enhancement or any other topic you may find that will make a change in the future operation, reliability or application of your product choice. Use all sources at your disposal, however no general internet sources will be accepted as a reference for your project, for example “Wikapedia[sic]” may not be used as a source but can be used for your general knowledge purposes… The report must be technically oriented toward the topics of the class and a heavy emphasis should be on the technical expertise that you will need to know to work for or service customers that use FPT components in application8…The professor includes the library guide’s url and the librarian’s contact information in hissyllabus and on the
team students raised the funds to build a two-room middle/high school next to their elementary school, which now has 105 middle/high schoolstudents in Honduras. In 2014, the Sky team noted some inadequacies that could help with it. First,their teachers are required to teach the English language, none of their teachers spoke English.Secondly, they had four computers, which only one of them worked, and none of them could accessthe internet. In 2016, Sky team returned to Honduras bringing refurbished computers, which wasused to set up 3 computer labs in three different Honduran schools. These activities gave birth tothe Global Sister School project.The United Nations Education, Science, and Cultural Organization (UNESCO) has issued
students are introduced to computer systemsand programming in a high-level language (Java11). The goal of this second-year course is toprovide students with experience in applying high-level software (in this case, MATLAB12) tothe solution of mechanical engineering design problems.Since its introduction into the B.Sc. in Mechanical Engineering curriculum, “Computing Toolsfor Engineering Design” has been taught in the traditional fashion of 3 hours of lectures perweek, with a single 3-hour laboratory every week. Presently, the course is offered each Fall term(September to December) to approximately 200 second-year students, who are divided into 2lecture cohorts of approximately 100 students and 6 laboratory cohorts of approximately 33students.For
approaches2,10.3. Design of the study3.1 Second-year computing tools for engineering designFollowing research ethics board approval, this study was conducted in the Fall 2015 term in theSchulich School of Engineering second year course, Mechanical Engineering 337 “ComputingTools for Engineering Design” – at the University of Calgary, Canada. This course is acontinuation of the first-year computing course, Engineering 233 “Computing for Engineers”,where students are introduced to computer systems and programming in a high-level language(Java11). The goal of this second-year course is to provide students with experience in applyinghigh-level software (in this case, MATLAB12) to the solution of mechanical engineering designproblems.Since its introduction
engagement strategies in flipped and traditional biomedical engineering courses. She aspires to understand and improve student attitude, achievement, and persistence in student-centered courses.Prof. Stephen J Krause, Arizona State University Stephen Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of introductory materials engineering, polymers and composites, and capstone design. His research interests include evaluating conceptual knowledge, mis- conceptions and technologies to promote conceptual change. He has co-developed a Materials Concept Inventory and a Chemistry Concept Inventory for assessing conceptual knowledge and
InternationalJoint Conference on Artificial Intelligence, Barcelona.[5]. Melville, P., & Sindhwani, V. (2010). Recommender systems. In Encyclopedia of machine learning (pp. 829-838). Springer US.[6]. Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook (pp. 1-35).Springer US.[7]. Schafer, J. B., Frankowski, D., Herlocker, J., & Sen, S. (2007). Collaborative filtering recommender systems.In The adaptive web (pp. 291-324). Springer Berlin Heidelberg.[8]. Segran, T. (2007). Programming Collective Intelligence: Building Smart Web 2.0 Applications. Sebastopol,CA: O’Reilly Media, Inc[9]. Trewin, S. (2000). Knowledge-based recommender systems. Encyclopedia of Library and Information Science:Volume 69-Supplement 32
Paper ID #16949Using a Novel Gravity Model for Ranking and Assessment of EducationalGamesQichao Wang, Virginia Tech Qichao Wang is a PhD student in the Transportation Infrastructure and Systems Engineering program at Virginia Tech. He holds a Bachelor of Engineering in Traffic Engineering from Nanjing Tech University, P.R.China (2014). His research interests include Game-aided Pedagogy, 3D visualization, traffic control, multi-agent system, machine learning and optimization.Dr. Montasir Abbas P.E., Virginia Tech Dr. Montasir Abbas is an Associate Professor in the Transportation Infrastructure and Systems Engineer
,even whole degrees, on-line. A lot of them offer graduate courses and programs online. Some,even at the high-school level, are offering online degrees.LaMeres and Plumb (2014) found out that converting undergraduate digital circuits to onlinedelivery is as effective as in-classroom offerings. They even found the same result for anundergraduate digital systems laboratory using a remote lab approach. Reid (2006) in theElectrical and Computer Engineering Technology Department at IUPUI studied the conversionof two courses (Digital Fundamentals and C++ programming) has gradually changed twocourses from a traditional lecture / laboratory format to an online format. They found that studentsuccess was comparable to success in a traditional format
AC 2008-287: LIFE LONG LEARNING STARTS IN CLASSROOMSWei Zhan, Texas A&M University Dr. Wei Zhan is an Assistant Professor of Electronics Engineering Technology at Texas A&M University. Dr. Zhan earned his D.Sc. in Systems Science from Washington University in 1991. From 1991 to 1995 he worked at University of California, San Diego and Wayne State University. From 1995 to 2006, he worked in the automotive industry as a system engineer. In 2006 he joined the Electronics Engineering Technology faculty at Texas A&M. His research activities include control system theory and applications to industry, system engineering, robust design, modeling, simulation, quality control, and
Paper ID #7863Just-in-Time-Teaching with Interactive Frequent Formative Feedback (JiT-TIFFF or JTF) for Cyber Learning in Core Materials CoursesProf. Stephen J Krause, Arizona State University Stephen J. Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of engineering education design, capstone design, and introductory materials engineering. His research interests include evaluating conceptual knowledge, misconceptions and their repair, and conceptual change. He has co-developed a Materials Concept In- ventory for assessing
. Spreadsheets, per se, are inadequate for tutoring purposes,so Excel's capabilities are extended by using its internal programming language, Visual Basic forApplications.IntroductionEngineering economics is a unique course that requires students to develop mathematical skillsin equivalence modeling, to apply concepts and solve problems using economic criteria, and tomaster rule and memory oriented topics such as taxes. Students must rely on different learningskills, and this makes teaching the course a fascinating challenge. One common thread to the dif-ferent components of the course is that it does not require a physical laboratory, and this makes ita candidate for web based teaching. Computer applications in engineering economics have a long
to be an ideal gas with temperature-dependent specificheat capacities. Two approaches are presented to describe the temperature-dependent properties ofair. The first approach is to use the ideal gas table data from Ref. [1] with a look-up interpolationscheme. The second approach is to use a curve fit with the NASA Lewis coefficients [2,3]. Thecomputer model developed makes use of a bracketing–bisection algorithm [4] to determine thetemperature of the air after compression. This computer code is supplied to the students and dis-cussed after the students have performed a detailed hand calculation. Then, students are requiredto modify the supplied computer program to solve additional problems.The instructional approach outlined in this paper
17.99kW Average (all 4 sources) 10.78kW 13.87kW Average (internet only) 9.75kW 12.50kWBased on the results of the calculations, it was determined that the battery bank and wind turbinetogether must be able to deliver a peak power of between 10kW and 14kW minimum. The solar Page 10.709.4panel is not required to deliver as much peak power as the wind turbine because the peak power “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education
howengineering design methods and tools might be transformed to the on-line format. On-linelearning provides engineers an opportunity to obtain the training they need at the point inprojects where they most need it. The power of learning and using information immediately, as itis needed, is a key to the attractiveness of using the Internet as a delivery mode.Iowa State University has initiated an experimental project with eCollege.com to develop creditand noncredit on-line courses. The Communications and Continuing Education organization andEngineering Distance Education are facilitating the details of the experiment. Two engineeringfaculty members, a team of graduate students, and specialists in distance education, combinedefforts to transform the
enhance student understanding. The paper alsodescribes the use of internet tools to promote peer-to-peer interaction as well as collaborativelearning and teamwork in the class. Strategies for adapting standard collaborative learningtechniques to web-based and web-enhanced courses and the instructor's role in their successfulimplementation in a distance education setting are discussed as well. Finally, the paper discussesthe administrative procedures that were put in place to ensure smooth running of the class andfoster a positive learning experience for both the on-campus and off-campus students.1. IntroductionA variety of social, economic and technological factors are converging to create increaseddemand for long distance education. This
measure these goals we used the following assessment measures: x Common questions on exams x Frequent meetings of the NHV faculty to discuss course philosophy and content x A holistic grading session of writing samples x Collection of final argument papers as part of the CSM portfolio assessment program x Focus groups with students at midterm and end of semester Page 3.312.1 x A survey distributed to all NHV students near the end of the semesterSeveral clear conclusions arose from these assessments: x Students understood the goals and objectives of the course. x When they expressed a
Session 3226 A LIVING LABORATORY Lawrence E. Carlson, Michael J. Brandemuehl Integrated Teaching and Learning Program College of Engineering and Applied Science University of Colorado at Boulder“BUILDING-AS-LAB” CONCEPTThe College of Engineering and Applied Science has recently built a new laboratoryfacility designed to facilitate hands-on, team-oriented learning across all of its sixdepartments. The three-story, 34,400 sq. ft. Integrated Teaching and Learning (ITL)Laboratory opened its doors in January 1997. Its curriculum-driven
. Students’ better comprehension of thesubject matter is reflected in surveys conducted, as well as in students’ performance andsuperior grades. A balanced merging of hand drawing with computer drawing seems togive students the best of both worlds.A recent market survey showed that using Microsoft PowerPoint software capabilities inthis kind of application appears not to have been explored before in that particular way.Discussions with students, publishers, and colleagues in academia provide assertions ofthe potential effectiveness of using this kind of multimedia presentations in deliveringEngineering Graphics courses.Preparing SATALA PowerPoint slides for Engineering Graphics courses is a very timeconsuming process. However, any time and effort
from UVA. All of his earned degrees are in engineering. In 2000, Dr. Groves co-founded Directed Vapor Technologies International (www.directedvapor.com), based upon his Ph.D. research and four U.S. patents derived from that research. Since 2002 James has been the director of distance learning in UVA’s engineering school, a responsibility that includes adminis- tration of the school’s participation in the master’s level Commonwealth Graduate Engineering Program and the bachelor’s level Engineers PRODUCED in Virginia initiative.Dr. Leigh R Abts, University of Maryland, College Park Dr. Abts received his Bachelor’s of Science in 1973 from Brown University. In 1982, he graduated with his Doctorate in Engineering from
, Internet of Things, Time-series Data Mining and Analytics Applications in Healthcare. His research has been funded by federal and state agencies, and private industry. He has taught courses in the areas of systems modeling, analysis and simulation, information systems, predictive analytics and dynamic systems. He also co-authored, Design of Industrial Information Systems, by Elsevier named the Joint Publishers textbook of the year.Rafael Braga Gomes Rafael Braga Gomes recently received a B.S. degree in Mechanical Engineering from the University of South Florida (USF). He currently works as a Project Engineer focused on HVAC design for new constructions and renovations. Before transferring to USF, he was recognized as
, J. (2007). “Preparing People for Rapidly Changing Environments,” Journal of Engineering Education, ASEE, Vol. 97, No. 1, 1-3.8. Katehi, L. and Ross, M. (2007). “Technology and Culture: Exploring the Creative Instinct through Cultural Interpretations,” Journal of Engineering Education, ASEE, Vol. 97, No. 2, 89-90.9. Hanson, J. L. (1999). “Early Experimentation in Civil Engineering Materials,” Proceedings of the American Society of Engineering Education National Conference and Exposition: Engineering Education to Serve the World, p. 1935-1943.10. Pullen, J. M. (2001). “Applicability of Internet Video in Distance Education for Engineering,” Proceedings, 31st ASEE/IEEE Frontiers in Education Conference, T2F-14-19.11. Felder, R. M
require all the sections to use the same syllabus, calendar,homework, and exams. We typically offer six to eight sections of ES201 during the Fall termand one or two trailer sections in the Winter term.From this survey, we learned that faculty members who teach this foundational course have anoverwhelmingly positive attitude toward it. The authors could not find research on why somecurricular innovations survive long past the funding and the participation of the program devel-opers. Our survey has provided insight into why this is the case for our sophomore engineeringcurriculum. From this data we have identified two primary reasons: 1. Faculty members buy into the approach and recognize its value, as evidenced by its strong impact on
, ACL. And PBL pedagogical techniques as “students” in the workshop Experience examples of entrepreneurial mindset course integration Analyze unfamiliar situations and open-ended problems using various methods to define the “true” problem statements Interact as part of an interdisciplinary team with members from multiple institutions and backgroundsThe workshop was made up of 23 faculty representing different engineering disciplines from 11different universities. While the author has over 28 years of experience in ABET accreditedengineering programs, there were many new pedagogical techniques that the workshopparticipants experienced in individual and group activities over the three
-active demonstrations are presented, fromgrabbing some coffee stir sticks on the way to class to building an interactive shear wall anddiaphragm model for use in the classroom.Since readers likely have their own ideas for experiential demonstrations, this paper will remainactive “on the cloud.” The authors invite future contributions thereby making it a livingrepository. Since it will remain active on the internet, other media can also be easily added, suchas videos and links to augmented reality/VR applications or other applications utilizing futuretechnologies.Link to this Living Collaborative Paper Containing A Database of Demonstrations:http://bit.ly/structural-demos
usually constrained to fingertips, earlobes, or other locations for which commercial transmittance probes are already constructed.This paper presents the novel design and initial application of a high-performance, wirelessreflectance pulse oximeter that exhibits a filter-free design and offers full access to relevantwaveform data. A unique embedded control system extracts the DC (baseline) and AC (time-varying) signal components from the original reflectance signal without the use of any analogfilter circuitry, ensuring high-fidelity pulsatile waveforms that can offer several thousand peak-to-valley digitization levels. All red and near-infrared signal data can be stored on the unit ortransmitted in real-time to a personal computer via a wireless
the design of the experiment so that each event ispresented to the students in a systematic manner. The outline, which becomes the writtenexperimental procedure, has the following sections.(a) Learning Objectives: The expected knowledge that the students will gain from theexperiment including a deeper understanding of one-to-two concepts explored in the experiment.(b) Preparation: The sections of the textbook in which the concepts are discussed are identified.(c) Background: A brief explanation of the theory is presented along with a short discussion of Page 22.993.3the practical applications of the theory in day-to-day life, products used
?Like all educational institutions across the world, the California State University MaritimeAcademy (CSUM), has the same questions and concerns, especially in the context of its EPO-125 (Introduction to Marine Engineering course). While EPO-125 is paramount for aspiringmarine engineers, it’s fundamentally rich in academic and technical content, while also requiringpractical hands-on application to cement course material. Unfortunately, compared to chemistryor mathematics, Marine engineering is not a popular subject, resulting in a lack of relevant andcurrent textbooks. Traditionally, in lieu of textbooks the students utilized online resources suchas Google and YouTube. According to informal student surveys and discussions, ChatGPT isnow the de
the 6000 meters in 17 minutes and an operational service of 10,000 meters.Figure 5. Arado Ar 68 (top) and Some of the features that brought about innovatingHeinkel He 51 (bottom). differences were the incorporation of the enclosed cockpit, which was something that many pilots foundstrange at the time but demonstrated to have great benefits for the design. Retractablelanding gear was another major improvement compared to the Arado’s and the Hinkel’s fixed landing gear. Figure 6. Messerschmitt Bf 109 Variant E model renderings from CREO 2.0 Educational Applications and ExperienceThe Aerospace Engineering Capstone program at the
project.Our codebase consists of three main repositories, our front-end website, our application programminginterface, and our documentation. Our front-end website is built using Next.js, an open-source frameworkthat extends the functionality of React. The application programming interface is built using Flask, apython framework for lightweight APIs, and SQLAlchemy, a python library that serves as a SQL ORM.And our documentation is written in YAML according to version 3.0 of the OpenAPI specification.In Fall 2021, the project had approximately twenty students working under three undergraduate studentleaders, one graduate student, and three faculty members.The student leaders were each assigned a focus area on the project and assisted the faculty in
Machine Learning for Kids [17], a learning environment thatprovides detailed instructions for students to generate machine learning projects in Scratch andother programming languages. The researchers selected activities since the activities had imageclassification and supervised learning components. The instructor assigned approximately half ofclassroom to each activity and invited students to move to a different table if they wished to dothe activity that they were not assigned, leaving agency for students to select their activity. Nostudents changed tables. Car or Cup? is a game in which students select images (sourced fromthe internet) of cars and cups and use those images to train a machine learning model that sortscars and cups on a