security challenge. This group deeply elaborated on privacy concernsalready in their first report and used the privacy aspect as a starting point for ideatingsolutions for their challenge: “It is important to find a solution for our challenge as IoT devices are getting more common everyday and it is very likely that soon everyone is an IoT user. Because of this privacy will be an issue, since IoT is important as it guarantees equality and freedom. If IoT devices are not secured, soon everyone will have spying devices at home and the data these devices collect can be used against their users.” (group E, first report)A further four groups (L, N, R, S) increasingly raised privacy concerns. Their reports
science practices? 3. To what extent do you think it is possible to enact engineering practices in the grade(s) you teach? 4. What are some of the difficulties you envision with enacting engineering practices in your classroom? 5. How are some of the instructional practices you currently use similar to and/or different from those you might need to enact engineering design in your classroom? Engineering design process documents. Teacher teams produced a variety of documentsas they completed each design challenge; these included tradeoff matrices, sketches ofprototypes during brainstorming sessions, benchmarking research, convergent design generation(i.e., final design drawings), and design critique
these identity frameworks in the broaderliterature. To be fair, in the broader literature there have only been a few claims that identity isexplicitly distinct from other constructs such as self-efficacy2 or the expectancy-value theory ofachievement motivation.3 However, in the last five years some have made this distinction. Forexample, Lent, R. W., Brown, S. D., & Hackett, G.4 expand on Bandura’s theory of self-efficacyto the extent of illuminating the importance of self-efficacy in academic persistence. While thisis not explicitly identity, self-efficacy is a theoretically relevant construct that had to be takeninto consideration in this review as it is often associated with identity measures.Table 1 Categorization of Identity Studies by
part.Overall, the faculty survey results and student performance outcomes demonstrate theeffectiveness of JTF web-enabled, engagement and feedback pedagogy. Shifting faculty beliefsand classroom practice from instructor-centered teaching toward student-centered learningresulted in positive outcomes of student attitude, achievement and persistence.AcknowledgementThe authors acknowledge the support of this work from NSF Grant #1226325.Bibliography1. Adelman, H. S. and Taylor, L. (1997). Toward a scale-up model for replication new approaches to schooling. Journal of Educational and Psychological Consultation, 8, 197-230.2. Borrego, M., Froyd, J. E., and Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness
Possible Consideration Level Level Time Level In-class Pre- Well suited to 2-3 2-3 class Low. System Indirect Centers on teacher approach professional young planning periods aware of S-L, Advocacy control as it introduces Beginning students or periods but not using S-L elements in the students with the method classroom with relatively high
. computer lab work and group exercises [25].Table 3. Description of categories within the Assessment Methods theme. Description Example Student reflections Students are asked to report A five-point scale was used to on their perceptions of the ask students about the course innovation(s), impacts of an engineering typically using Likert scales professor visiting precalculus and/or open response courses [17]. questions. Pre
). Grade Increase: Tracking Distance Education in the United States. Babson Survey Research Group.2. Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141-147.3. Frydenberg, J. (2007). Persistence in university continuing education online classes. The international review of research in open and distributed Learning, 8(3).4. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix.5. Carr, S. (2000). As distance education comes of age, the challenge is keeping the students. Chronicle of higher education, 46(23).6. Brady, L. (2001). Fault
Conner, Qinang Hu, Brian Norton, and Tony Ivey, ”Oklahoma State University’s ENDEAVOR: Transformation of Undergraduate Engineering Educa- tion through the Experience-based learning.” 2020 ASEE Annual Conference & Exposition. June 21-24, 2020. Montreal, Quebec, Canada. Abstract submitted on Oct 14, 2019. Abstract accepted on October 28, 2019. Draft paper submitted on Jan 31, 2020. • Lead Author: B. Smyser, Reviewer and contributor: J. Conner, ”Measurements and Analysis for Mechanical Engineers”, 2nd Edition TopHat Publishing [ISBN: 978-1-77330- 957-6] 2019 • Lee, S., Conner, J. Arena, A. ”Aspects of Autonomous Recovery System for High Altitude Payloads by Using a Parafoil” AIAA Aviation and Aeronautics Forum and
-directed learning capabilities shows apromising line of research for meeting the needs of individual learners (and fulfilling one of theABET standards). Perhaps one area for improvement may be to consider more ways to providestudents with feedback about their scores on the two self-directed learning scales utilized at PennState University. My review of Litzinger et al.’s paper suggested the data is used for programevaluation and researchers have yet to explore the benefits of using the data to designintervention strategies for individual students. In addition to the work at Penn State University,the Freshman Year Experience course for engineering students at the University of Connecticutprovides a nice model for how to design an orientation course
-based instructional approaches and implement these approaches intheir classrooms and it will identify best practices for implementing effective VCP models. Asecondary affect of this effort is providing a large number of faculty members with an effectivevirtual learning experience, which should enable and encourage them to explore distanceeducation in a more meaningful way. Page 23.594.13AcknowledgementsThis work was supported by NSF grant DUE-1224217.References1. Anderson, W., U. Banerjee, C. Drennan, S. Elgin, I. Epstein, J. Handelsman, F. Hatfull, R. Losick, D. O’Dowd, B. Olivera, S. Strobel, C. Walker and I. Warner (2011). Changing the
thhatthey pressumably had d a preexistinng inclinationn toward STTEM careers,, based on thhe fact that thheychose thiis course outt of all those offered by MGS M and byy their responnses to the pre-course pinterest surveys. s Tw wo example slides s from thhe second prresentation are a shown inn Figure 2. Figure 2. Example E sliddes from instrructor presenntation “Whhat is an Enggineer?”.The thirdd presentatio on was
Thesecond study, conducted by Korte et al. in 2008, looked at 17 new engineers at a large,international car manufacturer which they termed Big Car Company. Like Polach, they showedthat new engineers in this organization relied heavily on coworkers for help and that anunderstanding of the larger organization was crucial to the understanding of their own day-to-daywork.6 Viewing these findings in terms of supports and barriers, high-quality relationships withcoworkers and an understanding of “the big picture”6 could be considered supports for newengineers while the lack of either could be considered barriers. This paper applies the samesupport/barrier framework to Korte et al.’s original data set, consisting of interviews with 59 newengineers at four
Paper ID #9828High School Students’ Attitudes to Engineering and Engineers related totheir Career ChoiceMrs. Adriana Anunciatto Depieri, University of Sao Paulo For almost 10 years I have worked as an assintant professor and since 2003, I have worked for the Brazilian Ministry of Science, Technology and innovation in the Popularization of Science and Technology issues. Besides policy formulation and implementation of programs to popularize S & T, we give support to improve science teaching in schools, in partnership with the Ministry of Education. Authorized by deads, I have dedicated most of time as a PhD candidate
Communicating Technical Ideas was to provide participants withspecific strategies and tools to help them as researchers and engineers become more confident andeffective communicators. This workshop was held at the ASME IDETC in Chicago, IL on August12, 2012.The workshop, led by Dan Agan, consisted of presentation and active participation. There was atotal of one hour of working session(s) built into the agenda. All workshop participants receiveda free download of the companion guide on creating PowerPoint presentations, and the Pantheraproprietary communications tools: the Communications Planning Worksheet, the MessageTriangle, and the Storyboard Worksheet (for planning PowerPoint visuals). A networking eventconcluded the workshop.Workshop Execution
. 10 The curriculum incubator was developed as a protected space and time for faculty toexplore and adapt approaches to teaching and learning. Because the concept of curriculumincubation is new there is little research or theory to guide development of the incubator oranticipate its effectiveness. Since educational improvement is an institutional commitment withoutcomes demonstrated over a long period of time, it is important to determine whether theconcept of curriculum incubation has merit, the potential to produce innovative instructionaldesigns and long-term educational improvement.Incubation Theory The idea of incubation as a protected environment for nurturing change began in the1950’s with the invention of business
observations we have already made. The fundamentalnotation of Bayesian statistics can be stated as that of conditional probability, P ( H \ E ) ,which is the probability of hypothesis H given that we have observed evidence E 11. It isnecessary to take into account the prior probability of H and the extent to which E providesevidence of H. To do this, we must define a universe that contains an exhaustive, mutuallyexclusive set of H i ’s among which we are trying to discriminate. Then let P ( H i \ E ) = The probability that hypothesis H i is true given evidence E P( E \ Hi ) = The probability that we will observe evidence E given that hypothesis i is true P( Hi ) = A priori probability that hypothesis i is true in the absence of any specific evidencek
effects of a biomimicry teaching approach on students’designs. The authors found that students’ designs were not only inspired by nature, but they alsoconsidered the functions behind the physical structure of the organism in their designs. Abaid et al. [21]discovered that students had more favorable perceptions of engineering after engaging in a BID activity.In Abaid et al.’s [21] study, participating students were tasked with creating the most efficientswimming robots based on various types of fish fins and testing different robot designs. As documentedin the literature, BID integration in pre-college education can inspire innovative design solutions,heighten students’ views about nature, and foster STEM engagement and understanding of
norms would be mostappropriate. However, because no engineering students were included in the sample that producedthe means provided in the MSLQ, we felt it was important to obtain a reference point from which tounderstand where the engineering students in this study started. We compared our engineeringstudents in individual classes to the means in the MSLQ manual. The results of this analysis areshown in Table 2 and inform some of the discussion later in the paper.Table 2 shows significant differences between the MSLQ reference data and course-specificengineering student groups in this study. Instructor 1’s students reported significantly higher meanscores in the learning strategy of time and study environment; and lower mean scores in the
, preserving nature [13] Unity with nature, fitting into nature [16] Respecting the earth, harmony with other species [14] Altruistic values Equality, equal opportunity for all [12] Social justice, correcting injustices, care for those who are less privileged [17] A world at peace, free of war and conflict [15]Methods of Instrument AdministrationThe instrument was administered in three parts at a private research university in the northeasternUnited States (E-group), a public research university in the southern United States (S-group) anda public masters university in the pacific coastal United States (P-group). Students wererequested to take the survey by the faculty in their courses. The
in democracies’ primary social serviceof keeping its citizens alive. Page 15.477.16 Bibliography1 Foster, Richard S., and Francis P. Hoeber, "Limited mobilization: a strategy for preparednessand deterrence in the Eighties," Orbis 24 (1980: 451.2 Fierro, Eduardo. "Preliminary reconnaissance presentation about Haiti earthquake," at PacificEarthquake Engineering Research Center, University of California at Berkeley, 27 January 2010,available at http://peer.berkeley.edu/publications/haiti_2010/related_events_haiti.html, accessed8 March 2010.3 Bajak, Frank (Associated Press). "Chile was ready for quake, Haiti wasn't
: 10.1002/(SICI)1098- 237X(199901)83:1.[2] R. Lloyd, “A Historical Review of Visualization in Human Cognition,” vol. 43, no. 1, pp. 45–56, 1995.[3] G. Duffy, S. Sorby, and B. Bowe, “An investigation of the role of spatial ability in representing and solving word problems among engineering students,” J. Eng. Educ., vol. 109, no. 3, pp. 424–442, Jul. 2020, doi: 10.1002/JEE.20349.[4] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cogn. Sci., vol. 31, no. 4, pp. 549–579, Jul. 2007, doi: 10.1080/15326900701399897.[5] D. Bairaktarova, M. Reyes, N. Nassr, and D. T. Carlton, “Spatial skills development of engineering students: Identifying instructional tools to
e.CRN, 2 (SELECT SUM(Score * Credits)/SUM(Credits) 3 FROM Enrollments e2 4 WHERE e.CRN = e2.CRN) AS CourseAvgScore, 5 s.NetId, 6 e.Score 7 FROM Students s 8 JOIN Enrollments e ON s.ID = e.CourseID -- Error: Incorrect JOIN condition, should be based on a valid relational key 9 WHERE (SELECT SUM(Score * Credits)/SUM(Credits)10 FROM Enrollments e211 WHERE e.CRN = e2.CRN) >= 8012 AND e.Score > 8513 ORDER BY e.CRN DESC, e.Score DESC; Instructor Query: 1 SELECT e.CRN, 2 (SELECT SUM(Score * Credits)/SUM(Credits) 3 FROM Enrollments e2 4 WHERE e.CRN = e2.CRN) AS CourseAvgScore, 5 s.NetId, 6 e.Score 7 FROM
surveys Figure 1. Types of data collectionDescription of Grant ActivitiesFunding from this grant was primarily used to support twenty-six (26) junior- and senior-levelstudents. Students were recruited in three cohorts consisting of eight, eight, and ten students from2017-2019.S-STEM Scholars ProgramTwenty-six (26) rising junior-level students were selected to participate in the S-STEM ScholarProgram (SSP). Demographic data is given in Table 2. The application process consisted of anapplication form, personal essay, and letter of support from a faculty member. Applicants also hadto satisfy residency requirements in accordance with NSF guidelines and demonstrate financialneed as determined by the office of financial
increases in hard disk drives and was elected a National Academy of Inventors Fellow in 2018. Dr. Hipwell is currently the Oscar S. Wyatt, Jr. ’45 Chair II at Texas A&M University, where she has developed new classes on innovation and technology development as part of her leadership of the INVENT (INnoVation tools and Entrepreneurial New Technology) Lab. She is Co-PI on a National Science Foundation engineering education grant to develop a culture of and tools for iterative experimentation and continuous improvement in curriculum development.Dr. Mindy Bergman, Texas A&M University Dr. Bergman is a Professor in the Department of Psychology and Executive Director of Interdisciplinary Critical Studies at Texas A
knowledge and effectivepresentation as the student defines the General (G) domain, describes in detail the Particular (P) categories identified and then demonstrates the Specific (S) depth of knowledge withinone of does categories. The student will then conclude the presentation by connecting thespecific area back to the general domain. Feedback provided on content was matched with delivery feedback in the same languageof the levels of the GPS model using the terminology from E-GOALS. As students work to develop an effective storyline and presentation content, they adoptthe labels for the increasing degree of specificity to allow different domains to discuss contentissues and organization in the common space. Reading the GPS
-ROARObjective 2 (discussed earlier). Little did we all know that within less than a month, all K-12schools and universities would switch to virtual classes due to the COVID19 pandemic.EDC 2020’s COVID19 Shutdown and RebirthGeorgia Southern University switched to virtual learning during spring break (mid-March) of2020 following the same earlier switch by area K-12 schools. It was a sad but easy decision topostpone EDC 2020 given all the uncertainty of what would happen next. By August 2020,Georgia Southern University classes returned to a hybrid model, while K-12 schools remainedmostly virtual. The original seven EDC teams were surveyed regarding their interest andcapability to participate in a virtual version of the EDC 2020 competition. Two of the
study using coursework-based master of finance programs at Australian universities,” Stud. High. Educ. Dorchester--Thames, vol. 43, no. 7, pp. 1135–1147, 2018, doi: 10.1080/03075079.2016.1225710.[3] H. L. Erickson, Transitioning to concept-based curriculum and instruction: how to bring content and process together. Thousand Oaks, Calif: Corwin, 2014.[4] S. Marginson, The enterprise university: power, governance, and reinvention in Australia. Cambridge, UK ; Cambridge University Press, 2000.[5] S. Holdsworth and K. Hegarty, “From praxis to delivery: a Higher Education Learning Design Framework (HELD),” J. Clean. Prod., vol. 122, pp. 176–185, 2016, doi: 10.1016/j.jclepro.2016.01.074.[6] B. Mawson, “Breaking the
,” The Journal of Engineering Entrepreneurship, vol. 6, no. 2, pp. 44–57, 2015.[2] T. Byers, T. Seelig, S. Sheppard, and P. Weilerstein, “Entrepreneurship: Its role in engineering education”, The Bridge, vol. 43 no. 2, pp. 35-40, 2013.[3] F. Ghazi Nezami, M. S. Tavakoli, and M. Torfeh, (2016).”Developing entrepreneurial mind-set in industrial engineering classes: A case study”, Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016.[4] J. T. Klein, and W. H. Newell, “Advancing interdisciplinary studies,” in Handbook of the undergraduate curriculum: A comprehensive guide to purposes, structures, practices, and change, J. G. Gaff, J. L. Ratcliff, Ed. San Francisco