propulsion systems. At Baylor University, he teaches courses in laboratory techniques, fluid mechanics, energy systems, and propulsion systems, as well as freshman engineering. Research interests include renewable energy to include small wind turbine aerodynamics, experimental convective heat transfer as applied to HVAC and gas turbine systems, and engineering education.Dr. William M. Jordan, Baylor University William Jordan is Professor of Mechanical Engineering at Baylor University. He has B.S. and M.S. degrees in metallurgical engineering from the Colorado School of Mines, an M.A. degree in theology from Denver Seminary, and a Ph.D. in mechanics and materials from Texas A & M University. He teaches materials
to investigate engineeringstudent learning and beliefs about computer programming in an introductory course. The studysought to compare whether students can learn programming concepts effectively using a Page 14.345.3graphical programming language instead of a text-based language.Current Text-Based Programming Learning EnvironmentIn H192, the C/C++ language has been taught using a textbook and the GNU C++ compiler(g++) under Linux. The students typically have used the GNU Emacs editor for composingprograms and learned Linux commands for compiling, linking and running their programs. Thecontent includes conditional statements, loops, arrays
SESSION 2251 Environmental Sampling and Analysis: A Laboratory Course for 21st Century Environmental Engineers Lynn E. Katz, Howard M. Liljestrand, Kerry A. Kinney Dept. of Civil Engineering University of Texas Austin, TX 78712AbstractEnvironmental engineering is evolving from a field primarily concerned withmunicipal water supply, wastewater treatment processes, and end-of-pipe treatment ofindustrial wastewater discharges to one in which pollution reduction must be evaluated atthe process level. Our
concentration students. Therefore, in the lab students make concretebatches and subsequently test the strength, studying the effect of different mix compositions.Lastly, the labs are integrative whenever possible. For instance, one week the studentssynthesize polymers in a chemistry lab. The next week in the engineering lab, they test themechanical properties of polymers. One week they study crystal structure in the chemistry lab,another week they test mechanical properties of metals.6 Team TeachingHaving a regular course jointly taught by faculty from two departments was a novel model forCalvin College that presents advantages and challenges. We chose to arrange a firm lectureschedule, assigning each day to an instructor. Then, even if one person
recommend this course to others. 22. Overall I was very satisfied with this course. 23. Before starting my online course(s) I received sufficient information about registration requirements and prerequisites. 24. Before starting my online course(s) I received sufficient information about student support services. 25. WebCT is the name of the software program used to administer this course. Did you have any problems using WebCT that you would like to share? If yes, what were they? 26. If you felt this course faired poorly on any of the above dimensions (or any that were not included above), what could we change to improve the course? 27. Do you have any additional comments you would like to share with us
continue to occasionally e-mail the instructor links to interesting bioengineering articles that they have read in the popularpress or on the web.For a formal assessment of a course and its instructor, the university uses a 20-question survey.Both the course and the instructor were rated above the school and university norms. Via aseparate instrument, the instructor requested unsigned essay answers to the following questions:“Did the course meet your expectations?” “What did you like about the course?” What did youdislike about the course?” And “What are your suggestions for improvement?” An administra-tive secretary compiled the handwritten replies into a database, with answers collated by question.The instructor received the blinded complied set
, germane cognitive load is the produc-tive cognitive load associated with processing information and automating tasks. Germane cogni-tive load is modified by student characteristics (e.g., intrinsic motivation) and positive learningactivities.For improved student learning, cognitive load theorists encourage instructional designers to fo-cus on the reduction of extraneous cognitive load. This is particularly important in cases wherethe material or learning task has high intrinsic cognitive load. Students’ ability to acquire newskills and knowledge, particularly within the confines of a 3-hour, single-semester course, isquite limited. The goal of instructors is to present exactly what the students need to know -- nomore, no less -- to maximize their
AC 2008-1675: STATISTICAL PROCESS CONTROL LABORATORY EXERCISESFOR ALL ENGINEERING DISCIPLINESJeremy VanAntwerp, Calvin CollegeRichard Braatz, University of Illinois at Urbana-Champaign Page 13.1096.1© American Society for Engineering Education, 2008 Statistical Process Control Laboratory Exercises for all Engineering DisciplinesAbstr actDespite its importance in industry, statistical process control (SPC) is rarely taught inundergraduate controls courses. However, one or two lectures, coupled with the hands-on assignment in this paper, are sufficient to give a good introduction to the topic. Thispaper presents a case for why all engineers
Page 8.98.1 “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education”expressed the concern that we are not providing enough exposure to the field of Engineering as awhole, or to specific Engineering disciplines, to allow our freshman to make an informed choice.In addition, freshman are not exposed to the excitement and rewarding experiences of theengineering profession but instead get submersed in basic science courses. For the most part theyare unable to relate material learned in these courses to their career choice, which could have anegative effect on retention rate. Certainly for a relatively new discipline
course at three PuertoRican universities that serves students in multiple programs (including mechanical, electrical,and industrial engineering students) at each university. Thus far, 35 faculty members comingfrom 13 different degree programs (and most with previous capstone design teaching experience)have been trained on the systems engineering-based design process. In the 2010-11 academicyear, three programs and 95 students were impacted. The programs have adopted the designprocess modules that best meet the needs of their students and projects, which vary widely intopic and scope. Additional programs at the three universities are modifying their capstonecourses in the 2011-12 academic year. Assessment data will be used to further improve on
students would be engaging with the course material in a manner that causes them tobe exposed to the qualitative and quantitative on the macro and micro level.Findings from a previous study [10] suggests that when students are instructed using a unifiedmodel which includes intermediate instruction on current, voltage and resistance in a hierarchicalmanner where each concepts builds on the other, the overall understanding is improved. Thedelivery of the course material would be of such that: 1. At the beginning of the course students are given a general overview of AC circuits, all concepts to be taught will be treated in such a manner that students have a complete idea of what each entails before they are given an in-depth
83% 79% 17% 21% 0% 0% 0% 0%Figure 4: Student perceptions of corporate prioritiesThe survey did not, however, reveal significant changes in how students viewed the importanceof the ethical dimensions of engineering for their future career, perhaps because they began thecourse with already high importance place on ethics: 89% viewed ethics as “very” or“somewhat” important at the beginning, whereas 93% did so at the end.Finally, the students ended the course with stronger beliefs that group projects were effective forenhancing their learning (Figure 4). Seventy-eight percent ended the semester believing that theywere very effective or somewhat effective, up from 67% at the beginning of the semester
who“…blindly believes the output of a piece of software. A true analyst understands how the outputwas calculated, assumptions behind the output, and the inferences that can be made from it.” [3]Creative thinking is what improves the quality and effectiveness of decision-making and theentire analysis [9]. Evans defines creativity, a key step in the decision-making and managementsciences, as finding new relationships that were previously unknown. This creativity alsofosters the different phases of data analysis especially when facing open-ended problems that areill-structured. Employers desire analysts who do not strictly think statistically, but also have abusiness sense that will allow the analyst to use creativity to find relationships in
who did not take the course during its first offeringin Fall, 2008. This assessment was conducted at the beginning of the course (August 2008) andat the start of the semester following the end of the course (January 2009). The former served asa baseline measure of understanding and comfort level, and the latter tested for retention, sincehaving met course objectives by any measure does not necessarily mean that the knowledge orskills will be effectively retained for future application. Those students who did not take thecourse were still subjected to requisite laboratory and computational courses that are part of themajor program of study in BME. They therefore constituted an appropriate control group sincethey were exposed to much of the
meta-analysis, but one of the methods he discusses, servicelearning, is viewed by others10, 29 as a component of a curriculum incorporation approach.There appears to be a significant amount of debate related to methods of incorporation, but verylittle rigorous investigation to determine which methods of curriculum incorporation are mostcommon or most effective. Drake et al.35 performed a comparison of two methods of integratingethics in the engineering curriculum, a stand-alone course and several modules within generalengineering courses (quasi-across-the-curriculum). This rare comparison of two curriculumincorporation methods was unsuccessful in generating conclusive statistics in support of eithermethod. Discussion and debate over curriculum
the Committee on Engineering Technology Accreditation, serving on the Board of Directors of the ASME Center for Education, and as a member of the Mechani- cal Engineering Technology Department Head Committee. He has been a program evaluator for both the Society of Manufacturing Engineers (SME) and ASME and currently serves on the Technology Accredita- tion Council (TAC) of ABET, representing ASME. He also serves on the SME’s Manufacturing Education and Research Community steering committee. Before joining ASU, he had been at North Dakota State University where he was a faculty member in the Industrial and Manufacturing Engineering department. His research interests include machining, effective teaching and
, while only the MOE is used in the course. Figure 1: Stakeholder expectations converted to Measures of Effectiveness (MOE).After considering the mission, environment, and constraints (cost, size/weight/power, IEEEStandards, available expertise, etc.), a concept of operations is developed, which is captured in atop-level FFBD. The top-level FFBD for the piper is shown in Figure 2. The labels on thefunction blocks are actions, not nouns—this is an important distinction that most students miss intheir first attempt at a FFBD. Here, the mission is to play typical Irish whistle tunes withappropriate ornamentation, and a constraint is that the notes be derived using a MIDI (MusicalInstrument Data Interface) –based protocol. The
design Pre and post‐ experience and gives students an authentic test questions knowledge in current undergraduate research experience and 6 and 8; biomaterials research increased familiarity with design of Course methods biomaterials. evaluation; Pre and post‐ Teach students inter‐ Students will understand the effects of test questions relationships composite structure on its mechanical 3,6,8; Course between biomaterial properties. They will gain
survey was administered. Acomparison of the pre and post-course surveys yields a shift in perceptions.Six methods of creative problem solving were explored by the students. The methods, whichvary in number of steps from four to eight, were compared and broken into five general steps. Atthe conclusion of the course, the students analyzed the effectiveness of the course.1. IntroductionHistorically, entrepreneurship at Lawrence Technological University (LTU) arose from twoseparate programs – one in the College of Engineering and the other in the College of Arts andSciences. In the College of Engineering, it was recognized that graduates play many roles inindustry, all of which require business and entrepreneurial skills. In response to this
of data science: the ability to effectively communicate data analytics findings using visual, written, and oral forms. Students will gain hands-on experience using data visualization software (Tableau, PowerBI, Excel) and preparing multiple formats of written reports (technical, social media, policy) that build a data literacy and communication toolkit for interdisciplinary work. In essence, this is a course emphasizing finding and telling stories from data, including the fundamental principles of data analysis and visual presentation conjoined with traditional written formats. MGMT 2053 – Business Foundations This is a special data science students only section and a survey course providing a broad
, teaching and assessing upper-level Biomedical Engineering laboratory courses, with particular interest in improving student technical communication skills. c American Society for Engineering Education, 2018 Work in Progress: Improving Biomedical Engineering Students’ Technical Writing through Rubrics and Lab Report Re- SubmissionsIntroductionGraduates from ABET accredited engineering programs are expected to demonstrate an ability tocommunicate effectively [1-2]. Technical writing skills are particularly difficult to teach andeven more time consuming to assess [3], often limiting the number of opportunities students aregiven to practice and improve throughout their
Engineering at the University of Pittsburgh. Dr. Mehalik has taught a variety of courses related to sustainable product innovation and design, including taking students to China and Brazil for hands on experience. He has written multiple journal articles in the areas of engineering sustainability and engineering education. Dr. Mehalik obtained a Ph.D. in Systems Engineering, with concentrations in innovation, ethics, and policy, from the University of Virginia (2001).Kim Needy, University of Pittsburgh Kim LaScola Needy is an Associate Professor of Industrial Engineering at the University of Pittsburgh. She received her B.S. and M.S. degrees in Industrial Engineering from the University of Pittsburgh
AC 2008-1760: SERIOUS GAMES AS SOFTWARE ENGINEERING CAPSTONEPROJECTSBruce Maxim, University of Michigan - Dearborn Bruce R. Maxim is an Associate Professor of Computer and Information Science at the University of Michigan-Dearborn where has taught courses on software engineering, game design, and artificial intelligence for 23 years. His current research interests include software usability and accessibility issues, game development, and software quality assurance. Page 13.1071.1© American Society for Engineering Education, 2008 Serious Games as Software Engineering Capstone ProjectsAbstractThis
-yearengineering program. Within this program, entering students learn basic engineering andtechnical skills that are applicable to their engineering and professional careers. Through thecompletion of the first-year engineering courses, students gain, develop, and improve their skillsin:• Teamwork• Written and oral technical communication (memos, reports, technical posters, technical Page 14.852.2 presentations, etc.)• Problem solving• Engineering design• Engineering modeling (numerical, graphical, 3-D)• Engineering analysis (data collection, analysis, description)• Computer software• Interpersonal communication with respect to teammates
entrepreneurialmindset in engineering education: Project approach. Proceedings - Frontiers in EducationConference. 121-126. 10.1109/FIE.2013.6684799.[6] A. Huang-Saad, "Fostering the entrepreneurial mindset in the engineering classroom," 200939th IEEE Frontiers in Education Conference, San Antonio, TX, 2009, pp. 1-6.doi: 10.1109/FIE.2009.5350763.[7] Erdil, N. O., & Harichandran, R. S., & Nocito-Gobel, J., & Carnasciali, M., & Li, C. Q.(2016, June), Integrating e-Learning Modules into Engineering Courses to Develop anEntrepreneurial Mindset in Students. Paper presented at 2016 ASEE Annual Conference &Exposition, New Orleans, Louisiana. 10.18260/p.25800.[8] Mikesell, D. R., & Chen, T., & Ma, J., & Ali, A. (2015, June), Improving
Michigan Technological University is a unique mentoringprogram that matches a graduate student, an undergraduate student and first year student to forma mentor/mentee team. By assigning teams in a three tiered hierarchy, each team member has aspecific role in relation to the other two members.The graduate student of the group is enrolled in a unique Master’s of Science program atMichigan Tech called Master’s International (M.I.). In this program graduate students will earntheir M.S. in Civil or Environmental Engineering through volunteer service in the U.S. PeaceCorps. Students in the M.I. program take courses for two semesters at Michigan Tech then servefor approximately two years as a water sanitation engineer in a developing country as a
also valid – solve the problem.Reliability comes as the effect of an iterative process, something allowed by the timescale of the project – Project 1 was active over the course of the Ph.D. students’ tenure atWashington State University. Validity comes from a profound relationship with thecustomer – in this case, the students’ Ph.D. advisor and second author of this paper. Thistrade-off is discussed in-depth elsewhere [13]. Not surprisingly, with the staffingconsidered, algorithmically trained Ph.Ds, in a free-association, positive attitudecollaborative environment came up with a novel solution that fulfilled most of the projectgoals. The only real impediment to total project success became the regulatoryenvironment.Team structure was mostly
Bezdek et al., "Reverse engineering and redesign: courses to incrementally and systematically teach design," Journal of Engineering Education 90, 363-374 (2001).21 Gul E. Okudan and Bonnie Osif, "Effect of guided research experience on product design performance," Journal of Engineering Education 94, 423-428 (2005).22 Terry O'Connor, Holly Sibray, and Kyle Forinash, "Interdisciplinary research project involving physics and electrical engineering students," Journal of Engineering Education 90, 423-428 (2001).23 Joanna Aizenberg, Vikram C Sundar, Andrew D Yablon et al., "Biological glass fibers: correlation between optical and structural properties," Proceedings of the National Academy of Sciences 101, 3358-3363
criteria may appearsuperficially minor, the required effort to make the change reflects on it’s importance. In Dr.Splitt’s words ‘Engineering programs must then demonstrate that their students attain an abilityto design a system, component, or process to meet desired needs within realistic constraints suchas economic, environmental, social, political, ethical, health and safety, manufacturability, andsustainability, as well as demonstrate the broad education necessary to understand the impact ofengineering solutions in a global, economic, environmental, and societal context.’6‘Green’ engineering is the terminology currently in use to describe the process of designing andproducing goods, services, or processes, taking into consideration the effect
mathematics to engineering students. As a faculty member at Grand Valley State University, he is working to develop and improve the freshman engineering curriculum. c American Society for Engineering Education, 2020 Effects of a Limited Implementation of the Wright State Model for Engineering Mathematics Education focused on Pre-Calculus StudentsAbstractThis is a complete evidence-based paper, which presents the implementation of a new course tomitigate the effects of student math preparation on student performance. At Grand Valley StateUniversity, a first-year engineering course has been developed based on the Wright State Modelfor Engineering Mathematics Education. At GVSU, the student population has been