Paper ID #13586Qualitative Analysis of Boundary Spanning Implications within Interviews ofEngagement StakeholdersDr. David A. Delaine, Universidade de S˜ao Paulo and IFEES David A. Delaine has a Ph.D. in electrical engineering from Drexel University, in Philadelphia, USA. He currently serves as an executive member of the International Federation of Engineering Education Societies (IFEES), as Vice President for Student Engagement, Diversity, and Inclusion. IFEES aims to strengthen engineering education practices around the world. He has recently completed his tenure as a Fulbright Scholar and is currently performing
, Pages Textbook Title Author(s) Edition Chapter Analyzed Analyzed rd Fluid Mechanics: Cengel, Y.A., & 2014, 3 Ed. 5. Bernoulli and 230-242 Fundamentals and Cimbala, J. M. Energy Equations Applications Fundamentals of Munson, B.R., 2013, 7th Ed. 3. Elementary 141-156 Fluid Mechanics Okiishi, T. H., Fluid Dynamics – Huebsch, W.W. & The Bernoulli Rothmayer, A.P. Equation
. Page 26.1404.125. References[1] Assessment and Institutional Research. (2010). CUNY Student Experience Survey. New York City College of Technology, CUNY.[2] Barnett, S. & Ceci, S (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612-637.[3] Bateman, C. (Ed.). (2007). Game writing: Narrative skills for videogames. Boston: Charles River Media.[4] Benander, R., & Lightner, R. (2005). Promoting transfer of learning: Connecting general education courses. The Journal of General Education, 54 (3), 199-208.[5] Brooks, R. E. (1977). Towards a theory of the cognitive processes in computer programming. International Journal of Man-Machine Studies, 9, 737-751.[6] Cabo, C
experiences support science career decisions and active learning.” CBE Life Sciences Education 6: 297-306.3. Russell, S. H., M.P. Hancock, and J. McCullough. (2007 ). “The pipeline. Benefits of undergraduate research experiences.” Science 316(5824): 548-9.4. Kinkel, D. H. and S. E. Henke. (2006). “Impact of undergraduate research on academic performance, educational planning, and career development.” Journal of Natural Resources and Life Sciences Education 35: 194-201.5. Lanza, J. and G. C. Smith. (1988). Undergraduate research: A little experience goes a long way. J. Coll. Sci Teach. 18:118-1206. Hunter, A-B., S. L. Laursen, and E. Seymour. (2007). “Becoming a scientist: The role of undergraduate research in students
the assessment of that academy.References 1. Kumar, S., & Hsiao, J. K. (2007). Engineers learn “soft skills the hard way”: Planting a seed of leadership in engineering classes. Leadership and Management in Engineering, 7(1), 18-23. 2. Galloway, P. D. (2008). The 21st Century Engineer: A Proposal for Engineering Education Reform, ASCE Press, Virginia 3. Creed, C. J., Suuberg
completion. The twotools were tested in various engineering courses and mixed results were found: While both toolswere adoptable, only the exam wrapper appeared to be efficacious in this study.Introduction Metacognition, which has as its simplest definition thinking about one’s thinking, is themodern term used to capture the processes that learners use to reflect upon and take actions toimprove their learning. The psychologist John Flavell1 introduced the term in the 1970’s whileadvancing research on the topic, but ideas about the usefulness of reflection in improvinglearning began much earlier, starting with John Dewey2. Both Piaget and Vygotsky – bothrecognized widely for their theories in education – wrote of the role of metacognition in
persistentstructure of the education system even though we were explicitly attempting to behavedifferently. As we, the faculty and students, began to recognize the structure we could let go ofthe problem and the solutions. However, this “letting go” had to occur repeatedly (almostweekly) as the issue continued to be bothersome to many of us.What are the cultural beliefs, values, and paradigms that are causing the problems of intransigentSTEM pedagogies that result in STEM cultures that are exclusive? We first note that “S” refersto the physical, or equivalently, the natural sciences; it excludes all other organized ways ofthinking, or “sciences.” Implicitly, natural sciences are prioritized over other “sciences.”The natural sciences derive knowledge through
tacit.Explicit knowledge is codified and captured in archives and databases in discrete words ornumbers. Tacit knowledge, on the other hand, provides the context for developing andunderstanding explicit knowledge [7]. Tacit knowledge is not codified and is, therefore,harder to communicate. The development of tacit knowledge is a continuous activity betweenindividuals sharing experiences for mutual understanding [6].Knowledge needs to be continuously created in order for it to be continuously shared.Nonaka [6] proposes that knowledge is created through the conversion between tacit andexplicit knowledge via four modes, referred to by the acronym SECI, in a continuous cycle:1) socialization (S) is creating tacit knowledge from other tacit knowledge through
expertise in biomedical engineering students.In Proceedings of the 2001 American Society for Engineering Education Annual Conference, Albuquerque, NM[2] Brophy. S., Hodge, L. & Bransford, J. (2004, October). Work in progress – Adaptive expertise: Beyond applyacademic knowledge. In the ASEE/IEEE Frontiers in Education Conference.[3] Crawford, V. M., Schlager, M., Toyama, Y., Riel, M., & Vahey, P. (2005, April). Characterizing adaptive expertise inscience teaching. In annual meeting of the American Educational Research Association, Montreal, Quebec, Canada.[4] De Arment, S. T., Reed, E., & Wetzel, A. P. (2013). Promoting Adaptive Expertise A Conceptual Framework forSpecial Educator Preparation. Teacher Education and Special Education: The
the course. Future data collection will also provide the opportunity to assess thecourse’s long-term viability and effectiveness as either a stand-alone course within thecurriculum or as an incubator that can be integrated into existing courses.References1. Streveler, R. A., Smith, K. A. & Pilotte, M. Aligning course content, assessment, and delivery: Creating a context for outcome-based education. K. Mohd Yusof, S. Mohammad, N. Ahmad Azli, M. Noor Hassan, A. Kosnin S. K, Syed Yusof (Eds.), Outcome-Based Educ. Eng. Curric. Eval. Assess. Accreditation. Hershey, Pennsylvania IGI Glob. (2012).2. Wiggins, G. P. & McTighe, J. Understanding by design. (Ascd, 2005).3. Dewey, J. Education and experience. (1938).4
.2.2.1 Development Academic Partner and ActivitiesDistinguished faculty members from the Milwaukee School of Engineering and Virginia StateUniversity (a HBCU partner) have supported this project from the very beginning asDevelopment Academic Partners. Mutual interest is instrumental in this longstandingpartnership. The role of the academic development partner is well defined and involves thefollowing: Identifying at least one local industry partner involved in software development activities Working with assigned focus groups to critically review current course Developing six hours of course modules to address identified gaps in a content area familiar to the university program and its local industry partner(s
creativity and innovation. The instructordecides what should be learned based on their own paradigm of what a good engineer shouldknow, but this does not take into account the interests of the student or the ever-changing needsof the world. The underlying assumption of this predominant system is that human beings are notnatural learners and must be forced to learn through external behavioral motivations such asreward and punishment.A look through the literature shows that in the 1990’s, before No Child Left Behind (NCLB),there was much talk about grading and assessment, mostly related to standards-based grading.The discussion faded from view as the consequences of NCLB focused on the detrimental effectsof standardized testing. During these early
for Applied Research. Retrieved from http://www.educause.edu/library/resources/ecar-study-undergraduate-students-and-information-technology-2012[3] Flowers, L., Pascarella, E. T., & Pierson, C. T. (2000). Information technology use and cognitive outcomes in thefirst year of college. Journal of Higher Education, 637-667.[4] Kuh, G. D., & Hu, S. (2001). The relationships between computer and information technology use, selectedlearning and personal development outcomes, and other college experiences. Journal of College StudentDevelopment, 42(3), 217-232.[5] Kvavik, R. B., Caruso, J. B., & Morgan, G. (2004). ECAR study of students and information technology 2004:Convenience, connection, control, and learning. Boulder, CO: EDUCAUSE
; 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
used to rank eachcandidate in which a low GPA would not automatically disqualify an applicant as long as therewere other positive aspects within the application. Positive aspects included: extracurricularactivities that demonstrate ability to work on a team, personal statement demonstrates a passionfor a particular area of research that matches the planned REU projects, no prior researchexperience, home institution lacks research opportunities, high GPA in particular course(s),and/or exceptional recommendation letter(s). At least six quality applicants from the target poolwere selected. The remaining four slots would go to the highest ranked applicant in either targetor non-target pool.The only factor that could automatically disqualify an
Organization (UNESCO).References[1] W. Cobern. Socio-cultural perspectives on science education: An international dialogue. Dordrecht, TheNetherlands: Springer Publishing, 1998.[2] J. S. Eccles. Where are all the women? Gender differences in participation in physical science and engineering.In S. J. Ceci & W. M. Williams (Eds.), Why aren't more women in science? Top researchers debate the evidence(pp. 199-212). Washington, DC: American Psychological Association, 2007.[3] M. Greene. Self-consciousness in a technological world. Retrieved 3 January 2008 fromwww.pocketknowledge.tc.edu. n/a 1965-2008.[4] L. Lee & D. Wilson. Empowering the engineering undergraduate in an era of economic globalization, Frontiersin Education Conference: Indianapolis
Technical College Jill Davishahl is a faculty member in the engineering department at Bellingham Technical College where she teaches courses ranging from Intro to Engineering Design to Engineering Statics. Outside of teach- ing, Jill is working on the development of a Bachelor of Applied Science in Engineering Technology and is currently PI on the NSF funded ATE project grant in renewable energy as well as PI on an NSF funded S-STEM project. She holds a Master of Science in Mechanical Engineering from the University of Washington.Mr. Eric Davishahl, Whatcom Community College Eric Davishahl is faculty and engineering program coordinator at Whatcom Community College. His teaching and research interests include
Frequency Frequency (%) (n=12 projects) (n=10 projects) Health 20 37 85% increase Toilet(s) 61 83 36% increase Sewage 21 27 29% increase Sanitary 4 5 25% increase Sanitation 35 40 14% increase Urine 29 23 21% decrease Latrines 7 4
, author(s), sponsor(s), measurement scale(s), and citation(s)[3]. The first model, the Advanced Manufacturing Competency Model does not have anydocumentation in its graphic representation. It does not have a detailed title, author, sponsor,measurement scale, and citation. The second model, the Four Pillars of ManufacturingKnowledge has a detailed title at the top. However, it does not have any other documentation.Lastly, the visual display of the NAM-endorsed Manufacturing Skills Certification System showsa sponsor in the bottom-right corner but does not have any other documentation.Tufte Principle 6: Content Counts Most of AllTufte’s last principle of analytical design is “Content Counts Most of All”. It asserts that allanalytical presentations
library research instruction," RQ, vol. 33, no. 4, pp. 524-541, 1994.[3] L. R. Kunkel, S. M. Weaver, and K. N. Cook, "What do they know?: An assessment ofundergraduate library skills," The Journal of Academic Librarianship, vol. 22, no. 6, pp. 430-434, 1996.[4] AASL/AECT, Information Power: Building Partnerships for Learning. Chicago, IL:ALA, 1998.[5] S. Virkus, "Information literacy in Europe: a literature review," Information Research-anInternational Electronic Journal, vol. 8, no. 4, pp. 1-56, Jul 2003.[6] M. Hepworth, "A study of undergraduate information literacy and skills: The inclusion ofinformation literacy and skills in the undergraduate curriculum," presented at the 65th IFLACouncil and General Conference Bangkok
Oral Report 2 Lab 3 Stats Exam Due Draft 3 Due Draft Rvw 3 Final Report 3 Due Debrief + Writing Week 3 Do Lab 4 Oral Report 4 Lab 5 Workshop Due Draft 5 Due Draft Rvw 5 s Final Report 5 Due Week 4 Do Lab 6 Oral Report 6 Lab 7 Debrief Due Final Report 7 Due Week 5 Do Lab 8 Oral Report 8 Lab 9 Oral Briefing 9Students are further divided into sub-groups or “houses”, two of which follow theMonday/Wednesday schedule
. National Academy of Engineering and American Society for Engineering Education, (2014). Surmounting the barriers: Ethnic diversity in engineering education: Summary of a workshop. Washington, DC: The National Academies Press, 2014.14. National Academy of Engineering; Grand Challenges for Engineering: Imperatives, Prospects, and Priorities. Washington: National Academies Press, 201615. Woolsey, S. A. & Shepler, D. K.; Understanding the early integration experiences of first- generation college students. College Student Journal. 45, 4, 700-714, 2011.16. Antonio, A.L., Chang, M.J., Hakuta, K, Kenny, D.A., Levin, S. & Milem, J.F. , Effects of racial diversity on complex thinking in college students. Psychological Science. 15, 8
. Bates, C. Allendoerfer, D. Jones, J. Crawford, and T. Floyd Smith, “The relationship between belonging and ability in computer science,” in Proceeding of the 44th ACM technical symposium on Computer science education - SIGCSE ’13, 2013, p. 65.[4] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, “Leaving Engineering: A Multi- Year Single Institution Study,” J. Eng. Educ., vol. 101, no. 1, pp. 6–27, 2012.[5] B. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attrition from Engineering Majors,” Int. J. Eng. Educ., vol. 29, no. 4, pp. 914–925, 2013.[6] J. L. Smith, K. L. Lewis, L. Hawthorne, and S. D. Hodges, “When Trying Hard Isn’t Natural: Women’s Belonging with and Motivation for
credits), and three electives (8 – 9 credits). The table also shows the studentlearning outcomes (see Appendix A for detailed definitions) created to fulfill the program’seducational objectives, and satisfy ABET accreditation requirements. The numbers in the tablerepresent the level of a course’s contribution to a given outcome (3 being the highest). Table 1: MCT Program StructureCredit MCT Curriculum Contribution to Student Learning Outcomes s (Total Credit Hours: 128) a b c d e f g h i j k M1 M2 M3 60 Lower Division Science/Technical Courses 27 General Education 25 Upper Division Technical Core 3 ET3030
EML in structural analysis course. The students wereassigned a project competition to design a prototype balsa wood bridge truss for ODOT. Basedon students’ feedback and observation of the instructor, the project competition based on theframework discussed herein can expose students to EML effectively and improve theirperformance.AcknowledgementsThe author acknowledges the financial support of 2018-19 KEEN Cross Network Grant at OhioNorthern University. The input from Dr. Heath LeBlanc is greatly appreciated.References[1] Svihla, V. and Reeve, R., 2016. “Facilitating Problem Framing in Project-Based Learning.”Interdisciplinary Journal of Problem-Based Learning, 10(2).[2] Mikesell, D. R., and Yoder, J-D. S., 2011. Teaching dynamics with a
business processes necessaryto nurture new technology from concept to commercialization.Concluding remarksThe pitch presentation as a communication technique is an effective tool in the arsenal ofentrepreneurial thinking. Considerable work, preparation and motivation are required to deliveran effective and persuasive presentation of this kind. At Stevens we have developed a companioncourse to the senior design sequence that involves a required participation in a pitch competition,involving prizes of considerable monetary value that are externally endowed in perpetuity. Wehave found that the format of our pitch presentation is well-structured, with both internal andexternal validation. The engineering teams select their best pitcher(s) to represent
trips. If networkintrusion attacks succeed to compromise IoV systems, intruders will control the autonomous vehiclescommunicating with the infrastructure, and this may lead to serious fatal consequences. Therefore,using an IDS to protect the IoV system is very crucial. In this project, students will use traditional IDSto protect the IoV system.REFERENCES[1] Cisco, "Cisco Visual Networking Index: Forecast and Trends, 2017–2022 White Paper," 2019.[2] IBM, "The demand for cybersecurity professionals is outstripping the supply of skilled workers," 2019.[3] T. Omar, S. Venkatesan and A. Amamra, "Development of Undergraduate Interdisciplinary Cybersecurity Program: A Literature Survey," in ASEE Annual Conference & Exposition, Salt
DescriptionWe designed the VR simulation to mirror the physical simulation of the four-member teamproduction process. The VR simulation was built in the Unity game engine in the 2018 Long TermSupport release. The simulation worked both with the HTC Vive VR headset and the Oculus RiftS headset, the two most popular virtual reality platforms. For this section, we use "user" to referto a student or a participant using the VR simulation. The simulation was designed for thesimultaneous participation of four users, although two to three users would be able to participatewith some adaptation. Each user wore either an HTC Vive headset or an Oculus Rift S headset.The headsets could be mixed. Through the headset, each user was presented with a shared
students need and create a learning environment that is both academically rigorousand culturally balanced. Concrete examples showed how STEM faculty have used results oftheir student surveys and other practices to adapt their course(s) to be more culturally responsive,helping students feel welcome, respectful of each other's culture and backgrounds, engaged withSTEM, and prepared for the cultures they may encounter as they transition to the workforce.Thirty-eight post webinar survey responses (a 40% response rate) indicated that the webinarexceeded expectations (47.37%) or mostly met expectations (47.37%). Survey respondentsindicated that their confidence level to introduce culturally responsive instruction into theirclassroom/ institutions