fields oftenwork across different business units and cultures, which requires strong CPS skills to solvecritical problems. Despite this importance, more effective and personalized teaching methods forCPS skills are needed. In this paper, we present a pilot study that provides an approach forteaching CPS tailored to data scientists. Inspired by the Program for International StudentAssessment (PISA) CPS framework, we’ve designed a specialized module to teach students aboutcritical CPS skills and best practices in applying these competencies at the early stages of acollaboration. Our study examines the module’s effectiveness in cultivating CPS competenciesamong students. [Students exposed to CPS best practices demonstrated an ability to
their problems because they are adults [31]. However, one studyhighlighted that some faculty members believe that international students deserve moredepartmental consideration than they currently receive, recognizing the extra challenges theyface [33]. No matter what the approach is, faculty members play a critical role in the success ofinternational students, and their attitudes and approaches can have a significant impact on thestudents' experience and academic achievements.Faculty from hard sciences may have less empathy for the challenges faced by internationalstudents. Evidence suggests that some faculty members in engineering departments believe thatdomestic students may be deterred from enrolling in their programs if the number
). SUSTAIN SLO: Reenergizing Learning, Proceedings ASEE National Conference, Seattle, WA. 1–29.[8] Cress, C. M. (2008). Creating inclusive learning communities: the role of student–faculty relationships in mitigating negative campus climate. Learning Inquiry, 2(2), 95–111.[9] Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M. (2009). Educating Engineers: Designing for the Future of the Field. San Francisco: Jossey-Bass.[10] Schlemer, L. (2012). Study of mode of teaching in Cal Poly classrooms. Unpublished study.[11] Hall, E.T. (1976). Beyond Culture. Anchor Books: Garden City, NY.[12] Senge, P., Cambron-McCabe, N., Lucas, T., Smith, B., Dutton, J., & Kleiner, A. (2000). Schools That Learn: A Fifth Discipline Fieldbook for
California, Irvine Engineering Researcher at University of California, Irvine. Page 23.680.1 c American Society for Engineering Education, 2013 Image Processing and Math CoursesAbstractThis paper demonstrates the importance of high school level algebra and trigonometry in solvingimage processing problems. The detection of lines and curves in an image is a fundamentalproblem in image processing. The problem is often solved by using the polar coordinate system. Inthe simplest case, the picture contains a number of discrete black points lying on a whitebackground. The goal is to
devices, todiscuss various options to increase energy efficiency, to examine ways to save energy andmoney, and to explore approaches to maintain and protect the environment.There is a prescribed text book for this course 3. Most of the reference materials and lectureslides are posted on the web and are delivered via the course management program: A NewGlobal Learning Environment (ANGEL). ANGEL was developed by Cyber Learning and wasadopted as the course management system by The Pennsylvania State University.Instructional Design The face-to-face sections of this course have been popular due to the warmth
many engineering andcomputer science. Video creation posed more work and time for both students and instructors;however, there are educational benefits of requiring students to review and explain their work: itprovides authentic engineering communication practice and seeds a habit of metacognition.Introduction and Related WorkEducators design pedagogical methods, activities to support student learning, and assessments ofstudent learning, while often considering the theoretical framing of how students learn. Whileengineering and computer science learning experiences include hands-on, practical experienceswith active learning exercises, laboratory work, experiments, projects, and internships, examsremain a primary tool for assessing students
completely omitted because distance education applied equally to both groupsand individuals. The definition of Vnduin and Clark will be used for purposes of this paper.The California Distance Learning Project in 1997 reviewed some of the research on successfulstudents in distance education programs and found that the students were typically voluntarilyseeking further education, are motivated and are more disciplined, tend to be older than theaverage student, and tend to possess a more serious attitude toward their courses (Palloff & Pratt,1999). Nipper (1989) describes these successful learners as “noisy learners”, that is one who isactive and creative in the learning process. According to Star Roxanne Hiltz (1993) participationin on-line
specifically to him. Out of this ˜$12m, ˜$5.45M has been allocated to the University of Toledo. These projects have been funded by various agencies including the NSF (National Science Foundation), AFRL (Air Force Research Lab), NASA-JPL, Department of Energy, and the State of Ohio. He also played a critical role in the cultivation of a private gift to support the CSTAR lab for cyber security research. He has published more than 90 peer-reviewed journal, conference, and poster papers. He has also served as a reviewer for several high impact journals and as a member of the technical program committee for several reputed conferences.Xiaoli Yang ©American Society for Engineering Education, 2023
.[8] S. A. Atwood, M. T. Siniawski, and A. R. Carberry, “Using standards-based grading to effectively assess project-based design courses,” in 2014 ASEE Annual Conference & Exposition, 2014.[9] T. Guskey, “Closing achievement gaps: Revisiting Benjamin S. Bloom’s ‘Learning for Mastery,’” J. Adv. Acad., vol. 19, no. 1, pp. 8–31, 2007.[10] A. R. Carberry, M. Siniawski, S. A. Atwood, and H. A. Diefes-Dux, “Best practices for using standards-based grading in engineering courses,” in 2016 ASEE Annual Conference & Exposition, 2016.[11] D. Lewis, “Student anxiety in standards-based grading in mathematics courses,” Inno. High. Educ., 2019.[12] B. S. Bloom, “Time and learning,” Am. Psychol., vol. 29, no. 9, pp
evaluation results using pre and post knowledgeassessment tools in sections graded with SBG method and sections with traditional method.Introduction Laboratory based courses are an essential part of an engineering education. More andmore engineering programs are placing greater emphasis on the importance of hands-onexperience offered by laboratory courses. Compared to the efforts and resources invested inpurchasing expensive state-of-the-art lab equipment and developing innovative lab modules,little attention is paid to assessing student learning and reflecting on the teaching methods in labcourses. Without careful design and assessment, instructors are more likely to push students intobusy work, without achieving real learning and
Profiling and Targeted Advertising on LinkedIn: A Literature Review Eric Uwayezu Dr.Dan Tenney Dept.of Engineering and Dept.of Engineering and Technology Management Technology Management University of Bridgeport University of Bridgeport euwayezu@my.bridgeport.edu dtenney@bridgeport.edu I. INTRODUCTIONAbstract-- As the digital landscape changes, privacy concerns in Incorporating, Machine learning is a subset ofmachine learning applications need to be focused on
Technology, Haifa, Israel. He is Lecturer and a Curriculum Designer with the NEET program, School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, where he teaches thinking skills to undergraduate students. His research interests in STEM education involve the fostering and assessment of thinking skills involved in complex problem-solving, with special focus on systems thinking, creative thinking, and metacognition. His doctoral research received several awards, including the Zeff Fellowship for Excelling First-year Ph.D. Students and the Miriam and Aaron Gutwirth Fellowship for Excelling Ph.D. Students. Rea is also the inventor of the SNAP Method® for structured creative problem-solving (US & UK
Paper ID #42855Re-Envisioning Materials Science Education Through Atomic-Level ComputationalModelingMr. Jacob Kelter, Northwestern University Jacob Kelter is a PhD candidate at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both relatedProf. Jonathan Daniel Emery, Northwestern Univeristy Jonathan Emery is an Associate Professor of Instruction in Materials Science and Engineering at Northwestern University. ©American Society for
been effectively coupled with interactive computersimulations to achieve strong learning gains.20 In an introductory engineering design course21 aswell as both undergraduate and graduate level Food Engineering courses,22 InkSurvey has been Page 23.1328.11successfully employed as part of a larger effort to implement the “How People Learn”framework.Since real-time formative assessment collected with InkSurvey is blind to gender, personalitybiases, and other stereotypes, it is proving to be a particularly effective tool in group andcooperative learning environments. For example, it has served well as the platform for“electronic brainstorming
to their studies. Withthis, students enter the workforce with far more realistic understanding of why decisions that areoptimal from a purely engineering perspective may not, in fact, be the right decisions for theelectricity control area in which they are working.The Oregon Institute of Technology was the first university in the US to offer an ABET-accreditedBachelor of Science degree in Renewable Energy Engineering. Students in this program may takean elective course (typically taken in their junior or senior year) that covers the regulatoryframework of electricity markets in the United States, including the restructured regulation thatallows many areas to function as competitive markets in the purchase and sale of electricity.In this
; Security, Associate Editor of Transactions on Cognitive Communications and Networking, Associate Editor of IEEE Transactions of Service Computing, Editor of IEEE Internet of Things Journal, Editor of IEEE Communications Letters, Associate Editor of IEEE Transactions of Network Science and Engineering and Technical Editors of IEEE Network, and Associate Editor of ACM Transactions on Intelligent Systems and Technology. He has been in Organizing Committees for several IEEE flagship conferences such as IEEE INFOCOM, IEEE CNS, IEEE ICC, IEEE GLOBECOM and so on. He served as a technical program committee (TPC) member for several international conferences including IEEE INFOCOM, IEEE GLOBECOM, IEEE CCNC, IEEE GreenCom, IEEE
Excellence for Product Design and Advanced Manufacturing (CEPDAM) to showcase her research work in a promotional video series named “Women in Design and Manufacturing” during the Women’s History Month. Andrea has received several teaching, mentoring, and research excellence awards to include the 2021 Outstanding College of Science and Technology Faculty STEMinist Mentoring Award, the 2020 National Association of Home Builders (NAHB) Outstanding Educator Award, the 2020 NC A & T Junior Faculty Teaching Excellence Award, and the 2019 NC A & T Outstanding Young Investigator Research Excellence Award. Dr. Ofori-Boadu is currently the Director of the year-round Professional Development Program for undergraduate
, and Consultant Engineer. Dr. Najafi taught at Villanova University, Pennsylvania, and was a visiting professor at George Mason University and a professor at the University of Florida, Department of Civil and Coastal Engineering. He has received numerous awards, such as Fulbright scholarship, teaching awards, best paper awards, community service awards, and admission as an Eminent Engineer into Tau Beta Pi. The Florida Legislature adopted his research on passive radon-resistant new residential building construction in the HB1647 building code of Florida. Najafi is a member of numerous professional societies and has served on many committees and programs; and continuously attends and presents refereed papers
Paper ID #13762SHAvisual: A Visualization Tool for the Secure Hash AlgorithmDr. Ching-Kuang Shene, Michigan Technological UniversityDr. Chaoli Wang, University of Notre Dame Dr. Chaoli Wang is an associate professor of computer science and engineering at University of Notre Dame. He received a Ph.D. degree in computer and information science from The Ohio State University in 2006. Prior to joining Notre Dame, he was a postdoctoral researcher at University of California, Davis (2007-2009) and an assistant professor of computer science at Michigan Technological University (2009-2014). Dr. Wang’s main research interest is
Plus is the software that was used to create this simulated math program 15. The testswere designed for students between the 6th and 8th grade. Some questions on the test were lowdifficulty and required low-level cognitive thinking to complete. Most, if not all, of thoseproblems can be computed quickly using mental math because they only require one step toanswer. However, other questions were high difficulty and required high-level cognitive thinkingto complete. Most, if not all, of those problems cannot be computed quickly using mental mathbecause they require multiple steps to answer. In many cases, pencil and paper may be needed todevelop an answer. We then used a web camera to monitor eye gaze and pose, which was used toestimate
Paper ID #17868What’s So Funny About STEM: Examining the Implementation of Humor inthe ClassroomMs. Carrie E Sekeres, Embry-Riddle Aeronautical Univ., Daytona Beach Carrie Sekeres graduated with a B.S. in Aerospace Engineering, with a concentration in Astronautics, from Embry-Riddle Aeronautical University, where she also works as a research assistant in the Engi- neering Fundamentals Department. Ms. Sekeres interned in the Integration Engineering branch of the Launch Services Program Directorate, working to develop and implement a working online collaboration space for several of the branches at Kennedy Space Center. Ms
AC 2009-1241: DISASTER PLANNING FOR A LARGE METROPOLITAN CITYUSING TRANSIMS SOFTWARELok PASUPULETI, Northern Illinois UniversityOmar Ghrayeb, Northern Illinois UniversityClifford Mirman, Northern Illinois UniversityHubert Ley, Argonne National LaboratoryYoung Park, Argonne National Laboratory Page 14.494.1© American Society for Engineering Education, 2009Disaster Planning for a Large Metropolitan City Using TRANSIMS SoftwareAbstractOver the past decade the United States has endured many disasters, both man made and due tothe forces of nature. In each case, leadership in the public and private sectors learn that moreneeds to be done to ensure continuity of life and economy
directly from equation (13) instead of the volume from equation(6). The predicted volubility can then be calculated through equation (5). The iterative procedure is continueduntil the predicted volubility at the end of an iteration is equal to the estimate at the start of the iteration to withinsome prescribed tolerance.Experimental Apparatus and Procedure Volubility experiments at MSU are carried out using a Dense Gas Management (DGM) System and a 300 3cm extraction vessel, both designed and constructed by Marc Sims SFE, Inc. (Berkeley, CA). This system isdesigned to safely withstand pressures of up to 6000 psig and temperatures of up to 10O”C. Thus, a variety ofsupercritical solvents could be handled with the equipment. A schematic of the
Physics Division, Washington, DC 20234, 1983.[2] D. C. Hittle, "The Building Loads Analysis and System Thermodynamics (BLAST) Program", Reference Manual, CERL-TR-E-119, Volume II," Construction Engineering Research Lab, Champaign Ill, 1977.[3] O. AlZahrani, "Energy simulation in buildings: overview and BLAST example," Energy Conversion and Management, vol. 42, pp. 1623-1635, 2001.[4] D. A. York, E. F. Tucker and a. C. C. C. (editors), "DOE-2 REFERENCE MANUAL (Version 2.1A) Part 1," Los Alamos National Laboratory, Los Alamos, NM 87545.[5] M. Deru, R. Judkoff and P. Torcellini, "SUNREL™ Technical Reference Manual, NREL/BK-550- 30193," National Renewable Energy Laboratory, 2002.[6] Energy Plus Development Team (EPDT), "EnergyPlus
the current Undergraduate program director. He received his B.S. in Biology and Chemistry from St. Francis College in Ft. Wayne, Ind. and his Ph.D. in Physiology from the University of Arizona. Dr. Guilford did his postdoctoral training in Molecular Biophysics at the University of Vermont under David Warshaw. His research interests include the molecular mechanisms of cell movement and muscle contraction, and effective and efficient means for education. Page 23.712.1 c American Society for Engineering Education, 2013 Improved retention and recall with a peer reviewed writing
AC 2010-2387: ASSESSMENT OF BOUSSINESQ APPROXIMATION IN A FLUIDMECHANICS COURSEMysore Narayanan, Miami University DR. MYSORE NARAYANAN obtained his Ph.D. from the University of Liverpool, England in the area of Electrical and Electronic Engineering. He joined Miami University in 1980 and teaches a wide variety of electrical, electronic and mechanical engineering courses. He has been invited to contribute articles to several encyclopedias and has published and presented dozens of papers at local, regional, national and international conferences. He has also designed, developed, organized and chaired several conferences for Miami University and conference sessions for a variety of
willincreasingly expect AI engineers to navigate policy requirements. Given that, to our knowledge,this approach has not been previously investigated, we made the intentional decision to developour curricular module around AI ethics and AI policy as dual foci.MethodologyStudy DesignThe AI Policy Module described below is designed to integrate discussions on ethics and socialimplications of AI into a ‘technical’ AI/ML course, providing students with opportunities toconnect the methods and algorithms learned in class with ‘real-life’ impacts. As such, we pilotedthe module at the end of a graduate-level machine learning course (“ML 1”). ML 1 covers avariety of foundational topics in machine learning, including supervised learning (regression,classification
collected from 59 students enrolled in a sophomore-level Digital Design coursefor Electrical Engineering majors was the focal point of this study.The single-submission homework method (SSHM) resembles the structure traditionally used inclasses. Students are assigned homework, to be submitted once, that will be graded based onaccuracy and completion. The DSHM assignment, however, features two distinct portions.Students will complete their initial submission, which is graded based on effort and completion.The solution key for a DSHM assignment is released by the instructor after the initialsubmission. The students must then submit a corrected version of their initial assignment for thesecond portion of their homework grade. This corrected submission
Hydrokinetic Renewable Energy Application in Bangladesh Waliur Bhuiyan Rachmadian Wulandana Mechanical Engineering Program Mechanical Engineering Program SUNY New Paltz, NY SUNY New Paltz, NY New Paltz, NY, USA New Paltz, NY, USA bhuiyanw1@newpaltz.edu wulandar@newpaltz.edu The burning of fossil fuels to generate electricity has been Electricity consumption is on the rise in Bangladesh duearound for some time in society. The method of using fossil fuels to its economic development and population growth. Newhas proven to be reliable
Paper ID #43281The Intersection of Smart Home Technology and the Disabled PopulationJacquelyn Williams Trost, North Carolina Agricultural and Technical State University Jacquelyn Trost is a graduate student at North Carolina A&T University, pursuing a master’s degree in Information Technology. She is a resident of High Point, NC. ©American Society for Engineering Education, 2024 The Intersection of Smart Home Technology and the Disabled Population Jacquelyn Trost North Carolina A&T