across several majors within the college of engineering during Page 24.803.13the Fall 2010 semester at Michigan Technological University. These classes included but werenot limited to Calculus II, Engineering Economics, Mechanical Engineering Laboratory, Circuits& Instrumentation, Introduction to Spatial Visualization, Chemical Engineering Fundamentals,Environmental Engineering Fundamentals and Introduction to Materials Science & Engineering.The number of survey respondents was 1101. In terms of gender, 74.1% of the participants weremale, and 25.9% of the participants were female. White respondents made up nearly half of theparticipants
containment device). Sessions were conducted atthe participant’s workplace or in our laboratory. The “one model” task was given after theplayground task and before the flood task. In addition to being asked to think aloud as they readthe “one model” description, participants were prompted to comment on it in relation to howthey had just solved the playground problem. We also present results from three other tasks administered during the last part of thedesign session. These were given in the form of a written questionnaire (see Appendix B). Thefirst task, labeled “Your Illustration of Design,” asked participants to: “Use this paper to create apicture or representation of what you think the process of design is.” The second task (adaptedfrom
[23]. Many racing simulators, including TORCS, display sensors andparameters while the agent is on the track to capture its velocity, speed, Rotations Per Minute(RPM), lap time, etc... (More details are provided later in theme IV). This helps users to bettervisualize what’s going on and see things that need to be adjusted. Observing these parameters helpsthe user to better understand the cause-and-effect relationships of certain components andalterations, helping to identify mistakes and see where to improve [15], [24-25]. The simulatoressentially becomes a virtual laboratory for engineers to experiment on, learning from mistakes,and moving forward without any risk of action. This not only gives engineers a betterunderstanding of AI/ML, but
for her immunosuppressed patients by reducing exposure to infectious and non-infectious air pollution in public schools and community spaces throughout the State of Connecticut. She founded and is the director of the UConn Indoor Air Quality Initiative, a cross-campus, multidisciplinary team of scientists and clinicians studying low-cost air purifiers in both laboratory and real-world settings.Dr. Kristina M. Wagstrom, University of Connecticut Dr. Kristina Wagstrom is an associate professor in Chemical and Biomolecular Engineering at the University of Connecticut in Storrs, CT. She specializes in applying chemical engineering principles to better understand the human and ecosystem health impacts of air pollution
AC 2011-1570: PROJECT-BASED LEARNING AND DESIGN EXPERIENCESIN INTRODUCTION TO ENGINEERING COURSES ASSESSING AN IN-CREMENTAL INTRODUCTION OF ENGINEERING SKILLSAndrew L. Gerhart, Lawrence Technological University Andrew Gerhart, Ph.D. is an Associate Professor of Mechanical Engineering at Lawrence Technological University. He is actively involved in ASEE, the American Society of Mechanical Engineers, and the Engineering Society of Detroit. He serves as Faculty Advisor for the American Institute of Aeronautics and Astronautics Student Chapter at LTU, chair for the LTU Leadership Curriculum Committee, director of the LTU Thermal Science Laboratory, coordinator of the Certificate in Energy & Environmental Man
and Practice presented students with a series of projects over a year longinformal experience. In our case, learners were presented with engineering design problemswhere solutions are achieved via an actual project. Participants had access to a wide range ofresources that included human and content rich media, Arizona State University art museum andengineering laboratories, the Phoenix Zoo, the Arizona Science Center, a number of differenttypes of hardware and software technologies. The project therefore is the culmination of thelearning process, and the solution is the finished product21,22,23,24. Using a project-challenge thatis analogous to complicated tasks encountered in today’s STEM workplaces, student teams wereconfronted with a
various and sometimes unexpected ways: New computer hardware allows not only higher speed computers but also smaller, lightweight devices such as PDA’s and cell phones. New applications bring not only new or better services (voice/video over IP, etc.) but also new challenges as well as malicious applications such as viruses and email spam, which have become commonplace.James Krogmeier, Purdue University James V. Krogmeier received the BSEE degree from the University of Colorado at Boulder in 1981 and the MS and Ph.D. degrees from the University of Illinois at Urbana-Champaign in 1983 and 1990, respectively. From 1982 to 1984 he was a Member of Technical Staff at AT&T Bell Laboratories in
a number or years.” “The modal point on the distribution curve displaying length of employment against probability of making a useful contribution occurs at between seven and nine years of employment. Clearly if the professional turnover rate exceeds 10% to 15% per year, it will be most unlikely that the peak performance of the laboratory will ever be achieved.” Page 10.640.8 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education”3. A Work in Progress: Defining the
a control system as a nonlinear optimization problemin the time domain instead of placing poles and zeros or shaping the frequency response.Applications that students use in this category include office productivity suites, progra mminglanguages, simulation packages, numerical manipulation systems, symbolic manipulationsystems, computer-aided design packages, and laboratory systems. Within each categorybenefits to student learning and hindrances to adoption are similar. Therefo re, decomposingapplications of technology into these three categories facilitates productive conversations aboutimproving engineering education through the use of technology.Partner schools in the Foundation Coalition, including A&M, have concentrated on
different models of interpretation. Finally, homework is an assimilativeexperience where the student reflects on learning and practices integrative thinking.Table 1 - Kolb Learning StylesConverging The dominant learning abilities are Abstract Conceptualization (AC) and Active(AC+AE)/2 Experimentation (AE). People with this learning style are best at finding practical uses for ideas and theories. They have the ability to solve problems and make decisions based on finding solutions to questions or problems. In formal learning situations, people with this style prefer to experiment with new ideas, simulations, laboratory assignments, and practical applications.Assimilating The dominant
alternatives to prevalent educationalpractices. For example, a variety of educational approaches were presented in the plenarysession of the 2011 ASEE annual conference. Examples of some of the approaches presentedincluded active learning, formative assessment as a strategy to support learning, and problem-based learning. Each description of an approach included a summary of research-based evidenceon specific educational impacts. The National Science Foundation, which funds projects forimproving STEM education through its Course, Curriculum and Laboratory Improvement(CCLI) and Transforming Undergraduate Education in STEM (TUES) programs, has sponsoredforums in which panels of practitioners and scholars were commissioned to investigate the issueof
areas appropriate to civil engineering; conduct civil engineering experiments and analyze and interpret the resulting data; design a system, component, or process in more than one civil engineering context; explain basic concepts in management, business, public policy, and leadership; and explain the importance of professional licensure.For the four-year civil engineering technology graduate, the program criteria include3 – o utilize principles, hardware, and software that are appropriate to produce drawings, reports, quantity estimates, and other documents related to civil engineering; o conduct standardized field and laboratory tests related to civil engineering; o utilize surveying methods appropriate for land measurement
touch, which can cause discomfort andincreased anxiety and distrac�ons in educa�onal se�ngs like classrooms, laboratories, and par�cularlyfast-paced environments that o�en change or require adap�ons (Bolourian et al., 2018; Dwyer et al.,2023; Kouo et al., 2021; Pesonen et al., 2020; Robert, 2023; Taylor et al., 2019; Ward & Webster, 2018).However, au�s�c traits also include deep focus and interests, aten�on to details, perceiving complexsequences and paterns, diligence, and steady work habits (Grandin, 2022). Au�s�c people o�en haverigid thinking and fixa�ons on one solu�on, idea, or process and are notorious rule followers (Kouo et al.,2022). This means that they may not be very good at cri�cal thinking and may lack pa�ence with
, space and laboratory design, andassessment and accreditation efforts. Specifically, because the Department of Engineering and its student body are in the founding phase,applicants should be prepared for and excited about the extra opportunities and challenges that this start-up process necessarily entails.Applicants should have a Ph.D. in an engineering or complementary discipline.What To Submit - Interested applicants should apply via the University’s career website at: http://www.wfu.careers/. The application shouldbe submitted as ONE PDF file and include the following: (1) a cover letter that addresses the applicant’s motivation to be a founding facultymember, personal values in alignment with the department values, and vision for building a
educators from Washington University, the Saint Louis Science Center, the Missouri Botanical Garden, and the Saint Louis Zoo in providing curriculum, professional development, kit materials, an interactive website, and a visiting science laboratory/classroom to schools throughout the St. Louis area. She serves on the national faculty of the National Science Resources Center’s Leadership Assistance for Science Education Reform (LASER) strategic planning institutes. She was a 2008 and 2009 fellow in the Psychodynamic Research Training Program at Yale University’s Anna Freud Child Study Center. McMahon has a distinctive ability to translate cutting edge concepts from various disciplines in science, engineering, and education in an
. UMD is located in a smallcommunity in the southeastern part of the state. Most of its students are first generationcollege students, many are from the Portuguese minority community in the region, andmost live at home, balancing academic coursework and employment in order to assisttheir families in paying for their studies. The typical UMD freshman has an average SATscore of 1110 and an average high school grade point average of 2.8. The College ofEngineering houses six academic programs, four of which are in engineering, one inphysics, and one in textile sciences. UMD admits about 250 freshmen into engineeringeach year.The FC program at UMD is known as IMPULSE (Integrating Mathematics, Physics,Undergraduate Laboratory Science, and Engineering
ispresented in the following list. Items referenced with [29] are quoted from the THE ThomsonReuters Survey and those with [31] from the ARWU.1. Financial indicators a. Income from research grants and awards (may be intramural or external) [29] Page 15.1008.14 b. Total expenditures [29] c. Income from teaching [29] d. Analysis of income sources (government, private, competitive, industry) [29] e. Analysis of expenditures (staff salaries, teaching, reserch, library, real estate) [29] f. The size of the resource supporting the program i) Size of the endowment ii) Number and state of equipment of the laboratories and facilities