the course management system, and student'ssatisfaction with the instructors’ delivery of the course content. Online survey instruments werecreated to circulate among construction students to a) evaluate the student learning experienceduring COVID-19 and b) identify student adaptation of content delivery during COVID-19. Thestudents’ perspectives are analyzed with the challenges faced by the students. The survey resultswill be used to assist faculty in identifying construction curriculum requirements based on thestudent's perceived ability to learn for any future move to online learning, either due to weather orillness.Keywords: Online Learning Environment (OLE), COVID-19 impact, Course managementsystem, Construction
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
/288851468182381699/The‐effect‐of‐primaryschool‐ quality‐on‐academic‐achievement‐across‐twenty‐nine‐high‐and‐low‐income‐countries[3] Coleman, J. S., United States., & National Center for Education Statistics. (1966). Equality of educational opportunity [summary report]. Washington: U.S. Dept. of Health, Education, and Welfare, Office of Education; [for sale by the Superintendent of Documents, U.S. Govt. Print. Off..[4] Baker, D. P., Goesling, B., & LeTendre, G. K. (2002). Socioeconomic Status, School Quality, and National Economic Development: A Cross‐National Analysis of the “Heyneman‐ Loxley Effect” on Mathematics and Science Achievement. Comparative Education Review, 46(3), 291–312. https://doi.org
Paper ID #33816Women in Science and Technology Bio-Bio Meeting: Empowering YoungWomenin ChileDr. Nacarid Delgado, Universidad Andres Bello, Concepcion, Chile Nacarid Delgado is a professor and researcher at the School of Engineering at the University Andres Bello in Concepci´on, Chile. She holds a bachelor’s degree in Chemical Engineering, a master’s degree in Chem- istry, and a doctoral degree in Chemistry, all from Universidad del Zulia, Venezuela. Her main research areas are isolation, synthesis and characterization of chemical compounds from industrial by-products, recovery and use of residues from forestry and
Internet of Things (IoT),” in 2018 2ndopportunities for the general user to start diving into International Conference on Inventive Systemsand discovering how these IoT devices interact. These and control (ICISC), 2018, pp. 1156–1161.tools can be integrated into the educational [5] A. Cooper et al., “Privacy considerations forenvironment fostering learning and offer keen insights internet protocols,” Internet Archit. Board, 2013.otherwise hidden. Teachers would have the [6] C. Srinivasan, B. Rajesh, P. Saikalyan, K.opportunity to guide students through tasks that reveal Premsagar, and E. S. Yadav, “A review on thethe protocols used by various devices and further
Engineering) and Master of Technology (Chemical Engineering) in India. He later joined Texas A&M University and earned his Doctor of Philosophy in Civil (Environmental) Engineering. His research efforts are focused on drinking water quality and issues related to the treatment of wastewater using physical, chemical, biological, and electrochemical/kinetic processes. His recent research efforts have been in the area of application of geographic information systems to environmental management and sustainability, causes/effects of salinity in soils, and corrosion of metal pipes. Dr. Tewari also has a keen interest in STEM education, improving diversity in STEM areas, the inclusion of hands-on and digital tools in the
. 95, no. 2, pp. 139- 151, 2006.[3] S. Shehab, “Collaborative problem solving in higher education classrooms: Exploring student interactions, group progress, and the role of the teacher,” Ph.D dissertation, College of Education, University of Illinois Urbana-Champaign, 2019.[4] L. Lawrence, “The design process of a collaborative orchestration tool and its implications for instructor uptake” Ph.D dissertation, College of Education, University of Illinois Urbana-Champaign, 2020.[5] P. Dillenbourg and P. Jermann, “Technology for classroom orchestration,” in New science of Learning. New York, NY: Springer, 2010, pp. 525-552.[6] K. Holstein, B. M. McLaren, and V. Aleven, “Designing for complementarity
5, we notice that Cluster 2’s Control score is higher than Control scores ofClusters 1 and 3. We can say with certainty that there is a difference in Control score betweenCluster 1 and Cluster 2. Nonetheless, the Control scores in Cluster 2 and 3 are almost the same.Therefore, when there is ambiguity in the value in the table, we can use bootstrap analysis tohelp us determine if there is a difference in the control variable between Cluster 2 and Cluster 3. ```{r} # We just want Cluster 2 & 3 control % filter(Cluster != 1) # Setting up the functions and constants B
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water; it is typicallybetween 5 and 20 NTU even when it is untreated. This is above WHO standards, but research hasshown that moringa is more effective at higher initial turbidities. After 2 hours, the change inturbidity was not usually visibly noticeable. After 12 hours, some change could be visiblyobserved, but turbidity readings were not taken to quantify this change.” Figure 1 showspreliminary trials performed using MO seed solids for water treatment at a service-learninglocation. a) b)Figure 1. Field trials for treatment of ground water at a service-learning site. Undergraduate involvement in University service-learning programs has also motivatedstudents to pursue experimentation on
, such as the syllabus with week by week labs spelled out and parts listclearly. The lab rules and safety were also covered. b) Transitioning to Virtual LabTo move a lab course quickly online, Instructor designed the virtual mode of instruction of ECE2200L including three parts:• Teach the content at the beginning of the lab.• Use simulation tools (such as PSpice) to model each circuit.• Show the simulation results through sharing the screen.Instructor modified the previously planned labs associated with the simulation so that studentscan perform it at home. Instructor also prepared for each virtual lab a To-Do list that serves as avery good pre-lab for the students. The To-Do list helps the student to better meet their learningobjectives for
in Education Journal, Vol. 11, No. 1, pp. 1-7.[17] Jamali, M.A.J., Bahrami, B., Heidari, A., Allahverdizadeh, P. & Norouzi, F., 2020, “IoT Architecture”, Towards the Internet of Things, pp. 9-31.[18] Lynn, T., Endo, P.T., Ribeiro, A.M.N., Barbosa, G.B. & Rosati, P., 2020, “The internet of things: definitions, key concepts, and reference architectures”, The Cloud-to-Thing Continuum, p.1.[19] Krčo, S., Pokrić, B. & Carrez, F., 2014, “Designing IoT architecture (s): A European perspective”, 2014 IEEE world forum on internet of things (WF-IoT), pp. 79-84.[20] Hakiri, A., Berthou, P., Gokhale, A. & Abdellatif, S., “Publish/subscribe-enabled software defined networking for efficient and scalable IoT
., Washington DC, USA: The National Academies Press, 2002.[5] M. Stains et al., “Anatomy of STEM teaching in North American universities,” Science, vol. 359, no. 6383, pp. 1468-1470, Mar., 2018, doi: 10.1126/science.aap8892.[6] S. E. Brownell and K. D. Tanner, “Barriers to faculty pedagogical change: Lack of training, time, incentives, and... tensions with professional identity?,” CBE: Life Sciences Education, vol. 11, pp. 339–346, 2012, doi: 10.1187/cbe.12-09-0163.[7] S. E. Shadle, A. Marker, and B. Earl, “Faculty drivers and barriers: Laying the groundwork for undergraduate STEM education reform in academic departments,” International Journal of STEM Education, vol. 4, no. 8, pp. 1-13, April, 2017, doi
, however, putting this on my list of priorities for nextyear.Tennessee CaseThe teacher from Tennessee, Mr. Mark King teaches at a public high school. He appears to be aWhite American male, is 43 years old, and holds an undergraduate degree in engineering. Hehas participated in five years of an NSF Research Experiences for Teachers (RET) program,working in several engineering labs. He has been teaching science for the past 20 years,including AP Physics 1, AP Physics 2, AP Physics C, AP Physics B, Physical Science,Chemistry, and AP Chemistry. This is his fourth year teaching an engineering class, entitled“Engineering as Service Learning.” There are 23 students (13% females) in the engineeringclass. It is a moderately diverse student group with two
. Reppen, Corpus linguistics: Investigating language structure and use, Cambridge University Press, 1998.[4] B. Furman and W. Robinson, "Improving Engineering Report Writing with Calibrated Peer Review," in The 33rd ASEE/IEEE Frontiers in Education Conference, Boulder, CO, 2003.[5] D. Biber, Variation Across Speech and Writing, Cambridge: Cambridge University Press, 1988.[6] A. Nini, Multidimensional Analysis Tagger v1.3, 2015.[7] D. Biber, "A typology of English texts," Linguistics, vol. 27, no. 1, pp. 3-43, 1989.[8] M. A. K. Halliday, "The Grammatical Construction of Scientific Knowledge: The Framing of the English Clause," in Incommensurability and Translation: Kuhnian Perspectives on Scientific Communication and Theory Change
2001 and 2010. Review of Educational Research. 84 (4):609–639.[32] Abraham, N., & Telang, N. K. (2019, June). Effectiveness of the Supplemental InstructionProgram in First-Year Engineering Courses-A Longitudinal Report (2015-2018). In 2019 ASEEAnnual Conference & Exposition.[33] The Independent Samples t-test (Student Test). (2020, August 17). Retrieved April 16, 2021,from https://stats.libretexts.org/@go/page/4023[34] Riegle-Crumb, C., Kyte, S. B., & Morton, K. (2018). Gender and racial/ethnic differences ineducational outcomes: Examining patterns, explanations, and new directions for research.Handbook of the sociology of education in the 21st century, 131-152.Riegle-Crumb, C., Kyte, S.B., & Morton, K. (2018). Gender and
levels of both structural response and secondary systems. After re- ceiving her PhD, Dr. Wong began a post-doctoral fellowship at Lawrence National Laboratory developing a modern computational framework for the nonlinear seismic analysis of Department of Energy nuclear facilities and systems. This work seeks to expand the understanding of soil structure interaction for these structures and the means of modeling this behavior both theoretically and experimentally. In addition to her research experience, Dr. Wong also has worked for the public and private engineering sectors in the areas of water infrastructure, transportation, data systems, and project management. She joined San Fran- cisco State University in 2014 as
, thosepromoting the change must be able to show that PBL is effective for engineering education.It is highly recommended that an Active Learning Taskforce be formed of experienced faculty,to initiate, infuse, and oversee the progress made. Their determination, patience, and resilienceare required to successfully promote college-wide implementation of PBL. Nevertheless, withclear intentions, goals and plans of action, coupled with support from the highest level of theUniversity’s key personnel, the Taskforce and other core groups, should be able to move theprocess forward. Success would almost be guaranteed, when a well-coordinated university-wideimplementation of PBL is underway in other colleges of the University.Bibliography1. Allen, D. E., Duch, B. J
. “Inservice Teachers' Perceptions of a Professional Development Plan Basedon SAMR Model: A Case Study,” Turkish Online Journal of Educational Technology-TOJET,vol. 18 ED-3, pp. 46-53, 2019.[3] A. Kolb and D. Kolb, Experiential learning: Experience as the source of learning anddevelopment. Cleveland, OH. Experience Based Learning Systems Press, 2014.[4] J. Lave, and E. Wenger, Situated Learning: Legitimate Peripheral Participation.Cambridge, England: Cambridge University Press, 1991.[5] M. Prince, “Does active learning work? A review of the research,” Journal of EngineeringEducation, vol. 93 ED-3, pp. 223-231, 2004.[6] M. B. Miles, A. M. Huberman, and J. Saldana, “Chapter 4: Fundamentals of qualitative dataanalysis” in Qualitative Data Analysis, Ed
Paper ID #35140UAV PARAMETER ESTIMATION THROUGH MACHINE LEARNINGAndres Enriquez Fernandez Andres Enriquez Fernandez was born in Ciudad Juarez, Chihuahua, Mexico. He earned his bachelor’s degree in Mechanical Engineering at the University of Texas at El Paso. After graduating in Spring of 2006, he started working full-time at an automotive company’s technical center as a product development engineer in Ciudad Juarez. While working full-time in Fall of 2017, Andres returned to The University of Texas at El Paso to start the master’s graduate school program in Mechanical Engineering. While obtain- ing his master’s
-33.7. Conger, D., M.C. Long, and R. McGhee Jr. Advanced Placement and Initial College Enrollment: Evidence from an Experiment. in Proceedings of the Association for Education, Finance, and Policy 2020 Conference. 2020.8. Dodd, B.G., et al., An Investigation of the Validity of AP® Grades of 3 and a Comparison of AP and Non-AP Student Groups. Research Report No. 2002-9. College Board, 2002.9. Morgan, R. and B. Maneckshana, AP students in college: An investigation of their course-taking patterns and college majors. Princeton, NJ: Educational Testing Service, 2000.10. Mattern, K.D., J.P. Marini, and E.J. Shaw, Are AP® Students More Likely to Graduate from College on Time? Research Report 2013-5. College Board
Educationtheir ability to perform specific accomplishments critical to the academic success inengineering majors (e.g., complete the mathematics requirements for most engineeringmajors).ER-S (Educational Requirements-Strength) variable is a measure of the strength of self-efficacy and is assessed by having participants rate their degree of confidence in theirability to complete their education requirements.Parameters estimate for the regression model of male and female students is expressed inTable 1. Table 1 Parameters estimate for the regression model Independent b β T sigT Variables Male MAT-SAT .001 .166 1.97 .051
security engineering: considerations for a multidisciplinary approach in the engineering of trustworthy secure systems, volume 1. https://doi.org/10.6028/nist.sp.800-160v1[28] Rules & Policies. (n.d.). Folding@Home. Retrieved October 8, 2021, from https://foldingathome.org/support/faq/rules-policies/?lng=en[29] Samonas, S., & Coss, D. (2014). The CIA strikes back: Redefining confidentiality, integrity and availability in security. Journal of Information System Security, 10(3).[30] Sandhu, R. S. (1993, September). On Five Definitions of Data Integrity. In Proceedings of the IFIP WG11. 3 Working Conference on Database Security VII (pp. 257-267).[31] Schlagwein, D., Cecez‐Kecmanovic, D., & Hanckel, B. (2019). Ethical norms
. Chesler, “Gender-informed mentoring strategies for women engineeringscholars: On establishing a caring community”, Journal of Engineering Education, vol. 91, no. 1,pp. 49-62, 2002.[15] M. Franchetti, “An analysis of retention programs for female students in engineering at theUniversity of Toledo”, Journal of Pre-College Engineering Education Research, vol 2., no.1, pp.21-27, 2012, doi: 10.5703/1288284314652.[16] P.R. Hernandez, B. Bloodhart, R.T. Barnes, A.S. Adams, S.M. Clinton, I. Pollack, et al.,“Promoting professional identity, motivation, and persistence: Benefits of an informal mentoringprogram for female undergraduate students”, PLoS ONE, vol. 12, no. 11, November 2017, doi:10.1371/journal.pone.0187531[17] T. Dennehy and N. Dasgupta
on a Conventional Bike, ASEE Conference Proceeding 20187. Cristian Stransky, Damien Dumayas, Tianyi Dai, Paponvich Chattrapronvichian, Hari Kumarakuru, and Bala Maheswaran, Innovative Energy Elevator: A Physics and Engineering Wonder!, ASEE Conference Proceeding 20188. R. Harris and B. Maheswaran, A partnership of non-traditional access into engineering via nuprime and the ujima scholars program, ASEE Conference Proceeding, AC 2010-1907.9. R. Reisberg, A. Funai and B. Maheswaran, Supplemental freshman physics/chemistry programs to support women in engineering, ASEE Conference Proceeding, AC 2009 -1851.10. R. Harris and B. Maheswaran, Summer Bridge: a step into the engineering gap, ASEE Conference
maximum flexibility in learning management. The Multimedia Digital Document Archives instructor should strive to: a) understand the new Figure 3. Various content platforms technologies, b) develop teaching and learning supporting critical thinking in the strategies across media, c) develop instructional convergent classroom design skills, d) learn authoring and writing skills, Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Educatione) learn to construct content from learning objects and f) develop skills to edit
Research Society.Costanza-Chock, S. (2020). Design justice: Community-led practices to build the worlds we need. The MIT Press.creative/design/papers/32AtmanDTRS6.pdfCrewe, E. (1997). The silent traditions of developing cooks. Discourses of Development. Anthropological Perspectives. Oxford and New York: Berg.D'Ignazio, C., & Klein, L. F. (2020). Data Feminism. MIT Press.Daitch., P. B. (1970). Engineering and Social Values, Engineering Education. 61(2) 125–26.Dorst, K. (2004). On the problem of design problems-problem solving and design expertise. Journal of design research, 4(2), 185-196.Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of
(a) (b) Figure 5: (a) Positions of the slider 6 and (b) input toque on the crank 2. 4. Student Grade Analysis A pilot engineering education study has been implemented in two summer session Dynamicscourse, and three semesters Machine Dynamics course. 7 Fall 2021 ASEE Middle Atlantic Section Conference In Dynamics, student teams will be offered with the analytical solution in Mathcad with theproject description. The project emphases on the student’s ability to establish the 3D model andconduct dynamics simulation in Inventor, and then verify simulation results with analyticalresults. The feedback from the
the structure of the Survey Of Attitudes toward Statistics (Sats-36) by Swedish students,” Stat. Educ. Res. J., vol. 18, no. 1, pp. 83–93, 2019.[18] T. R. Rhoads and N. F. Hubele, “Student attitudes toward statistics before and after a computer-integrated introductory statistics course,” IEEE Trans. Educ., vol. 43, no. 2, pp. 182–187, 2000, doi: 10.1109/13.848071.[19] P. B. Elmore, E. L. Lewis, and M. L. G. Bay, “Statistics Achievement: A Function of Attitudes and Related Experiences,” in Annual Meeting of the American Educational Research Association, 1993.[20] K. S. Shultz and H. Koshino, “Evidence of reliability and validity for wise’s attitude toward statistics scale,” Psychol. Rep., vol. 82, no. 1, pp. 27–31
/.[Accessed October 5, 2020].[3] B. Means and J. Neisler, “Suddenly online: A national survey of undergraduates during theCOVID-19 pandemic,” Langer Research Associates, 2020. Available:https://digitalpromise.org/wp-content/uploads/2020/07/ELE_CoBrand_DP_FINAL_3.pdf.[Accessed March 7, 2021].[4] A. Kurtz, “The US economy lost 140,000 jobs in December. All of them were held bywomen,” CNN.com, January 9, 2021. [Online]. Available:https://www.cnn.com/2021/01/08/economy/women-job-losses-pandemic/index.html. [AccessedFebruary 2, 2021].[5] D. Boesch and S. Phadke. “When women lose all the jobs: Essential actions for a gender-equitable recover,” Center for American Progress, February 1, 2021. [Online]. Available:https://www.americanprogress.org/issues/women