Paper ID #36214Teaching of Professional Ethics in Engineering DesignProf. Rajpal S Sodhi, NJIT Raj Sodhi, Ph.D., P.E. is a Professor of Mechanical Engineering and Master Teacher at NJIT. Prof Sodhi is active in the areas of Mechanical Design, Biomedical Design and Design of Mechanisms. Prof Sodhi has served in the past as Mechanical and Industrial Engineering Chair, Director of Manufacturing programs and Faculty Council President. He has published over 150 refereed papers and five text books. He holds two patents. He is winner of several awards including N. Watrous Procter & Gamble Award, Ralph R. Teetor Engineering
Paper ID #36225Training Middle and High School Teachers in Introducing Science andEngineering to StudentsProf. Rajpal S Sodhi, NJIT American c Society for Engineering Education, 2022 Training Middle and High School Teachers in Introducing Science and Engineering to StudentsAbstract:Students enrolled in elementary and secondary schools, who want to pursue a career inscience and engineering need a realistic introduction to these topics through hands onand meaningful experiments not normally available in schools. Author has developed aworkshop on Energy and Machines
Electrical and Electronics Engineers, and NJIT Master Teacher. He has served on the board of the United States Association for Small Business and Entrepreneurship, and as Director of the Academy of the International Council for Small Business.Dr. Regina S. Collins, New Jersey Institute of Technology American c Society for Engineering Education, 2022 Teaching Impactful Entrepreneurship to Engineering StudentsAbstractEngineering education endeavors to impart the skills students need to solve technologicalchallenges, while entrepreneurship education endeavors to impart the skills needed to solve thecommercialization challenges. However, society benefits only when
Paper ID #36184Motivating Middle Schoolers to Be EngineersDr. Howard S. Kimmel, New Jersey Institute of Technology HOWARD KIMMEL is Professor-Emeritus of Chemical Engineering and Retired Executive Director of the Center for Pre-College Programs at New Jersey Institute of Technology. In 2019 Dr. Kimmel was a recipient of the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring, one of 15 awardees nationwide. In addition, Dr. Kimmel has received numerous awards in recognition of his service, including: ASEE 1985 Vincent Bendix Minorities in Engineering Award, and ASEE CEN- TENNIAL
Paper ID #36192Excel optimization pedagogy using Van Hiele learning model of spatialabilities with Force Concept Inventory Test MRI and haptic learner datafor COVID-19 online challengeDr. sunil Dehipawala, City University of New York, Queensborough Community College Sunil Dehipawala received his B.S. degree from University of Peradeniya in Sri Lanka and Ph.D from City University of New York. Currently, he is working as a faculty member at Queensborough Community College of CUNY.Dr. Dimitrios S. Kokkinos, City University of New York, Queensborough Community College Dr. Dimitrios Kokkinos is an Associate Professor of Physics at
Paper ID #36187Remote Professional Development Opportunities for K-12 Teachers during aPandemicDr. Howard S. Kimmel, New Jersey Institute of Technology HOWARD KIMMEL is Professor-Emeritus of Chemical Engineering and Retired Executive Director of the Center for Pre-College Programs at New Jersey Institute of Technology. In 2019 Dr. Kimmel was a recipient of the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring, one of 15 awardees nationwide. In addition, Dr. Kimmel has received numerous awards in recognition of his service, including: ASEE 1985 Vincent Bendix Minorities in Engineering
difference in these purecircular motion problems versus one-dimensional motion along the x or y axes is that theresultant acceleration vector will have two components.In addition, an angle will need to be calculated between these two acceleration components.There will be no formulas that contain standard rotational variables such as ω and α.Also, a new notation for the introduction of time will be introduced. For example, with an initialvelocity of 1 m/s and a given tangential acceleration how long will it take (t) to reach a finalvelocity of 4m/s? The notation will be as follows (1m/s, 0s) and (4m/s,ts)This alternative method eliminates the need for plotting variables in a two-dimensional graphwith time on the horizontal axis. Except for the
disabilitiesapproximately 40,000 students with disabilities at CUNY. 4 in science and engineering: 2017 digest. Special Report NSF, 17-310. Available at http://www.nsf.gov/statistics/2015/nsf15311 Okoro CA, Hollis ND, Cyrus AC, Griffin-Blake S. Prevalence of Disabilities and Health Care Access by Disability Status and Type Among
previously served on the executive leadership team to establish theASEE Faculty Development Division and served as the division’s Program Chair for the 2018,2019, and 2020 annual ASEE Conferences. Her primary research interests include facultydevelopment, the peer review process, the doctoral experience, and the adoption of evidence-basedteaching strategies. In her free time, Stephanie enjoys reading sci. fi. and fantasy books, kayaking,walking her dog, snuggling her dog, and playing video games.References:Velegol, S. B., Zappe, S. E., & Mahone, E. (2015). The Evolution of a Flipped Classroom:Evidence-Based Recommendations. Advances in Engineering Education, 4(3), 1-37.Zappe, S. E., Leicht, R., Messner, J., & Litzinger, T. (2009). “Flipping
used to power underwater vehicles for the military: due to theand T-s diagrams. The resulting power output matrix is two- low noise and low vibration of the engine, underwater dimensional: one dimension is an array of Revolutions Per Minute (RPM) values from 100 rpm to 1,000 rpm; the military vehicles will decrease their probability of being second dimension is an array of compression ratios. This detected by the enemy [4]. The reason for low noise is power output matrix is created by utilizing the Parametric because there is no combustion process inside the engine to tables in EES. The Nasa Ideal Gas Library within the EES exert gas pressure
knowledge and effectivepresentation as the student defines the General (G) domain, describes in detail the Particular (P) categories identified and then demonstrates the Specific (S) depth of knowledge withinone of does categories. The student will then conclude the presentation by connecting thespecific area back to the general domain. Feedback provided on content was matched with delivery feedback in the same languageof the levels of the GPS model using the terminology from E-GOALS. As students work to develop an effective storyline and presentation content, they adoptthe labels for the increasing degree of specificity to allow different domains to discuss contentissues and organization in the common space. Reading the GPS
. [6] D. Brabazon, L. Donovan, M. Melia, M. P. O’Mahony, A. Egan, and B. Smyth, “Supporting problem-based learning in moodle using personalised, context-specific learning episode generation,” Proceeding of 1st Moodle Research Conference, 2012. [7] D. Zapata-Rivera, “Adaptive, assessment-based educational games,” Intelligent Tutoring Systems Lecture Notes in Computer Science, p. 435–437, 2010. [8] W. Ravyse, S. Blignaut, V. Leendertz, and A. Woolner, “Success factors for serious games to enhance learning: a systematic review,” Virtual Reality, vol. 21, 03 2017. [9] Y. Tang, K. Jahan, and T. Bielefeldt, “The effectiveness of an adaptive serious game for digital logic design,” 2015 ASEE Annual Conference and Exposition
and increasing performance for unique applications (e.g. satellite, passenger aircraft,high-performance vehicle, electric mobility scooter, etc.).AcknowledgementsThe authors would like to thank Autodesk for their generous support with software and services.References1. V. Singh and N. Gu, “Towards an integrated generative design framework,” Design Studies, vol. 33, no. 2, pp. 185–207, Mar. 2012, doi: 10.1016/J.DESTUD.2011.06.001.2. S. C. Chase, “Generative design tools for novice designers: Issues for selection,” Automation in Construction, vol. 14, no. 6, pp. 689–698, Dec. 2005, doi: 10.1016/J.AUTCON.2004.12.004.3. X. Li, H. O. Demirel, M. H. Goldstein, and Z. Sha, “Exploring Generative Design Thinking
Technological Student’s self perception of their REFERENCES Self-efficacy2 capabilities to utilize technology (tools 1. McGee, J. E., Peterson, M., Mueller, S. L., & Sequeira, J. M. (2009
that the experience of remote instruction, including socialisolation and collective trauma, have had a significant effect, especially on metacognitivelearning, or awareness and development of skills as a learner. These metacognitive shiftsmanifest in a variety of ways, including academic procrastination (e.g. waiting until the lastminute) and the related phenomenon of poor time management (e.g. not managing one’s timeefficiently and effectively).Literature Review From the very beginning of the so-called learning-centered revolution in highereducation, effective time management had been identified as a fundamental skill undergraduatestudents need to succeed academically. Starting in the 1980’s, several seminal studies establishedthe
, and students. Oncefilled out, the form should be submitted to the course coordinator(s) for ECE 3970/ECE 3971Junior Projects Course. The course coordinator will review the project proposal and will eitherapprove the project as is or send it back to the proposer with comments for modification.Title of Proposed Project:_____________________________________________________________Brief Project Description:__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________Expected Number of Students: EE _____ CpE
Organization (WHO) Arsenic is a well-known carcinogen2 . The levelof toxicity depends on the type of compound. For example, Arsenic in organic compounds is lesstoxic but Arsenic in inorganic compounds is more toxic. Arsine (ASH3), Arsenite, and Arsenatein particular are highly toxic compounds. Humans unknowingly consume Arsenic throughdrinking water and plants. In addition to naturally occurring Arsenic, the Arsenic concentration ofsoil increases due to human activity. Arsenic compounds are used in the industry sector in themanufacturing of semi-conductors, glass production, papers, metal adhesives, ceramics, woodpreservatives, and explosives3 . Inorganic Arsenic compounds were used as pesticides in theUnited States of America (USA) before the 1950’s
order to measure adaptiveness as students progress through theirprogram of study. A subgroup of the low-income student population at Stevens will also receivestructured mentoring and guidance designed to aid in their development of AE. The adaptivenessof this cohort will then be tracked and compared to various other groups in the survey populationin order to test the effectiveness of the AE mentoring and interventions used.AcknowledgementsPartial support for this work was provided by the National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S STEM) program under Award No.2130428 and an American Talent Initiative’s Promising Practice Accelerator award funded byBloomberg Philanthropies. Any opinions
Entropy analysis of the EEG background activity in Alzheimer’s sequences to find repetitive patterns. More first few scale factors before reversing towards the disease patients. Physiological Measurement 27:241?53. repetitive patterns mean less entropy. end as shown in figure 3. 7. Molina-Pico A, Cuesta-Frau D, Aboy M, Crespo C, Mir?Martínez ○ Multiscale Entropy (MSE) : Calculate entropy P, Oltra-Crespo S (2011
conference papers and book chapters.Prof. Cheng Zhu, Rowan University Dr. Cheng Zhu is an assistant professor of civil engineering at Rowan University. His research primar- ily concerns multi-scale geomaterial behavior under coupled processes across various time scales, with emphasis placed on microstructure characterization, constitutive model formulation, and computational geomechanics, for applications in geological storage and energy geotechnics. Prior to joining the Civil and Environmental Engineering Department at Rowan, he worked in the Bureau of Economic Geology at the University of Texas at Austin. At Rowan, he teaches courses in geotechnical engineering and ge- omechanics. He is a recipient of James S. Lai
= 1 h−1 (maximum specific reaction rate), Ks = 0.2 g/l (constant of saturation, whichprovides 1/2 of the maximum specific growth rate), Yc/s = 0.5 g/g (yield coefficient). mass of new cells formed Yc/s = (2) substrate consumedThe reaction is to be carried out in a batch reactor with the initial cell concentration of Cc0 = 0.1 g/land substrate concentration of Cs0 = 20 g/l. Cc = Cc0 + Yc/s (Cs0 − Cs ) (3)Solve the problem numerically and plot −rs , −rc , Cs , Cc as a function of time. • Rate of
capabilities dimension, a scientifically literate person ought to have arange of hands-on skills; be able to pose and evaluate arguments based on evidence and to drawand apply conclusions from such arguments appropriately [e.g., 42]; be able to describe, explainand predict natural phenomena. In terms of cognition and habits of mind and decision making, ascientifically literate individual would be expected to ask questions, manifest inquisitiveness, beopen-minded, value the scientific approach to inquiry, and maintain a commitment to itsevidence [e.g., 16].Technology LiteracyThe term “technological literacy”, emerged in the early 1970’s, conveyed the embodiment ofknowledge and skills needed to function in a society dominated by technological
ethicsand data bias as learning goals arose from only a rudimentary understanding of how machineslearn. We do not believe that critical perspectives about machine bias would have been possiblewithout a basic mechanistic explanation of the processes involved in machine learning.AcknowledgementsThe authors are grateful to the teacher candidates who creatively engaged in this work and toMehrdad Mahdavi and Swaroop Ghosh for inviting us to think together about machine learningsystems in drug discovery contexts. This work is partially supported by the National ScienceFoundation NSF OIA-2040667. References[1] Bolger, M. S., Kobiela, M., Weinberg, P. J., & Lehrer, R. (2012). Children's mechanistic reasoning
(45nm), 2015. https://sudip.ece.ubc.ca/cadence-virtuoso-schematic- simulations.4. Virtuoso Schematic Composer Tutorial, 2003. http://www2.ece.ohio-state.edu/~bibyk/ee721/comptut.pdf.5. Cadence Virtuoso Schematic Composer Introduction, 2009. https://engineering.purdue.edu/~vlsi/ECE559_Fall09/Lab/559TUT_1_ver7_fall09.pdf.6. N. Zhang, J. F. R. Rochac, E. T. Ososanya, W. H. Mahmoud, and S. Lakeou, “VLSI Design and Verification of a CMOS Inverter Using the Tanner EDA: A Case Study,” The 7th International Multi-Conference on Engineering and Technological Innovation (IMETI 2014), Orlando, Florida, July 15-18, 2014.7. N. Zhang and D. C. Wunsch II, “Speeding up VLSI Layout
Syndrome Research Question(s): Wernicke’s syndrome develops as a result of nutrient and vitamin deficiencies related to alcoholism. What prevents alcoholics from receiving adequate nutrition? How can biomedical innovations be used to prevent the progression of this syndrome? Topic: Acclimating to High School 17 Title: The STEM Innovation Academy’s Approach to the Senior Capstone Project: Promoting a Culture of Excellence Research Question(s): What logistical challenges do freshmen face when starting high
effectively self-direct thestudents. The methods have been applied to over 40 project teams over 4 years and we have seena marked improvement in team innovations. Clearly, the data set is small, and the results may notbe achieved in all settings. It is recommended that instructors adapt the methods to their uniquecourse settings.REFERENCESArmstrong C.E. (2016), Teaching Innovation Through Empathy: Design Thinking in the Undergraduate Business Classroom. Management Teaching Review. 2016;1(3):164-169. doi:10.1177/2379298116636641Das, S. (2021), Fast Fulfillment: The Machine that Changed Retailing, Business Expert Press, New York, https://www.amazon.com/Fast-Fulfillment-Machine-Changed-Retailing- ebook/dp/B092FM8YK4Fast Fulfill
, deciding search ranking, and so on (S. Kim & J. Gil 2019).Term frequency in TF-IDF is the frequency of a word in a given document of documents, whichmeans the words with higher TF have importance in a given document, and IDF(InverseDocument Frequency) is a measure of words that are rare in a document, it is basically theopposite of Term Frequency. TF-IDF is the product of TF and IDFPseudocode: 1. Calculate TF(Term Frequency) of the description field of all the courses 2. Calculate IDF(Inverse Document Frequency) of the description field of all the course 3. Calculate TF-IDF by multiplying TF and IDF TF - IDF = Term Frequency * Inverse Document FrequencyStep 3:Create a graph by adding name, description, area of study, the field
student Teams to customize the rotating head support for individualdisabled children at the facility. All rotating head supports will be given free of charge thanks to thegenerosity of Donors to pay for the material costs.References: 1. C. J. Gray, G. D. Grabovetz, K. A. Gabrielsen, S. R. Lecin, and P.R. Stupak, “Green Energy Tent Light with GPS Locator: A Real Product for a Real Customer”, 2017 Mid-Atlantic Section Fall Conference, University of Pennsylvania, Berks, October 2017. 2. H. Tawfik, Y. Ryu, and R. Kowalski, “Education through Applied Learning and Hands-on Practical Experience with Flex Fuel Vehicles”, Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. June 2017, https
” Scholarship and Practice of Undergraduate Research, Vol.4, No. 3.Narayanan, R. M. (1999). “Use of Objective-Base Undergraduate Research Project Experience as aGraduate Student Recruitment Tool,” Journal of Engineering Education, Vol. 89, No. 2, pp 361-365.Zydney, A. L., Bennett J. S., Shahid, A., and Bauer, K. W. (2002). “Faculty Perspective Regarding theUndergraduate Research Experience in Science and Engineering,” Journal of Engineering Education,Vol. 91, No. 2, pp 291-297.Norbert J. Delatte, (2004), “Undergraduate Summer Research in Structural Engineering”, Journal ofProfessional Issues in Engineering Education and Practice., 130(1), 37-43.Vater Ashley, Katherine Dahlhausen, David A. Coil, Brittany N. Anderton, Christian S. Wirawan,Natalia
early1990’s. It was understood that a FEM theory was not necessary to learn the usage of FEAsimulation. FEA simulation was included as a part of solid modeling in an engineering designgraphics course [11]. Ural et. al. [12] have developed a project for first year course incorporatingFEA simulation. In that project, the behavior of a SMARTBEAM® was examined usingexperimental measurement and FEA simulation and the results were compared. For all these firstyear courses FEA was used only as a simulation tool and the philosophy was that the underlyingFEA theory or the knowledge of mechanics was not necessary.Papadopoulos et al. [13] proposed a different pedagogy on integration of FEA practicethroughout the undergraduate CE/ME curriculum. They