provides a way toillustrate the range of knowledge gains that could result from a reflection activity. These threefactors are used as a basis to ideate on different kinds of learning possible, but they are not thefinal factor structure we aimed to have for the instrument. Below, we explain each factor, situatethe factor briefly in relevant literature, and provide examples of student utterances that mightalign with the factor.Professional knowledge: Reflection activities clearly have the potential to help students advancetheir knowledge of the topics they are studying in order to become engineers. Our way offraming “professional knowledge” as a type of knowledge arising from engagement in reflectionactivities is in alignment with Stevens et al.’s
. Evans and F. Reeder, A Human Capital Crisis in Cybersecurity: Technical Proficiency Matters. Washington, DC: Center for Strategic & International Studies, 2010.[2] Cyber Seek, “Cybersecurity Supply/Demand Heat Map,” Cyber Seek Website, 2019. https://www.cyberseek.org/heatmap.html (accessed Feb. 03, 2019).[3] D. Dasgupta, D. M. Ferebee, and Z. Michalewicz, “Applying Puzzle-Based Learning to Cyber-Security Education,” in Proceedings of the 2013 on InfoSecCD ’13 Information Security Curriculum Development Conference - InfoSecCD ’13, 2013, pp. 20–26, doi: 10.1145/2528908.2528910.[4] R. S. Cheung, J. P. Cohen, H. Z. Lo, and F. Elia, “Challenge Based Learning in Cybersecurity Education,” 2011, Accessed: Sep. 23
discussion posts indicate that the design andimplementation of this course was effective in meeting the established learning goals andsupporting students’ experiential education experiences in research. Although we hope toincorporate some in-person activities into future offerings of EGR 193, the bulk of the coursewill likely remain online to provide flexibility for students who are pursuing a wide range ofresearch experiences. One important adjustment to future online offerings of this course will beto integrate more opportunities for students to receive encouragement and positive reinforcementfrom their peers and the instructor. As noted in the discussion of week 3’s recommendation letterexercise, the asynchronous nature of this course meant that
students would associate help with the librarians’faces and voices.Table 1: Lesson Plan and Changes for New Workshop Design [1] Lesson Plan Topics Covered in Changes for When/where Assessment 2019-2020 academic 2020-21 covered question(s), year academic year 2020-2021 Introduction How to get help COVID-19 Live virtual Question 1 to the from a librarian; protocols (e.g. class only (live virtual class) Library How to book a mask-wearing, study room booking
curriculum.IntroductionSince 2006 the popularity of computational thinking (CT) - skills for solving problems byadopting the theoretical concepts of computer science - has been increasing substantially,leading to an increase in the amount of research and experiments on the CT method. Yet,there are limited numbers of inquiry investigate approaches to incorporated CT into acurriculum. Betül Czerkawski researched ways to integrate CT across all curriculum, throughsurveying instructional CT designers. She constructed the survey using the ADDIEinstructional design model. One of her findings showed that the Mind Map(s) (MM) strategycan establish a better connection between CT and instructional design [1]; however, verylittle research existed to investigate the correlation
techniques to diverse audiences.In short, after completing the course, students should be able to understand the economicimplications of various courses of action.The course has been taught as a fairly traditional course on engineering economics, using astandard textbook. The learning activities and format for the course have varied depending on theinstructor. The instructor who taught the course in Spring 2019 used a traditionallecture/homework format. In other recent semesters, the instructor has designed a partially“flipped” format. In this format, to prepare for class meetings students are asked to read one ormore sections of the textbook, watch one or more short video clips, and attempt 1-3 problemsbased on the concepts in the reading(s
]. Students scored similarly to their country rankings in other cultural traits regardlessof the students’ areas of study. For example, students from the five engineering majors scoredsimilarly to Ecuador´s country ranking for the Uncertainty Avoidance dimension.One of the dimensions that posed more significant differences between the majors was uncertaintyavoidance. We found consider this is for several reasons. First, there are different disciplinaryperceptions and motivations regarding accepting risks. For example, disciplines like industrial andsystems engineering have relatively low uncertainty avoidance [39] because of the many differentcareer paths students can take and how flexible is the discipline in terms of the type of problemsthey solve
.[3] A. Miguel, J. F. PradaJuan, A. Serafín, G. Sergio and Manuel, D. “Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro- pneumatic classification cell,” Computers & Education, vol. 85, pp. 180-190, July 2015.[4] D. Lowe, P. Newcombe and B. Stumpers, B. “Evaluation of the Use of Remote Laboratories for Secondary School Science Education,” Research in Science Education, vol. 43, pp. 1197-1219, 2013.[5] E. Mitsea and A. Drigas, “A Journey into the Metacognitive Learning Strategies,” International Journal of Online and Biomedical Engineering, vol. 14, no. 14, pp. 4- 20, 2019.[6] S. Appanna, “A Review of Benefits and Limitations of Online
Paper ID #30511Sustainable Collaboration Paradigms Between Math and EngineeringDr. Afroditi Vennie Filippas, Virginia Commonwealth University Dr. Filippas received her B.S. in Electrical Engineering from the University of Patras, Greece. After earning 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 generation code for Ansoft DesignerTM. Dr. Filippas joined Virginia Commonwealth
- perspectives, accessed on Jan 11.15. McGowan, K., 2018, “Embracing the Changing Workforce and Preparing for Generation Z: What Does This Mean for Engineering Firms?,” ASHRE Journal Newsletter, June 2018, https://www.ashrae.org/news/ashraejournal/preparing-for-generation-z, accessed on Jan 11, 2020.16. Felder, R. M., and Brent, R., 2016, Teaching and Learning STEM, John Wiley & Sons, San Francisco, CA.17. Moore, K., Jones, C., and Frazer, R. S., 2019, “Engineering Education for Generation Z,” American Journal of Engineering Education, 8 (2), Dec 2017, pp 111-126.18. Van Treuren, K. W., and Jordan, W., 2019, “What Skills Do Engineers Students Really Need for the Workplace and Life?”, ASEE Annual Conference and Exposition, Tampa FL, June
preparation, simulation-based real-worldprojects like this not only effectively facilitate student learning and make the intricate frequencymethods easier to understand, they also boost student perception on their areas of study (and pos-sibly their future career) due to the positive experience and enhanced understanding of relevance. REFERENCES 1. N. S. Nise. Control Systems Engineering, 6th Edition, Wiley Publisher. ISBN: 978-0-470-54756-4. 2. R. M. Felder, G. N. Felder, & E. J. Dietz. “A longitudinal study of engineering student performance and retention V.Comparisons with traditionally-taught students.” Journal of Engineering Education, 87(4), 469–480. 3. J. Mills and D. Treagust
, the authors plan to continue to study the impact of MESH on onlinecourses on disaggregated student grades by collecting more student responses in these courses in2021. Long-term the authors plan to create a MESH planning tool to help professors think abouthow to incorporate MESH structures into both synchronous and asynchronous class time, andmake intentional choices about how to create a culturally balanced online environment.Bibliography[1] Riegle-Crumb, C., King, B., & Irizarry, Y. (2019). Does STEM Stand Out? Examining Racial/Ethnic Gaps inPersistence Across Postsecondary Fields. Educational Researcher, 48(3), 133–144[2] Hurtado S, Cabrera NL, Lin MH, Arellano L, Espinosa LL. Diversifying Science: Underrepresented StudentExperiences
) n V TT S = Cm (2) A 6/14 • TT S = Total Solidification Time [min] • V = volume of the casting [cm3 ] • A = surface area of casting [cm2 ] • Cm = mold constant [min/cm2 ] • n = an exponent, usually n=2 • Cm depends on: – Mold material – Thermal properties of the cast metal – Superheat (pouring temperature relative to the melting point of the metal) • Total solidification time (TT S
ofall such strategies. We define each strategy γ ∈ Γ(p, q) as a function γ : (X × X ) → R≥0 such that: Z Z q(s) = γ(x, s) dx, and conversely: p(s) = γ(s, x) dx. X XWe can interpret the quantity γ(x1 , x2 ) as the amount of mass moved from x1 to x2 under the strategy γ. Fromthis formulation of the function space Γ, the Wasserstein metric arises naturally under the Euclidean distancemetric as (8): ZZ W (P, Q) = inf γ(x1 , x2 )kx1 − x2 k dx1 dx2 (8
International. Section A, 74, March, 2013.6. Kumar, S., Hsaio, J., 2007, "Engineers learn ‘soft skills’ the ‘hard way’: Planting a seed of leadership in engineering classes," Leadership and Management in Engineering, vol. 7, no. 1, pp. 18-23.7. Baytiyeh, H., 2012, "Disparity between college preparation and career demands for graduating engineers," International Journal of Engineering Education, vol. 28, no. 5, pp. 1221-1231.8. Bayless, D. J., 2013, "Developing leadership skills in engineering students: Foundational approach through enhancement of self-awareness and interpersonal communication," in Proceedings of the Canadian Engineering Education Association Conference.9. Beder, S. 1999, "Beyond technicalities
the types of cryptographic algorithms. In the beginning, aka the70’s, a cryptographic method was developed called the Data Encryption Standard (DES). Thisencryption algorithm consisted of a 54-bit key using the hardware that was available then. Thiswas more than enough encryption to protect files and communication. Technology quicklyadvanced and far surpassed the capabilities of the systems that were encrypted with DES. Thismethod is no longer considered an acceptable method of encryption. This is because it would betrivial for a mediocre computer by today’s standards to break this encryption.With the loss of integrity in the DES algorithm, a variant was conceived that used a three 56-bitnumbered key. This method is considered reasonably
, D.C.: National Academy Press.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3 (2), 77- 101. doi: 10.1191/1478088706qp063oaCandy, P. C. (2000). Reaffirming a proud tradition Universities and lifelong learning. Active Learning in Higher Education, 1(2), 101-125.Ertmer, P. A., & Newby, T. J. (1996). The expert learner: Strategic, self-regulated, and reflective. Instructional science, 24(1), 1-24.Flavell , J.H. (1979). Metacognition and cognitive monitoring: A new area of cognitive- developmental inquiry. American Psychologist, 34, 906-911.Gick, M.L. & Holyoak, K.J. (1987). The cognitive basis of knowledge transfer. In S. M. Cormier
://www.transportation.anl.gov/software/GREET/pu blications.html, May.4. Crittenden, J.C. J. Clean Technol. Environ. Policy 2002, 4(1)6-7. © American Society for Engineering Education, 2017 2017 ASEE Annual Conference5. De Gelder, C., Oele, M., Cleij, V., Moore, M., Durksz, S., Haringsma, A., Wannee, T. 2012. SimaPro installation manual 1.12. PRé Consultants. the Netherlands.6. Dunn, J.B. 2014. Biofuel Life Cycle Analysis with the GREETTM Model. U.S. Department of Energy Biomass 2014: Growing the future bioeconomy. July 29 – 30, 2014. Washington Convention Center. Washington D.C.7. Fontes, J. 2016. Product Social Impact Assessment: Roundtable for product social metrics. PRé Consultants
properties of polysulfones. Macromolecules, 25:3434, 1992. 5. Aitken, C.L., Mohanty, D.K. and Paul, D.R. Gas trans- port properties of poly(arlether bissulfones) and poly(arylether bisketones). J. Polym. Sci. Polym. Phys. Ed., 31:983-989, 1993. 6. Nichol, C.A., and Paul, D.R. Gas transport properties of polysulfones based on dihydroxynaphthalene isomers. J. Polym. Sci. Polym. Phys. Ed., 31:1061-1065, 1993. 7. Nichol, C.A., Zhang, F., and McGinity, J.W. Extrusion of acrylic films. Pharm. Res., 13(5):804-808,1996. 8. Nichol, C.A., Yang, D., Humphrey, W., Ilgan, S., Tansey, W., Higuchi, T., Zareneyrizi, F., Wallace, S., and Podoloff, D., Biodistribution and Imaging of Polyethyleneimine, a gene delivery agent. Drug Delivery
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
used within the course.These preliminary studies indicate the promise in purposeful inclusion of disciplinary literacy practiceswith engineering classrooms to support core content ideas, and sketch out a few possible model practicesand tools for use in classroom settings by instructors. These activities build sense making, reflectivepractice and engineering habits of mind within materials science courses, and show promise in helpingstudents to move from a novice level of understanding towards expertise through the use of writing,speaking and communicating.References1. McConachie, S. M., & Petrosky, A. R. (2009). Content matters: A disciplinary literacy approach toimproving student learning. John Wiley & Sons.2. Shanahan, T., &
, Boston, Mass.10 Ulrich, K. and S. Eppinger, 2004, Product Design and Development, 3rd Ed., McGraw-Hill, New York.11 Cagan, J. and C. M. Vogel, 2002, Creating Breakthrough Products: Innovation from Product Planning to Program Approval, Prentice Hall, NJ.12 Green, M. G., 2005, "Enabling Design in Frontier Contexts: A Contextual Needs Assessment Method with Humanitarian Applications," PhD Dissertation, Mechanical Engineering, University of Texas, Austin.13 Davis, D., S. Beyerlein, O. Harrison, P. Thompson, M. Trevisan, and B. Mount, “A Review of Literature on Assessment Practices In Capstone Engineering Design Courses: Implications for Formative Assessment,” Proceedings of the 2006 American Society for Engineering Education Annual
9 Occurance Detection Severity RPNComponent Function(s) of Component Failure Mode Effects of Failure Potential Cause of Failure Current Design Controls
, professionals (corporate management, etc), family, friends and society ?Week four: In nine-ten pages, respond to the following questions: 1. What technical challenge did s/he address? 2. Why did the investigator(s) undertake the task(s) of interest ? 3. What achievement or resolution of the technical challenge was resulted? 4. What social challenges arose during the individual or team effort, and how were the social challenges resolved ? ( within a corporation ? family ? society at large ? other ? ) 5. What recognition, if any, did the investigator receive
entire book.Week three: Summarize the book in a single page (three paragraphs), which explain 1. What were the social and technical settings of the time ? 2. What was the particular technical challenge addressed, and why was it important ? 3. What was discovered/found, and how was it received by competitors, professionals (corporate management, etc), family, friends and society ?Week four: In nine-ten pages, respond to the following questions: 1. What technical challenge did s/he address? 2. Why did the investigator(s) undertake the task(s) of interest ? 3
, FL (2005). Her research interests are in a cross-section of cognition and technology. Together with Dr. Zywno she is a holder of a nationally funded grant to support their research in engineering education. She is a member of ASEE, SME, and a registered Professional Engineer.Malgorzata Zywno, Ryerson University MALGORZATA S. (GOSHA) ZYWNO Gosha Zywno, M.Eng. (U. of Toronto), Ph.D. (Glasgow Caledonian U.), is a Professor of Electrical and Computer Engineering at Ryerson University. Dr. Zywno is a recipient of several university, national and international teaching excellence and achievement awards, including the 2005 ASEE Sharon Keillor Award, 2002 3M Teaching Fellowship and 2005 Canadian
this option.AcknowledgementsThis project is funded in part by Microsoft Research, as well as with support fromHewlett-Packard Philanthropy, DyKnow, Inc., and our institution.Bibliography[1] DyKnow Vision, Inc. http://www.dyknowvision.com/[2]T. Angelo and P. Cross. Classroom Assessment Techniques: A Handbook for College Teachers. 2nd ed. SanFrancisco, CA: Jossey-Bass, 1993.[3] S. Kirtley interviewed in “New Interactive Software Is an A+ Tool,” Converge Online. [Online]. Available:http://www.convergemag.com/story.php?catid=232&storyid=96769[4] S. Kirtley, D. Mutchler, J. Williams, et al, “The world is our classroom.” Presentation at the HP HigherEducation Mobile Technology Solutions Conference, November 4-5, 2004.[5] S. Kirtley, Z. Chambers