identity. Given thelow rates of participation in co-curricular activities during the freshman year, efforts should beconcentrated on increasing participation in activities that may benefit students most, such asparticipating in engineering student organizations. The findings presented are part of a largerproject supported by the NSF under Grant No. 1504741.References[1] National Academy of Engineering, “Understanding the Educational and Career Pathways of Engineers,” The National Academies Press, Washington, DC, USA, 2018, doi:10.17226/25284.[2] S. L. Rodriguez, C. Lu, & M. Bartlett, “Engineering identity development: A review of the higher education literature,” International Journal of Education in Mathematics, Science
thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. T. Purcell and J. S. Gero, "Design and other types of fixation," Design Studies, vol. 17, no. 4, pp. 363-383, 1996.[2] J. A. Plucker, R. A. Beghetto, and G. T. Dow, "Why isn't creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research," Educational psychologist, vol. 39, no. 2, pp. 83-96, 2004.[3] C.-y. Chiu and L. Y. Kwan, "Culture and creativity: A process model," Management and Organization Review, vol. 6, no. 3, pp. 447-461, 2010.[4] A. F. Osborn, Applied imagination. New York, NY: Scribner, 1957, p. 379.[5] P. A
micro-narratives included above interpreted their stories onthis triad.In the SenseMaker analyst software, the original micro-narratives can be accessed by selectingeither a single or a group of dots. The text of the relevant micro-narratives is then shown besidethe triad. This functionality enables researchers and, most importantly, participants, to explorethe system of interest and identify patterns in the data.There are many patterns that can be identified across the multiple visualization outputs thatSenseMaker can generate (for more information we direct readers to [2 pp 7-8, 11]. Arguably themost powerful pattern, however, is the idea of identifying areas that indicate existing potential inthe system (see “adjacent possible[s]” in step 4
, “Students’ agency beliefs involve how students see andthink about STEM as a way to better themselves and the world along with being a critic ofthemselves and science in general [20, p. 939]. The critical thinking perspective is intimately tiedto engineering agency beliefs, where students become “evaluator[s] of STEM as well as becomecritics of themselves and the world around them through self-reflection” [39, p. 13]. In essence,agency beliefs in this framework are based on a spectrum of how students view engineering as away to change their world or the world at large.Most agentic frameworks in engineering education used qualitative research methods. However,Godwin and colleagues [40] and Verdín and Godwin [41] used quantitative measures to
policy,higher education, and local standards while integrating disciplinary and industry goals fordesigners and engineers into a epistemic frame encompassing skills (s), knowledge (k), identity(i), values (v), and epistemology (e) [8-10] derived from policy documents and literature. Thesources used in the development and relationship between sub-codes and sources can be seen inFigure 1. In the first version of the EEFK12, these five SKIVE elements had 47 sub-codes thatallowed for a micro-analysis of interactions throughout the engineering design process. A pilotstudy was conducted with rising juniors during a college preparatory summer program to test theevidence of EEFK12 elements in the ideation, prototyping, testing, and final
matrix, K1, possesses all the properties that make it an unconstrainedstructure. Stiffness matrices that are extracted from commercial packages may also be used andthis can be done in the future (please see summary section). The logic to identify these wouldremain the same. At the time of writing of this work-in-progress paper, a fundamental,one-dimensional spring element problem is used to provide a stiffness matrix.nSize =34;K1 = r e p m a t (K, n S i z e ) ;The second matrix (K2) is K1 with it’s non-zero elements replaced by -rand*rand. This is not astiffness matrix as it lacks the property of being symmetric and having non-zero, positive diagonalelements.K2 = K1 ;K2 ( any ( K2 ( : ) ) ) = −r a n d . ∗ r a n d ;The third matrix (K3) is a
most interesting emerging trend is students’ conception of what anengineer is and does. In response to the question “How would you define "engineer"?”, themost common words students (n = 641) used were “problem[s]” (n = 398, 62%) and “solv[e,er, ing]” (342, 53%). Strikingly, only 2 responses mentioned “research” and only 2mentioned “stud[y, ies]”. This result suggests that students do not consider research as part ofengineering work or identity.Furthermore, coursework, and particularly “real-world” or applied projects and problems,seems to be students’ primary experience with engineering work and identity. In the question“Please describe an experience that made you feel like an engineer,” students (n = 498)mentioned “course[s, work]”/”class[es
skills they need to tackle that next topic.One challenge was motivating even the strongest students to prepare for the more open-endedportions of the exams. With such clear goals for the proficiency analyses, many of the beststudents over prepared for these problems, at the expense of the higher-order skill set. Studentsmay need coaching on how to balance their preparation and how to develop the higher orderskills.Works Cited[1] B. S. Bloom, Human Characteristics and School Learning, New York: McGraw-Hill, 1976.[2] B. S. Bloom, "The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring," Educational Researcher, vol. 13, no. 6, pp. 4-16, 1984.[3] T. R. Guskey, "Lessons of Mastery Learning
, Purdue University at West Lafayette Robin S. Adams is a Professor in the School of Engineering Education at Purdue University, USA. She holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical En- gineering. Her research is in three interconnecting areas: cross-disciplinary thinking, acting, and being; design cognition and learning; and translating educational research to practice. c American Society for Engineering Education, 2020 A Situative Understanding of the NGSS Science and Engineering Practices (Fundamental)Introduction The Next Generation Science Standards (NGSS) for pre-college science education callsfor 3
] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorensen, "A Review of Literature on Teaching Engineering Design Through Project-Oriented Capstone Courses," Journal of Engineering Education, vol. 86, no. 1, pp. 17-28, Jan. 1997.[3] S. Howe and J. Goldberg, "Engineering Capstone Design Education: Current Practices, Emerging Trends, and Successful Strategies," in Design Education Today: Technical Contexts, Programs and Best Practices, D. Schaefer, G. Coates, and C. Eckert Eds. Cham: Springer International Publishing, 2019, ch. 6, pp. 115-148.[4] D. G. Brauer and K. J. Ferguson, "The integrated curriculum in medical education: AMEE Guide No. 96," Medical Teacher, vol. 37, no. 4, pp. 312-322, Apr. 2015.[5
presented with a palette of equations appropriate for the Deformable Bodies course.After selecting relevant equations from the palettes, students identify what terms are used in eachequation from highlighted dimensions, material properties, and other parameters given in theproblem statement or problem figure. The student is also able to generate their own equationsfrom relevant algebraic and trigonometric functions. Changes in units can be specified. Thestudent is then able to identify to the system the unknown(s) being solved for. By tracking thenumber of equations involved and the number of variables, the software presents the student withthe option to allow the program to solve for the answer(s) once the number of equations andunknown variables
. Brenner. Low Reynolds Number Hydrodynamics. Martinus Nijhoff Publishers, 1983.[2] L. Springer, M. Stanne, and S. Donovan. Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis. American Educational Research Association. Vol. 69. 1999.[3] S. Freemana, S. Eddy, M. McDonough, M. Smith, N. Okoroafor, H. Jordta, and M. Wenderotha. Active learning increases student performance in science, engineering, and mathematics. 2014.[4] S. A. Kalaian, R. M. Kasim. A Meta-analytic Review of Studies of the Effectiveness of Small- Group Learning Methods on Statistics Achievement. Journal of Statistics Education. Volume 22, Number 1. 2014.
te Scho ol Cour se 2References[1] A. R. Carberry and A. F. McKenna, "Exploring student conceptions of modeling and modeling uses in engineering design," Journal of Engineering Education, vol. 103, no. 1, pp. 77-91, 2014.[2] A. McKenna, R. Linsenmeier, and M. Glucksberg, "Characterizing computational adaptive expertise," in 2008 ASEE Annual Conference and Exposition, 2008.[3] J. S. Zawojewski, H. A. Diefes-Dux, and K. J. Bowman, Models and modeling in engineering education: Designing experiences for all students. Rotterdam, the Netherlands: Sense Publishers, 2008.[4] J. Gainsburg, "Learning to model in engineering," Mathematical Thinking and Learning, vol. 15, no. 4, pp. 259-290, 2013.[5
, samples for anengineering math scavenger hunt, andtips for creating scavenger hunts for avariety of STEM fields. Contact Informaiton:Grade Level Recommendations: ►s-coffman-wolph@onu.edu ►kimberlyn.gray@mail.wvu.eduMiddle or High School, College Freshman Google Drive with Materials:Need Materials: https://tinyurl.com/r6gw5rtMaterials: (1) colored printer ink or
Science Education, 267-272. doi:10.1145/2839509.2844586 [10] Hannah, J. (2008). A nonverbal language for imagining and learning: Dance education in K–12 curriculum. Educational Researcher, 491-506. [11] https://csunplugged.org/en/ [12] https://edu.Sphero.com/about [13] Litany Lineberry, Sarah Lee, Jessica Ivy, Heather Bostick (2018). Bulldog Bytes: Engaging Elementary Girls with Computer Science and Cybersecurity. ASEE Southeastern Section Conference, Daytona Beach, FL. [14] Rogers, S., S. Harris, I. Fidan, and D. McNeel, "Art2STEM: Building a STEM Workforce at the Middle School Level," ASEE Annual Conference, Vancouver, BC, Canada, 2011. [15] Hamner, E., & Cross, J, “Arts & Bots: Techniques
single coursemodule. The puzzle(s) within each room were specifically designed to align with the studentlearning outcomes of each module and to test a broad range of concepts within each imagingmodality. After reviewing the game rules and starting the countdown timer, the students chose aroom from a drop-down menu. An image of the “room” was then displayed within the MATLABGUI. As is customary in escape rooms, students had to identify both the question being askedand the answer to that question in order to determine the “secret code” (consisting of three lettersor numbers) required to escape the room. When the students solved the final room puzzle, theprogram immediately stopped and computed the time it took each team to escape. Two hints anda
Missouri Polytech Hopkins Georgia Caltech Purdue AFIT Tech S&T
of American Society of Engineering Education AnnualConference, Vancouver, BC, June 2011.[3] M. S. Reid, “The Assessment of Ethical and Sustainable Engineering Studies inUndergraduate University Education,” Proceedings of American Society of EngineeringEducation Annual Conference, Vancouver, BC, June 2011.[4] S. Spierre, E. A. Martin, J. Sadowski, A. Berardy, S. McClintock, S. Augustin, N. Hohman,and J. G. Banna, “An Experiential Pedagogy for Sustainability Ethics,” Proceedings of AmericanSociety of Engineering Education Annual Conference, San Antonio, Texas, June 2012.[5] N. A. Andrade and D. Tomblin, “Engineering and Sustainability: The Challenge ofIntegrating Social and Ethical Issues into a Technical Course,” Proceedings of American
impacts of first-year engineering courses.Though it is likely that there will be common trajectories of community and identitydevelopment from our interview population, unique trajectories are also emerging as we analyzethe data. Understanding these trajectories will allow administrators to make informed decisionsregarding the timing, content, and structure of their FYEP in order to meet their program’s needsand goals.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNos. 1664264 and 1664266. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflectReferences[1] X. Chen, C. E. Brawner, M. W. Ohland, and M
senior students, Engineers Noura Al Dhaheri,Reem Al Nuaimi, Asmaa Al Dhanhani, and Asma Al Hebsi, on the senior design project [4], underthe tutelage of the first author.References[1] J. Huang, F. Ding, T. Fukuda, and T. Matsuno, Modeling and Velocity Control for a NovelNarrow Vehicle Based on Mobile Wheeled Inverted Pendulum, IEEE Transactions on ControlSystems Technology, Vol. 21, No. 5, September 2013[2] Y. Xu, S. K-W. Au, Stabilization and Path Following of a Single Wheel Robot, IEEE/ASMETransactions on Mechatronics, Vol. 9, No. 2, June 2004 407[3] S. Kim and S. Kwon, Nonlinear Optimal Control Design for Underactuated Two-WheeledInverted Pendulum Mobile Platform, IEEE/ASME Transactions on Mechatronics, Vol. 22, No. 6,December 201[4] N. Al
has also worked extensively with high schools to advance student learning success. Malshe’s notable honors include: Membership in the National Academy of En- gineering (NAE) for ”For innovations in nanomanufacturing with impact in multiple industry sectors”; Society of Manufacturing (SME)’s David Dornfeld Blue Sky Manufacturing Idea Award for ”Factories- In-Space”; SME-S.M. Wu Research Implementation Award; three Edison Awards for Innovation; Tibbett Award by the US Small Business Association sponsored by EPA for successful technology transfer; R&D 100 Award, (the ”Oscar” of innovation); Fellowships to the International 1. Academy of Production Engineering (CIRP), 2. the American Society of Materials (ASM), 3
behaviours or conflicts listed and individually documents theirpersonal strategy for dealing with this situation, which can reflect an approach they have used inthe past, or a hypothetical approach. Eight common underlying causes of conflict are thenintroduced [23]: • Attitudes • Perceptions • Personal goals • Behaviours • Communication • Resources • Conflict styles • ValuesReferring to this list, students are asked to consider which cause(s) may have underpinned theconflict they described and to reflect on how their knowledge of the underlying cause(s) mightaffect or change their solution. Finally, students are introduced to the following concepts whichserve to establish a positive and supportive interaction [24
the ADVANCE program, although strides have been made at the undergraduatelevel, yet the number of M.S. and Ph.D.’s awarded to underrepresented groups has not increasedappreciably since the mid 1990s [3], [4]. For instance, between 1997 and 2017, the number ofHispanic undergraduates grew from 14% to 24% whereas Hispanic faculty only increased from3% to 5% during the same time frame [5]. Zellers et al. [6] reported in 2008 that less than 10%of the full professors in sciences were women and only 3% of assistant and associate professorswere African American.There were 12,156 doctoral degrees were awarded with Native Americans earning 0.3% of thePh.D.’s, Hawaiian/Pacific Islanders 0.6%, African Americans 4.2%, Hispanics 6% and women23.6% in 2018
student courseevaluations and was completed before the final course grade postings. Table 7 compares studentresponses on the midterm survey (S = Synchronous, N=41/41 and A = Asynchronous N=19/20).The only significant difference (p < 0.01) found using the Mann-Whitney U test was for thestatement “I felt more engaged during activities than lectures”. Table 8 compares studentresponses on the final survey (S = Synchronous, N=39/41 and A = Asynchronous N=20/20). Theonly significant difference (p < 0.05) found using the Mann-Whitney U test was for the statement“I prefer the use of activities and discussion rather than lecture only content”.The students were asked specifically, “With which activities or parts of the course have you feltmost
[19]. In addition, we will survey sophomore-levelstudents in spring 2020; all of these students will have taken the course. In summary, this work-in-progress paper presents a survey that measures a range ofoutcomes to assess the impact of a first-year engineering design course. By surveying thestudents at the beginning and end of the semester, positive changes in student self-efficacy andstudents’ perceptions of their skills are measured.References[1] A. Bandura, “Self-efficacy,” in Encyclopedia of human behavior, V. S. Ramachaudran, Ed. New York: Academic Press, 1994, Vol. 4, pp. 71-81.[2] A. Bandura, “Self-efficacy: toward a unifying theory of behavioural change,” Psychological Review, vol. 84, pp. 191-215, 1977.[3] A
see the value inthe process and prefer it to traditional, instructor-graded homework approaches and desire for theprocess to be expanded to more courses.References[1] “Chegg.com.” https://prod.cheggstudy.prod2.cheggnet.com/study (accessed Nov. 13, 2018).[2] L. Feldmann, “What, Why, How Of Homework,” presented at the 1998 ASEE Annual Conference, Jun. 1998, pp. 3.630.1-3.630.5, Accessed: Jan. 25, 2020. [Online]. Available: https://peer.asee.org/what-why-how-of-homework.[3] A. C. Estes, R. W. Welch, and S. J. Ressler, “The ExCEEd Teaching Model,” Journal of Professional Issues in Engineering Education and Practice, vol. 131, no. 4, pp. 218–222, Oct. 2005, doi: 10.1061/(ASCE)1052-3928(2005)131:4(218).[4] P. D. Gwen Lee-Thomas, A
financially remunerate faculty who partnered with us, andin fact several excellent researchers turned us down for this reason. (5) Courses housed withindepartments may be better able to prepare undergraduates for the rigors specific types of research(e.g. ecological field research), than an interdisciplinary course.With the resources given, the course instructor(s) worked hard to make this course fly. Strongefforts were expended in assembling a curriculum, accepting overloads etc. In the end, consideringlow enrollment and lack of support from departmental chairs, the interdisciplinary “Ramps intoResearch” course that the STEM center had tested for one year was canceled. We have committedourselves to finding more viable ways for promoting effective
plan(s) and elevations of their building as well as the framing plan. Appendix 5 shows an example of the building layout. The evaluation rubric for the layout is shown in Table 2. 72% of students scored at least 90%, 16% between 75% and 90%, and 6% between 60% and 75% as well as below 60%.3- Design Handbook- 60%: Each member must submit a design handbook that includes hand calculations and/or software results of their building. The evaluation rubrics for the design handbook is shown in Table 2. 26% scored at least 90%, 42% scored 75% to 90%, 26% between 60% and 75%, and 6% below 60%.4- Written proposal- 5%: problem description, constraints, alternative solutions, analysis and design of each solution including hand calculations or
keying. The data streams then are transmittedsimultaneously over the sub-carriers at a low symbol rate. The total data rate is maintained to besimilar to the conventional single-carrier modulation schemes in the same bandwidth 21. At thereceiver side, reverse operations of the transmitter are performed. The RF signal is first down-converted to baseband for processing. Then, the signal is low pass filtered, converted to digitalsignal using an analog-to-digital (A/D) converter, and down sampled. The serial stream ofsampled time signal is converted into parallel streams by the serial-to-parallel (S/P) converterand the cyclic prefix is discarded from the received composite signal. The Fast FourierTransform (FFT) is used to transform the time domain
education," in 4th ASEE/AaeE Global Colloquium on Engineering Education,2005.[2] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey and L. J. Leifer, "Engineering designthinking, teaching, and learning," Journal of Engineering Education, vol. 94, pp. 103-120, 2005.[3] K. A. Smith, S. D. Sheppard, D. W. Johnson and R. T. Johnson, "Pedagogies of engagement:Classroom-based practices," Journal of Engineering Education, vol. 94, pp. 87-101, 2005.[4] D. W. Johnson, R. T. Johnson and K. A. Smith, "Cooperative learning returns to college whatevidence is there that it works?," Change: the magazine of higher learning, vol. 30, pp. 26-35,1998.[5] K. S. Cockrell, J. A. H. Caplow and J. F. Donaldson, "A context for learning: Collaborativegroups in the problem-based