laboratory in undergraduate engineering education,” Journal ofEngineering Education, vol. 94, no. 1, pp. 121–130, 2005.3. E.D. Lindsay and M.C. Good, “Effects of Laboratory Access Modes upon Learning Outcomes,” IEEE Trans.Education, vol. 48, no. 4, pp. 619-631, Nov. 2005.4. V. J. Harward, J. A. del Alamo, S. R. Lerman P. H. Bailey, J. Carpenter, et. al., "The iLab Shared Architecture:A Web Services Infrastructure to Build Communities of Internet Accessible Laboratories," Proceedings of theIEEE , vol.96, no.6, pp.931-950, June 2008.5. P. Orduña, “Transitive and Scalable Federation Model for Remote Laboratories,” Doctoral Thesis, Univertityof Deusto, Bilbao, Spain, Apr. 2013. [Online]. Available:http://morelab.deusto.es/media/publications/theses/pablo
), whichoutlines the knowledge, skills and attitudes necessary to enter the professional practice of civilengineering. Civil engineers need experience both in the engineering and technology aspects oftheir chosen sub-discipline(s) as well as in common professional practice areas. Many of thecapabilities in these areas are attained primarily through engineering experience. The ASCEpolicy statement is presented below. The full policy, with a description of the issue andrationale, may be viewed at: http://www.asce.org/issues-and-advocacy/public-policy/policy-statement-547-engineering-experience-for-professional-licensure/ ASCE Policy Statement 547 ENGINEERING EXPERIENCE FOR PROFESSIONAL LICENSURE
formal assessments. Several possible metrics are concept exams andmore consistent student surveys.Future WorkThe main focus of future work will be to develop a library of simple visual examples,specifically for the mathematics classroom, and to experiment with approaches to include studentreflection on their understanding as well as on their own learning styles. These modules easilyfall into the category of an active learning exercise, but additional assessment metrics, perhapswith more focus on the degree to which students recognize this type of approach as valid, areneeded.References[1] Bourn, R., and Baxter, S. C. (2013), Developing Mathematical Intuition by Building Estimation Skills, Paperpresented at 2013 ASEE Annual Conference, Atlanta
their specimens, a benchtop mechanical tester (MTestQuattro; ADMET,Inc., Norwood, MA, USA) was used by the students to deform their specimens in tension at afixed deformation rate of 0.5 mm/s until failure was observed. Engineering stress-strain curveswere constructed from the resulting data, and the students determined the Young’s modulus (E),yield stress (σy), and strain at failure (εf) for each specimen. A full list of materials, step-by-stepinstructions, discussion questions and a glossary of engineering terminology is publicallyavailable.8 While only one deformation rate is investigated here, activity extensions could beperformed to investigate the effect of rate on the deformation response. As many polymericmaterials are viscoelastic
integrated teaching and learning program,” International Journal of Engineering Education, vol. 15, no. 1, pp. 20–31, 1999. 9. D. W. Knight, L. E. Carlson, and J. F. Sullivan, “Improving engineering student retention through hands- on, team based, first-year design projects,” in ASEE 31st Conference on Research in Engineering Education, June 2007. 10. “Makerspaces,” ELI, 2013. 11. R. S. Kurti, D. Kurti, and L. Fleming, “Practical implementation of an educational makerspace: Part 3 of making an educational makerspace,” Teacher Librarian, 2014. 12. R. S. Kurti, D. Kurti, and L. Fleming, “The environment and tools of great educational makerspaces part 2 of making an educational makerspace
volunteer or lead within the ETD or ETC; thebarriers to volunteer; and specific issues of why future leaders may not want toparticipate in ASEE ETD and ETC activities.One question in both the past and current leader surveys addressed whether the facultymember’s dean, chair, or supervision supported their leadership role(s) in ETD or ETC.The results were strikingly similar. A vast majority, (87%) in both groups, reported thatthey had support of their dean, chair or supervisor, shown in in Table 1 - Question 1. Table 1 - Question 1 Question Past Leaders % Current Leaders %1. Did your dean, chair, or supervisor supportyour leadership role
for EE. To stay consistent with EE, ME will also be employed as a form ofpre-/post-assessment as well. Additionally, as students prepare to graduate we willperform semi-structured interviews, to understand how they used the labs and any gainsthey showed in learning outcomes. This will be new for both ME as well as EE.ConclusionsFrom the efforts at Colorado School of Mines, a number of conclusions can be drawn: § Makerspaces can successfully be established through both student and faculty led efforts. § Implementing hands-on projects throughout the curriculum will increase the number of students who start using the space/s and continue to use the space/s. § Establishing safety throughout several different
truue in relationn to the first three categooriesof epistemmic knowled dge and again w the resuults in studiees [7] and [8]]. In other words n coincides withthere is very v little diffference betw ween the episstemic viewss of Freshmaan and sophoomore studennts.Considerring the amou unt the studeents have stuudied and thee level of diffficulty they reach in theiirsophomo ore year, it caan only be deeduced that students s conntinue to relyy on their insstructors for ttheright answwers. It wouuld be interessting to find out why theyy do not vennture into moore uncertainnareas or towards t highher order thinnking
., & Xu, Z. D. (2014). International engineering leadership education and its implications toChina (Part 1). Research in Higher Education of Engineering, 2: 7-17.[6] Morrison, R. E., & Ericsson, C. W. (2006). Developing Effective Engineering Leadership. London:The Institution of Engineering and Technology.[7] McGuigan, A. P. (2010). Beyond graduation — the importance of continued leadershipdevelopment.Engineering Leadership Review,1(1): 29-44.[8] Russell, J. S., & Yao, J. T. P. (1996). Education conference delivers initiatives. Journal ofManagement in Engineering - ASCE, 12(6): 17-26.[9] Clough, G. W. (2004). The engineer of 2020: Vision of engineering in the new century. Washington:National Academy of Engineering.[10] Spinks, N
assessment options,” New Dir. Community Coll., vol. 1994, no. 88, pp. 69–83, 1994.[6] H. G. Andrade, “Teaching With Rubrics: The Good, the Bad, and the Ugly,” Coll. Teach., vol. 53, no. 1, pp. 27–31, Jan. 2005.[7] Y. M. Reddy and H. Andrade, “A review of rubric use in higher education,” Assess. Eval. High. Educ., vol. 35, no. 4, pp. 435–448, 2010.[8] R. Stiggins, J. A. Arter, J. Chappuis, and S. Chappuis, “Classroom assessment for learning,” Doing It Right- Using It Welha, 2007.[9] S. M. Brookhart, How to create and use rubrics for formative assessment and grading. Ascd, 2013.[10] S. Bargainnier, “Fundamentals of rubrics,” Pac. Crest, pp. 1–4, 2003.[11] C. A. Mertler, “Designing scoring rubrics for your classroom,” Pract. Assess. Res
that the former includes professionalskills and competencies such as industrial engineering and management, communicationskills, ethics etc, whilst the latter focuses on preparing students for a future academic career.Serving all needsAfter five years of studies, a student following the system(s) described above could be entitledto three degrees. These degrees have slightly different learning goals. In order to award allthree degrees, the university needs to assess and assure that the learning goals are achieved.How can this be monitored, and is it even possible? Some previous publications [3, 4] suggestthat it is possible but requires a lot of effort in adapting program goals to course goals andensuring a high standard in the curriculum
. The student teams then wrote about their optimization process andresults in an IMRAD lab report. By completing the project, students fulfilled several of thecourse goals, such as demonstrating an effective design process, generating multiple solutions,analyzing possible solutions, and seeing the design through to completion. They also gainedexposure to the IMRAD genre and were able to practice writing a technical description of theiroptimized WEC design and creating effective visuals for data presentation.References1 Dusseau, R. A., & Chandrupatla, T. R., & Slater, C. S., & Schmalzel, J. L. (1996, June), Development OfMultifunctional Laboratories In A New Engineering School Paper presented at 1996 Annual Conference,Washington
information information but made information and made(20%) one mistake more than one mistake Collected the data with Collected the data properly Collected the data but Data collection noise such that S/N <1 with low noise with the given with more noise such skill (20%) and the data became procedure that S/N is still >1
engagement with programs/students Stakeholder Group -‐ Facilitate engagement of leaders from across campus and the region Competition Support -‐ Deliberate support for student teams in business plan and pitch competitions and engagement with strategic partners, funders, and others. Cross-‐Campus and Regional Collaboration -‐ Active dialogue to facilitate collaboration and identification and engagement of regional partners Center Expansion (2016 -‐> ) Dedicated Personnel – Full time center leadership Mentor(s)-‐in-‐Residence – On-‐campus practitioners actively working with students Curricular Integration – Cohesive connections across multiple existing
further study.1 ABET Outcomes, Criterion 3. Retrieved 12/18/15 from http://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2016-2017/#outcomes2 Giesecke, F., Mitchell, A., Spencer, H., Hill, I., Dygdon, J., Novak, J., & Lockhart, S., (2009). Technical Drawing, 13th ed., Pearson Prentice Hall, Upper Saddle River, New Jersey.3 Ullman, D., (1994). The Mechanical Design Process, 3rd ed. McGraw-Hill, Boston, MA4 Zemke, S. & Zemke, D., (2013). Cognitive hindrances to learning mechanical design. International Journal of Engineering Education 29(2): 450-458.5 Eckert, C. & Stacey, M. (2001). Dimension of communication in design, International Conference on Engineering
theory can guide the developmentand implementation of beneficial changes.AcknowledmentThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1329224. 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 National ScienceFoundation.References1. Clough, G.W., The engineer of 2020: Visions of engineering in the new century. National Academy of Engineering, Washington, DC, 2004.2. Dryburgh, H., WORK HARD, PLAY HARD Women and Professionalization in Engineering—Adapting to the Culture. Gender & Society, 1999. 13(5): p. 664-682.3. Faulkner, W., Dualisms, hierarchies and gender in
individuals’qualities that add to a team’s assets in a social interaction, may be crucial at the initial stage ofteam creativity in determining the richness and quality of ideas available to the team.Teamology approachThe Teamology approach is used to help us form effective teams. Rather than take a subjectiveapproach to forming teams, Teamology uses a student’s personality type scores to classify theirdominant cognitive mode(s), or dominant way of thinking. The personality type scores are drawnfrom a Myers-Briggs-like test that assesses the four areas below:• How outwardly or inwardly focused a student is - Extraverted versus Introverted. • How a student takes in information – Sensing versus Intuition. • How a student makes decisions – Thinking versus
, profession-based, industry andsociety level abstract learning objectives is surprisingly short. It is as close as your closeststudent. SBL is focusing on student’s knowledge, skills and self-awareness capabilitiesthrough its methodology. It is not a substitute for engineer´s disciplinary knowledge. It ispart of “software” that runs the engineering skills through making the student morecapable in creating and sharing her passion, vision and thoughts in a group of people.Though not listed directly in the ABET criteria1, 16 document we believe that thesequalities are part of the key skill set in creating sustainable engineering, coming up withnew ventures, commitment to life long learning, and simply fostering ethical andcommitted individuals to the
world. Retrieved from The Telegraph: http://www.telegraph.co.uk/news/science/large-hadron-collider/3351899/Large- Hadron-Collider-thirteen-ways-to-change-the-world.html4. Khan, S., & Kissick, B. (2008). Beating the Competition Down with the Stick of Education: A Winning Strategy for a Global World. AC 2008-2662, (p. 9).5. Esparragoza, I., Larrondo Petrie, M. M., Jordan, R., & Paez Saavedra, J. (2007). Forming the Global Engineer for the Americas: Global Educational Experiences and Opportunities Involving Latin America and the Caribbean. AC 2007-576, (p. 20).6. Esparragoza, I., Larrondo, M., & Sathianathan, D. (2008). : Global Engineering Education in the Americas
will be compared between the cohorts. Persistence inengineering is defined as either graduating from a major in the School of Engineering or beingcurrently enrolled in a major that is within the School.Analysis and ResultsIn order to statistically analyze the cohorts, persistence in engineering was given a value of 1while not persisting was given a value of 0. Students who did not persist in engineering eitherchanged their major or dropped out of SIUE entirely. Each cohort then has an array of 1’s and 0’srepresenting student persistence in engineering, which forms a Bernoulli distribution. Bernoullianalysis is based on the fraction of each group receiving a value of 1 and the fraction receiving avalue of 0.For each cohort, the fraction of
://www.californiacommunitycolleges.cccco.edu/Portals/0/StudentSuccessTaskForce/SSTF_FinalReport_We b_010312.pdf3. Dunmire, E., Enriquez, A., and Disney, K. (2011). The Dismantling of the Engineering Education Pipeline, Proc. 2011 Annu. Conf. ASEE.4. Schroeder, C., Scott, T., Tolson, H., Huang, T., & Lee, Y. (2007). A meta analysis of national research: Effects of teaching strategies on student achievement in science in the United States. Journal of Research in Science Teaching, 44(10), 1436–1460.5. Smith, K., Sheppard, S., Johnson, D., & Johnson, R. (2005). Pedagogies of engagement: Classroombased practices. Journal of Engineering Education, 94(1), 87–101.6. Menekse, M., Stump, G., Krause, S., & Chi, M.T.H. (2013). Differentiated overt
teamwriting team, review a test led to team used contributed test preferably not the coordinator. long and questions, but were ultimately This team should create the unproductive responsible for creating and solutions and rubrics for grading discussions. printing the final version(s) of its the tests as part of the test design. assigned test. Instructors who Any instructor could express Provide a deadline for comments weren’t directly concerns about any questions that prior to review by the test creation involved in had been submitted to the Google team and then
testing techniques.Bibliography[1] ABET “Criteria for Accrediting Engineering Programs,” http://www.abet.org/wp- content/uploads/2015/04/E001-14-15-EAC-Criteria.pdf , accessed Jan. 30, 2016[2] M. McCracken, V. Almstrum, D. Diaz, M. Guzdial, D. Hagan, Y. B.-D. Kolikant, C. Laxer, L. Thomas, I. Utting, and T. Wilusz, “A multi-national, multi-institutional study of assessment of programming skills of first-year CS students,” ACM SIGCSE Bulletin, vol. 33, no. 4, pp. 125–180, 2001.[3] R. S. Lemos, “Measuring Programming Language Proficiency,” AEDS Journal, vol. 13, no. 4, pp. 261–273, Jun. 1980.[4] M. J. Stehlik and P.L. Miller, “Implementing a mastery examination in computer science,” 1985, downloaded from
, 2004.5. Toohey S., "Designing courses in Higher Education", Buckingham, UK: SRHE and Open University Press, 1999.6. F.P. Deek, F.P., Kimmel, H., & McHugh, J., “Pedagogical changes in the delivery of the first course in computer science: Problem solving then programming”, Journal of Engineering Education, 87, 3, pp. 313-320, July 1998.7. Meier, R.L., Williams, M.R., and Humphreys, M.A., “Refocusing our efforts: assessing non-technical competency gaps”, Journal of Engineering Education, 89, 3, pp. 377-385. 2000.8. Massa N.M., Masciadrelli G.J, Mullett G.J., " Re-Engineering Technician Education for the New Millennium ", Proceedings of ASEE AC 2005-504.9. Bransford, J. D., Donovan, M. S., Pellegrino, J. W., (Eds.), How People Learn
profiles16,15, language recognition with the study ofspecific patterns from bilingual speakers17, classification of species, and many otherdisciplines including medicine, biology, image classification, speech recognition, computerscience, insurance, among others18,19.K-Means algorithmK-Means is a partition-based clustering algorithm that takes as input parameters a set S ofentities and an integer K (number of clusters), and outputs a partition of S into subsets S1,...,Skaccording to the similarity of their attributes20. Although there are several different variationsand optimizations of K-Means algorithm21, this paper is focused on its four methods (Lloyd,Forgy, MacQueen and Hartigan-Wong).The estimation of the number of clusters in a data collection
and build the "Bombe," a machine that was successfully used by the United States during the war to analyze and “crack” encoded communication messages from the German Naval Enigma machine. While Desch’s work and contributions to the design and manufacturing of such machines led him to be awarded the Presidential Medal for Merit by President Harry S. Truman in 1947, it was not until 1992 that this work was declassified. 8|P a g e In this interview, Anderson discusses her life and career, such as the difficulties of being a woman in the STEM fields. Although not of a STEM profession, she provides encouragement to continue
characterized as a heterogeneous formof communication that leveraged programming and other forms of content expertise as“linguistic resource[s].” 5, 20 These two studies, therefore, challenged the mutual exclusivity oftechnical and social practices under the technical/social dualism and thus highlighted theheterogeneity of the actual engineering practice.Looking across the division of labor literature, scholars illustrate the co-production of gender andtechnology (including engineering) via the technical/social dualism while disrupting how, asBuck and colleagues described, “organizational structures and occupational ethos of engineeringperpetuate this co-constituency.” 2 This body of literature also empirically and conceptuallyadvanced Faulkner’s call
80 91 S 113 93 91Parachute Ejection (m) 109 110 78 77 70 81 109 68 76Maximum Speed (m/sec) 41 40 25 36 35 35 40 37 38Descent Speed (m/sec) 5 4 13 6 5 6 5 4 6Thrust Time (sec) 2.18 2.21 1.79 1.92 2.16 2.13 2.17 1.92 1.88Coast Time (m/sec) 3.40 3.90 2.80 2.90 2.70 3.00 3.30 3.10 3.00Apogee to Eject Time(sec) 0.70 n/a 1.70 1.70 1.60 1.60 1.10 2.60 2.00Total Flight Time (sec) 27.50 29.00 11.9 P 19.10 19.20 20.00 27.40 22.40 19.80Peak Acceleration (G) 7.0 6.8
provided for Spring Break for Research came from a grant throughthe Engineering Excellence Fund, a student-led organization in our College of Engineering andApplied Science. This fund is managed by a group of student leaders who receive funding througha portion of student fees. The BOLD Center also contributed funds to support the workshops, food,and other nominal program costs. For future years we have included a line item for the program inour next round of proposed funding through the Louis Stokes Alliance for Minority Participation.References[1] Figueroa, T., Hurtado, S. (2013). Underrepresented Racial and/or Ethnic Minority (URM) Graduate Students in STEM Disciplines: A Critical Approach to Understanding Graduate School Experiences and