SummariesFull portraits of each PSTs’ experiences are currently being composed. Because data analysis iscurrently underway, and the generation of the final portraits is a substantive task, portraitsummaries are provided below. Again, given the extensive nature of the data analysis necessaryto compose a complete portrait, the following summaries are only brief snapshots of the fullportraits we are currently developing to more completely detail each PSTs’ experiences.KristinaKristina, a senior elementary education major also working toward a science education option,was a strong student both in Author 1’s educational technology course and Author 3’s sciencemethods course. She brought enthusiasm and energy to her coursework and was often seen as aleader
higher education: an exploration of the value ofparticipatory methods,” British Educational Research Journal, vol. 36, no. 6, pp. 995-1015,2010.[7] E. Lorente-Catalán, and D. Kirk, “Making the case for democratic assessment practiceswithin a critical pedagogy of physical education teacher education,” European PhysicalEducation Review, vol. 20, no. 1, pp. 104-119, 2014.[8] S. M. Mustapha, N. S. N. Abd Rahman, and M. M. Yunus, “Factors influencing classroomparticipation: a case study of Malaysian undergraduate students,” Procedia-Social andBehavioral Sciences, Vol. 9, pp. 1079-1084, 2010.[9] T. A. Angelo, and K. P. Cross, “Minute paper,” Classroom Assessment Techniques: AHandbook for College Teachers, pp. 148-153, 1993.[10] L. D. McNair
. Bridging the gaps between engineering education and practice. In Richard B. Freeman and Hal Salzman, editors, U.S. Engineering in a Global Economy, pages 129–163. University of Chicago Press, 2018. [9] Elizabeth May and David S. Strong. Is engineering education delivering what industry requires. In Proceedings of the Canadian Design Engineering Network (CDEN) Conference, Toronto, Canada, 2006.[10] S A Male, M B Bush, and E S Chapman. Perceptions of competency deficiencies in engineering graduates. Technical Report 1, The University of Western Austrailia, Perth, 2010.[11] David F. Radcliffe. Innovation as a meta-attribute for graduate engineers. International Journal of Engineering Education, 21(2):194–199, 2005.[12
,” The Journal of Academic Librarianship, vol. 34, no. 1, pp. 25– 30, Jan. 2008, doi: 10.1016/j.acalib.2007.11.007.[5] J. D. Eldredge, D. G. Bear, S. J. Wayne, and P. P. Perea, “Student peer assessment in evidence-based medicine (EBM) searching skills training: an experiment,” Journal of the Medical Library Association, vol. 101, no. 4, pp. 244–251, Oct. 2013, doi: 10.3163/1536.[6] A. J. Carroll, S. J. Hallman, K. A. Umstead, J. McCall, and A. J. DiMeo, “Using information literacy to teach medical entrepreneurship and health care economics,” Journal of the Medical Library Association, vol. 107, no. 2, pp. 163–171, Apr. 2019, doi: 10.5195/jmla.2019.577.[7] K. M. Klipfel, “Authentic engagement: Assessing the effects of
.,traditional, project-based, etc.). To see the value of combining SBG and reflection the coursewould need to allow for multiple assessments of each learning objective; students need theopportunity to identify learning objectives in which they are weak, make a plan to improve, timeto execute that plan, and ultimately see if they have improved upon or mastered that learningobjective as the course progresses.References[1] S. A. Ambrose, "Undergraduate Engineering Curriculum: The Ultimate Design Challenge," The Bridge - National Academy of Engineers, vol. 42, no. 2, 2013.[2] R. Bary and M. Rees, "Is (self-directed) learning the key skill for tomorrow's engineers?," European Journal of Engineering Education, vol. 31, no. 1, pp. 73-81
course in detail so that other instructors can attempt to reform their own courses to teach students betterproblem-solving.Course Description:The course in question is a semester-long junior-level course in chemical kinetics and reaction engineeringat a highly selective public university in the western U. S. This was the first year of teaching for theinstructor and TAs of the course. The course covers reaction stoichiometry and homogenous kinetics,steady-state and time-dependent reactor design with material and energy balances, deriving reactionmechanisms and rate laws, and understanding transport limitations for heterogeneous catalysis. The coursegrade was comprised of graded homework sets (15%) and 3 midterm exams (16%, 17%, 17
initial finding aswell as conduct additional tests to statistically analyze the motivation and engagement throughMotivational Strategies for Learning Questionnaire.ReferencesAkçayır, M., Akçayır, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334–342. https://doi.org/10.1016/j.chb.2015.12.054Bazarov, S. E., Kholodilin, I. Y., Nesterov, A. S., & Sokhina, A. V. (2017). Applying Augmented Reality in practical classes for engineering students. IOP Conference Series: Earth and Environmental Science, 87, 032004. https://doi.org/10.1088/1755
computing.Podcast project checkpoints and rubric: Since students were learning computing concepts inC for the remainder of the semester, weekly project checkpoints were included to help studentsmanage their time on the project as well as course homework assignments. Students hadapproximately six weeks to complete the assignment. The checkpoints were assigned as follows:Podcast Project CheckpointsWeek 1: Submit list of group membersWeek 2: Podcast Planning: 1. General Ethical Principle(s) Selected for Discussion 2. Podcast Format(s) Selected: Single vs. Group Conversation Scripted vs. Casual Interviews Read vs. “Live Interview”Week 3: Submit draft podcast storyboard or
assessed using a larger sample that is representative of the constructionstudents’ population body to establish the generalizability of the study’s findings.References[1] Schwartz, J. L. (2018). The Spanish flu, epidemics, and the turn to biomedical responses. American Journal of Public Health, 108(11), 1455-1458.[2] Hays, J. (1908). "The School and Its Part in the Prevention of Tuberculosis." The Lancet, 171(4419), 1327-330.[3] Kinney, L., Liu, M., and Thornton, M. (2012). Faculty and Student Perceptions of Online Learning in Engineering Education. Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. https://peer.asee.org/21387[4] Viswanathan, S., & Wyne, M. F. (2013
run into online.References1. World Health Organization. Coronavirus disease (COVID-2019) situation reports.Available at: https://www.who.int/emergencies/diseases/novelcoronavirus-2019/situation-reports/ Accessed November 21, 2020.2. Holshue ML, DeBolt C, Lindquist S, et al. First case of 2019 novel coronavirus in theUnited States. N Engl J Med,382:929–36. 20203. Miliszewska, M. Is it fully ‘on’ or partly ‘off’? The case of fully-online provision oftransnational education. Journal of Information Technology Education, 6, 500-514. 20074. Barnett-Braddock F, Adult ADHD: Effect of student performance within the onlineclassroom. Dissertation, Liberty University, Lynchburg, VA, 20165. Gottfried, M. “Evaluating the Relationship Between Student
Kong Airport Installs Full-Body Disinfecting Booths. AFAR. https://www.afar.com/magazine/hong-kong-airport-installs-full-body-disinfecting-boothsBlock, M. S., & Rowan, B. G. (2020). Hypochlorous Acid: A Review. Journal of Oral and Maxillofacial Surgery, 78(9), 1461–1466. https://doi.org/10.1016/j.joms.2020.06.029Canova, D. (2020, August 4). Denver Broncos install “misting booth” to disinfect players amid coronavirus pandemics. Fox News. https://www.foxnews.com/sports/denver-broncos- misting-booth-coronavirusCDC. (2020). Chemical Disinfectants | Disinfection & Sterilization Guidelines | Guidelines Library | Infection Control | CDC. https
did not experience changes during their internships during the summerof 2020. Although from an economic perspective, PPE might appear to be non-consequential, forconstruction, the additional PPE is an additional cost. More importantly, the difficulty in findingwork that was identified is quite essential. This finding indicates that internships during times ofeconomic change, whether sudden or due to an ongoing recession, affect students. Additionalresearch is required to determine if all recessions affect internships, as they are often required aspart of graduation requirements.References[1] Barr, A., Turner, S.E. and Danziger, S.(2013). "Expanding Enrollments and Contracting State Budgets: The Effect of the Great Recession on Higher
modalities as possible, we open access and allow for a diverse groupof educators to learn about how to better support the metacognitive development of their students.ReferencesWiggins, G. P., & McTighe, J. (2005). Understanding By Design: Association for Supervision and Curriculum Development.Cunningham, P., Matusovich, H., Carrico, C., Ellestad, R.M., Tantum, S., Santillan, S., & Simmmons, R. (Under Review). Supporting Students Skillful Learning: Lessons Learned From a FacultyDevelopment Workshop. Presented at the 2021 ASEE Annual COnference & Exposition. LongBeach, CA.Table 2: Backward design plan for the flipped workshops in the Skillful Learning Institute short course W0 Before W1
innovation in STEM education. Retrieved from: https://www.air.org/system/files/downloads/report/STEM- 2026-Vision-for-Innovation-September-2016.pdf 2. Elam, M., Donham, B. & Solomon, S. (2012). An engineering summer program for underrepresented students from rural school districts. Journal of STEM Education, 13(2), 35-43. 3. Goodpaster, K. P., Adedokun, O. A., & Weaver, G. C. (2012). Teachers' perceptions of rural STEM teaching: Implications for rural teacher retention. The Rural Educator, 33(3). 4. Harris, R. S., & Hodges, C. B. (2018). STEM Education in Rural Schools: Implications of Untapped Potential. National Youth-At-Risk Journal, 3(1). 5. Hartman, S., Hines-Bergmeier, J. & Klein, R. (2017
. Song, “Counter-unmanned aircraft system(s) (c-uas): State of the art, challenges, and future trends,” IEEE Aerospace and Electronic Systems Magazine, 2021. [4] “Drones and robotics for utility transmission and distribution: Unmanned aerial vehicle and robotics solutions for utility td inspection and maintenance: Global market analysis and forecasts,” https://blog.aee.net/ drones-robotics-for-utility-transmission-distribution-offer-improved-safety-and-cost-effectiveness, accessed: December 14, 2020. [5] H. Song, G. Fink, and S. Jeschke, Security and privacy in cyber-physical systems. Wiley Online Library. [6] M. Albalawi and H. Song, “Data security and privacy issues in swarms of drones,” in 2019 Integrated Communications
) and engineering (E) in science (S) instruction (ETS) can also supportgreater science achievement; especially among elementary-aged students (Becker & Park, 2011).Therefore, elementary teachers should include a range of technologies to support studentunderstandings about engineering and science and to develop technology-related competencies.However, research indicates teachers may not be doing so (Gonczi et al., 2016; Maeng et al.,2017; Wang, Moore, Roehrig, & Park, 2011). For example, of 52 elementary teachers in Virginiawho included an engineering challenge in their science instruction, only 15 (28.8%) incorporateddigital technology to support engineering. Of these 15 teachers, 9 (60%) used a video and noneused a computer simulation
their constructive comments that helped us improve the paper.References [1] R. L. S. De Oliveira, C. M. Schweitzer, A. A. Shinoda, and L. R. Prete, “Using mininet for emulation and prototyping software-defined networks,” in 2014 IEEE Colombian Conference on Communications and Computing (COLCOM). IEEE, 2014, pp. 1–6. [2] R. R. Fontes, S. Afzal, S. H. Brito, M. A. Santos, and C. E. Rothenberg, “Mininet-wifi: Emulating software-defined wireless networks,” in 2015 11th International Conference on Network and Service Management (CNSM). IEEE, 2015, pp. 384–389. [3] R. Ruslan, M. F. M. Fuzi, N. Ghazali et al., “Scalability analysis in mininet on software defined network using onos,” in 2020 Emerging Technology in Computing
. Issues in Information Systems, 2020. 21(4).3. Dwivedi, Y.K., et al., Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 2020. 55: p. 102211.4. Georgiadou, A., S. Mouzakitis, and D. Askounis, Working from home during COVID-19 crisis: a cyber security culture assessment survey. Security Journal, 2021: p. 1-20.5. Lallie, H.S., et al., Cyber security in the age of covid-19: A timeline and analysis of cyber-crime and cyber-attacks during the pandemic. arXiv preprint arXiv:2006.11929, 2020.6. Furnell, S. and J.N. Shah, Home working and cyber security–an outbreak of unpreparedness? Computer Fraud
interactions are not be limited to stimulate theteam members’ energy and enthusiasm.References1. El-Sayed, M., and S. Beyerlein. "Design and integration of a capstone course to achieve program outcomes." In ASEE Annual Conference. 2008.2. El-Sayed, M., Engineering Design Education for Integrated Product Realization, Proceedings of the 2009 ASEE annual Conference, ASEE Paper # AC 2009-2234, June 2009.3. Johnson, R. The capstone course: A synergistic tool for pedagogical and assessment goals in higher education. Paper presented at the 10th AAHE Conference on Assessment and Quality, Boston, MA, June 1995.4. Moore, R. C., The capstone course, in W. G. Christ (Ed.), Assessing Media Education: A resource for educators and administrators
1 1 Pipe Diameter Flow Rate 5 2-3 2–4 Pipe Diameter C. Problem generation.With these parameters identified, the problem generation algorithms can proceed. The problemgeneration process begins by selecting the fluid, entrance type, and pipe material. The entrancelocation is considered to be the reference location for the system elevation, and the materiallimits the pipe sizes that can reasonably be considered.Next, the pipe diameter(s) are randomly selected. The diameters are generated such that
(Salem, Mass.), vol. 95, no. 5, pp. 877–907, 2011, doi: 10.1002/sce.20441.[3] S. Y. Yoon, M. Dyehouse, A. M. Lucietto, H. A. Diefes-Dux, and B. M. Capobianco, "The Effects of Integrated Science, Technology, and Engineering Education on Elementary Students' Knowledge and Identity Development: Effects of Integrated STEM Education on Students," School science and mathematics, vol. 114, no. 8, pp. 380–391, 2014, doi: 10.1111/ssm.12090.[4] O. Pierrakos, T. K. Beam, J. Constantz, A. Johri, and R. Anderson, "On the development of a professional identity: Engineering persisters vs engineering switchers," in 2009 39th IEEE Frontiers in Education Conference, 2009, pp. 1–6.[5] B. Geisinger and D. R. Raman, "Why They Leave
in the meteorology community. Initially released in 2002, it isdeveloped by the Unidata Program Center (UPC)(Unidata | IDV FAQs, n.d.), which is a group ofinstitutions that develops and shares tools and data with the Earth Science research and educationcommunity. Unidata is primarily funded by the National Science Foundation and is part of the UniversityCorporation for Atmospheric Research (UCAR) (Unidata Tour, 2021). Figure 2 is a typical IDVvisualization included with the curriculum. Figure 2. An IDV visualization showing a constant pressure (a.k.a., isobaric) surface colored by windspeed along with surfaces of constant wind (a.k.a., isotach) at a value of 50 m/s. Note the orientationdirected from southeast to northwest across the Earth
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