“professional socialization,” acquisition of workplace skillsand attitudes needed for recent graduates to develop successful professional careers [1].Improving these skills may also influence student persistence toward an engineering degree.Student attitudes toward engineering have been identified as playing an important role inpersistence decisions [2]. Specifically, student perceptions of engineering as they relate to futurecareer success are strong predictors of student persistence [3]. Assisting students to developprofessional skills and establish connections to the workplace while still in school may assistthem to complete their degrees and to achieve better success through their workplace transition.In Hull-Blank et al.’s study on the career self
science education. ACM, 2013. 8. L. Pollock , K. McCoy , S. Carberry , N. and X. You, “Increasing high school girls' self-confidence and awareness of CS through a positive summer experience”, ACM SIGCSE Bulletin, V.36 n.1, March 2004. 9. S. Rogers, S. Harris, I. Fidan, and D. McNeel, "Art2STEM: Building a STEM Workforce at the Middle School Level," ASEE Annual Conference, Vancouver, BC, Canada, 2011. 10. I. Pivkina , E. Pontelli , R. Jensen , J. Haebe, “Young women in computing: lessons learned from an educational & outreach program”, ACM technical symposium on Computer science education, TN, USA, 2009. 11. T. W. Tandra, et al. "Bringing up girls in science (BUGS): The effectiveness of an afterschool
. [17] E.J. Coyle, J.V. Krogmeier, R.T. Abler, A. Johnson, S. Marshall and[5] Susan Freeman, Richard Whalen, Courtney Pfluger, Bala B.E. Gilchrist, “The Vertically Integrated Projects (VIP) Program – Maheswaran, Mark Sivak, Josh Hertz. (2016), The Cornerstone Leveraging Faculty Research Interests to Transform Undergraduate Course: Projects and Progress, FYEE Annual Conference The Ohio STEM Education,” Proceedings of the Transforming Institutions: 21st State University Columbus, Ohio
AnalysisThe objective of the second assignment was to apply basic engineering principles of problemdefinition to their system of choice. The assignment goals were to define a system process andrelated variables and identify gaps in the knowledge through a Degrees of Freedom analysis.Students were required to: 1. Sketch your Chesapeake Bay system. 2. Define processes (splitting, mixing, reactions, etc.) and show the streams entering and exiting your process(es). 3. Define and show the variables associated with your processes. 4. Set up a Degrees Of Freedom (DOF) analysis of your system. Determine the variable(s) you will need to calculate (solve for). 5. Determine how many variables will you need to define through research in order
: Microethics, macroethics and the role ofprofessional societies. Science and Engineering Ethics 7(3). 403–414.9. Bocong, L. (2012) From a Micro-Macro Framework to a Micro-Meso-Macro Framework. In Christensen,S., Mitcham, C., Li B., & An, Y. (Eds.). Engineering, Development, and Philosophy: American, Chinese, andEuropean Perspectives. Dordrecht: Springer.10. Van De Poel, I., Fahlquist, J., Doorn, N., Zwart, S., Royakkers, L. (2012). The Problem of Many Hands:Climate Change as an Example. Science and Engineering Ethics 18. 49-67.11. Van de Poel, I., Royakkers, L., and Zwart, S. (2015). Moral Responsibility and the Problem of ManyHands. New York: Routledge.12. Thaler, R. & Sunstein, C. (2008). Nudge: Improving Decisions about Health, Wealth, and
] Krauss, G. Gordon. Neeley, Lawrence (2015). Peer Review Feedback in an Introductory Design Course:Increasing Student Comments and Questions through the use of Written Feedback. Harvey Mudd College.[2] Tseng, S.-C., & Tsai, C.-C. (2007). On-line assessment and the role of peer feedback: A study of high schoolcomputer course. Computers and Education, v. 49 , 1161-1174.[3] Sung, Y.-T., Chang, K.-E., Chiou, S.-K., & Hou, H.-T. (2005). The design and application of a web-based self-and peer-assessment system. Computers and Education, 45, 187-202.[4] Gielen, S., Peeters, E., Dochy, F., Onghena, P., & Struyven, K. (2010). Improving effectiveness of peer feedbackfor learning. Learning and Instruction, 20, 304-315.[5] Topping, K. (1998). Peer
60 40 20 0 Systems 2 and 4 Systems 1 and 3 (under-damped) (over-damped) Figure 9: Bar graph for final exam question 1 r(t) System, G(s) y(t) Figure 10: Input/output black box for Question 2damping than system 1. While this is true in some sense, it
common ground. Acknowledgements The researchers would like to thank the Purdue Research Foundation for supporting thispublication and our research. 20Formal Education and Computing Professionals’ Needs References1 Zweben, S. (2014). Computing Degree and Enrollment Trends. Computing Research Association. Retrieved from cra.org/uploads/documents/resources/taulbee/CRA_Taulbee_CS_Degrees_and_Enrollme nt_2012-13.pdf2 Besterfield-Sacre, M., Cox, M., Borrego, M., Beddoes, K., & Zhu, J. (2014). Changing engineering education: Views of U.S
Computer Simulations of Conceptual Domains. Review of Edu. Research, 68(2), 179-201.[5] Donovan, S. & Bransford, J. D. (2005). How Students Learn. Washington, D.C.: The National Academies Press.[6] Dunbar, K. N., & Klahr, D. (2012). Scientific Thinking and Reasoning. In K. J. Holyoak and R. G. Morrison (Eds.), The Oxford Handbook of Thinking and Reasoning (pp. 701- 718). London: Oxford University Press.[7] Goleman, D. (2006). Emotional Intelligence. New York: Bantam Dell.[8] Grover, S. & Pea, R. (2013). Computational Thinking: A Review of the State of the Field. Educational Researcher, 42 (1), 38-43.[9] Hawkins, J. (2004). On Intelligence. New York: Times Books.[10] Hebb, D. (1949). The Organization of Behavior. New
. 2. Tugend, A. (June 28, 2013), “What It Takes to Make New College Graduates Employable”, The New York Times, retrieved from www.nytimes.com. 3. Hamilton, T. (May 21, 2014). “Only 2% of companies seeking to hire liberal-arts major, poll finds”, Los Angeles Times, retrieved from www.latimes.com. 4. Adams, S. (November 12, 2014). “The 10 skills employers most want in 2015 graduates”, Forbes, retrieved from www.forbes.com. 5. S. Howe, L. Rosenbauer, and S. Poulos, “2015 Capstone Design Survey – Initial Results”, Proceedings of the 2016 Capstone Design Conference, Columbus, OH. 6. Oakley, B, Felder, R. M., Brent, R. and Elhajj, I, “Turning Student Groups into Effective Teams”, Journal of Student Centered Learning
on each step. Figure 1: Project Adaptation Framework Cyclea. Identifying Outreach DetailsBefore jumping into activity development, it is important to understand the details of the event.The desired objective(s), location, time frame, budget, number of participants, and participants’age range are all important pieces of information required to shape an effective and appropriateactivity.[13] Misunderstanding or misinterpreting any of these details could produce anineffective activity that squanders resources and provide an inadequate experience forparticipants. For example, 5th and 6th graders would need more explanation and completion timeto successfully complete a project that was designed for 7th and 8th grade
the beginning of the semester in the second course inthermodynamics are shown. These questions are based on the topics covered in the prerequisitecourse.Example 1: Identify the following items as (A) True or (B) False23 1. For a composite system consisting subsystems (a) and (b), the overall pressure is always expressed as P = Pa + Pb 2. For a composite system consisting subsystems (a) and (b), the overall enthalpy is always expressed as H = Ha + Hb 3. For a composite system consisting subsystems (a) and (b), the overall specific entropy is always expressed as s = sa + sb 4. The volume of a closed system cannot change during a process 5. A control volume is a special type of closed system that does not interact in any
: Can it be a source of sustained competitive advantage? Academy of Management Review, 11(3), 656-665.Black, S. & Mendenhall, M. (1990). Cross Cultural Training Effectiveness: A Review and a Theoretical Framework for Future Research, The Academy of Management Review, 15(1), 113-136.Bell, S.T., Villado, A.J., Lukasik, M.A., Belau, L., & Briggs, A. L.(2011). Getting specific: a meta-analysis of the demographic diversity variables and team performance. Journal of Management, 37(3), 709-743. doi: 10.1177/0149206310365001.Bernal, D. D., & Villalpando, O. (2002). An apartheid of knowledge in academia: The struggle over the" legitimate" knowledge of faculty of color. Equity &Excellence in
prevents a lengthy divergence into these the arena of arts based researchand design thinking, we briefly define them next. Class assignments were developed within adesign thinking framework of human-centered design developed by the global design firmIDEO (Ideo, 2015). We developed assignments--Projects and Provocations (more on thoselater) keeping in mind IDEO’s Mindset elements of Empathy, Iteration, Creative Confidence,Making, Embracing Ambiguity, and Learning from Failure. Course activities also incorporateddesign thinking concepts of Ideation and Implementation methods to evaluate research, defineproblems, establish audience/s, and develop solutions. In addition to design thinking methods,we were inspired by the methods of the emerging field
international policies on entrepreneurship and engineering education.References 1. Lucena, J., Downey, G., Jesiek, B., and Elber, S. (2008) Competencies Beyond Countries: The Re- Organization of Engineering Education in the United States, Europe, and Latin America. Journal of Engineering Education, 97 (4) 433-447.2. Lattuca, L. R., Terenzini, P.T., & Volkein, J. F. (2006) Engineering Change: A Study of the Impact of EC2000. ABET: Baltimore3. ABET (n/d). Criteria from Accrediting Engineering Programs-Proposed Changes. Retrieved from: http://www.abet.org/wp-content/uploads/2015/11/Proposed-Revisions-to-EAC-Criteria-3-and-5.pdf4. ABET. 2016-2017 Rationale for Revising Criteria 3 and 5. Retrieved from: http
CPS grant1329742.References[1] R. Lynn, “Enhancing Awareness of Additive and Subtractive Manufacturability with Voxel-Based Simlations,” Georgia Institute of Technology, 2017.[2] R. H. Todd, W. E. Red, S. P. Magleby, and S. Coe, “Manufacturing: a strategic opportunity for engineering education,” Journal of Engineering Education, vol. 90, no. July, pp. 397–405, 2001.[3] “Criteria for Accrediting Engineering Programs.” ABET Engineering Accreditation Commission, 2014.[4] Min Jou, “Development of an e-learning system for teaching machining technology,” in Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., pp. 347–352.[5] J.-D. Kim and M.-H. Kim, “A study on the
interdisciplinarySTEM module for middle and early secondary school students. International Journal of STEMEducation, 1(6), 1–7.Berland, L. K. (2013). "Designing for STEM Integration." Journal of Pre-College EngineeringEducation 3(1): 22-31.Birgili, B. (2015). "Creative and Critical Thinking Skills in Problem-based LearningEnvironments." Journal of Gifted Education and Creativity 2(2): 71-80.Bloom, B. S., Englehart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomyof educational objectives: The classification of educational goals, handbook I: Cognitive domain.New York.Blumenfeld, P. C., E. Soloway, R. W. Marx, J. S. Krajcik, M. Guzdial and A. Palincsar (1991)."MOTIVATING PROJECT-BASED LEARNING - SUSTAINING THE DOING,SUPPORTING THE
, ismore advantageous than traditional lecturing in improving student performance across the STEMfields and across all class sizes. This aligns well with the need in the engineering mechanicsclasses to engage student in qualitative judgement activities for active learning.Several studies have been conducted on demonstrations for engineering courses. Vander Schaafand Klosky [12], Welch and Klosky [13] presented demonstrations for solid mechanics to linktheory to the students’ natural knowledge and excite interest in the course. Paul. S. Steif andAnna Dollár [14, 15, 16] developed demonstrations on statics along with concept questions thatinvolved students applying forces with their hands or body to make force and moment conceptsmore perceivable in
, TechnologyEngineering and Math Education (C-STEM). One of the authors began teaching an “Introductionto 3D Printing & Design” class in the summer of 2016, and the C-STEM purchased threeFusion3 F-400S’s, an FDM machine, specifically for the class (see Figure 11). The C-STEM hasallowed the Library to keep one of the machines on loan. The F400-S was chosen because itallows the use of a wide range of printing materials such as PLA, ABS, ASA, PETG,Polycarbonate, PC-ABS, Flexible, Polyesters, Acrylic, Soluble, and more.43 Its build volume of14.0 in x 14.0 in x 12.60 in (355 x 355 x 320 mm) is also more than two times larger than theLulzbot TAZ 5 and five times larger than the FlashForge. Between the three printers, the 3DPrint Studio can print almost any model
laboratory environments.Acknowledgement This research is funded by the National Science Foundation NSF NRI #1527148. Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsors.References1. National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0) (nsf17518) | NSF - National Science Foundation.2. Tucker C, Kumara S. An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback. In: ; 2015:26.178.1-26.178.13.3. Hu Q, Bezawada S, Gray A, Tucker C, Brick T. Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities. In: ASME 2016
to solar panel. future paper.Accomplishments included fabrication of a solar-powered DAQ system, submission of a writtenproposal for an intended application of their sensor(s), and an oral presentation to the class of theproject results. Students voluntarily completed an end-of-semester survey on their achievementof the intended goals. Forty-seven students completed the course (eight were not declaredchemical engineers or freshmen); an additional five dropped the course within the first fewweeks of class. Thirty working solar-panel boxes were completed for twenty-three individual orteam projects (all students completed initial machine shop training), and thirty-seven surveyswere completed (79% response rate). One professor lectured
-informed treatment of flow coefficient and/or friction. 45 Muzzle Sensor 40 Backstop Isothermal 35 Adiabatic Compressible Flow Model, Cv=1.25 30 Exit Velocity (m/s) 25 20 15 10 5 0 4 6 8 10 12 14 16 18 20
Paper ID #19149Capstone - Rules of EngagementDr. Afroditi Vennie Filippas, Virginia Commonwealth University Dr. Filippas received her B.S. in Electrical Engineering from the University of Patras, Greece. After earn- ing her M. S. and Ph. D. from the University of Texas at Austin, she completed post-doctoral research with the Institute of Accelerating Systems and Applications in Athens, Greece. Post-academically, she worked for Ansoft Corporation as a research scientist spearheading the development of the next genera- tion code for Ansoft DesignerTM. Dr. Filippas joined Virginia Commonwealth University as an Assistant
exponential functions such as e2x correctly. Most students or in some cases the entireclass did not completely answer the thermodynamics questions correctly. For example none ofstudents completely answered the following question correctly. For a single component fluid (e.g.,water) in the two-phase saturation region, which of the following properties defines the state (areindependent pair of properties)? Circle all correct pair of properties: a) P and v, b) P and s, c) P and T,d) v and x, e) T and x, f) u and v.Most students could not correctly simplify the following general rate equations as applied to acontrol volumes with single inlet and outlet under specified conditions. dmcv dt m m i
constructs, we would not necessarily expect that these two facultygroups share similar pedagogical approaches.Our data also reveal a correlation between ILS alignment score and pedagogical choices, with ahigher A-R or S-G misalignment corresponding to a more lecture-centric teaching approach.Faculty with higher mismatch on the S-I and V-V dimensions tended to use more of the research-based pedagogies including active and collaborative learning.Are ILS results a proxy for expertise in this case?In reflecting on these results, one cannot help but wonder why the ILS misalignment betweenfaculty and students is so dramatic across several ILS dimensions—more dramatic than has beenpreviously reported[31]. This observation is intriguing, and acknowledging
, electro-mechanical technology, passive technology, information technology and advanced materialtechnology. This categorization is based on the types of actuating technologies used in responsive 4Fig.1: Sensing, actuating and control technologies used in responsive facade systems 5facade systems. Also, a system with integrated technology is proposed by integrating passive andactive systems, which utilizes the advantages of both systems.Mechanical Technology and Responsive FacadesThe previously discussed factors triggered the need for transition from traditional static facades toautomated facades. The common architectural slogan in the 1960’s was “make a
literature review and what 3 Support table & Map for topic must it contain? Support & Map Topic Devel. & Readings. Fine tune literature map, What possible research structure(s) & ethical issues 4 identify research discipline or genre should be consider for your thesis topic? Ethics Philosophy & K & R Ch. 1 & 7, Bring journal article How do research philosophy, scientific theory & 5 with methodology you might use methodology impact research outcome? Methodologies
; Wenderoth, M. P. (2008). Biology in Bloom: Implementing Bloom’ s Taxonomy to Enhance Student Learning in Biology. CBE - Life Sciences Education, 7, 368–381. http://doi.org/10.1187/cbe.08Forbes-Lorman, R. M., Harris, M. A., Chang, W. S., Dent, E. W., Nordheim, E. V., & Franzen, M. A. (2016). Physical models have gender-specific effects on student understanding of protein structure-function relationships. Biochemistry and Molecular Biology Education, 1– 10. http://doi.org/10.1002/bmb.20956Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of
research, 24(3), 366-385.3. Branford, J. D., & Donovan, S. M. (2005). How students learn: history, mathematics, and science in the classroom. National Academies Press, Washington.4. Sadler, D. R. (1998) Formative assessment: revisiting the territory, Assessment in Education, 5(1), 77–84.5. Butler, D. L. & Winne, P. H. (1995) Feedback and self-regulated learning: a theoretical synthesis, Review of Educational Research, 65(3), 245–281.6. Yorke, M (2003) Formative assessment in higher education: moves towards theory and thenhancement of pedagogic practice. Higher Education, 45(4), 477–501.7. Nicol, D. J., & Macfarlane‐Dick, D. (2006). Formative assessment and self‐regulated learning: A