].[5] F. Toney, The Superior Project Organization: Global Competency Standards and Best Practices. New York: Marcel Dekker, 2002, pp. 18.[6] T. Anderson, “Understanding Power Dynamics Will Make You More Persuasive,” Kellogg Insight. [Online]. Available: https://insight.kellogg.northwestern.edu/article/understanding-power-dynamics-will-make-you- more-persuasive. [Accessed Mar. 16, 2020].[7] F. T. Anbari, E. V. Khilkhanova, M. V. Romanova, M. Ruggia, C. H.-H. Tsay, and S. A. Umpleby, “Cultural Differences in Projects - culturally aware leadership.” in PMI® Research Conference: Defining the Future of Project Management, Washington, DC. Newtown Square, PA: Project Management Institute, July 14, 2010. [Online]. Available: https
://henryjenkins.org/blog/2007/03/transmedia_storytelling_101.html.25. Pence, H. (2011). Teaching with Transmedia. Journal of Educational Technology Systems, 40.2, 131-40.26. Rholetter, W. (2015). Transmedia Storytelling. Research Starters: Education (Online Edition).27. Pietschmann, D., Volkel, S., and Ohler, P. (2014). Limitations of Transmedia Storytelling for Children: A Cognitive Developmental Analysis. International Journal of Communication, 8, 2259-2282. http://ijoc.org/index.php/ijoc/article/viewFile/2612/1205.28. Herr-Stephenson, B., Alper, M., & Reilly, E. (2013, March 16). T Is for Transmedia: Learning Through Transmedia Play (Rep.). Retrieved from http://joanganzcooneycenter.org/wpcontent/uploads/2013/03/t_is_for_transmedia.pdf29
-students 3) https://peer.asee.org/development-of-motion-analysis-software-for-dynamics-education 4) https://www.asee.org/public/conferences/64/papers/15984/view 5) T. C. Chu, W. F. Ranson, M. A. Sutton, W. H. Peters, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech., vol. 25, pp.232–244, 1985 6) H. A. Bruck, S. R. McNeill, M. A. Sutton, W. H. Peters III, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech., vol.29, pp.261–267, 1989 7) Buck, John R., Michael M. Daniel, and Andrew C. Singer, Computer Explorations in Signals and Systems Using MATLAB®. 2nd Edition. Upper Saddle River, NJ: Prentice Hall
. Res., pp. 311–334, 2015.[3] K. Shaaban, “Investigating the reasons for choosing a major among the engineering students in Qatar,” in 2016 IEEE Global Engineering Education Conference (EDUCON), 2016, pp. 57–61.[4] L. A. Phelps, E. M. Camburn, and S. Min, “Choosing STEM college majors: Exploring the role of pre-college engineering courses,” J. Pre-College Eng. Educ. Res., vol. 8, no. 1, pp. 1–24, 2018.[5] T. M. Freeman, L. H. Anderman, and J. M. Jensen, “Sense of belonging in college freshmen at the classroom and campus levels,” J. Exp. Educ., vol. 75, no. 3, pp. 203–220, 2007.[6] O. Pierrakos, N. A. Curtis, and R. D. Anderson, “How salient is the identity of engineering students?,” in 2016
approaches to provide non-trivial classification of large data sets. His main teaching interests are crystal plasticity, sta- tistical mechanics, gas dynamics and kinetic theory, numerical methods in engineering, thermodynamics, solid mechanics, mechanics of materials. He is also interested in developing online courses and using online tools for facilitating active learning techniques in engineering classrooms. c American Society for Engineering Education, 2020 E-Learning And Assessment in the Cloud: Engineering Courses S. Papanikolaou1,2 1 Department of Mechanical & Aerospace Engineering, West Virginia University 2 Department of Physics, West
not major, but they were necessary for theadoption of the program to an institution like UIC. These changes were incorporated to ensurethat the program met the goals and kept its critical components (i.e., ENG 294 course, dual-mentoring, and team-based structure). After the first year of the program, we plan to report onstudent outcomes and assessment data as well as provide a more detailed report of theadjustments made to ERSP at UIC.References[1] M. Barrow, S. Thomas, and C. Alvarado, “Ersp: A structured cs research program for early- college students,” in Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016, pp. 148–153.[2] n.d., “ERSP | Instructor resources.” [Online]. Available
be held in-class during class time without theinstructor or UGTA present.References[1] J. Crowe, R. Ceresola, and T. Silva, “Enhancing student learning of research methods through the use of undergraduate teaching assistants,” Assess. Eval. High. Educ., vol. 39, no. 6, pp. 759–775, Aug. 2014, doi: 10.1080/02602938.2013.871222.[2] T. Filz and R. A. R. Gurung, “Student Perceptions of Undergraduate Teaching Assistants,” Teach. Psychol., vol. 40, no. 1, pp. 48–51, Jan. 2013, doi: 10.1177/0098628312465864.[3] J. Forbes, D. J. Malan, H. Pon-Barry, S. Reges, and M. Sahami, “Scaling Introductory Course Using Undergraduate Teaching Assistants,” SIGCSE 17 Proc. 2017 ACM SIGCSE Tech. Symp. Comput. Sci. Educ. 2017 Pages 657–658.[4] P
support continuing someoutreach methods, streamlining workflows to exclusively use interlibrary loan as a request andfulfillment system, and the need to periodically train interlibrary loan staff. We also recommendthat discoverability of standards in our collection should be improved through catalogingimprovements and creation of finding aids for different audiences.IntroductionWhen designing something for human use, there is often a free-wheeling, creative phase that isunbounded by reality. However, at some point in the implementation of the design, constraintsbecome a part of the creator(s) process, whether it be the laws of physics, available materials, oran agreed-upon convention, ethical limit, or rule. Standards documents represent one form
survey responses, a p-value < 0.005 (= 0.05 / 10 tests)is interpreted as significant.R was used for all analysis [29]. The Internal Review Board approved this study.7. ResultsThe pass rate in Fall 2017 (passive learning textbook) was 78% (57 of 73 students), which wassignificantly lower (p-value = 0.04) than 91% (69 of 76 students) in Fall 2018 (active learningtextbook). Of the students who did not pass, 10 changed majors in Fall 2017, and 2 changedmajors in Fall 2018.Course grades are shown in Table 1. Fall 2018's homework average was 88 out of 100 points,which is interpreted as significantly higher (p-value < 0.001) than Fall 2017's homework averageof 71. Of the grade categories, homework most utilized the textbooks and respective
the data and outcomes from this summer activity will help determine if the winterbreak is a more effective intervention period than the summer, since it happens earlier in thestudents’ academic career.AcknowledgmentThis paper is based upon work supported by the National Science Foundation under Grant No.1430398. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] US Census Bureau, Census Data for Kern County and Bakersfield, California, 2010 census and 2019 estimates.[2] California Assessment of Student Performance and Progress, Kern High School District and California Mathematics
-019- 02434-7. [Accessed Jan. 15, 2020].[3] A.W. Eberhardt, O.L. Johnson, et al. “Team-Based Development of Medical Devices: An Engineering-Business Collaborative”. J Biomech Eng. Vol. 138, No. 7, Jul. 2016. [Online]. https://doi.org10.1115/1.4032805 [Accessed Jan. 31, 2020][4] C. Cohen., D.C. Fehder, et al. “The design of startup accelerators”, Research Policy, Vol. 48, No. 7, pp. 1781-1791, Sep. 2019 [Online]. https://doi.org/10.1016/j.respol.2019.04.003 [Accessed Feb. 3, 2020].[5] Y. Yazdi, S. Acharya. “ A New Model for Graduate Education and Innovation in Medical Technology”. Ann Biomed Eng, Vol. 41, 1822–1833 (2013). [Online]. https://doi.org/10.1007/s10439-013-0869-4. [Accessed Feb. 3, 2020]
had never heard of these goals but were alleager to incorporate the sustainable development applications into their proposed design projects.Each student was asked to conduct research on the UN Goals and then write a brief essay onwhich goal(s) they wanted to incorporate into their proposed design project. Each group thendiscussed the goals selected by the individual team members and decided upon the goals thatwere most applicable to their design project. These results can be found on Table 2. Of the 17UN Goals the engineering students selected eight as illustrated in Figure 2. • Goal 5: Gender Equality • Goal 6: Clean Water and Sanitation • Goal 7: Affordable and Clean Energy • Goal 9: Industry, Innovation and Infrastructure
analogies are bothhighly relatable and quickly sketched. For example, while discussing the types of networkcabling required between various network devices such as routers, switches, hubs, or computersystems, the analogy of a burger, as shown in Figure 2, can be used.Figure 2. Ethernet cabling between network devices shown using the analogy of a burger. "R" fora router, "S" for switch, "H" for hub, "Comp" for computer, and "X" for crossover cables. OtherEthernet cables connecting networking devices are straight-through.Connections between similar network devices (router to router, for example) require theinterchange of the transmit and receive pins on the connectors at each end of the cable. Weachieve this using crossover Ethernet cables. Under
also believe the project quiz assessment strategy may be a viable strategy forsimilar programming courses.References[1] Terenzini, Patrick T., et al. "Collaborative learning vs. lecture/discussion: Students' reported learning gains." Journal of Engineering Education 90.1 (2001): 123-130.[2] Vitasari, P., Wahab, M. N. A., Othman, A., Herawan, T., & Sinnadurai, S. K. (2010). The relationship between study anxiety and academic performance among engineering students. Procedia-Social and Behavioral Sciences, 8, 490-497.[3] Bell, A. E., Spencer, S. J., Iserman, E., & Logel, C. E. (2003). Stereotype threat and women's performance in engineering. Journal of Engineering Education, 92(4), 307-312.[4] Joy, M., & Luck, M. (1999
Attrition Process,” Rev. High. Educ., vol. 23, no. 2, pp. 199–227, 2000.[8] S. K. Gardner, “Student and faculty attributions of attrition in high and low- completing doctoral programs in the United States,” High. Educ., vol. 58, no. 1, pp. 97–112, Nov. 2009.[9] A. E. Austin, “Preparing the Next Generation of Faculty: Graduate School as Socialization to the Academic Career,” J. Higher Educ., vol. 73, no. 1, pp. 94–122, 2002.[10] A. E. Austin, H. Campa, C. Pfund, D. L. Gillan-Daniel, R. Mathieu, and J. Stoddart, “Preparing STEM doctoral students for future faculty careers,” New Dir. …, vol. 2009, no. 117, pp. 83–95, 2009.[11] C. L. Colbeck, “Professional identity development theory and doctoral education
years between 2014 - 2016. Section 6 discusses the most recent changes between2017. Section 7 concludes.2. Other styles of online classesThis section briefly details some of the other styles of online classes that are being used. Theintention of this work is not to say that these other online structures are "worse" than what we aredoing at our university, but rather should be used as a point of comparison for the other optionsof teaching an online class.2.1 Massive Online Open Courses (MOOCs)A MOOC is an online course with the option of free and open registration, a publicly sharedcurriculum, and open-ended outcomes [1]. MOOCs have been around since the late 2000's andstill remain popular today. Universities such as Stanford, Harvard, MIT
- china.com/product/gyonUFwYCrhp/China-50-5000-Gallon-Continuous-Stirred-Tank- Reactor-fixed-speed-or-convertable-speed-.html. (b.) “Chemical reactor,” Wikipedia, 19-Nov-2019. [Online]. Available: https://en.wikipedia.org/wiki/Chemical_reactor. (c.) T. Geisler, “Isothermal CSTR | James C. Sutherland.” [Online]. Available: https://sutherland.che.utah.edu/teaching/educational-apps/isothermal-cstr/. (d.) K. Wittrup, and William Green Jr.. 10.37 Chemical and Biological Reaction Engineering. Spring 2007. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA. [12] M. D. Koretsky, D. M. Gilbuena, S. B. Nolen, G. Tierney, and S. E. Volet
facilitate learning laboratory skills while practicing social distancing.references[1] D. D. Burkey, D. D. Anastasio, and A. Suresh, “Improving Student Attitudes Toward the Capstone Laboratory Course Using Gamification,” ASEE Annu. Conf. Exhib., vol. June 23-26, no. Atlanta, GA, 2013.[2] A. Antonaci, R. Klemke, and M. Specht, “The Effects of Gamification in Online Learning Environments : A Systematic Literature Review,” Informatics, vol. 6, no. 32, pp. 1–22, 2019.[3] R. Alsawaier, “The Effect of Gamification on Motivation and Engagement,” Int. J. Inf. Learn. Technol., 2017.[4] M. R. N. Gari, G. S. Walia, and A. D. Radermacher, “Gamification in Computer Science Education: a Systematic Literature Review,” ASEE
, Inc. (1986). Tomorrow's Teachers: A Report of the Holmes Group. EastLansing, MI: Author. (ED 270 454)[3] A Nation Prepared: Teachers for the 21st Century: The Report of the Task Force OnTeaching As a Profession, Carnegie Forum On Education and the Economy. Washington, D.C:The Forum, 1986.[4] L. S. Lee, “Status and anticipated development of technology teacher education programs inthe United States,” Ph.D. dissertation, The Ohio State University, Columbus, OH, 1991.[5] H. C. Hall and S.W. Miller, “Home economics teacher education into the 21stcentury,” Journal of Home Economics, vol. 81, no. 2, pp. 7-14, 1989.[6] W. Dugger, “Technology Education in the United States,” in XXII International Conferenceon Technological Education in Schools
, the data contained funding information for all doctoral students, including fundingmechanism(s) and total dollar amount of funding by month for each funding mechanism. Weconsolidated the funding categories to Teaching Assistantship (TA), Research Assistantship(RA), Fellowship, and No University Funding. Assistant instructor (AI) positions were classifiedunder TA, and any scholarships the students received were included under Fellowship. Anyfunding received externally from the institution was not included in the dataset. However,government agency funding, such as that through the National Science Foundation (NSF) or theNational Institutes of Health (NIH), are distributed to students through the institution and wouldbe included in the dataset
percentage (25-30%) of the students in a courseexhibit unsatisfactory performance, i.e., they do not meet a minimum required standard, extrameasures must be taken. For example, the instructor may be asked to devise a plan of improvingthe course for its next offering.Table 2. ABET student outcomes [7] and their equivalent CEAB graduate attributesNo. Student outcome Equivalent graduate attribute (s)1. an ability to identify, formulate, and solve complex engineering 2); 1) is implied problems by applying principles of
Journal of Higher Education 2016, 87 (5), 605-634.5. Reith, F.; Seyfried, M., Balancing the Moods: Quality Managers’ Perceptions and Actions Against Resistance. Higher Education Policy 2018, 32 (1), 71-91.6. Kolb, D. M.; Williams, J.; Frohlinger, C., Her Place at the Table: A Woman's Guide to Negotiating Five Key Challenges to Leadership Success. Wiley: 2010.7. Kolb, D. M.; Coolidge, G. G., HER PLACE AT THE TABLE. Journal of State Government 1991, 64 (2), 68-71.8. Kolb, D. M., Her Place at the Table: Gender and Negotiation after Trump. Negotiation Journal 2019, 35 (1), 185-189.9. Slank, S., Rethinking the Imposter Phenomenon. Ethical Theory and Moral Practice 2019, 22 (1), 205-218.10. Silbiger, N. J.; Stubler, A. D., Unprofessional
College (e.g., engineering career fairs) or University, ensuring equal representation on a departmental and/or major level. • When creating opportunities, it is important to understand that larger student attendance does not equate to larger major enrollment (via student retention or addition). Events that feature a smaller, but more focused student audience and events that feature smaller student-to-faculty ratios were more successful in terms of retaining and adding students. • The source(s) of potential added students should be recognized when creating major exploration opportunities. Added CE students most commonly intended to major in mechanical engineering while added EVEG
, mind, experience, and school: Expandededition. National Academies Press, 2000.[4] C.C. Bonwell and J.A. Eison, "Active Learning: Creating Excitement in the Classroom." 1991ASHE-ERIC Higher Education Reports. ERIC Clearinghouse on Higher Education, 1991.[5] M. Prince, "Does active learning work? A review of the research." Journal of engineeringeducation, 93(3), pp.223-231, 2004.[6] C. Brame, Active learning. Vanderbilt University Center for Teaching, 2016.[7] S. Freeman and S.L. Eddy et al, "Active learning increases student performance in science,engineering, and mathematics." Proceedings of the National Academy of Sciences, 111(23),pp.8410-8415, 2014.[8] E. Seymour and N.M. Hewitt, Talking About Leaving: Why Undergraduates Leave theSciences
six topic areas and develop personalized learning plans to overcome these areas ofweakness. These lesson plans consisted of a subset of six learning modules related to theprerequisite material that students were required to complete outside of the classroom. Each topiccovered on the pre-test was associated with a specific module and students were only assignedcomplete the modules associated with corresponding question(s) that they did not answercorrectly. For example, if a certain student correctly answered the questions on descriptivestatistics and summing variables, they were then only assigned the modules associated with thestandard normal distribution, confidence intervals, z-test of equality and chi-square test. Each ofthe modules were
Mechatronics (REM), IEEE, pp. 69-74, 2018.[8] S. N. Cubero, "Developing the Creativity and Design Skills of Mechatronic Engineering Students with Labs and Robot Competitions," Machine Vision and Mechatronics in Practice, J. Billingsley and P. Brett, eds., pp. 287-306, Berlin, Heidelberg: Springer, 2015.[9] C. A. Berry, S. L. Remy, and T. E. Rogers, “Robotics for All Ages: A Standard Robotics Curriculum for K-16,” IEEE Robotics & Automation Magazine, vol. 23, no. 2, pp. 40-46, 2016.[10] S. Nilsson, “Enhancing Individual Employability: The Perspective of Engineering Graduates,” Education + Training, vol. 52, no. 6/7, pp. 540-551, 2010.[11] C. Mohtadi, O. McAree, and J. Scholosser, “Bridging the Skills Gap in STEM
learning objectives, instructional strategies, and assessments forsustainable infrastructure topics. Subsequent problem-based learning activities are being revisedand improved.AcknowledgmentsThis work was funded by the Scholarship of Teaching and Learning grant from the University ofNorth Carolina at Charlotte.References[1] A. Steinemann, "Implementing Sustainable Development through Problem-Based Learning:Pedagogy and Practice," Journal of Professional Issues in Engineering Education and Practice,vol. 129, no. 4, pp. 216-224, 2003, doi: 10.1061[2] S. A. Gallagher, B. T. Sher, W. J. Stepien, and D. Workman, "Implementing Problem-BasedLearning in Science Classrooms," School Science and Mathematics, vol. 95, no. 3, pp. 136-146,1995, doi: 10.1111/j
University.References[1] C. Seemiller and M. Grace, “Educating and engaging the next generation of students,” About Campus, vol. 22, pp. 21-26, 2017.[2] J. Cruz and N. Kellam, “Beginning an Engineer’s Journey: A Narrative Examination of How, When, and Why Students Choose the Engineering Major,” Journal of Engineering Education, vol. 107, no. 44, pp. 556-582, 2018.[3] P. C. Rickes, “Generations in flux- How Gen Z will continue to transform higher education Space,” Planning for Higher Education Journal, vol. 44, no. 4, 2016.[4] L. S. Nadelson et al., “Knowledge in the making: What engineering students are learning in makerspaces,” in Proceedings, 2019 ASEE Annual Conference and Exposition, June 2019, Tampa, FL.[5] R. M. Carbonell, M. E
]. Computationalthinking (CT) as defined by Jeannette Wing, who first brought it to the attention of the computerscience education community in 2006 [2], and later refined the definition, “is the thought processesinvolved in formulating a problem and expressing its solution(s) in such a way that a computer-human or machine-can effectively carry out” [3]. In other words, is a methodology that can beemployed to plan and formulate the solution to a problem so that the steps necessary can be carriedout by either a computer or a person. One characterization that is used to define the CT involvesthe following four core cornerstones: 1) decomposition, 2) pattern recognition, 3) abstraction, and4) algorithms [4]. Decomposition involves breaking the original problem into