given survey was paper and pencil format. The end of course survey consisted oftwo parts: Likert scale items and three open-ended questions. The Likert scale items askedstudents “to what extent do you agree that each of the following topics improved your ability toeffectively interact with your partner(s) in the problem-solving studio?” Eleven topics oninterpersonal skills were given including i.e. constructive feedback, selective attention, effectivelistening. Each topic was given with a 6 point Likert scale ranging from 0 – I don’t recall thistopic, 1 – disagree strongly, to 6 – agree strongly. Student mean scores ranged from 0 – 6. Eachtopic was scored for overall mean therefore, if a student answered zero on the Likert scale thezero was
minutes. Most students correctly solvedthe seventh level on the first try, suggesting they had learned the objective. We took a look atsubmissions by students who made many attempts. One such student needed 4 tries to completelevel 1, 2 tries for level 2, 1 try for level 3, 4 tries for level 4, 1 try for level 5, 10 tries for level 6,and 1 try for level 7. The student spent about 5 minutes in total. Two weeks later, the samestudent worked through the activity again, perhaps preparing for an exam, and completed in justover 1 minute and making only 3 incorrect submissions across all levels. Note: The sectioncovering K-map has multiple challenge activities, and this is just 1 of them.6. Challenge activity: Enter output of an SR latch given input s
] Jackson, V. A., Palepu, A., Szalacha, L., Caswell, C., Carr, P. L., & Inui, T. (2003). “Having the right chemistry”: a qualitative study of mentoring in academic medicine. Academic Medicine, 78(3), 328-334.[8] Sorcinelli, M. D., & Yun, J. (2007). From mentor to mentoring networks: Mentoring in the new academy. Change: The Magazine of Higher Learning, 39(6), 58-61[9] van Emmerik, I. J. H. (2004). The more you can get the better: Mentoring constellations and intrinsic career success. Career Development International, 9(6/7), 578.[10] Schrodt, P., Cawyer, C. S., & Sanders, R. (2003). An examination of academic mentoring behaviors and new faculty members’ satisfaction with socialization and tenure and promotion
parameters for industrial engineering education in South Africa. South African Journal of Industrial Engineering, Vol 28, Iss 1, Pp 114-124 (2017). 2017;(1):114. doi:10.7166/28-1-1584.[6] Palma M, Ríos I de los, Guerrero D. Higher Education in Industrial Engineering in Peru: Towards a New Model Based on Skills. Procedia - Social and Behavioral Sciences. 2012;46:1570-1580. doi:10.1016/j.sbspro.2012.05.342.[7] Ferraras, A., Crumpton-Young, L., Rabelo, L., Williams, K., and Furterer, S., (2006) “Work in Progress: Developing a Curriculum that Teaches Engineering Leadership & Management Principles to High Performing Students,” Proceedings of the 2006 Frontiers in Education Conference, San Diego, CA.[8
, 2012.[2] National Academy of Engineering, “Educating the engineer of 2020: Adapting engineering education to the new century.” Washington, DC: The National Academies Press, 2005. Available: https://doi.org/10.17226/11338.[3] M. Besterfield-Sacre, M. Moreno, L. J. Shuman, and C. J., “Gender and ethnicity differences in freshmen engineering student attitudes: A cross-institutional study.” Journal of engineering Education, vol. 90, no. 4, pp. 477-489, 2001.[4] S. Kumar and J. K. Hsiao, “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, 2007.[5] D. C. Davis, S. W. Beyerlein, and I. T. Davis
faculty mentor working with the student(s) receives a stipendranging from $1,000-$1,500.The SURE Program strives to improve student skills integral to performing research. Studentsand their research mentors are expected to work together for eight hours per week for one-on-one instruction and research skill development. In addition to conducting research with facultymentors, mentees are required to attend four lunch meetings throughout the summer experience.These meetings focus on professional development, mentoring, and providing an opportunity forstudents to discuss research progress with peers. In the first meeting, staff from the campusMultimedia Services Office conduct a poster preparation workshop in which they teach thebasics of designing a
. Sestito, A. Harel, J. Nador, and J. Flach, "Investigating Neural Sensorimotor Mechanisms Underlying Flight Expertise in Pilots: Preliminary Data From an EEG Study," Frontiers in Human Neuroscience, Report 2018.[3] S. Puma, N. Matton, P.-V. Paubel, É. Raufaste, and R. El-Yagoubi, "Using theta and alpha band power to assess cognitive workload in multitasking environments," International Journal of Psychophysiology, Article vol. 123, pp. 111-120, 1/1/January 2018 2018.[4] G. Borghini, L. Astolfi, G. Vecchiato, D. Mattia, and F. Babiloni, "Review: Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness," Neuroscience and
early 2000’s aimed at guiding educators in the development of “Engineers for 2020.” Thereports addressed many global factors and encouraged universities to integrate curricula withexperiences that would lead to graduates who are prepared to enter a much moreinternationalized workforce by 2020. The need for these experiences has been widely embraced,and the vehicles for achieving that goal have taken many forms [1].No single program, or even one type of program, will achieve these goals alone. A multi-pronged approach, with many different aspects is necessary to reach students [2], [3]. TheUniversity of Dayton has a well-resourced and effective Center for International Programs.There are myriad opportunities to study abroad, take courses in
they have the interview with the professor.The interview with the professor involves a dialogue tree that allows the participant to choosehow they wish to respond in real-time in the conversation. This ability, coupled with theparticipant having Becky’s vantage and mirrored body movements, enables participants to feelmore immersed as the actual character. Although the evolution of conversation is dependentupon the selections of the participant, there are key statements made by the professor that areindependent of the participant’s response. These statements reflect what is constant in allinteractions. Specifically, all constants in the dialogue involve at least one of the followingconcepts—(P)rejudice, (R)acism, (I)mplicit bias, (S)exism, (M
workforce and empowering those interested in STEM, regardless of their background. Dr. Huderson was a 2015-2017 American Association for the Advancement of Science, Science and Technology Policy (AAAS S&T) Fellow in the Engineering Education and Centers’ division (EEC) at the National Science Foundation, where she provided leadership on developing, coordinating, and im- plementing support for programs that foster an inclusive climate for pre-collegiate and collegiate STEM students. Currently Dr. Huderson serves as the Manager of Engineering Education at the American Soci- ety of Mechanical Engineers (ASME), where she is responsible for advancing and managing the research, development, promotion, implementation
Med Plains 12 83 VH7 Public L RU/VH Prof+AS Med Plains 11 91 B-L1 Public L RU/VH Bal Large Southwest 17 82 B-L2 Public L RU/VH Bal Large Great Lakes 15 60 B-L3 Public L RU/VH Bal Large Great Lakes 11 64 VH-B Public L RU/VH Bal Med Mid East 13 38 H-B Public RU/H Bal Med New England 9 100 H-Pf-S Public
), andsupport that members of students’ community provide to aid them in their engineering coursework.Community networks encompass four subthemes: students’ family members, networks at work,neighborhood friends, and university friends. Each of the four subthemes prompted students toindicate to what extent the following statements were true using a 7-point anchored numeric scalefrom 0- “Not at all true” to 6- “Very True.” Sample items for each subtheme of communitynetworks include, “Friend(s) from my neighborhood have given me resources that helped me inmy engineering coursework,” “Friend(s) in my current school have given me resources that helpedme in my engineering coursework,” “Family member(s) have given me resources that helped mewith my
interviews. Through thisprocess, using our theoretical framework the codebook will be expanded, refined, compacted,and sub-categorized. After the refinement, the codebook will be reflected on paying particularattention to the differences between the first-year and senior level participants. These reflectionswill be used to determine how students’ beliefs affect their learning in order to generaterecommendations on improving engineering educational practices to increase retention andstudent learning.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.#1738209. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily
design and implementation ofcollaborative ill-structured tasks using a research-based framework that outlines the necessaryelements of such tasks: an introduction to the problem that provides context, a description of theproblem itself, the specific task(s) students are expected to achieve as a group, supplementarymaterial that provides information useful for solving the task, and scaffolding tools that studentscan use to develop plans, draw diagrams, and generate solutions [6]. This paper presents amethod to evaluate the design of ill-structured tasks in relation to the interaction processes thatstudents used in their groups. The paper showcases the use of our method by evaluating thedesign of one ill-structured task, and provides suggestions
∠𝜃 phasor(Zm, th) Admittance Y polar 𝑌 = 𝑌 ∠𝜃 phasor(Ym, th) Power S polar 𝑆 = 𝑆 ∠𝜃 phasor(Sm, th)All above vectors are modeled as Objects under a phasor class. These objects interact like ordinarymathematical variables. Phasor objects can be added, multiplied and divided using same operators“+, -, *, / and left divide \ matrix solution” as are used in traditional mathematical operations involv-ing constants and variables.2.1 Algebraic Operations and VisualizationFollowing example shows three phasors V1, V2 and V3 are added, and visualized and addedgraphically in the complex plane, The two phasors V1 and V2 are specified by
external evaluator or advisory board member on several NSF-funded projects (CA- REER, iCorps, REU, RIEF, etc.).Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying plasma turbulence and plasma jets. His research has also included fluid physics and electric propulsion using
engineering students, the possible implementation of acontinuous scheme—although complicated--should not be discounted.References[1] C. Wagner, “High GPA leads to interview; Good interview leads to job,” Marketing - Miami University, 22-Jul-2015. [Online]. Available: http://miamioh.edu/news/top- stories/2015/07/gpa-interview-job.html. [Accessed: 25-Mar-2018].[2] S. Adams, “Do Employers Care About College Grades?,” Forbes, 08-Jul-2015. [Online]. Available: https://www.forbes.com/sites/susanadams/2015/07/08/do-employers-care-about- college-grades/. [Accessed: 25-Mar-2018].[3] L. D. Edgar, D. M. Johnson, D. L. Graham, and B. L. Dixon, “Student and Faculty Perceptions of the Plus/Minus Grading System,” PsycTESTS Dataset, 2014.[4] H. Altaf
. Students were going to 6th grade (40.2%), 7th grade (31.5%), 8th grade (28.3%) duringthe summer. Additionally, the researchers randomly selected one or two students from eachgroup/table in camp 1 to 4. A total of 22 students presented their groups/tables to conduct in-depth interviews with us on the last day of each camp. Of the 22 interviewees, six were fromcamp 1, seven were from camp 2, five were from camp 3, and four were from camp 4. Allstudents and their guardians were required to sign consent letters.Instruments The instrument used in this study was the Middle/High School Student Attitudes towardSTEM (S-STEM) survey. This instrument was a useful tool in the evaluations of the university’soutreach projects and K-12 STEM initiative [46
findings, Barba-S´anchez et al. [33] identified Financial Motivation as one of the leadingmotivational factors for industrial and computer engineering students. They further elaborate thatmoney is seen as a synonym for well-being, and reflects safety and a good standard of living forthe society. Having the power to act seems to be a strong factor for engineering graduates. Thegraduates value the power to make their own decisions but also to take responsibility. Previousresearch from Barba-S´anchez (2012)[12] identified ”do things my way” as one of the factors, rep-resenting the possession and execution of power. The participants talked about the reputation ofstarting a company and could appreciate additional visibility. A similar factor has been
resource-rich contexts.AcknowledgementsThis study is based upon work supported by the National Science Foundation (NSF) under GrantNo. 1525671. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NSF. This workwas conducted with oversight provided by the PUWL Institutional Review Board.References:[1] Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95–105.[2] Gurmak, S., & Glenn, H. (2014). Barriers and enablers to adoption and diffusion of eLearning : A systematic review of the literature – a need for an integrative approach
Systems Engineering Failures Finding(s) Causal Action Discussion/Explanation The mine operator Pike River Mine explosion: “The original mine plan specified decided to change an two main fans located on the mountainside next to a ventilation aspect of the ventilation shaft. Two planning changes were made. Pike decided to relocate system design
interpret the combined graphs effectively. To address this issue,the handwritten key milestones were typed and arranged for legibility using Adobe Photoshoptools (Figure 6). In addition, to make each individual’s emotional state curve and key milestonesmore readily distinguishable from each other, and to enable us to explore the relationship betweencognitive style and emotional state, each individual curve was colorized based on the individual’scorresponding KAI score, as shown in Figure 6. The 10-point ranges were chosen based on the 10-point just-noticeable-difference for individual KAI scores3,23. Figure 6: Team 3’s combined graph with typed milestones and colorized curves (by KAI)3.4.2 Emotional State Graph Milestones and SegmentationAfter
. 2nd 1st Peer Peer Num SRM SRM Rating Rating ber of Model Model PRO PRO team Rater Target Psychologica BLEM BLEM Mem Varianc Varianc l Safety =< Satisfac Conflict > Cohesiven TEAM TEAMS bers e >70% e 4.7 tion < 4.0 1.6 ess < 4.0 S 1 5 10 30 5 4.4 1.4 4.18 2 3 No SRM No SRM 5.62
Work? A Review of the Research,” Journal ofEngineering Education, July 2004.[4] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P.Wenderoth, “Active learning increases student performance in science, engineering, andmathematics,” Proceedings of the National Academy of Sciences of the United States of America,vol. 111, no. 23, June 10, 2014.[5] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies ofEngagement: Classroom-Based Practices,” Journal of Engineering Education, January 2005.[6] M. D. Svinicki and W. J. McKeachie, McKeachie’s Teaching Tips, 14th Ed. Belmont, CA,Wadsworth, Cengage Learning, 2014.[7] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman
Underserved Students in the CSU Moving Beyond Race and Economic Status to Close Equity Gaps. Rethinking the Gap. [online] Long Beach, CA: CSU, pp.1-12. Available at: http://www.dashboard.csuprojects.org/rethinkingthegap/Historically-Underserved-Student- Factor-Model.pdf [Accessed 30 Jan. 2019].[4] French, B. F., Immekus, J. C., & Oakes, W. (2003, November). A structural model of engineering students’ success and persistence. In Frontiers in Education, 2003. FIE 2003 33rd Annual (Vol. 1, pp. T2A-19). IEEE.[5] Lichtenstein, G., McCormick, A. C., Sheppard, S. D., & Puma, J. (2010). Comparing the undergraduate experience of engineers to all other majors: Significant differences are programmatic. Journal of Engineering
prototypes created by the users.One view of technological development assumes that new ideas present themselves with apredictable, self-determining trajectory—the ideology of technological determinism. However,the new trends of empathy and human-centeredness of design convince us that human choice,not technology, moves history. Lo-fi prototypes, therefore, should be built with an explicitemphasis on having an element of understanding the impact on human users, both directly andindirectly.Consider the impact of automation trends in the 1970’s on the labor market [37]. Theintroduction of numerically-controlled machines, for example, has had social impacts onworkshops floor workers, who viewed the new technology as a threat to their jobs
, Be familiar with relevant background and technical knowledge that lead to successful design.The starting point of any design project, irrespective of the object or nature of the project, is theproblem definition phase characterized by: asking relevant questions and attempting to findplausible/realistic answers. No sooner has a client or professor defined a series of objectives for adesign project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions
institutionalizing the entrepreneurial mindset (EM),improving and expanding evidence-based pedagogical strategies in capstone courses, andcreating a faculty Community of Practice. To effectively institutionalize the entrepreneurialmindset and expand evidence-based pedagogical practices in capstone courses, professionaldevelopment was provided in conjunction with coaching sessions. This format aimed to provideaccountability for faculty participants, offer opportunities to strategize how the innovation(s)would be implemented in a contextualized setting, and shift the attitudes and practices of thecapstone faculty.Rogers’ Diffusion of Innovation (DOI) outlines an individual change model that describes thefive stages individuals follow towards adoption of an
ecosystem.Reference[1] Acs, Z. J., Autio, E., & Szerb, L. (2014). National systems of entrepreneurship: Measurement issues and policy implications. Research Policy, 43(3), 476-494.[2] Zimmer, C. (1986). Entrepreneurship through social networks. The art and science of entrepreneurship. Ballinger, Cambridge, MA, 3-23.[3] Arruda, C., Nogueira, V. S., Cozzi, A., & Costa, V. (2015). The Brazilian entrepreneurial ecosystem of startups: an analysis of entrepreneurship determinants in Brazil and the perceptions around the Brazilian regulatory framework. In Entrepreneurship in BRICS (pp. 9-26). Springer, Cham.[4] Clark, B. K., & Bruno-Jofre, R. D. (2000). Creating entrepreneurial universities: organisational pathways of transformation