation Acknowledging that no matter which results are obtained, proportions, frequency distributions and other statistics will not necessarily reflect the nature of the whole data set. Avoiding the omission of contradictory
participation information. Year Year 1: 2015 Year 2: 2016 Year 3: 2017 Enrollment per section and total 19+19+9 = 47 19+18+14 = 51 14+26+9 = 49 Number of responses to the SALG 27 11 7 survey Number of responses to the end of 35 22 30 semester evaluationThe Quantitative Physiological Signal Analysis Lab is a required one credit, three hour per weeklab in the junior year. The first half of the semester reflected traditional style labs focused onfoundational concepts of the nervous system such as diffusion, simulations
how these sustainability outcomeexpectations develop and change.AcknowledgementsThis work was funded by a collaborative National Science Foundation EEC grant (1635534 and1635204). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation.References[1] J. Cook et al., “Quantifying the consensus on anthropogenic global warming in the scientific literature,” Environ. Res. Lett., vol. 8, no. 2, p. 24024, Jun. 2013.[2] N. R. Council, Adapting to the Impacts of Climate Change. Washington, DC: The National Academies Press, 2010.[3] UN News. (2018). 'Journey towards bold climate action is at a critical moment
expressedhere are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Stevens, R., A. Johri, and K. O’Connor, Professional engineering work, in Cambridge Handbook of Engineering Education Research, A. Johri and B.M. Olds, Editors. 2014, Cambridge University Press: Cambridge, MA. p. 119-138.2. Dannels, D.P., Learning to be professional technical classroom discourse, practice, and professional identity construction. Journal of Business and Technical Communication, 2000. 14(1): p. 5-37.3. Faulkner, W., Nuts and Bolts and People'Gender-Troubled Engineering Identities. Social studies of science, 2007. 37(3): p. 331-356.4. Noble, D.F., Technology and the
resonated well with my personal experience in the past withfemale mentorship. Reflecting on how I got to where I am today, I owe much of my success tothe female mentors that have influenced me so positively throughout my high school and collegeyears.Recommendations for Future Camps:For many of the activities there was a scripted part and an additional challenge planned, but timeprohibited most of the girls from thoroughly exploring the additional challenges. In the futuremore time will be allocated to each activity. According to these results, 75-90 minutes peractivity would be sufficient. This will of course limit the number of activities, but the additionaltime spent to master the nuances of each activity is worth the limited exposure.Extending
in teams sped up students’ learning pro- 87% 92% cess – Finding a common time is a major factor. (6) Students utilized recitation sessions – Time con- 50% 50% flict was a factor. (7) Students thought the presence of the teacher assis- 73% 86% tants were helpful – This was adequate resources.with an 85% agreeance rate for the first language taught, then a sharp decrease to a 45% agreeancerate for the second language taught. Another reason for the drop in agreeance for item 3 could bethe inclusion of some intensive in-class lectures given for the second language to help get studentsup-to-speed quicker than for the beginning of the class. Item 4 reflects
recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.8. References:[1] J. Hamari, J. Koivisto, and H. Sarsa, “Does Gamification Work?–A Literature Review of Empirical Studies on Gamification” in System Sciences (HICSS), 2014 47th Hawaii International Conference on, 2014, pp. 3025–3034.[2] I, M.B., A.Di-Serio, C. Delgado Kloos.: “Gamification for engaging computer science students in learning activities: a case study”. IEEE Trans. Technol. 7(3), 291 301(2014).[3] T. Auvinen, L. Hakulinen and L. Malmi (2015). Increasing Students' Awareness of Their Behavior in Online Learning Environments with Visualizations and Achievement Badges
, students were familiar with the basics of creating and analyzing a truss usingSOLIDWORKS. The first semester we implemented this assignment, students were required tocreate their own truss as explained in Figure 1. In following semesters, to ensure time was spenton completing the analysis and reflecting on the results rather than consumed creating the model,SOLIDWORKS models were provided to students who were then required only to modify theloads and record the results.Without teaching about influence lines in class, this assignment introduced students to theconcept and reinforced the idea that some truss members may be in tension for one load case butin compression in another. This reality was revisited later in the course when discussing
PowerPoint slides that were discussed in lecture. Theslides included descriptions of common rating problems including giving everyone on the teamthe same scores across all dimensions, giving the same teammate the same scores across alldimensions, bimodal ratings (giving one teammate all 1’s and others all 5’s), etc. This lecturealso included a discussion of what information you are trying to give your teammates whenrating them and how the results of the evaluations can be interpreted in order to improve teamperformance. General comments were also made regarding what the rating patterns looked likein the class without identifying individuals or teams that used poor rating patterns. The goal wasto help students reflect on their own ratings and
enrollment of Hispanic college studentsfrom 2015 to 2025, a 20% increase in Black students, a 19% increase in Asian students, and a3% increase in White students, for an overall increase of 12% [23]. These predictions are basedon the expected change in the population of people aged 18-29, and do not include the costs of acollege education or future economic conditions. Assuming the overall college enrollmentincreases are reflected in undergraduate programs, data and projections for undergraduateprograms appear as follows: Projections 10 White Good 8 Undergraduate
groundsdoes the accumulation of some threshold number of points constitute mastery of the topic athand? Is such a numerical marker valuable to a learner in reflecting on their progress andaccumulated knowledge? The broad answer to such questions is that points are largely arbitrary,varying wildly in meaning across institutions, courses, or even across assignments.Trends in pedagogy have shifted strongly in the direction of more experiential, authentic learningactivities such as project-based and active learning. As the nature of the classroom activity haschanged, important questions have been raised about the efficacy of traditional grading schemes.Separation has been observed between course objectives and assessment practices, and theability of the
Q13); 2) student perception of course format (Q2, Q5, Q8, Q9,and Q11); and 3) prior experience using CADD (Q3 and Q4). Responses were on a five-pointLikert scale. For the RAD section, there were four additional questions regarding the use of rigidassignment deadlines (Q15 – Q18). In the SSP section there were an additional five questions,with the first 4 reworded from the RAD section (Q15 – Q18). The last question solicitedfeedback on the use of suggested deadlines (Q19). Survey questions are presented in theAppendix. Cronbach’s alpha [5] was used to assess the internal consistency of questions groups.During the analysis responses were recoded as necessary to reflect the fact that some questionswere worded in opposite directions to reduce
when compared to other university Calculus I courses and is a modelthat should be continued. These results also show a drastic improvement from the 2016 ELCwhere 6 of the 18 ELC students were in the ELC Calculus I course, however only 4 passed theclass. The ELC Precalculus course was not as successful, as only 6 out of the 16 students, or37%, passed the course. There were many beneficial differences in the structures of the 2016 ELC and the 2017ELC. The expansion in the 2017 ELC gave students more opportunities and had a structure thatbetter reflected the learning community concept as a whole. The two math course choices gavestudents more options and allowed a greater number of students to enroll in the ELC. TheEnglish course was very
able to reflect on what they have learned with the help ofintuitive illustrations and convenient operation of MUSSN. While no surveys have beenofficially conducted as of this writing, the program has been presented to a seminar of 10 civilengineering graduate students. The next step of the research would be to distribute formalsurveys to undergraduate, graduate students and experts to evaluate the effectiveness of theprogram. After analyzing the feedback, further improvements of MUSSN will be made for thefuture use in the classroom setting.MUSSNStudents are first greeted by a Welcome Screen tab when they use the MUSSN (Figure 3). Thebackground is a 3D graphical simulation of the NWDP. In the lower right corner is a “Next”button which takes
positive trends and crises in business organizations. Besides, both PrBL and PjBLapproaches help students gain ability to understand, define, and reflect a problem with professionalengineering language and terms, which is one of the crucial expectations of business organizationsthat hire engineers. In the following sections, both PrBL and PjBL are explained in detail. Eventhough the literature uses PBL for both Project-based and problem-based learning; PrBL and PjBLnotation is preferred since both will be discussed. 1Problem-based learning (PrBL)PrBL was first used at McMaster University in Canada for the study of medicine in 1969 [1]. Ithas been
-efficacy measures were used to measure self-efficacy in engineering courses but only a few werein line with Bandura's definition and his guidelines [17]. Some of the studies also had conceptualand practical shortcomings as the developed measures reflected on general self-confidence and didnot address the concept of self-efficacy. As highlighted in [18], historically developed measuresalso do not adequately cover the engineering domain and therefore may not accurately predictacademic achievement. To date, to the best of our knowledge no study has examined themeasurement of self-efficacy in engineering modeling and design courses. Considering thatengineering modeling and design are key skills and are essential to the success of future engineersas
activities focused on thedesign of load bearing components set in a laboratory environment with team-based learning.The design process is guided by the concept of a design vector consists of design parameters.The topics covered in the activities are placed in an order which reflect the growth andcomplexity of the design vector. The three main mechanical loads that are studied are tension,compression, and shear, each increasing the design vector complexity in their respective order.The theoretical behavior and equations are introduced and presented in the beginning of anactivity; this is done to reinforce the concurrent co-requisite or refresh the prerequisite mechanicsof materials course. The activities aim to decompose the equations into the
arguments suggesting schools are not providing sufficienteducation regarding building science and code compliance while Shealy et al. (2015) reflects that manyprograms that attempt teach codes hold little importance in the mind of many faculty. When code istaught, these lecturing methods more often than not take a hands-off static teaching approach with littleappeal, particularly to the more visual learns in these programs (Moon 2010). Building code educationdeficiencies include (Solnosky et al. 2017): Courses do not provide adequate detail Material is isolated from other course and/or curriculum content Code knowledge is not reinforced in assignments There is limited available time to cover code material in existing
Tomography for the programmablecomponents. A look into the future will be covered.Presentation #5Title: Surface Characterization Methods for Modern ManufacturingAbstract: Surfaces of materials play a key role in many technologies ranging from semiconductordevices, to optical components, to medical implants, to machined metal parts. Surface featuresand characteristics determine optical properties (reflection and light scattering), adherence ofcoatings, susceptibility to contamination and corrosion, wear, friction and lubrication, sealing,thermal contact, wetting properties, and appearance. Engineering of surfaces is important in solarcells, fluidic systems, MEMS, and optics; and poor surface quality is a major limitation of manyrapid prototyping
lack of collaborationbetween industries and schools and outstanding conflicts of structural demands and supplies.The current engineering education tend to enter an ivory tower, but the collaboration ofuniversities and enterprises in the quality construction of aspects including the curriculumsystem, faculty team and practice platform is still not close enough while the effect is also notsustained enough. The reform of the engineering education has not fully reflected thedevelopment demand of science & technology and economy in the new period. Meanwhile,the construction of platforms for inter-disciplines and newly-emerging disciplines are laggingbehind and there are a lack of synergy between the training of engineering talents and
cultural approach, Upper SaddleRiver, N.J. Pearson Prentice Hall.18 Reifman, A., J.J. Arnett, and M.J. Colwell (2007) Emerging adulthood: Theory, assessment, andapplication. Journal of Youth Development. 2(1).19 "Epistemology." Merriam-Webster.com. Merriam-Webster, n.d. Web. 13 Jan. 2018.20 Kroll, B.M. (1992), Teaching hearts and minds: College students reflect on the Vietnam war inliterature, Carbondale: Southern Illinois University Press.21 Felder, R.M. and R. Brent (2005) Understanding student differences. Journal of EngineeringEducation. 94(1): p. 57-72.22 Wise, J.C., S.H. Lee, T. Litzinger, R.M. Marra, and B. Palmer (2004) A report on a four-yearlongitudinal study of intellectual development of engineering undergraduates. Journal of
thismaterial are those of the authors and do not necessarily reflect the views of the NSF. ReferencesAgell, L., Soria, V., & Carrió, M. (2015). Using role play to debate animal testing. Journal of Biological Education, 49, 309-321.Basche, A., Genareo, V., Leshem, A., Kissell, A., & Pauley, J. (2016). Engaging middle school students through locally focused environmental science project-based learning. Natural Sciences Education, 45, 1-10.Borrego, M., Foster, M. J., & Froyd, J. E. (2014). Systematic literature reviews in engineering education and other developing interdisciplinary fields. Journal of Engineering Education, 103, 45-76.Buciarelli, L. L. (1994). Designing
aspects are as follows, which are reflected in thesection of maker education. Provide training certificates for students who completed theoretical training and hands- on projects Open to students during daytime hours and free to use Use social media mobile application such as Wechat and QQ to promote image of Makerspace Involve students to participate in daily management and operation Serve as a resource platform, providing projects, training, competition, activities, etc. Closely linked to the engineering curriculum Fig. 1: Makerspace of SCUPIManagement StructureMakerspace management structure is identified as three different models: faculty run, studentrun, or specific support
) 6 b. Each of the concepts were compared and contrasted, similar concepts were combined (ex. positive environment and open input from everyone were combined to be safe, positive, and open environment). c. Each definition’s assignment of codes into concepts was reviewed again to ensure changes in the concepts were reflected. d. Any concepts with less than five codes were reviewed and combined (ex. encourage and empower were combined together)Finally, the last step of the analysis is abstraction, where similar concepts themes are groupedtogether into higher order headings. For example, mentor, set example, and trustworthy /authentic were grouped
improve university diversity through exemplary mentoring, merging students who transition between UTEP and EPCC to improve the graduation rate of students in STEM fields. She also encourages students with disabilities (or as one calls it ”special abilities”) to pursue degrees in STEM as well as break barriers for women in engineering to create a broad spectrum of opportunities and meet the 21st century STEM demands. Although having a passion of helping beyond students learning, Carolina also had advocated and helped students who major in Mechanical Engineering as an exemplary Teachers Assistant in the Mechanical Engineering department laboratory ”Lockheed Martin” to have a reflection of a real-world engineering