, 10(2), 219-24.24. Boni, A., and Berjano, E. J. (2009). Ethical Learning in Higher Education: The Experience of the Technical University of Valencia. European Journal of Engineering Education, 34(2), 205-13.25. Haws, D. R. (2001). Ethics Instruction in Engineering Education: A (Mini) Meta- Analysis. Journal of Engineering Education, 90(2), 223-29.26. Abaté, C. (2011). Should Engineering Ethics Be Taught? Science & Engineering Ethics, 17(3), 583-96.27. Yadav, A., and Barry, B. E. (2009). Using Case-Based Instruction to Increase Ethical Understanding in Engineering: What Do We Know? What Do We Need? International Journal of Engineering Education, 25(1), 138-43
of a C+ average, are U.S.Citizens or permanent residents, and Virginia residents. Students can attend only once and haveto be transported to the university by a family member or a legal guardian. Students stay on-campus from Sunday evening to Wednesday morning, sleep in dorms, eat in the dining halls,attend classes and work in the labs; in essence, they get to experience life as an on-campusundergraduate student. At the university BLAST sessions, there are two major workshopsessions and one special evening event that embeds the use of autonomous robotics ininstruction: 1) Satellites, Lasers, and Drones; 2) Robots in Hazardous Environments; and 3) It’s aBird, It’s a Plane, It’s a Drone.Satellites, Lasers, and Drones. This activity is led by
intensities of moment Visualize the effect of a couple moment formed by two 2 Students Forming Couples volunteers applying equal and opposite forces to a table Show and compare the reactions from mock-ups of typical 3 Show Some Restraint support conditions used in engineering Generate an internal bending moment in a cheese beam due to 4 Cutting the Cheese Beam applied shear Visualize and distinguish the difference in sign convention for 5 Breaking Bread internal shear in a sliced loaf of bread
, “Curriculum visualization in 3D,” in Proceedings of the twelfth international conference on 3D web technology, New York, NY, USA, Apr. 2007, pp. 177–180. doi: 10/cwn2wh.[2] S. Kriglstein, “Analysis of Ontology Visualization Techniques for Modular Curricula,” in HCI and Usability for Education and Work, Berlin, Heidelberg, 2008, pp. 299–312. doi: 10/dmvmx7.[3] R. Zucker, “ViCurriAS: A Curriculum Visualization Tool for Faculty, Advisors, and Students,” J. Comput. Sci. Coll., vol. 25, no. 2, pp. 138–145, Dec. 2009.[4] S. M. MacNeil, M. M. Dorodchi, E. Al-Hossami, A. Benedict, D. Desai, and M. J. Mahzoon, “Curri: A Curriculum Visualization System that Unifies Curricular Dependencies with Temporal Student Data,” presented at the 2020 ASEE
laboratories: A comparative literature review.” ACM Computing Surveys (CSUR) 38.3 (2006): 7.[10] M. Findley, “The relationship between student learning styles and motivation during educational video game play,” International Journal of Online Pedagogy and Course Design, vol. 1 (3), pp. 63-73, 2011.[11] Schneider, Fred B. "Cybersecurity education in universities." IEEE Security & Privacy 11.4 (2013): 3-4.[12] Hands-on Labs for Security Education (SEED labs), http://www.cis.syr.edu/~wedu/seed/[13] Suganya, V. "A review on phishing attacks and various anti phishing techniques." International Journal of Computer Applications 139.1 (2016): 20-23.[14] Gupta, M. Surya Deekshith, Vamsikrishna Patchava, and Virginia Menezes. “Healthcare
Curriculum," Journal of Engineering Education, vol. 93, no. 3, pp. 253-257, 2004.[3] C. McLoughlin and B. Loch, "Building cognitive bridges in Mathematics: Exploring the role of screencasting in scaffolding flexible learning and engagement," in Show me the Learning. Proceedings ASCILITE 2016 Adelaide, ASCILITE 33rd International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education 2016, Adelaide, Australia, November 27-30, 2016, S. Barker, S. Dawson, A. Pardo, C. Colvin, Eds. pp. 412-420.[4] M. Anastasakis, C. L. Robinson, and S. Lerman, "Links between students’ goals and their choice of educational resources in undergraduate mathematics
physicists draw FBD’s,” Physics Teacher, vol. 31, pp 216-217, 1993.[17] T. Litzinger, P. Meter, C. Firetto, L. Passmore, C. Masters, S. Turns, S. Gray, F. Costanzo, and S. Zappe, “A Cognitive Study of Problem Solving in Statics,” J. Engg Educ., vol. 99, pp 337-353, 2010.[18] K. Giridharan and R. Raju, “Impact of Teaching Strategies: Demonstration and Lecture Strategies and Impact of Teacher Effect on Academic Achievement in Engineering Education,” International Journal of Educational Sciences, vol. 14 (3), pp 174-186, 2016.[19] J. Davis and T. McDonald, “Online Homework: Does it help or hurt in the long run?,” Proceedings of the 121th annual ASEE Conference, Indianapolis, USA, June 15-18, 2014.[20] J
–57.[12] B. Y. Alkazemi and G. M. Grami, “Utilizing BlueJ to teach polymorphism in an advanced object-oriented programming course,” Journal of Information Technology Education, 2012, accessed: 2021-8-5.[13] M. Behroozi, A. Lui, I. Moore, D. Ford, and C. Parnin, “Dazed: Measuring the cognitive load of solving technical interview problems at the whiteboard,” in 2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER). ieeexplore.ieee.org, May 2018, pp. 93–96.[14] M. Behroozi, S. Shirolkar, T. Barik, and C. Parnin, “Does stress impact technical interview performance?” in Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and
. "Challenges and Possibilities of RFID in the Forest Industry." Radio Frequency identification from system to applications (2013): 301-324.[3] Li, Suhong, et al. "Radio frequency identification technology: applications, technical challenges and strategies." Sensor Review 26.3 (2006): 193-202.[4] McCathie, Luke. "The advantages and disadvantages of barcodes and radio frequency identification in supply chain management." (2004).[5] Çiftler, Bekir Sait, Abdullah Kadri, and Ismail Guvenc. "Experimental performance evaluation of passive UHF RFID systems under interference." RFID Technology and Applications (RFID-TA), 2015 IEEE International Conference on. IEEE, 2015.[6] Mattei, Eugenio, et al. "Provocative Testing for the Assessment of the
has been studied in engineering specifically, andScience, Technology, Engineering and Math (STEM) more generally, there is a lack of researchinvestigating factors that influence persistence in ML/AI. In this work, we present theadvancement of a model of intentional persistence in ML/AI in order to identify areas forimprovement. We surveyed undergraduate and graduate students enrolled in ML/AI courses at amajor North American university in fall 2021. We examine persistence across demographicgroups, such as gender, international student status, student loan status, and visible minoritystatus. We investigate independent variables that distinguish ML/AI from existing studies ofpersistence in STEM, such as the varying emphasis on non-technical
, Montomoli, F,A. D'Ammaro, “Uncertainty quantification and race car aerodynamics”, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 228, Pages: 403-411, ISSN: 0954-4070, 2014. 2. A. D'Hooge, L. Rebbeck, R. Palin, Q. Murphy, J. Gargoloff, and B. Duncan, “Application of Real-World Wind Conditions for Assessing Aerodynamic Drag for On-Road Range Prediction”, Paper #: 2015-01-155, SAE International 2015. 3. J. Dong, S. Erdogan, C. C. Lu C, and HS. Mahmassani, "State-Dependent Pricing for Real-Time Freeway Management: Static, Reactive, and Anticipatory", National Research Council (U.S.). Transportation Research Board Meeting 86th, Washington, D.C. 2,007. 4. J. Dong
tentative database structure for the Materials Science and Engineeringdatabase (see section 5), initial feed-back was collected from an international group of educators(Canada, US, Sweden, Belgium, UK) of materials-related courses, all experienced users of thesoftware system in relevant courses.3 Outcome of Curriculum/Syllabus Analysis, Focus Groups and SurveyThe Learning outcomes, or in some cases the corresponding content of the syllabus, werecompared and analysed for the five courses mentioned above. These are summarized in Table 2. Page 26.201.5Table 2. Learning outcomes from selected syllabi (from web) projected onto discipline:1 Tampere
of Colorado at Boulder, Col. in 1986; and his Ph.D. in Geotechnical Engineering from University of Wisconsin-Madison in 1992. Prof. Al-Mhaidib has published more than 40 national and international technical papers in various journals and conferences in the area of geotechnical engineering and engineering education. He reviewed a number of journal and conference papers. Page 23.300.1 c American Society for Engineering Education, 2013 College of Engineering at King Saud University and its Partnership with IndustryAbstract: Consistent with the
of his experience as a researcher/academician, he has been actively involved in research and accredi- tation work related to engineering education. His technical research areas are Applied materials and manufacturing; Applied mechanics and design; Reliability engineering; and Engineering education. As part of the Applied Mechanics and Advanced Materials Research group (AM2R) at SQU, he has been involved in different applied research funded projects in excess of 4 million dollars. He has around 200 research/technical publications to his credit (2 research monographs/books, 2 edited book volumes, 5 book chapters, 145 publications in refereed international journals and conferences, and 32 technical reports). He is
designer, he has worked on a range of projects that included houses, hospitals, recreation centers, institutional buildings, and conservation of historic buildings/monuments. Professor Sudarshan serves on the Working Group-6: Tensile and Mem- brane Structures of the International Association of Shell and Spatial Structures (IASS), the American Society of Civil Engineers’ (ASCE) Aerospace Division’s Space Engineering and Construction Technical Committee, and the ASCE/ACI-421 Technical Committee on the Design of Reinforced Concrete Slabs. He is the Program Chair of the Architectural Engineering Division of the American Society of Engi- neering Education (ASEE). He is also a member of the Structural Stability Research
layer 2 in Fig. 2are dense layers. Fig. 2: A simple deep learning network with two layers Fig. 3: Internal view of neuronIn a neuron, each input will have a weight associated with it as shown in Fig. 3. The weights aremultiplied by the inputs, the products are summed, and a bias is added. The result is typically usedas an input to an activation function. The output of the neuron will be the output of the activationfunction.The activation function will depend on the application of the neural network. In a linear regression,the neural network is trained to output numbers in response to inputs that are also numbers. TheRectified Linear Unit (ReLU) and sigmoid activation functions can be used
Paper ID #5702Vertical assessment of math competency among freshmen and sophomore en-gineering studentsDr. Kendrick T. Aung, Lamar University KENDRICK AUNG is a professor in the Department of Mechanical Engineering at Lamar University. He received his Ph.D. degree in Aerospace Engineering from University of Michigan in 1996. He is an active member of ASEE, ASME, SAE, AIAA and Combustion Institute. He has published over 70 technical papers and presented several papers at national and international conferences.Dr. Ryan Underdown, Lamar University Dr. Underdown is an Associate Professor in the Industrial Engineering
intern previously,Meagan had lots of mentoring, coaching, and support. In this role, Meagan was almost solelyself-managed, and this required tremendous discipline and project management skills. Thetransition of identity is a result of an engineering professional competence (and confidence)garnered through the application of learned content in practice[3]. While every internship rolewill vary, as will the expectation of the intern, the message to take away from this lesson learnedis to have the confidence to speak up, and share your knowledge.ConclusionWith an increase of Engineering Education graduate programs, and an increase in educationtechnology products to meet the needs of the engineering education market, internships in thisindustry are a
, save fuel and improve the environment.Metrics Values (Table 2 above) were computed as follows:Concept metric (C): three parts, C1 thoroughly researched = 1, otherwise = 0, C2 unique =1 otherwise 0 and C3 creative = 1, otherwise = 0.Protocol: Estimate (1) the amount of research completed, (2) the uniqueness of concept and (3)the amount of creativity. Assign either a 1 or zero for each of the three metrics.Time metric (T): < 30 weeks = 1 > 30 weeks = 0Protocol: List all the tasks and milestones to accomplish proposal, design, construction andtesting. Assign time duration to each task in man-hours. Add all the time durations to get totalestimated time. Allotted time equals the number of man-hours available in 4 eight week session
-Fields-With-Applications/Mandrekar-Gawarecki/9781498707817 Gawarecki L., Mandrekar V. (2011) ”Stochastic Differential Equations in Infinite Dimensions with Appli- cations to Stochastic Partial Differential Equations” Springer. http://www.springerlink.com/content/u040lr/#section=823672&page Gawarecki, L.; Mandrekar, V. (2010) ”On the existence of weak variational solutions to stochastic dif- ferential equations”, Commun. Stoch. Anal. 4, no. 1, 1–20. Gawarecki, L.; Mandrekar, V., Rajeev, B. (2009) ”The monotonicity inequality for linear tial differential equations”, Infinite Dimensional Analysis, Quantum Probability and Related Topics, 3 Vol. 12, No. 4 , 1–17. Gawarecki, L.; Mandrekar, V. Rajeev, B. (2008) ”Linear
of online integration platforms such as Wolfram’s Mathematica© intheir own times caused charged discussions in faculty lounges and curriculum developmentcommittees [3], [4]. This tension is healthy and for the most part has led to a balanced,satisfactory product appropriate for its time.Measured change to curricula is further tempered by external organizations that help engineeringdepartments benchmark each curriculum with other peer institutions and against recent feedbackfrom industry. From the highest level, professional licensure and its supporting educationalrequirements anchor engineering curricula. The National Council of Examiners for Engineeringand Surveying’s (NCEES) Fundamentals of Engineering (FE) Exam is the gateway to
mechanical engineeringwithin the School of Engineering and interest in helping our graduates become better prepared tohandle the applied mathematical rigors of engineering graduate school, especially at topinstitutions, a technical elective course entitled Advanced Engineering Mathematics wasdeveloped and has now been taught a total of 3 times. The prerequisites were both MultivariableCalculus (MATH 200) and Introduction to Differential Equations and Linear Algebra (MATH210)1. A survey approach was adopted and topics were selected to appeal to both the needs ofelectrical and mechanical engineering students, and for which there are mainstream textbooksavailable.As part of the content selection exercise, an effort was made to solicit input (via email
Convective Phenomena course, we found they retained these relearned conceptslater, and thus have performed well on the background check quizzes. The e-mail readSome samples of student comments from ESCC Course Evaluations after Fluids II:References[1] R. C. Hibbeler, Engineering Mechanics – Dynamics, 14th Edition, Pearson, 2016.[2] A. Ghosh, “Foundations of Statics – An Assessment Study and Feedback Implementation”,Paper No. IMECE 2016-66302, ASME International Mechanical Engineering Congress andExposition, November 11 – 17, Phoenix, Arizona, 2016.[3] A. Ghosh and E.C. Hensel, “An interpretive assessment of engineering science core courses”,Paper No. IMECE 2009-12939, ASME International Mechanical Engineering Congress andExposition, November 13 – 19
Figure 3, was completed in 1989 in Parisand uses an iris mechanism to activate 30,000 photosensitive diaphragms to control light levels(Ahmed et al., 2016). In this system, photovoltaic sensors have been integrated with linearhydraulic actuators to control the centralized structure, which permits only 10 to 30% of daylightto penetrate inside the building and also prevents solar glare (Decker & Zarzycki, 2013).In 2007, the responsive facade of the Kiefer Technic Showroom by Ernst Giselbrecht (Khoo, 2013)was designed to optimize internal climate situations based on outdoor environmental conditions, 8users’ preferences and facades’ appearance appeals. The perforated aluminum panels of the
teaching experience spans across secondary, adult, technical and higher education. She has presented at state, regional, national and international conferences and has several publications. She has served on ac- creditation committees, K-12 school committees and local community boards and received and managed over two million dollars in federal grants. In addition, Dr. Mosley serves on state and national committees for teacher education.Dr. Mir M. Hayder, Savannah State University Dr. Hayder is an Assistant Professor in the Department of Engineering Technology at savannah State Uni- versity, GA. He received PhD in Mechanical Engineering from McGill University, Canada. His research interest lies in the areas of fluid
prerequisite, and co-requisite. The course name: Statics (CE250 and ME 250). Description from the University Bulletin: “Forces and couples, free bodydiagrams, two- and three-dimensional equilibrium of a particle and rigid bodies. Principles offriction, centroids, centers of gravity, and moments of inertia. Virtual work, potential energy, andstatic stability of equilibrium. Internal forces, shear and bending moment diagrams.” Semestercredit hours: 3; Class hours: 3. Prerequisite: Physics 152, Co-requisite: MA 261.Prerequisite: Physics 152. Description from the University Bulletin: “Statics, uniform, andaccelerated motion; Newton’s laws; circular motion; energy, momentum, and conservationprinciples; dynamics of rotation; gravitation and planetary motion
noteworthy:1. A provisional patent has been secured by PES University for a matured version of the payload conceived as part of the Summer ’16 offering.2. Two articles [21], [22] related to the payload conceived as part of the offerings are published in the proceedings of the AIAA SPACE ’17 Forum. The articles are authored by faculty and students of both collaborating institutions.3. One article [23] related to the payload conceived as part of the Summer ’16 offering was presented at the International Astronautical Congress in Adelaide, Australia and published as part of its proceedings.4. The team engaged in maturing the above payload has won an award at the India Innovation Growth Programme (IIGP) 2.0. As part of this award, the team
AutonomousDriving Car," 2020 5th International Conference on Information Science, Computer Technologyand Transportation (ISCTT), 2020, pp. 1-6, doi: 10.1109/ISCTT51595.2020.00007.[2] T. Treebupachatsakul and S. Poomrittigul, "Microorganism Image Recognition based onDeep Learning Application," 2020 International Conference on Electronics, Information, andCommunication (ICEIC), 2020, pp. 1-5, doi: 10.1109/ICEIC49074.2020.9051009.[3] S. Liu and B. Liu, "Application Analysis of Image Enhancement Method in Deep LearningImage Recognition Scene," 2021 Second International Conference on Electronics andSustainable Communication Systems (ICESC), 2021, pp. 1949-1952, doi:10.1109/ICESC51422.2021.9532597.[4] R. Zhang, W. Xiao, H. Zhang, Y. Liu, H. Lin and M. Yang, "An
before graduation to make the credit countsufficient for graduation. But, the content of the final two years of engineering content wasstructured to avoid specific prerequisite requirements to allow the widest possible range ofstudent participation.Gap Closure PlanAfter discussion, the team decided to mount an aggressive gap closure program that would startin the summer 2012 term and extend through the summer session of 2013. This plan had thepotential of preparing over 50 students for the fall 2013 launch of the accelerated last two yearsof the program. This gap closure program had to be approved by company management since iteffectively added a year to the internal support of the cohort. In the longer term, it was assumedthat future cohorts
assessment of situational intrinsic and extrinsic motivation: The Situational Motivation Scale (SIMS). Motivation and Emotion, 24(3), 175–213.Levesque-Bristol, C., Knapp, T. D., & Fisher, B. J. (2011). The effectiveness of service- learning: It’s not always what you think. Journal of Experiential Education, 33(3), 208–224.Moore, J. (2005). Undergraduate mathematics achievement in the emerging ethnic engineers programme. International Journal of Mathematical Education in Science and Technology, 36(5), 529–537.Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: Applying self-determination theory to educational practice. School Field, 7(2), 133–144.Olson, S