experiential learning,” in Theories of group processes, C. Cooper, Ed. New York: John Wiley & Sons, 1975.[11] H. S. Kuk, Ed., “A dissection of experiential learning theory: Alternative approaches to reflection.,” Adult Learn., vol. 29, no. 4, pp. 150–157, 2018.[12] J. H. Fede, K. S. Gorman, and M. E. Cimini, “Student employment as a model for experiential learning,” J. Exp. Educ., vol. 41, no. 1, pp. 107–124, 2018.[13] M. Gadola and D. Chindamo, “Experiential learning in engineering education: The role of student design competitions and a case study,” Int. J. Mech. Eng. Educ., vol. 47, no. 1, pp. 3–22, 2019.[14] J. M. Hollister, L. I. Spears, M. A. Mardis, J. Lee, C. R. McClure, and E. Liebman, “Employers’ perspective on
current understanding and effectively changes delivery, as necessary. • Adjusts course delivery or activities to meet students’ different educational backgrounds and learning needs.Looking at the elements above, consider the following prompts: • To what extent do these elements relate to my teaching? • Which elements would I like to learn more about?Choose 1-3 elements from the list and reflect in the box below.Active Learning • Responsive to student engagement and adjusts strategy accordingly. • Facilitates student-led explanations and/or discussions. • Active learning exercises align with lesson learning objectives. • Designs and monitors active-learning exercises to ensure everyone is included and
, whereas the ego network on the right has a density of 1. Gray lines represent theconnections between the ego’s alters. The ego node has been removed from both images and theego-alter relationship is implied.MethodsIn order to study the relationship between social networks and student success, our team sent outan anonymous survey to engineering transfer students at a mid-sized, Mid-Atlantic University.The survey was designed using Qualtrics and consisted of a series of questions to answer ourresearch questions: 1) How do the social networks of lateral and vertical transfer students differfrom one another? and 2) What is the correlation between a transfer student’s social network andtheir experience of transfer shock?The full survey can be found in
designed tosolve differential equations. In 1989, during the university transition to the semester system, thefaculty combined these two courses into the course described in this paper. MATLAB on aVAX mainframe system was started in 1992 with the migration to the PC version in 1996. Thecurrent prerequisites for the combined course are beginning courses in computer programming(FORTRAN or C), engineering dynamics, and ordinary differential equations. System simulationis accomplished using MATLAB’s ordinary differential equation (ODE) solvers, primarilyODE23 and ODE45, in a just-in-time, balanced presentation mode. In the current curriculum,this is the ME students’ introduction to MATLAB and also serves as the foundation for its lateruse in other ME
least equivalent to introductory calculus. The additional math- ematics might include course work in areas such as calculus, linear algebra, numerical methods, probability, statistics, or number theory. c. Science: At least six semester credit hours (or equivalent) in natural science course work intended for science and engineering majors. This course work must develop an understanding of the scien- tific method and must include laboratory work.data and its analysis is not necessarily reported in the self-study. Instead, the data and evidence ofits evaluation and, potentially, its usage to make programmatic change should be available duringthe on-site visit. The self-study focuses on the processes the institution has in
–73, 2003.[26] J. Sabel, J. Dauer, and C. Forbes, “Introductory biology students’ use of enhanced answer keys and reflection questions to engage in metacognition and enhance understanding,” Cell Biology Education, vol. 16, p. ar40, 2017.[27] J. Zarestky, M. Bigler, M. Brazile, T. Lopes, and W. Bangerth, “Reflective writing supports metacognition and self-regulation in graduate computational science and engineering,” Computers and Education Open, vol. 3, p. 100085, 2022.[28] C. L. Rasmussen and P. W. Stewart, “Metacognitive prompts within an online course,” Journal of the International Society for Teacher Education, vol. 22, p. 19–29, 2018.[29] E. Huang, H. Valdiviejas, and N. Bosch, “I’m sure! automatic detection of
picture of strengths and weaknesses of the student at the end of asemester. The portfolio is a useful tool for individual students to assess what remediation is needed beforemoving on to subsequent courses. The portfolio data has shown that all the mechanics courses haveconcepts that are routinely mastered by all students and some concepts that are mastered by only a few.The objective-by-objective account of mastery is much more telling of what mechanics students can doafter they take these courses than a single final grade is. The portfolio generated by the mastery-basedgrading system is a promising tool for understanding and advancing student learning in mechanics andcould be productively applied in many other engineering courses.References[1
. Torey D. Jacques, San Franciso State University Torey D. Jacques is a mentorship coordinator in the College of Science and Engineering (CoSE) at San Francisco State University. He received his formal training and certification to implement research mentor training through the National Research Mentoring Network (NRMN). He is currently training mentors to develop effective strategies in collective problem solving and connecting them with resources to help optimize their individual mentoring practices.Prof. Ilmi Yoon, San Francisco State University Professor Ilmi Yoon, Professor of Computer Science at San Francisco State University (SFSU), is an expert in gamification and game development, particularly in interactive
AC 2008-2024: USING MICROTUBULES TO ILLUSTRATE POLYMERPROPERTIESYoli Jeune, University of Florida Yoli Jeune is currently a PhD candidate at the Department of Materials Science and Engineering of the University of Florida. She has received a Bachelors degree in Clinical Laboratory Sciences (1999) and a Masters degree in Secondary Science Education with a concentration in Biology (2002) from the University of South Florida. She worked for 3.5 years at the Hillsborough County School District in Florida teaching Biology and Chemistry to High School students. She is a recipient of the McKnight Doctoral Fellowship, Alfred P. Sloan, and Alliance for Graduate Education and the Professoriate
,faculty do not have to be on-site when the internships are carried out, although we are involvedin finding companies and locations where our students will have good experiences and will besafe during their stay. Page 11.1457.8References1. Kolb, Experiential Learning, Englewood Cliffs, NJ, Prentice Press, 1984.2. Tsang, Ramage, Johnson, Litchfield, Newman, and Dubose, Integrating Service Learning intoIntroduction to Mechanical Engineering, 1996 ASEE Annual Conference Proceedings, Session3253.3. Nagchaudhuri and Conway, Teaching Tools for Teachers – An Engineering Design Project toEnhance Science and Mathematics Education for Middle/High School
their stability and efficiency [7]. From a university’s perspective, its tie to the industry goes beyond grants. Univer-sity engineering, mathematics, and economics programs have been widely criticizedfor lack of practical training. Its goal focuses more on students’ understanding ofempirical conclusions in each discipline, but less on students’ skills of creativelyapplying their knowledge for solutions of real world engineering problems. How-ever, these skills are what industrial firms really hope to find from their prospectiveemployees. This is referred as gap between graduates’ readiness and industry’srequirement and has been studied in the areas such as software engineering [11].Overall, science, technology, engineering, and mathematics
first classassessed during the fall semester of 2007 (N = 39). The second was also on Introduction toAstronomy Class. This class was assessed during the month long inter-term in January 2008 (N= 91). The final class assessed during the spring semester of 2008 was entitled Principles ofEngineering (N = 11). The Introduction to Astronomy classes were primarily comprised of non-science majors who were taking the astronomy course to fulfill a general education requirement.The Principles of Engineering class was comprised of engineering majors. A within-groups pre-test post-test design was used to quantitatively assess all three classes using the HARPAssessment Instrument. An interview protocol produced during the fall of 2007 was used toconduct 9
-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Educationstorage. Kumar et. al. (2004)1 illustrated the advantage of injecting CO2 in the bottom part of anaquifer. The injected CO2 will rise toward the top, leaving behind a residual saturation. In aproperly designed process, all the CO2 will become trapped or dissolved in the brine before itreaches the top.Buoyancy is the driving force behind CO2 rising in these aquifers due to the density differencebetween CO2 at aquifer conditions and water. The density of CO2 at aquifer conditions isapproximately 700 kg/m3 and water is about 1000 kg/m3. The velocity at which CO2 rises
AC 2009-23: HANDS-ON SIMULATION TO DEMONSTRATE KEY METRICSFOR CONTROL OF ANY PROCESS UTILIZING LEAN AND SIX SIGMAPRINCIPLESMerwan Mehta, East Carolina University Merwan Mehta, Ph.D., is an Associate Professor at East Carolina University in the Technology Systems Department in Greenville, NC. Prior to joining academics, he has over twenty years of experience in business and industry working as an industrial engineer, machine tool design engineer, manufacturing engineer, manager, project manager, project director, vice-president and consultant. His present research interests are enhancing manufacturing and business processes through lean principles and theory of constraints, and the pursuit of quality and
Oklahoma in 1999. Dr. Savelski has seven years ofindustrial experience working first as process engineer for SADE Skanka and later on asquality and technology engineer for Kellogg. He joined the Chemical EngineeringDepartment at Rowan University as Assistant Professor in 1999.References[1] Harwood, John, Ramón Aparicio, Handbook of Olive Oil: Analysis and Properties,pp. 491-513, 1999, [11/02]. Available ISBN 0-8342-1633-7[2] Martinez Moreno, J.M., et al. Estudeios fisico-quimicos sobre las pastas de aceitunasmolidas. V. Afinidades entre las fases solidas y liquidas. 1957. Grasas Aceites 8, 155-161[3] International Olive Oil Council. Designations and definitions of olive oil.http://www.internationaloliveoil.org/oliveworld_usingoil.asp[4] Perry
tools, and the video link setup. We alsodescribe a typical user’s experience across the web, discuss plans for extended web-basedexperiments and give suggestions for creating and maintaining a successful web-basedexperiment at another institution.IntroductionThe World Wide Web (WWW) is a growing vehicle for distance education, but most effortshave treated the web as a communications channel, not as a means for tele-presence. BostonUniversity has been developing several photonics experiments that demonstrate basic principlesof science and engineering through active experimental control over the WWW. Visitors to ourweb-site have real-time control over scientific equipment using their basic web-browsers, andreceive observed data across the web. We
. “Online Engineering Education: Learning Anywhere, Anytime.” Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 131-146.4 Yoshioka, T., H. Nishizawa, and T. Tsukamoto. “Method and Effectiveness of an Individualized Exercise of Fundamental Mathematics.” Community College Journal of Research and Practice, Vol. 25, No. 5/6, 2001, pp. 373-378. Page 14.711.165 Pferdehirt, W. P. “Engineering Education Goes the Distance.” Machine Design, Vol. 78, No. 15, 2006, p. 47.6 KhNigim, N., G. T. Heydt, and J. Palais. “E-Learning Opportunities for Electric Power Engineers.” IEEE Transactions on Power Systems, Vol. 22, No. 3
. This study provides guidance on DSA related program development and curriculum design. It also provides the potential trainees in DSA with the current market needs and the required knowledge for their future career.1. Introduction: There is rapid growth massive data generation and data collections from manyfields, such as web-based social informatics, search engines, satellite data, health sciences,biology, and biomedical informatics. The data is not huge in size but also complicated withvarious data types and uncertainties. It is an important and challenge to extract valuableinformation from the large data volume. Applied Data Science and Analytics (DSA) has beenemerging developing discipline, which applies modern, data
, October 2003, Vol. 19, Issue 1, pp. 83-89[8] Stein, M. Using Large vs. Small Group Projects in Capstone and Software Engineering Courses. The Journal of Computing Sciences in Colleges, March 2002, Vol. 17, No. 4, pp. 1-6[9] Turban, E, D. Leidner, E. McLean, & J. Wetherbe. Information Technology for Management. Transforming Organizations in the Digital Economy, 5/e. John Wiley & Sons, 2006[10] Tuttle, S. M. Practical Lessons from Experience with the Database Design Course Project, The Journal of Computing Sciences in Colleges, vol. 18, no. 2, December 2002, pp. 32-42 9[11] Zlatarova, F. Introducing Ethics in Computing
Due to the age of the house, traditional window styles arespeaking with the representatives of Worcester Friends primarily used. There are 29 double-hung windows in theMeeting to define the specific issues to be investigated, a meetinghouse, a design that features two vertically slidingstudent team was assembled representing four different sashes. All of the windows are made of softwood, a designprograms: Civil and Environmental Engineering, Architectural that requires regular maintenance to prevent wear. TheEngineering, Electrical and Computer Engineering, and windows located in the basement and staircases are
in a number of K-20 educational initiatives designed to increase and broaden participation in STEM fields.Carissa B. Schutzman (Senior Research Associate)Keren Mabisi © American Society for Engineering Education, 2022 Powered by www.slayte.com Description, assessment, and outcomes of three National Science Foundation Research Traineeship (NRT) components: transferable skills course, interdisciplinary research proposal and project, and multidisciplinary symposium1. IntroductionThe University of Kentucky (UK) NRT aims to enhance graduate education by integratingresearch and professional skill development within a diverse
Aerodynamics: A Design/Build/Test Experience forUndergraduate Mechanical Engineering Students”, 2006 Annual Conference & Exposition,Chicago, Illinois, 2006, June. ASEE Conferences, 2006. [Online]. Available:https://peer.asee.org/1182. [Accessed Feb 22, 2023].[13] S. Post, S. Seetharaman, and S. Abimannan, “A Design Build Test Fly Project InvolvingModeling, Manufacturing, And Testing”, 2010 Annual Conference & Exposition, Louisville,Kentucky, 2010, June. ASEE Conferences, 2010. [Online]. Available:https://peer.asee.org/15791. [Accessed Feb 22, 2023].[14] M. Kaushik. Thin Airfoil Theory. In: Theoretical and Experimental Aerodynamics.Springer, Singapore. 2019. [Online]. Available: https://doi.org/10.1007/978-981-13-1678-4_5.[Accessed February 26
2006-94: USING A JAVA CERTIFICATION BOOK AND MOCK EXAM IN ANINTRODUCTORY PROGRAMMING COURSEJohn K. Estell, Ohio Northern University JOHN K. ESTELL is Chair of the Electrical & Computer Engineering and Computer Science Department at Ohio Northern University. He received his doctorate from the University of Illinois at Urbana-Champaign. His areas of research include simplifying the outcomes assessment process, user interface design, and the pedagogical aspects of writing computer games. Dr. Estell is a Senior Member of IEEE, and a member of ACM, ASEE, Tau Beta Pi, Eta Kappa Nu, and Upsilon Pi Epsilon
2006-1004: A SUCCESSFUL PARTNERSHIP BETWEEN INDUSTRY ANDACADEMIA: RED GOLD, INC.Jody Pierce, Purdue University Jody Pierce is an Assistant Professor of Organizational Leadership and Supervision at Purdue University's College of Technology location in Anderson, Indiana. Her business and industry background includes 28 years between General Motors and Delphi Automotive in manufacturing and labor relations. She has a Bachelor of Science degree in Business from Saint Mary-of-the-Woods College and a Master of Business Administration from Anderson University.Russell Aubrey, Purdue University Russell A. Aubrey is a Professor of Electrical and Computer Engineering Technology at Purdue
resilient. Also, students can learn how ML algorithms often learnand reveal hidden insights from the data that is unknown otherwise. Many complex engineering tasks run ML algorithms in the background which attempt tounderstand and model system behaviour. By understanding both system characteristics and MLalgorithm properties, one can provide an effective solution for a particular task. With this intent, weintroduce various ML algorithms to undergraduate DSP students at an early stage in their curriculumin order to enable them to match algorithms to applications. Algorithms such as k-means clusteringand Artificial Neural Networks (ANN) can be introduced and compared, and subsequently applied tofault detection and topology reconfiguration in PV
Paper ID #36605The benefits of writing machine-graded final exams to becapable of more nuanced feedback in large foundationalmechanics courses.James Lord (Collegiate Assistant Professor) James earned a Ph.D. in Biomechanical Engineering from Newcastle University, England in 2012 for his work on metal- on-metal hip prostheses. He works as a collegiate assistant professor in the Department of Biomedical Engineering and Mechanics at Virginia Tech, where he coordinates and teaches introductory courses in statics and mechanics of materials. Research interests include pedagogy and policy for large introductory mechanics
facilitate success. The project [1] incorporates a multi-facetedstrategic approach designed to enhance recruitment, retention and advancement opportunities forwomen faculty from diverse ethnic, social, and cultural backgrounds in science, technology,engineering, and mathematics (STEM) disciplines which include social and behavioral science(SBS). The program, called the AdvanceUniX project, combines research with programming andpolicy/practice enhancements to drive long-term changes that will transform University X’sculture, promote innovation, and expand the representation of women on our faculty and amongour campus leadership [2].As part of the overarching AdvanceUniX project, the Connect Grants are designed to broadenopportunities for women
design andbuild simple computer interfaces. A prime example of this occurred when we askedundergraduate students to build a temperature and frequency interface for a microwavespectrometer using off-the-shelf components. Students were unable to configure the equipmentproperly because they did not understand such terms as resolution, full-scale error, and step-size.To provide students with hands-on experience with A/D converters, we designed a laboratoryprocedure that allows the students to interface an A/D converter chip to a parallel port on a PC.The rest of this paper describes the microwave spectrometer alluded to earlier, the A/D parallelport laboratory procedure we developed, and the final interface design for the microwavespectrometer
AC 2010-1159: A LABVIEW-BASED INTEGRATED VIRTUAL LEARNINGPLATFORMSeema Khan, Sonoma State UniversityFarid Farahmand, Sonoma State UniversitySaeid Moslehpour, University of Hartford Page 15.45.1© American Society for Engineering Education, 2010 A LabVIEW-based Integrated Virtual Learning Platform1. IntroductionWith the current economic downturns where educators are constantly confronted with furtherbudget cuts, fewer resources, and larger class sizes, online (or web-based) learning is receivingmore attention than ever before. One key advantage of online learning is that it can providedirect delivery of education at anytime from anywhere to anyone, and thus
Development of Web-service Exam to Improve Integrity of Remote Assessment Douglas E. Dow School of Engineering, Wentworth Institute of Technology Boston, Massachusetts, USA dowd@wit.edu Abstract—COVID-19 and remote learning challenged the I. INTRODUCTIONintegrity of exams. At-home, unproctored, and web-based examsresulted in increased reports of students engaging in exam-taking Authentic learning is central to the value of education and atactics outside