wallmounted Microsoft Surface Hub. This setup was similar to the white board setup used by theinstructor initially, where the person solving the problem is visible on camera. However, theSurface Hub allowed for tablet computer like functionality in scrolling, zoom, and in copyingand pasting. This setup was chosen over a screen capture setup the instructor had used for morerecent videos, as it was hypothesized that having the student faces visible would make studentidentity a more visible part of the video. Figure 1: Example screenshots of an instructor generated screen capture video (left) and a student generated Surface Hub video (right)Over the course of the 2021-2022 academic year, the instructor and students were able to
outcomes and retention, noting “students who are activelyinvolved in learning activities and spend more time on task, especially with others, are morelikely to learn, and in turn, more likely to stay” (p. 2). In 2014, a meta-analysis quantified theimpact of AL on student learning, concluding that students who were actively engaged in theirlearning environments had increases in learning at 0.5 standard deviations higher than theirpassive peers (Freeman et. al, 2014).However, despite over two decades of evidence which support that AL approaches are moreeffective than lecture-based approaches (Du Plessis, 2020), there is still not widespreadimplementation of AL strategies (Essop & Beselaar, 2022). Multi-faceted barriers impedecurricular change
); magnetism (magnetic force, magnetic field, electromagnetic induction, andinductance) and alternating current circuits.The group selected for analysis was an online course of 58 engineering students held during thethird trimester of 2022. The course website, hosted on the LMS platform, featured study material(lecture notes, videos of solved exercises from a YouTube channel, and a guide detailingproposed exercises), arranged by units and assigned every week. The course also included aweekly synchronous online session of 90 minutes that consisted of a brief review of key contentand a series of exercises. An additional exercise session was provided on Saturdays. All sessionsabove were recorded and hosted in the pertinent Virtual Classroom.The summative
preference for either AE or RO and then for either CE or AC.In the summer of 2022, an engineering research project was undertaken by two undergraduatestudents, a professor and a mentor who is a senior-level practicing engineer. The researchproject focused on development of a strategy to inform engineering designers of the benefits, ordrawbacks, of engaging in either digital prototyping or physical prototyping (or both). Theproject was funded by industry and the college. The project ran for a ten-week summer session,but then continued after that in a less aggressive manner. That prototyping oriented researchproject functions as the testbed for the Kolb Method research reported on here. The initial ideafor this Kolb Method work was highlighted as part
Paper ID #37461International Division - Entrepreneurship & EngineeringInnovation Division Towards a new type of hybrid modecollaboration in Academia-Industry Hackathons.Yulia Skrupskaya SAP University Alliances, National Research University Higher School of EconomicsVictor Taratukhin (Next-Gen Network Global Projects and RegionalDirector for Silicon Valley/US West)Yury V. Kupriyanov (National Research University Higher School ofEconomics)Joerg Becker © American Society for Engineering Education, 2022 Powered by www.slayte.comInternational Division - Entrepreneurship &
in undergraduate education. © American Society for Engineering Education, 2022 Powered by www.slayte.com Enhanced Learning of Load Path in a 3D Structural System using Virtual RealityIntroductionVirtual reality (VR) has evolved from being used only in video-games to be used as a powerfuleducational tool in the areas of engineering education. It us useful due to its ability to recreate thereal world in a costly efficient manner [1]. Research [2, 3, 4] has shown that the use of VR inengineering education has improved the learning process and increased the motivation of studentsof understanding new concepts, developing a better ability
Education, 2022 Powered by www.slayte.comLessons Learned from Collaborative Initialization of Machine Learning Classand STEM Contest with University and Industry PartnershipIntroductionUniversity and industry partnerships have been effectively providing mutual benefits to bothparticipating universities and industries, and the real-world engineering problems and networkingopportunities provided during collaboration give students unique learning experiences [1-4].Various models and frameworks in university and industry partnership have been introduced withdifferent collaborations [5-7]. Small-sized schools in particular benefit greatly from partnerships[8]. Some partnerships target not only higher education but
engineers, specifically through the development and application of the Contextual Engineering Leadership Development framework. Bringing together her work in engineering leadership development, curriculum design, and collaborative design, her current focus is on developing engineering instructional faculty as leaders of educational change at Hispanic-Serving Institutions. Dr. Kendall is the Division Chair of the Engineering Leadership Development (LEAD) Division of the American Society of Engineering Education and a Technical Program Chair for the Frontiers in Education Conference 2022.Sebastian Palacios Research Assistant © American Society for Engineering Education, 2022
or strong preference) as well as some language written by Felder and Soloman in the“learning styles and strategies” document accompanying the questionnaire. Students and facultywere recruited via email (with the link to the survey), in-class announcements and flyers (with aQR code linking to the survey) during the last week of August 2022. Every faculty and student inthe department was eligible to take the survey. The online survey stayed open for four weeks.Valid responses from 23 faculty members and 38 undergraduate students in the BiologicalEngineering program were received.The survey data was downloaded from Qualtrics and analyzed using R [26]. For each group, themean score, median score, standard deviation, and distribution of scores
Paper ID #39334A Transformative Learning Approach for an Introduction to EngineeringCourseProf. Timothiax Shoushounova, Keiser University Professor, Applied Engineering Department (2022-) Keiser University Flagship Campus, West Palm Beach, FL 33409 Professor, Engineering and Technology Department (2013-2019) University of Wisconsin- Stout, Menomonie, WI 54751 M.S. in Manufacturing Engineering (2013) B.S. in Manufacturing Engi- neering (2007)Dr. Ali Zilouchian, Florida Atlantic University Dr. Ali Zilouchian is currently the Director of the Applied Engineering Program and a Research Center Director at Keiser
undergraduate student studying Aerospace and Mechanical engineering. I contribute to two separate research projects and participate in multiple student organizations. My interest include flight dynamics, aircraft design, propulsions (aircraft and rocketry), and bringing positive opportunities to others.Antonio Garcia (Associate Dean of Engineering) © American Society for Engineering Education, 2022 Powered by www.slayte.com Engineering Education Enrichment (e3) Initiative: A Co-Curricular Program Intended to Improve Persistence and Career Success for Low-Income and First-Generation Engineering StudentsAbstract
Harvesting using Raspberry PiAbstractDue to advances in digital technology, cyberattack grows faster than other crimes. According thecybersecurity statistics for 2020, Gartner forecasts the worldwide cybersecurity spending reachesup to $133.7 billion in 2022. As the growth of cyber threats, the practical cybersecurity educationis gaining its importance. Hands-on experience through the lab exercise becomes crucialcomponent because students tend to learn thing better when observing how practically it’s beenapplied in real system. The most common attacks are phishing and social engineering, whichmore than 60% of business experienced in 2018. Recently, the phishing attack in Wi-Fi,“Wifiphisher”, which utilizes automated phishing agent to public Wi-Fi to
figures for occupational minimum education requirements,wages, average hours worked per week for workers over age 16 who usually work full time, andthe percent of female workers for particular occupations. The median years of tenure withcurrent employer was reported in January 2014. Every two years, the BLS projects percentgrowth for occupations, and the number of jobs expected to become available due to growth andreplacement over the next ten years; most recent estimates are for 2012-2022. Similarly, thedistribution of computing jobs across industries is projected for 2022.Selection of Occupations for ComparisonsThe 2010 Standard Occupational Classification (SOC) system used by the BLS utilizes 4 levelsof occupations: major group, minor group
GrowingOverall, the engineering occupations are projected to add 136,500 jobs through 2022. They willcontinue to be needed to design, build, test, and improve manufactured products. However,during this time, increasing employment of engineers in service industries, research anddevelopment, and consulting should generate most of the employment growth [1].The 2015 National Science Foundation’s Survey of Graduate Students and Post-doctorates inscience and engineering [2] found that from 2008 to 2013 STEM graduate students in the U.S.who were U.S. citizens or permanent residents rose 3.1%. Of these, 25.8% were Hispanic and7.8% were African-American.“Finding Your Workforce: Latinos in Science, Technology, Engineering, and Math (STEM)” [3]2015 report found
Department of Workforce Development (DWD, 2014), it is projectedthat up to 123,660 jobs in STEM fields will need to be filled by 2022 within the state. . Thisproject could be a big contributor of making graduates ready for jobs in STEM areas by year2024.The DWD projects health and safety engineers (excluding mining safety) to have a significantincrease of 15.1% by 2022 [1]. Also, the U.S. Bureau of Labor Statistics (BLS) has projectedthat the safety jobs (all occupations within this category, including mining safety) will have46,507 job openings due to growth and replacement needs between 2014-2024. As a result, theBLS expects the total jobs in all occupations of safety to reach 160,329 by 2024. Accordingly,the typical entry-level education for
2 2022 4 2023 5 MIT major Bioengineering 2 Biology 2 Computer science 5 Mechanical engineering 6 NEET thread Autonomous Machines 10 Living Machines 6 53.2. Career readiness3.2.1. Development of 21st century skills at MIT and in NEETTable 4 summarizes participants’ self-reported degree of skill development at MIT. 6Table 4
and innovation (AIK&I) for sustainable development in Africa," African Journal of Science, Technology, Innovation and Development, vol. 14, no. 5, pp. 1313- 1326, 2022.[3] F. S. Binze Bi Kumbe, "A decolonial study of indigenous teaching and learning methods of knowledge transfer in Gabon’s rural communities," 2022.[4] H. O. Kaya and Y. N. Seleti, "African indigenous knowledge systems and relevance of higher education in South Africa," International Education Journal: Comparative Perspectives, vol. 12, no. 1, 2013.[5] C. Khupe and M. Keane, "Towards an African education research methodology: Decolonising new knowledge," Educational Research for Social Change, vol. 6, no. 1, pp. 25-37, 2017
://mbcet.wordpress.com/2019/04/03/the-aspiring-minds-national-employability- report-ner-2019-62-engineers-want-to-work-in-a-large-company/[12] D. J. Deming, “The Growing Importance of Decision-Making on the Job”.[13] A. Y. Md Yasin, W. M. H. Wan Mohd Shaupil, A. M. Mukhtar, N. I. Ab Ghani, and F. Rashid, “The Englisg Proficiency of Civil Engineering Students at a Malaysian Polytechnic,” ASS, vol. 6, no. 6, p. p161, May 2010, doi: 10.5539/ass.v6n6p161.[14] M. D. T. Selvi and D. P. Saranya, “The Difficulties Encountered by English Professors when Attempting to Teach Writing Skills to Freshman Engineering Students,” Journal of Language and Linguistics in Society(JLLS) ISSN 2815-0961, vol. 2, no. 05, Art. no. 05, Sep. 2022, doi: 10.55529
of Vulnerable Populations during Service Disruptions,” Nat. Hazards Rev., vol. 21, no. 4, p. 04020034, 2020, doi: 10.1061/(asce)nh.1527-6996.0000401.[4] National Research Council, Disaster Resilience. Washington, D.C.: National Academies Press, 2012.[5] R. Rahat, P. Pradhananga, C. Calle Muller, and M. ElZomor, “Multi-criteria evaluation of Safe-to-Fail flood solution alternatives for developing resilient coastal cities,” Sustain. Resilient Infrastruct., vol. 8, no. 6, pp. 610–625, 2023, doi: 10.1080/23789689.2023.2257503.[6] National Academics, “Equitable and Resilient Infrastructure Investments,” The National Academies Press, Washington, DC, 2022.[7] R. Rahat, P. Pradhananga, and M. ElZomor
responses.The systematic review process can be divided into smaller tasks, and some of them canreasonably be targeted for automation, like screening papers for inclusion or extracting data fromthem. Software such as Covidence is already aiding researchers in these areas. However, a 2020review by van Dinter et al.[19] examined 41 systematic reviews using some form of automationand found that only 7 included automating the search query creation process. A 2021 study foundthat text-mining tools could significantly reduce the time spent creating queries, though it alsofound a decrease in query sensitivity [20]. Furthermore, a 2022 review of artificial intelligenceused in systematic reviews, by Blaizot et al. [21] found 12 health science studies, yet
National Science Foundation under IUSE (Grant# 2120252).References[1] E. D. Prada, M. Mercedes, and M. Pino-Juste, "Teamwork skills in higher education: Is university training contributing to their mastery?," Psicologia: Reflexao e Critica, vol. 35, 2022.[2] L. Riebe, A. Girardi, and C. Whitsed, "A systematic literature review of teamwork pedagogy in higher education," Small Group Research, vol. 47, no. 6, pp. 619-664, 2016.[3] L. Springer, M. E. Stanne, and S. S. Donovan, "Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta- analysis," Review of educational research, vol. 69, no. 1, pp. 21-51, 1999.[4] M. Alqassab, J. W. Strijbos, E. Panadero, J. F. Ruiz, M. Warrens
Courses,” Proc. Can. Eng. Educ. Assoc. CEEA, Nov. 2022, doi: 10.24908/pceea.vi.15858.[9] A. Anderson and E. Date-Huxtable, “ICT-assisted multi-campus teaching: Principles and practice to impact equity of experience for students,” in Ascilite, 2011, pp. 85–92. Accessed: Jan. 26, 2024. [Online]. Available: https://nova.newcastle.edu.au/vital/access/services/Download/uon:16101/ATTACHMENT01[10] K. Kozan and J. C. Richardson, “Interrelationships between and among social, teaching, and cognitive presence,” Internet High. Educ., vol. 21, pp. 68–73, Apr. 2014, doi: 10.1016/j.iheduc.2013.10.007.[11] J. Jiang, L. Zhao, and J. Qian, “On education quality control issues for Sino-France hybrid engineer diploma,” in IEEE EDUCON 2010
CITITraining for Social & Behavioral Researchers. The study had a total of 23 participants, brokendown into 6 Freshmen, 7 Sophomores, and 10 Seniors. Each group had 2 or 3 participants,corresponding to 3 freshmen groups, 3 sophomore groups, and 4 senior groups. All participantswere recruited through the university's engineering program over the course of two semesters:Fall 2021 and Spring 2022. Participants were recruited by members of the research teamspeaking during relevant classes and giving a general explanation of the project and expectationsupon volunteering to participate. If students were interested, they were asked to sign a consentform either directly in class or via email. The classes that were spoken to were ME 187,Graphical
and communicated with the Raspberry Pi with negligible communicationlatency. In addition, the simulation platform produced outputs identical to those generated byMATLAB as a benchmark. 15References[1] N. Brayanov and A. Stoynova, “Review of Hardware-in-the-Loop – A Hundred Year Progress in the Pseudo-Real Testing”, Electrotechnica & Electronica (Е+Е), vol. 54, pp. 3-4, 2019.[2] F. Mihalič, M. Truntič, and A. Hren, “Hardware-in-the-Loop Simulations: A Historical Overview of Engineering Challenges”, Electronics, vol. 11, no. 15, pp. 2462, 2022.[3] J. Sobota, R. PiŜl, P. Balda, and M. Schlegel, “Raspberry Pi and Arduino Boards in Control Education”, IFAC Proceedings, vol. 46, no. 17
-service science and mathematics teachers’ engineering and technology content and pedagogical knowledge (Evaluation). In 2021 ASEE Annual Conference & Exposition Proceedings, 2021. [5] M. Alaqra, B.Yalvac, M. Johnson, E. Cevik, M. Kuttolamadom, J. Porter, and J. Whitfield. Students’ lived experiences with the integrated STEM activities. In 2022 ASEE Annual Conference & Exposition Proceedings, 2022. [6] B. Yalvac, A. B. Oluwatosin, E. S. Madison, R. S. Fuchs-Young, G. M. Elizondo, C.T. Umah, T. Sherron, J. T. Lightfoot, and C. L. Cannon. Promoting the STEM pipeline and enhancing STEM career awareness through
States. In 2022-2023, the institution awarded 16.1% (n = 855) of its degreesto STEM majors. Currently, STEM degree programs comprise 13.1% (n = 2,775) of the totalenrollment for fall 2023 [5]. The HAIS program was a structured learning community that operated during theacademic years from 2018 to 2023. Support for HAIS scholars included: weekly seminars, studyhalls, research experiences, faculty mentorship, and social activities. Students in the HAISprogram were in one of five degree areas: Chemistry, Computer Science, Geology, Mathematics,and Physics.II. Review of Literature Learning communities, like the HAIS program, have been shown to be effective forretaining students within STEM degree programs [6], [7]. These types of
, “Accelerating materialsproperty predictions using machine learning,” Sci. Rep. 3, 2810, 2013.[9] C. Wang, X.P. Tan, S.B. Tor, C.S. Lim, “Machine learning in additive manufacturing: State-of-the-art and perspectives,” Additive Manufacturing, 36, 101538, 2020.[10] C. Lui, L. Le Roux, C. Körner, O. Tabaste, F. Lacan and S. Bigot, “Digital Twin-enabledCollaborative Data Management for Metal Additive Manufacturing Systems,” Journal ofManufacturing Systems, Vol 62, pp. 857-874, 2022.[11] A.M. Khorasani, I. Gibson, A. Ghasemi and A. Ghaderi, “Modelling of laser powder bedfusion process and analysing the effective parameters on surface characteristics of Ti-6AL-4V,”International Jouranal of Mechanical Sciences, 168: 1–14, 2020.[12] Z. Lv, S. Xie, “Artificial
engineering and educational perspective, while my co-author, Langdon, leveraged hisparticle science expertise to increase the rigor of the technical content.Langdon Feltner is a PhD candidate in materials engineering, completing his bachelor’s inmaterials engineering at a large R1 institution in 2022. My expertise is in particle science andtechnology and computational science, with my current research focuses on methods for buildingFinite Element Analysis (FEA) informed machine learning models and implementing thesemodels in a digital twin framework. My passion for teaching and research was one of mymotivations for performing this literature review, specifically using my rich understanding ofparticle science to add technical nuance to the analysis
combustion engines through Computational Fluid Dynamics (CFD) simulations to improve fuel economy and emissions. He is currently a senior engineer in Combustion Research at Cummins Inc., where in addition to his primary role in developing future engine systems, he leads a planning team of Cummins engineers in organizing an after-school STEM Outreach Program at Girls Inc. to encourage girls to pursue STEM Careers. ©American Society for Engineering Education, 2024 Development and Implementation of K-12 STEM Outreach Programs in Industry and Academia: Successes, Challenges, and Lessons LearnedIntroductionAccording to the U.S. Department of Labor (2022), the number of job openings in STEM(science
, forthcoming.[5] M. G. Pendás, “Labor Unimagined,” Journal of the Society of Architectural Historians vol. 11, no. 2, pp. 148-151, June 2022.[6] S. Vakil, M. Ganjavi, and M. Khanlarzadeh, Revolutionary Engineers: Learning, Activism, and Politics at Aryamehr University of Technology (1966-1979). Cambridge, MA: MIT Press, forthcoming.[7] E. Blue, M. Levine and D. Nieusma, Engineering and War: Militarism, Ethics, Institutions, Alternatives. Berlin: Springer, 2013.[8] J. R. Thelin, A History of America Higher Education. Baltimore, MD: Johns Hopkins University Press, 2004.[9] J.C. Lucena, Defending the Nation. Lanham, MD: University Press of America, 2005.[10] J. Holmwood, “Race and the Neoliberal University: Lessons from