comparison to nationalenrollment data for civil engineering. It was not the intent of this study to further investigateadditional demographic influences.The authors are interested in pursuing additional research questions by using the same data setsupplemented with additional years. In particular an additional study looking at the availableelectronic copies of student essays using keyword search software would assist in understandingspecific reasoning behind student motivations.The views expressed in this work are those of the authors and do not necessarily reflect theofficial policy or position of the United States Military Academy, Department of the Army, DoD,or U.S. Government.References[1] Zahorian, S., Elmore, M., and Temkin, K. J., Factors
Jared Markunas who assisted in the development of the survey that will inform the engagementguide prototype.References[1] D. R. Fisher, A. Bagiati, and S. Sarma, “Developing Professional Skills in Undergraduate Engineering Students Through Cocurricular Involvement,” J. Stud. Aff. Res. Pract., vol. 54, no. 3, pp. 286–302, Jul. 2017, doi: 10.1080/19496591.2017.1289097.[2] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, teamwork, professionalism, lifelong learning, and reflective behavior skills,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Madrid, Spain, Oct. 2014, pp. 1–7. doi: 10.1109/FIE
-9304- 92. K. S. McClain and A. Perry (2017) "Where Did They Go: Retention Rates for Students of Color at Predominantly White Institutions," College Student Affairs Leadership: Vol. 4: Iss. 1, Article 3.3. F. A. Freitas & L. J. Leonard (2011). “Maslow's hierarchy of needs and student academic success.” Teaching and Learning in Nursing, 6(1), 9–13. https://doi.org/10.1016/j.teln.2010.07.0044. T. L. Strayhorn (2019). College students' sense of belonging: A key to educational success for all students. Routledge, an imprint of the Taylor & Francis Group, pg. 4.5. S. Al-Qudah, J. Davishahl, E. Davishahl & M. Greiner (n.d.). “Investigation of sense of belonging to engineering in undergraduate
cowling. These results from Ansys Polyflow are very similar in appearance to thesequence of pictures of the thermoforming process as shown experimentally in Figure 6b). Weobserve that the draping process is almost completed after 0.13 s and that the change in thicknessup to 0.6 s is minor and mostly occurs around the base of the cowl. In Figure 7c) is the drapingprocess for the creation of the instrument panel shown. The thickness of the plastic sheet on topof the instrument panel does not change from the thickness of the original undeformed sheet. Thecircles on the instrument panel are clearly developing over time and at 1 s the circles are fullydeveloped.Figure 7b) Thickness contour plots during draping process for the cowl.Figure 7c) Thickness
mixture of professional backgrounds and experiences. Throughout the semester, thestudents are expected to show evidence of significant individual contributions to the team efforts,consideration related to design’s effectiveness, material selection, ergonomics, safety, cost, effecton the environment, ethics, ease of production, etc. The course offers the perfect platform forimplementing the Engineering Unleashed’ s mission to graduate engineers with anentrepreneurial mindset (EM) and KEEN’s mission to teach technical skills while fosteringcuriosity, connections, and creating value [1], [2].As part of the course, all teams are required to make two presentations to their peers and thecourse instructor, and to submit a Project Proposal and a Final
O. Barambones, "A Multidisciplinary PBL Approach for Teaching Industrial Informatics and Robotics in Engineering," IEEE Transactions on Education, vol. 61, no. 1, pp. 21-28, 2018, doi: 10.1109/te.2017.2721907.[3] H. G. Denton, "Multidisciplinary team-based project work: planning factors," Design Studies, vol. 18, no. 2, pp. 155-170, 1997.[4] J. K. L. Leung, S. K. W. Chu, T.-C. Pong, D. T. K. Ng, and S. Qiao, "Developing a Framework for Blended Design-Based Learning in a First-Year Multidisciplinary Design Course," IEEE Transactions on Education, vol. 65, no. 2, pp. 210-219, 2022, doi: 10.1109/te.2021.3112852.[5] B. Tiwari, P. Nair, and S. Barua, "Effectiveness of Freshman Level Multi-disciplinary Hands
the section. https://peer.asee.org/38437.[3] Hagigat, C. K. (2021, March), Using MUTISIM software to reinforce use and application of Norton’s theory in electrical circuits Paper presented at ASEE 2021 Gulf-Southwest Annual Conference, Waco, Texas. https://peer.asee.org/36413.[4] Poel, S., & Prica, T., & Sergeyev, A. (2021, December), Complex Modeling for Feed Forward Control System for Furnace Temperature Optimization Paper presented at 2020 CIEC, Virtual. 10.1Ericson, T. M. (2021, July), Lessons for Effective Use of MATLAB and Simulink to Explore Advanced Topics: Application in a Vibrations Course Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org
general knowledge of the aspects of Industrial Automation, and an understanding of logistical math, but not as in depth as I deem necessary for having an expert level understanding.” o Student F: “I understand how the industrial robot[s] operate, but [am] still having problem[s] grasping how it fully automate[s].” There was a diverse set of feedback regarding which aspects they felt most comfortable. Some students preferred the RARs along with programming, while others enjoyed the textbook assignments. Examples include: o Student G: “Coming out of the first robotics class I felt that I had a decent understanding of what
/.[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
B6 1/42 B8 -1/30 B10 5/66 B12 -691/2730 B14 7/6 etc.To illustrate the usefulness of his formula, Bernoulli computed the value of s 10(1000) with littleeffort in less than “half a quarter of an hour” [Smith]. He computed s10(1000) = 91409924241424243424241924242500To achieve this end, he needed to find B0 up to B10. One can observe that the Bernoullinumbers were at one time of great value because they shortened calculations of severalmathematical functions when lengthy computations were done by
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
. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.Byars-Winston, A., & Dahlberg, M. L. (2019). The Science of Effective Mentorship in STEMM. Consensus Study Report. National Academies Press. 500 Fifth Street NW, Washington, DC 20001.Eby, L. T., Rhodes, J. E., & Allen, T. D. (2007). Definition and evolution of mentoring. The Blackwell handbook of mentoring: A multiple perspectives approach, 7-20.Fisher, D. R. (2013). Educating engineers for the 21st century: a framework for skill development through co-curricular and extracurricular involvement (Doctoral dissertation, Massachusetts Institute of Technology).Fisher, D. R., Bagiati, A., & Sarma, S. (2014). Fostering 21st
question is “Whichphase(s) are present at point G and in what fractions?” A figure would be included in this questionin which students interpret and use to answer the question.In the traditional class, there were three high stake exams which means a student’s final gradein the class relied heavily on these exams. The percentage of each test in the traditional classcontributed to 75% of total grade, 25% for each of the three exams. Figure 4 shows thepercentage of incorrect questions according to type, split up by the three different exams fromthe traditional class. When observing the total percentage of questions wrong, Figure 4 showsthat students struggled the least with Exam 1, the second least with Exam 2, and the most withExam 3. Figure 4
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
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
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
. 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
score: 147.00 / 205 (71.71%) 139.00 / 195 (71.28%) Mode score: occurred 22 time(s) occurred 20 time(s) Standard deviation: 23.15 25.48 Reliability coefficient (KR21): 0.9264 0.9428 Range: 205 193 Interquartile range: 29 33Table 2. Descriptive/demographic data for the ADDA AAD certification exam.The exam is a criterion referenced exam in that the exam taker must respond correctly to 300 ofthe 400 items (75%) to be certified. Achieving the 75% threshold is not require for each of the 20competencies, however. For program assessment, the exam can be used as a
:(please include the specific geographic location(s))What motivated you in college? What motivates you at ? What mattersWhat did you aspire to become? to you?What mattered to you? What do you aspire to become? What was it like coming to the fromWhat was it like coming to from your your high school and/or community, socially andhigh school/community socially and academically? How academically? How did you manage each aspect of thedid you manage each aspect of the transition
color ball in the same color or creating tube for each animal. patterns 1Links to the activities which include pictures and descriptions will be provided when paper is unblinded. References[1] J. Wing, “Computational Thinking,” Commun. ACM, vol. 49, no. 3, pp. 33–35, 2006.[2] W. Sung, J. Ahn, and J. B. Black, “Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives ThroughEmbodiment in Mathematics Education,” Technol. Knowl. Learn., vol. 22, no. 3, pp. 443–463, 2017.[3] S. P. Jones, “Computing at school in the UK : from guerrilla to gorilla,” Commun. ACM, no. April, pp. 1–13, 2013.[4] A. Dasgupta, A. M. Rynearson, S. Purzer, H. Ehsan, and M. E. Cardella
coordinatestudent travel to non-U.S. locations for periods of several weeks to a semester for immersiveexperiences under the mentorship of appropriate collaborators.Historically, the IRES program has funded international cohort experiences where IRES studentsare recruited and prepared by the U.S. PI(s), then travel to the foreign site to conduct researchunder the direct supervision of foreign research mentors. Although the National ScienceFoundation amended its award process in 2018 to include two additional types of IRES programsaimed at graduate students, this work-in-progress paper focuses solely on the international cohortexperience, what the NSF now calls Track I: IRES Sites (IS). This model engages a group ofundergraduate and/or graduate students in
curricular and syllabi changesReferences[1] S. Schrader, W. M. Riggs and R. P. Smith, “Choice over Uncertainty and Ambiguity inTechnical Problem Solving,” Journal of Engineering and Technology Management, vol.10,1993, accessed on Nov. 30, 2019,https://dspace.mit.edu/bitstream/handle/1721.1/46980/choiceoveruncert00schr.pdf?s[2] N. J. McNeill, E. P. Douglas, M. Koro-Ljungberg, D. J. Therriault and I. Krause,“Undergraduate Students Beliefs about Engineering Problem Solving,” Journal of EngineeringEducation, vol. 105, no. 4, pp. 560–584, 2016[3] D. Jonassen, J. Strobel and C. B. Lee, “Everyday problem solving in engineering: Lessons forengineering educators,” Journal of Engineering Education, April 2016, pp 139-151[4] H. Simon, “The structure of ill
models, broadening participation initiatives, and S-STEM and LSAMP programs.Dr. Catherine Mobley, Clemson University Catherine Mobley, Ph.D., is a Professor of Sociology at Clemson University. She has over 30 years experience in project and program evaluation and has worked for a variety of consulting firms, non-profit agencies, and government organizations, including the Rand Corporation, the American Association of Retired Persons, the U.S. Department of Education, and the Walter Reed Army Institute of Research. Since 2004, she been a member of the NSF-funded MIDFIELD research project on engineering education; she has served as a Co-PI on three research projects, including one on transfer students and another on
Education and a member of the Physics Department.Dr. Daniel Almeida, California Polytechnic State University, San Luis Obispo Dr. Daniel Almeida is an Associate Professor in Higher Education Counseling/Student Affairs at Califor- nia Polytechnic State University, San Luis Obispo. He is Lead Principal Investigator for the NSF-funded California State University Underrepresented Minority STEM Faculty Alliance for Graduate Education & the Professoriate (AGEP) Model: A Culturally-Informed Strengths-Based Approach to Advance Early- Career Faculty Success. Dr. Almeida is also Co-Principal Investigator for the NSF Scholarships in Sci- ence Technology Engineering & Mathematics (S-STEM) grant, Engineering Neighbors: Gaining
NationalAcademies Press, 2015.[6] J. Smith and L. Nadelson, “Finding Alignment: The Perceptions and Integration of the NextGeneration Science Standards Practices by Elementary Teachers,” School Science &Mathematics, 117(5), 194–203, 2017.[7] Next Generation Science Standards. Ngss.data.org. https://ngss.nsta.org/About.aspx(Accessed March 28, 2021).[8] S.W. Bowers, T.O. Williams Jr., and J.V. Ernst, “Profile of an Elementary STEMEducator,” Journal of STEM Education: Innovations & Research, 21(1), 51–57, 2020.[9] S.M. Nesmith and S. Cooper, “Engineering process as a focus: STEM professionaldevelopment with elementary STEM‐focused professional development schools,” SchoolScience & Mathematics, 119(8), 487–498, 2019. https://doi
- weather-permitting months. In figure 2, the location search to limit the algae’s growth and protect the lake. The Scholars of Excellence in Engineering and Computer Sciences (SEECS), a multi-semester program at Gannon University supported by a S-STEM grant of these buoys around Presque Isle State Park are from the National Science Foundation, has partnered with the Regional Science Consortium to engineer a mapped with a satellite image of Lake Erie. submerged device that extends the data collection timeline and stores water quality data from Lake
reflection in classroom activities. Turns andMany students enter the engineering disciplines unprepared colleagues define reflection as “an intentional and dialecticalto be successful in the rigors of engineering academia. thinking process where an individual revisits features of anEngineering student retention continues to be a significant experience with which he/she is aware and uses one or morearea of research, partially due to lack of academic preparation lenses in order to assign meaning(s) to the experience that canor skill when entering a higher education institution. One guide future action (and thus future experience).” [10]. Turnstheoretical framework that describes the needed skills to et al
)haveworkedcollaborativelytoimproveinstructionmethodsusedinsevengatewaySTEMcoursesidentifiedtohavehighfailureratesacrossthecampuses.Theflippedclassroommodelisbeingphasedinoverthreeyearsonthecampusesthroughcollaborativeeffortsbyfacultytodevelopmaterialstosupportknowledgeacquisitionoutsideofclasstimeandengagestudentsinhigher-orderapplicationssuchasproblemsolvingandpeerinstructionduringclasstime.Resultsshowincreasedpassratesforstudentsinmostflippedclassroomsectionswhencomparedtosectionstaughtwithtraditionalmethods.FirstsemesterresultsforYear2coursesindicatingapositiveimpactonstudentachievement,thoughresultsarepreliminaryandwillbevalidatedwithfurtherdatacollectioninsubsequentsemesters.Grantactivitiesarecurrentlyfocusedondevelopingcoursematerialsfor3additionalgatewaycourses,conductinganextensivestudyontheinfluenceofflippedclassroompedagogyinCalculusIcourses,andcreatingacultureofchangeacrossthecampusesbyprovidingtrainingandfundingforfacultyinsupportoftheirdevelopmentofflippedclassroommaterialsinavarietyofSTEMcourses. This project is supported through the First in the World Program at SJSU which is funded through theU.S. Department of Education (P116F150112) 1 Department of Education. First in the World Program. https://www2.ed.gov/programs/fitw/index.html2 SJSU’s Four Pillars of Student Success. http://www.sjsu.edu/provost/docs/Student_Success_Plan_5-5-16.pdf3 Flumerfelt, S., & Green, G. (2013). Using lean in the flipped
versus attentively viewing the videos and taking notes likein a regular classroom setting. Several traditional students mentioned that after the midtermexamination, they had to modify their approach due to the online nature of the course. Spring2017 is providing the first opportunity to compare online and on-campus student performance inEEE 460 for identical term lengths, specifically, a full 15-week semester.References1. Online Programs Accredited by ABET, Accreditation Board for Engineering and Technology (ABET), http://www.abet.org/accreditation/new-to-accreditation/online-programs/, accessed January 13, 2017.2. S. M. Phillips, M. Saraniti, “A fully online accredited undergraduate electrical engineering program,” ASEE
right of center) directed at optical detectors with audio amplifier andspeakers located to the left and right outside of the image. Spring 2017 Mid-Atlantic ASEE Conference, April 7-8, 2017 MSUReferences. 1. James L.Huff, Carla B. Zoltowski, and William C.Oakes, “Preparing Engineers for the Workplace through Service Learning: Perceptions of EPICS Alumni,” Journal of Engineering Education (January 2016): 43 – 69. 2. John S. Lamancusa, Jose L, Zayas, Allen L. Soyster, Lueny Morell, and Jens Jorgensen , “The Learning Factory: Industry-Partnered Active Learning,” Journal of Engineering Education (January 2008): 5 - 11. 3. Alan J. Dutson, Robert H. Todd, Spencer P. Magleby, Carl D. Sorensen, “A Review of