Paper ID #40400Engineering Application of Artificial IntelligenceProf. Shahab D. Mohaghegh, West Virginia University Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Machine Learning in the Exploration and Production industry, is a Professor of Petroleum and Natural Gas Engineering at West Virginia University and the president and CEO of Intelligent Solutions, Inc. (ISI). He is the direc- tor of WVU-LEADS (Laboratory for Engineering Application of Data Science). Including more than 30 years of research and development in the petroleum engineering application of Artificial Intelligence and
keying (BPSK, and to add a power amplifier and antenna to create a model transmitter, all as part of his senior project.- Using an RTL-SDR and Matlab software platform a communication lab manual was prepared. The student went into the details of preparing documentation on hardware requirements and how to install the software needed and get everything ready for experimentation, and a set of laboratory documentations for: displaying the RF spectrum, frequency tuning, amplitude modulation, frequency modulation, digital modulation methods such as BPSK, QPSK and 16-QAM. The student expressed interest in using the background he developed in using the SDR for a future senior project.- Serial display voltage monitor. The project
Chemistry Lecture Course. Journal of Chemical Education, 97(9), 2565- 2572.13. Rodríguez Núñez, J., & Leeuwner, J. (2020). Changing Courses in Midstream: COVID-19 and the Transition to Online Delivery in Two Undergraduate Chemistry Courses. Journal of Chemical Education, 97(9), 2819-2824.14. Simon, L. E., Genova, L. E., Kloepper, M. L., & Kloepper, K. D. (2020). Learning Postdisruption: Lessons from Students in a Fully Online Nonmajors Laboratory Course. Journal of Chemical Education, 97(9), 2430-2438.15. Vielma, K., & Brey, E. M. (2021). Using Evaluative Data to Assess Virtual Learning Experiences for Students During COVID-19. Biomedical Engineering Education, 1(1), 139- 144.Appendix A. Sample responses to the
]. 2 An effective add-on to any instructional method are apprenticeship models, which offermany attractive benefits for educating students to build prototypes through feedback loops. Thecognitive model of situated learning—which apprenticeship falls under—engages experts totrain students (novices), often placing them in side-by-side working situations [4]. This format isconducive to the teaching of procedural techniques, such as laboratory methods, shop methods,coding, and culinary processes. Both the presentation of content and the participation bystudents are necessarily active and social in this educational style [5]. These types of instructioncombine explicit and tacit knowledge [6] and in doing so focus on the practice of what it
Professor in the School of Mechanical Engineering at Purdue University and serves as the Director of the Ray W. Herrick Laboratories and the Director of Practice for MEERCat Purdue: The Mechanical Engineering Education Research Center at the same institution. He previously served as the Associate Director of PERC: The Purdue Energetics Research Center. Dr. Rhoads received his B.S., M.S., and Ph.D. degrees, each in mechanical engineering, from Michigan State University in 2002, 2004, and 2007, respectively. Dr. Rhoads’ current research interests include the predictive design, analysis, and implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS) for use in chemical and biological sensing
). Thesemulti-citers, as we call them above, indicate that a cluster of scholars, a program in the field, orseveral laboratories are committed to the work of reading, understanding and citing Blackwomen as the founders of intersectionality. This uptake allows us to resist the tendency toexplain away critical or purposeful reading practices: “Oh, I was never asked to read this ingraduate school!” Or, “Yeah, we don’t really read ‘that stuff’ in engineering.”These trends represent some pain points that the field might do well to reflect and act on. Evenwithin the field’s efforts to address equity and inclusion, Black women’s knowledge appears tobe delegitimized or erased. For Jones and Dotson, the choice to omit or carefully integrate Blackwomen into our
features is shown in Table 2. We first categorized the jobpostings based on the types of institutions. Postdoc appointments under universities were assignedto “academia.” Other appointments at national laboratories, industry research centers, or corpora-tions were categorized as “non-academia.” To further extract the structure from the text data, theKSAs and domain discipline dictionaries were applied to analyze the job posting data. The wordfrequencies were calculated based on the two dictionaries. Two lists of identified KSAs and main Table 1: KSAs Features Dictionary KSAs Features Examples of KSAs Features - Grants/awards adjudication - Mock
), and students can select from the course catalog that addresses a number oftopics such as, data ethics, entrepreneurship, laboratory life, for example. These courses useapproaches aligned with the humanities and social sciences to further investigate the social andethical issues related to engineering and engineered artifacts. In their fourth-year all engineeringstudents take a yearlong course sequence in both their fall and spring semesters. This is wherethey learn about STS theories, consider various ethical frameworks and apply these concepts totheir own research topics. A graduation requirement is for all students to generate a writtenportfolio that includes a report on their technical capstone project and STS research paper thataddresses
thetraditional hands-on (i.e., laboratory) activities. The spring semester students at least had the firsthalf of the semester in-person (pre-pandemic) and while the fall semester was potentiallymodified to allow for social-distancing rules, etc., many hands-on components of the programwere reintroduced. Almost Highly Quite Only Impossible Challenging Challenging Distracting N= 2022 Cohort 22.2 33.3 55.6 100.0 9 2021 Cohort 48.3 86.2 89.7 93.1 29 2020 Cohort 44.2 69.2 92.3 86.5 52Figure 6. Percent
demonstrated that studentschoose different learning pathways (infrequent vs. frequent vs. no searching) which providesempirical support for a UDL approach to course content design and delivery.LimitationsThe results presented in this study include event data from COVID-19 affected semesters andnon-COVID19 semesters prior to 2020. The data are from authentic learning environments ofengineering courses under non-laboratory controlled conditions. Our current analysis is limitedto event logs of higher education students in a subset of undergraduate engineering courses atone university in the U.S. using a single web tool
Laboratory on campus where she works with lithium ion coin cells. She has completed two co-ops, where she has worked on grid-scale energy storage technologies and electrochemically medi- ated CO2 capture devices. She is an NSF Graduate Research Fellowship recipient and will begin pursuing a PhD in Materials Science and Engineering at Brown University this Fall.Ms. Hannah Boyce, Northeastern University Hannah Boyce is a fourth year undergraduate student pursuing a B.S. in Chemical Engineering at North- eastern University. She has been involved in the Connections Chemistry Review program for a three years, is a peer mentor, President of AIChE and Conference Chair for the 2021 AIChE Northeast Regional Con- ference. She
Paper ID #34949Identifying Signature Pedagogies in a Multidisciplinary EngineeringProgramDr. Kimia Moozeh, University of Toronto Kimia Moozeh has a PhD in Engineering Education from University of Toronto. She received her Hon. B.Sc. in 2013, and her Master’s degree in Chemistry in 2014. Her dissertation explored improving the learning outcomes of undergraduate engineering laboratories by bridging the learning from a larger context to the underlying fundamentals, using digital learning objects.Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching Stream and Associate Chair, Curriculum
analyzedby a professional agricultural laboratory.2.2 ResultsBetween 25 October and 19 November 2020, the wind turbine pumped a daily average of 542.3liters of water per day. Measurements of Electric Conductivity, which indicates salinity, were atan average of 3,645 μS (microSiemens), with recorded numbers ranging from 1,560 μS to 4,914μS. Much higher-than-average salinity levels of 4,650 μS were recorded in the water extractedfrom the well on which the wind turbine is installed. For comparison, water salinity in the adjacentwell feeding the large irrigation basin next to the greenhouse were measured at only 470 μS. Themeasured salinity level in the pond dropped significantly after a water top-up, which was usuallydone by adding water from the
societies [18], and industry sectors [19]. Collaborations from thesestakeholders support the translation of novel DDS from laboratory or “benchtop” research through commercialization, clinical trials and regulatory bodies and onto the patient, or “bedside” [20]. As a multidisciplinary field, researchers have contributed to engineering curriculum by developing drug delivery courses to engage engineering students with varied interest in medicine and the desire to pursue biomedical careers in pharmaceutical industries, research intensive institutions, and medical schools [21]. Historically, students enter this course with prior knowledge of chemical engineering fundamentals, and are instructed by bioengineering and chemical engineering
leadershipnetworks should be considered in addition to communication networks to understand teamdynamics.Limitations include the sample size and the frequency of observation. The nature of the casestudies construct limits the ability to determine the impact of specific design stages or activitiesthat can be controlled in laboratory experiments. Future observational studies can address theselimitations.Future research is recommended to determine if these networks develop or change through thelifecycle of the project team and the role of project design team size on network characteristics.Additional similarity measures can also be applied for additional insights. Research is alsorecommended to determine if the degree (leadership) and frequency of influence
,” TheBridge, vol. 32, no. 3, pp. 8-13, 2002.[12] J. L. Hess and G. A. Fore, “A systematic literature review of US engineering ethicsinterventions,” Science and Engineering Ethics, vol. 24, no. 2, pp. 551-583, 2018.[13] M. C. Loui, “Ethics and Development of Professional Identities of Engineering Students”Journal of Engineering Education, vol. 94, no. 4, pp. 383-390, 2005.[14] E. A. Clancy, Quinn, P., and Miller, J. E., “Assessment of a case study laboratory toincrease awareness of ethical issues in engineering,” IEEE Transactions on Education, vol. 48,pp. 313-317, 2005.[15] L. J. Shuman., M. F. Sindelar, M. Besterfield-Sacre, H. Wolfe, R. L. Pinkus, R. L. Miller, B.M. Olds, and C. Mitcham, “Can our Students Recognize and Resolve Ethical Dilemmas
co-creation are at the heart of her teaching approaches, whether in lecture, work- shop, and laboratory settings. She has been actively involved in ethics, equity and leadership education in engineering since 2011.Dr. Aleksander Czekanski , CEEA-ACEG Dr. Aleksander Czekanski is an Associate Professor and NSERC Chair in Design Engineering in Lassonde School of Engineering at York University, Toronto. Before beginning his academic career in 2014, Dr. Czekanski worked for over 10 years in the automotive sector. Dr. Czekanski attention is dedicated to newly established Lassonde School of Engineering (York). He devotes his efforts towards the enrichment of Renaissance Engineering program by including interdisciplinary
Rule 15 System Integration Ruleset Implementation Table 1: Course Topic and Lab Schedulecomplete additional software based control projects as well as additional design questions on thecourse exams, which are not discussed in this paper. After completing the course, students will becapable of seeking and applying knowledge from a broad range of sources in order to design anintegrated system that includes analog and digital circuits, microprocessor-based components,sensors, actuators, and basic controls. The corresponding laboratory experiments providehands-on experience in sensor characteristics, supporting driver and interface circuitry, and basicmicrocontroller programming.The
materials recycling for pavement construction and numerical analysis in engineering appli- cations. He teaches Statics, Soil Mechanics and Foundation (Lectures and Labs), and Transportation Engineering Laboratories at CSU Chico.Dr. Kathleen Meehan, California State University, Chico Kathleen Meehan earned her B.S. in electrical engineering from Manhattan College and her M.S. and Ph.D. from the University of Illinois. After graduation, she worked at Lytel, Inc., Polaroid Corporation, and Biocontrol Technology. She moved into academia full-time in 1997 and worked at the University of Denver, West Virginia University, and Virginia Tech. From 2013 to 2017, she was the director of the Electronics and Electrical Engineering
. from Louisiana State University (1993), and B.S. from Beijing Agricultural University (1989). She was a Postdoctoral Researcher at the University of Wisconsin-Madison (1997-1998), an Assistant Professor at Kansas State University (1998-2001), University of Georgia (2002-2005), and Assistant Professor, Dept. of Chemistry, Mississippi State University (2006-2010), an Associate Professor at Mississippi State University (2010- 2011) and at Virginia Tech (2011-2016). She also served as Director for Re-search Division and Industrial and Agricultural Services Division, Mississippi State Chemical Laboratory (2006-2011). She is currently a Professor at Virginia Tech (2016-present). She has served as adhoc reviewer for a
students in engineering education programs have typically been trained through ABET-accredited engineering programs. Despite ABET’s communication requirement, engineeringundergraduate students have limited opportunities to learn to write in their discipline [7]. Often,explicit writing instruction is limited to two courses: one in first-year writing, and one thatfocuses on engineering writing. The other writing engineering students do is integrated implicitlyin design and laboratory coursework. In these contexts, writing practices are often renderedinvisible as students are asked to fill forms, draw sketches, and incorporate appropriate equationsinto reports rather than write essays or reflections [6]. Instructors do not emphasize writingprocesses
, “Education and Training” was listed as oneof the top ten unsolved problems in InfoVis [7]. The overarching theme for the 2015 Gordon Research Conference onVisualization in Science and Education is “Grand Challenges in the Use of Visualization in Science and Education” [1].More recently, educational psychology concepts were applied to design four types of online guides for InfoVis [20].However, few works have been done for SciVis. Hertzberg and Sweetman [9] designed a flow visualization coursefocusing on studio/laboratory experiences. Wang et al. [23] presented an education tool named FlowVisual for teachingand learning 2D flow visualization and later extended it to 3D flow visualization [22]. Work focusing on VolViseducation is even more scarce
ofreflection sessions as students worked on their co-curricular project.2.0 FrameworkJonassen argued that the foremost role of an engineer is that of “problem solver” [7], [14] but thetypes of problems students see compared with those in professional settings are far different. TheNational Academy of Engineering made the same fundamental argument, noting that the originsof engineering lie in the trades with focus on producing something useful, but further points outthat the formalization of engineering education has served to further disconnect engineers inpractice and academic settings [15]. At the root of this disconnect is that so much of engineeringeducation, particularly the formal curriculum conducted in lecture halls and laboratories, is
teachers tobe able to develop understanding of BID and its integration into engineering design process togauge students’ interest to utilize natural world elements as inspiration for their design, and toimplement BID focused high school engineering courses.The first PL for the project was planned for Summer 2020. Our original idea was to provide thefirst PL experience for the participating teachers as part of six-week-long summer internships inperson at the university research laboratories focused on biology and bio-inspired design. Thegoal of these internships is to improve engineering teachers’ knowledge of bio-inspired designby partnering with cutting-edge engineers and scientists to study animal features and behaviorsand their applications to
peers.As we enter an age when diversity is highly valued, inclusion and equity are becoming commonterms associated with learning and work environments. ABET EAC Student Outcome 5 specifiescreating “a collaborative and inclusive environment” as part of teamwork, and, as such, it isessential we educate our incoming students on these topics and provide support for their socialand emotional development as part of their professional development.The authors present a new model for an engineering orientation for first-year students thatintroduces them to professional codes of conduct and educates students on the importance ofacting professionally and ethically in classrooms, laboratories, makerspaces, and even in thehallways. The orientation also
floor. But as important as themuseum is, the art there is a thematic collection which is primarily made up of European oilpaintings from the 18th and 19th centuries. The collection reflects the processes of work,capturing the shift from manual to technological in the western world. Several instructors havemade a connection between the art and areas of study (see the examples above and the“laboratory” uses that follow) but it does not reflect the student, or campus experience, and thiswas the focus of the discussion in August of 2019.Students immediately articulated a wish for art that would identify the campus as a place where“we’re proud to be engineers.” A discussion of a possible mural (on the aforementionedutilitarian buildings) led into a