, 2021, from https://www.grainger.com/product/IIG-1-2-in-x-12-in-x-12-in-Calcium-19NE43[4] Chen, M., Zheng, Y., Zhou, X., Li, L., Wang, S., Zhao, P., Lu, L., & Cheng, X. (2019). Recycling of paper sludge powder for achieving sustainable and energy-saving building materials. Construction and Building Materials, 229, 1–12. https://doi.org/10.1016/j.conbuildmat.2019.116874[5] Chen, W., Li, Y., Chen, S., & Zheng, C. (2020). Properties and economics evaluation of utilization of oil shale waste as an alternative environmentally-friendly building materials in pavement engineering. Construction and Building Materials, 259, 1–12. https://doi.org/10.1016/j.conbuildmat.2020.119698[6] Cox, R., & Goodman
, 2018.11 S. Usón, B. Peña, I. Zabalza, E. Llera, L. Romeo, “Combining Flipped Classroom Model and Edu- cational Videos for Improving Teaching-Learning Process in Thermodynamics and Thermal Engi- neering,” Proceedings, vol 2, no 21, 1329, 2018, https://doi.org/10.3390/proceedings221132912 T. Hattingh, W. van Niekerk, H. Marais and Y. Geldenhuys, “Engineering student experiences of a remotely accessed, online learning environment,” 2020 IFEES World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), pp 1-6, 2020, doi: 10.1109/WEEF- GEDC49885.2020.9293652.13 S. Habib and T. Parthornratt, “Anticipated and Actual Challenges Pertaining to Online Delivery of University Courses During COVID-19 Pandemic
developed and added to the sleep model including alcoholand caffeine functions to predict concentrations in the blood as a function ofconsumption, bodyweight, and time to metabolize the chemicals (alcohol and/orcaffeine). The REM fraction equation in GREG was redeveloped to adjust REM fractionas a function of REM latency, which varies as a function of amount and type ofchemical(s) in the body at bedtime. A function to predict the average time needed to fallasleep was also added as a third dependent variable. While there are several internaldependent variables that are then used to predict something else, the general sleep modelhas four dependent variables: active or stimulated efficiency, passive or un-stimulatedefficiency, time to fall asleep, and
E S G P P N S N Il/ NM M R T Total Cate- Topic t. E MA E C In W W S M N S
Information,” 2020, in press. [2] S. Akter, R. A. Sima, M. S. Ullah, and S. A. Hossain, “Smart Security Surveillance using IoT,” 2018, pp. 659–663, doi: 10.1109/ICRITO.2018.8748703, in press. [3] Y. Bai, C. Cheng and Z. Xie, "Use of ultrasonic signal coding and PIR sensors to enhance the sensing reliability of an
haveresulted in different design artifacts.4.2 Design Solutions + IterationsIn RtD, an artifact is designed and the rationale behind design decisions is used to create newknowledge. In HCI RtD studies, the artifact of design is often an object - a music player, awearable, or a piece of furniture - that prompts a new form of interaction. For us, we focused onthe design of learning environments - in particular the design and iteration of two specificundergraduate courses. At the beginning of our research inquiry, we focused on the course as adesign artifact. In our reflection meetings smaller designed artifacts emerged as a focus due tothe size and complexity of looking at the entire course as a designed object. For example, onefocus of Author 1's
majority of lab experience in LU’s IE curriculum occursduring the first two years in chemistry and physics that is not part of the 2+2 online program.After the 2nd year, a single weekend lab is used for our material process lab where studentsmake a hammer in our machine shop. The Work Design lab is mostly observational studies thatcan be conducted offsite. Computer aid manufacturing and automation labs are software based.Another challenge is students having consecutive multi-semester internship, co-ops and full-timeemployment where they take classes part time that extends the average time to graduation andcomplicates reporting program effectiveness including NSF S-STEM grant effectiveness. Highperforming students tend to take longer than 4 years
3 Jung Typology Extrovert (E) 2 9 5 Introvert (I) 7 8 4 Sensing (S) 1 7 4 Intuition (N) 8 10 5 Thinking (T) 4 12 8 Feeling (F) 5 5 1 Judging (J) 7 15 5 Perceiving (P) 2
and students of different disciplines and nationalities," in Proceedings of the 2018 ASEE Zone IV Conference, Boulder CO, 2018.[10] N. Kathryn, "The Engineering in the Museum: Helping Engineering Students Experience Technology as Art," in Proceedings of the ASEE 1996 Annual Conference and Exposition, Washington DC, 1996.[11] A. Rose and V. Grash, "Interaction of Engineering Technology and Fine Arts Through Instructor Collaboration," in Proceedings of the ASEE 2005 Annual Conference and Exposition, Portland OR, 2005.[12] L. Yu and F. Abarca, "ElectrizArte, combining engineering and arts," in Proceedings of the 2012 Interdisciplinary Engineering Design Education Conference, 2012.[13] S. Burkett and C. Snead, "Picasso's
instruction, and face-to-face instruction," Computers & education, vol. 55, no. 2, pp. 733-741, 2010.[2] L. Kinney, M. Liu and M. A. Thornton, "Faculty and student perceptions of online learning in engineering education," in 119th ASEE Annual Conference and Exposition, 2012.[3] P. Panindre and R. S. Thorsen, "Assessment of Learning Effectiveness in Online and Face- to-Face Learning Environment for Engineering Education," in ASEE Annual Conference Proceedings, 2020.[4] S. Papanikolaou, "E-Learning and Assessment in the Cloud: Engineering Courses," in ASEE Annual Conference Proceedings, 2020.[5] R. Zaurin, S. D. Tirtha and N. Eluru, "A Comparison between Mixed-Mode and Face-to- Face Instructional Delivery Approaches for
world we live in.Joseph Carl PriceCol. Aaron T. Hill Jr., United States Military Academy Colonel Aaron Hill is an Assistant Professor and Design Group Director in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. He holds a Bachelor of Science degree from West Point, a Master of Science degree in Engineering Management from Missouri S&T, a Master of Science degree in Civil Engineering from Virginia Tech, and a PhD in Civil Engineering from The University of Texas at Austin. Aaron has served in the military for 23 years as an Engineer Officer with assignments around the world to include Afghanistan, Egypt, and Bosnia- Herzegovina. He is a licensed
engineering population of the United States. While the institutionsused in this study share common matriculation practices, all institutions of the same type are notnecessarily identical to each other. For example, some institutions offer majors not availableelsewhere and some may have enrollment criteria for specific engineering majors that exceed therequirements for engineering at large.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1545667. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] A. Theiss, J. E. Robertson, R. L. Kajfez, K. M. Kecskemety, and
package [12]. JuMP and the Julia language allowed for very straightforward dataprocessing, and problem setup. Once the appropriate 𝑐𝑐, 𝑠𝑠, 𝑠𝑠, 𝑟𝑟, and 𝑟𝑟 constants are created basedon the survey data, the problem above can be expressed using the following JuMP code:opt = Model()@variable(opt, x[1:n_groups, 1:n_projects], Bin)@objective(opt, Min, sum(c.*x))for i in 1:n_groups @constraint(opt, sum(x[i, :]) == 1) # constraint (3)endfor j in 1:n_projects @constraint(opt, s̲ <= s'*x[:,j] <= 𝑠𝑠̅) # constraint (4) @constraint(opt, r*x[:,j] .>= ̲r[:, j]) # constraint (5)endThe Gurobi solver was able to find optimal
completing the course, student will be able todemonstrate their factual and conceptual knowledge about the data visualization process: 1. The basic stages for visualizing data. 2. What happens in each stage of the visualization process. 3. What stages are likely to initiate the iterative nature of the process. 4. Different techniques used to better understand data.After completing the course, students will be able to demonstrate the following proceduralknowledge: 1. Demonstrate actions to acquire data. 2. Demonstrate the ability to change raw data into a useful format for further processing. 3. Implement procedure(s) to extract data of interest from a larger dataset. 4. Choose the appropriate visualization chart for
development. He currently is working with Dr. Kirti M. Yenkie to explore different teaching methodologies to strengthen the understanding of theoretical concepts for undergraduate students.Miss Swapana Subbarao Jerpoth, Rowan University Swapana S. Jerpoth received her B.Tech degree in Chemical Engineering from Priyadarshini Institute of Engineering and Technology, India in 2017, and her M.Tech degree in Petrochemical Engineering from Laxminarayan Institute of Technology, India in 2019. She joined as a Ph.D. student in the Chemical Engineering Department, Rowan University in 2019 and is currently working under the supervision of Dr. Kirti M. Yenkie. Swapana’s current research interests include sustainable process design and
from other backgrounds.Citations[1] A. Prescott and M. Hellst en, “Hanging together even with non-native speakers: The international studenttransition experience,” in Internationalizing higher education. Springer, 2005, pp. 75–95.[2] J. Wang, “A study of resiliency characteristics in the adjustment of international graduate students at americanuniversities,” Journal of Studies in International Education, vol. 13, no. 1, pp. 22–45, 2009.[3] S. L. McKay, Teaching English as an international language: Rethinking goals and perspectives. New York:Oxford University Press, 2002.[4] R. B. Burns, “Study and stress among first-year overseas students in an australian university,” Highereducation research and development, vol. 10, no. 1, pp. 61–77, 1991
= orange, > 1.05 = green), making it easy to find low and high performers. The ‘Delta’column highlights when individuals have a mismatch between self and peer assessment, greaterthan 0.05. This threshold of 0.05 can be adjusted by the user to prioritize instructor feedback torealign self-perception with peer evaluation. Table 6: Student Y, First Team Leader Rotation Student Y Name L E A D E R S w/ self w/o self Delta Cmt Y 5 5 5 4 4 4 4 0.955 0.872 -0.083 Rated self high G 5 4 5 4 5 5 5 0.996 0.986 -0.010 H 4 4 4 4 4 4 4 0.933 0.942 0.009
Paper ID #33968Mass-scale Online Synchronous Entrepreneurship Education for EngineersProf. Ranji K. Vaidyanathan, Oklahoma State University Dr. Ranji Vaidyanathan is presently the Varnadow Professor of Materials Science and Engineering at the Helmerich Research Center at OSU Tulsa. He was previously the Director of the New Product Develop- ment Center (NPDC) and the Inventors Assistance Service (IAS) at Oklahoma State University. Dr. Vaidyanathan has eighteen U. S. patents and twenty-two pending patent applications. He has de- veloped six different products from concept stage to commercial stage including a product
Example from Strength of MaterialsStudents designing a timber ‘T’ beam for a quiz question exemplified how a model and theaccompanying mathematics is, or is not, used in engineering. The beam is constructed using twoplanks by setting one on edge (the stem of the T) and nailing the other down the middle to thetop edge. The quiz question asked students to specify s, the maximum nail spacing required tosafely fasten the two planks together for the given loading. Students learn about internal forcesin statics and then shear flow and shear stress in strength of materials courses. They typicallywork several fastener spacing problems during class and in assigned homework. The quizproblem described a situation where V(x), the internal shear force in the
reviewed. Second, program outcomes are assessed. Both arecompared to the results from prior years where the REU was conducted on-campus.6.1. Benefits Sought and AttainedAs in prior years, participants were asked to identify areas that they hoped to attain benefit andareas in which they did attain benefit. This data is presented in Appendix 3’s Table A1 anddiscussed in Appendix 3.Overall, while the limited number of participants limits the utility of direct comparisons, theonline program during year 3 outperformed the two previous years in terms of the number ofcategories that participant-sought benefits were attained in. Thus, it can be concluded that therewas no large-scale detriment in this area. The smaller cohort size may have impaired
Analysis of structural stability using Figure 7 column buckling 6 Fatigue Analysis of fatigue failure using rotating- Figure 8 bending specimens and exploration of safe- life design using S-N curve.Virtual Lab DescriptionFigure 3 depicts the screenshot of VL 1, Stress Analysis of I-Beams. The I-beam structure is afour-point bending virtual specimen. In this VL exercise, the users start the VL experiment bymoving the head of the press downward using either the Jog Slow or Jog Fast button to the left ofthe screen. The users can choose the speed of the head movement by using the speed adjustmentknob just above the
release at the endof the year, Single Sign-On (SSO) configuration was not yet complete primarily due to logisticaldifficulties between IT teams. The team decided to use the old site for one final semester tocomplete more in-depth testing and help ensure a smooth transition. SSO is a critical productionfeature because it enables students to log into these applications using their Georgia Tech logincredentials, providing seamless accessibility.Spring 2020’s focus was EM development (9) and preparing IDCD for release. SSO was set upand the beta IDCD app was released on the production tenant for the Summer 2020 capstonedesign students (10). Typically, only about 60 students participate in capstone design’s ME andInterdisciplinary summer offerings as
] Lave, J. and E. Wenger (1991). Situated learning: Legitimate peripheral participation.Cambridge, Cambridge UP.[2] Jamieson, M. V., & Shaw, J. M. (2020). Teaching engineering innovation, design, andleadership through a community of practice. Education for Chemical Engineers, 31, 54-61.[3] Newswander, L. K., & Borrego, M. (2009). Using journal clubs to cultivate a community ofpractice at the graduate level. European Journal of Engineering Education, 34(6), 561-571.[4] Donath, L., Spray, R., Thompson, N. S., Alford, E. M., Craig, N., & Matthews, M. A. (2005).Characterizing discourse among undergraduate researchers in an inquiry‐based community ofpractice. Journal of Engineering Education, 94(4), 403-417.[5] Smith, S. U., Hayes, S
literature 2007–2017.” Science & Technology Libraries, vol. 36 (3), pp. 235-273, 2017[2] S. D. Carver, J. Van Sickle, J.P. Holcomb, D.K. Jackson, A.H. Resnick, S.F. Duffy, N. Sridhar, A.M. Marquard, & C.M. Quinn. “Operation STEM: Increasing success and improving retention among mathematically underprepared students in STEM.” Journal of STEM Education: Innovations and Research, vol. 18(3), pp. 30–39, 2017[3] J.C. Drew, S. Galindo-Gonzalez, A.N. Ardissone, & E. W. Triplett. “Broadening participation of women and underrepresented minorities in STEM through a hybrid online transfer program.” CBE Life Sciences Education, vol. 15(3), pp. 1-10, 2016.[4] M. Estrada, M. Burnett, A.G. Campbell, P.B. Campbell
novice programmers toproduce reasonably functional and meaningful programs in a much shorter time, eliminatingmuch of the frustration from the equation.AcknowledgementThis work was supported by National Science Foundation (EEC-1611019, RET Site: CoMET atUniversity of Central Florida).References[1] M. Weiser, "The computer for the 21st century," Scientific American, vol. 265, no. 3, pp. 94-105, 1991.[2] M. Weiser, R. Gold, and J. S. Brown, "The origins of ubiquitous computing research at PARC in the late 1980s," IBM Systems Journal, vol. 38, no. 4, pp. 693-696, 1999.[3] N. R. Council, “A framework for K-12 science education: Practices, crosscutting concepts, and core ideas.” National Academies Press, 2012.[4] D
, master’s, and doctor’s degrees conferred by postsecondary institutions, by sex and discipline, 2014-15,” 2015. https://nces.ed.gov/programs/digest/d16/tables/dt16_318.30.asp[16] Stanford VMware Women’s Leadership Innovation Lab, 2019. https://womensleadership.stanford.edu/seedsofchange[17] C. Frieze and J. L. Quesenberry, “Broadening participation: How computer science at CMU is attracting and retaining women,” Communications of the ACM, Vol. 62, pp. 23-26, 2019.[18] S. Zhang, “Fostering a community of women in STEM,” November 2018. https://www.seas.harvard.edu/news/2018/11/fostering-community-women-stem[19] IEEE Women in Engineering (Professional group), 2019. https://wie.ieee.org/[20] Association for Computing
the precedent set by her supervisors.Kayla’s authentic workplace experience contrasted with her school experiences because she haslower confidence with school and feels that others also have lower confidence in her. Shementioned that her classmates weren’t as respectful as her supervisors and they didn’t value heropinion. Based on this response, Kayla was describing inauthenticity due to a confident maleculture of engineering within school which was similar to Chachra et al.’s [32] and Faulkner’s[25] findings.Engineering Identity DevelopmentA critical piece of engineering identity development is recognition as an engineer. This includesidentity recognition by self and others. Recognition by others has been found to connectstudents’ identities
Journal, Vol. 6(1), Part 4, June 2005, pp 4-151 - 4-1645. M. Crow, "Supportive University Relationships Help Companies Find Bright Engineering Graduates," IEEEPower and Energy, Jan./Feb. , pp 34-37, 2005.6. P. Jennings, “New directions in renewable energy education”, Renewable Energy, Vol. 34, 2009, pp. 435-439.7. B. Russel, “Educating the workforce for the modern electric power systems university-industry collaboration”,Bridge Electricity Grid, Vol. 40(1), pp. 35-41, 2010.8. J. DeWaters, S. Powers, "Work in progress – energy education and energy literacy: Benefits of rigor andrelevance", Frontiers in Education Conf., 2009. FIE '09. 39th ASEE/IEEE, San Antonio, TX, 2009.9. R. Ehrlich, “Stimulating Renewable Energy Education in the U.S. and
-peer-review-putting-skills-into- practice/[3] A. E. Carroll, “Peer Review: The Worst Way to Judge Research, Except for All the Others.” NY Times, November 6, 2018. Retrieved from https://nyti.ms/2yRcClr.[4] C. Tyson, “E.O. Wilson on the Next Big Thing.” Chronicle of Higher Education, May 7, 2019. Retrieved from https://www.chronicle.com/article/EO-Wilson-on-the-Next- Big/246257?utm_source=at&utm_medium=en&cid=at[5] L. Benson, “Reflecting, Rebooting, Reviewing,” Journal of Engineering Education, vol. 108, no. 3, p. 311 - 312. 2019. https://doi.org/10.1002/jee.20288[6] K. Edström, J. Bernhard, M. van den Bogaard, L. Benson, C. Finelli, S. Chance, S. and R. Lyng, “Reviewers, reviewers, reviewers
). Developing a Shared Vision for Change: Moving toward Inclusive Empowerment. Research in Higher Education, 1-24.García, G. A., Núñez, A.-M., & Sansone, V. A. (2019). Toward a multidimensional conceptual framework for understanding “servingness” in Hispanic-serving University of Texas at ElPasos: A synthesis of the research. Review of Educational Research, 89(5), 745–784. https://doi.org/10.3102/0034654319864591Hrabowski III, F. (2019). The Empowered University. Baltimore, MD: Johns Hopkins University Press.Jones, S. R., Torres, V., & Arminio, J. (2014). Negotiating the complexities of qualitative research in higher education (2nd edition). Routledge.Kezar, A., Glenn, W. J., Lester, J., &