students interested in teaching college-levelcourses. This paper will focus on the latter case where graduate students are mentored bydepartmental faculty to learn teaching skills and to implement change within the department.The mentoring program at our university is informal and involves pairing a graduate student witha faculty member who is teaching the same course. The faculty and graduate student workclosely together to develop learning materials, design exercises, and exams. Typically, thegraduate student offers new ideas and learning exercises for the classroom that add new energyto the course. The faculty member provides guidance regarding the design of exam materials andwhat works well in the classroom.IntroductionMichigan Tech
projects within the reach of mostundergraduate students, however many students have surprisingly little experience in this area.Outside of traditional media-making degree programs, few college students are required to createan edited video during their undergraduate experience.This paper explores the implementation of a student-made video project in a computertechnology course. The action research described is grounded in a media literacy framework thatuses a mixed methods approach. The video project explored has similar goals as a traditionalundergraduate written research paper, only having a video replacing the paper as the finishedproduct. Students must do research on a topic related to Internet and computer networkingtechnologies and present
broadsurvey of the literature concluding that female students are more motivated by opportunities forsocial context and collaboration than males” (p. 15).19, 20Research on the Status and Experiences of Men in STEM FieldsSignificantly less research has focused on the status and experiences of men in STEM fields.However, proposed changes to STEM education and work designed to improve the status andexperiences of women may have similar positive benefits for men – for example, in the area ofwork/life balance.21 In 2010, the unemployment rates for men and women in underrepresentedminority groups in the science and engineering workforce were basically equivalent (6.6% formen and 6.7% for women).8 The reasons for and rates of unemployment did vary by sex
listed below: Outcome a: "an ability to apply knowledge of mathematics, science, and engineering" Outcome b: "an ability to design and conduct experiments, as well as to analyze and interpret data" Outcome c: "an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability" Outcome d: "an ability to function on multi-disciplinary teams" Outcome e: "an ability to identify, formulate, and solve engineering problems" Outcome f: "an understanding of professional and ethical responsibility" Outcome g: "an ability to communicate
inclusion of writing in engineering courses?Survey DevelopmentThe survey for this study was developed in part based on literature describing typical engineeringwriting activities and assignments, as well as the authors’ own experiences and challengesrelated to including writing in a variety of engineering classes. The survey design also drew uponfeedback from conversations at previous conferences regarding the barriers and challengesfaculty face regarding the incorporation of writing into their engineering courses. An initial draftof the survey was piloted with six subject matter experts in various roles (e.g., faculty and staffwho teach and/or study writing in engineering) at Purdue University. The feedback from the pilotresponses was
ornaments at a low cost. The teamsbrainstormed their production strategies, and the team spokesperson then communicatedthe plans to the larger group which incorporated public speaking. After listening to allthree presentations, Mr. Leonard then conveyed Dillon Works’ strategy for making thisproduct for an actual client. The PSCME staff concluded the field trip by linking themorning activities in the Material Science Laboratory with the process that Dillon Worksemployees undertake when experimenting with ways to manufacture innovative products.5. Pr ogr am AssessmentAll aspects of the workshop were evaluated by the students. At the end of each field trip,students were asked to complete an evaluation form. The questions inquired aboutdemographic
more desirable. The way the research problem is presented tothe students could make a difference. For an example, consider a research project that involvesstereo vision. One could make students take this project as a laboratory experiment; study themethods of constructing three-dimensional data from two images of an object from two differentpoints of views. The same project would be more attractive to the students as a reverseengineering problem; construction of three-dimensional images of existing engineeringstructures for detecting deformations. We do not wish to undermine the importance of basicscientific and mathematical research. For the future mathematicians and the scientists we shouldprovide necessary nourishment. We will discuss a
. The dhliculty in using computer analysis programs is that students arerequired to use an unfamiliar language. Because of the time involved in learning this new sofiware language,the computer analysis of electronics circuits is sometimes delayed to a later course. CapFastl is a flexible and usefil circuit design software tool for electronic design engineers. TheCapFast soflware has many finctions and features that make students productive sooner. They can draw thecircuit schematic with standard component symbols using drop and drag techniques. This makes it easy forthem to draw and modi~ the circuit schematic. Including CapFast software as an integral part of a courseallows more time to teach the theory because computer simulations can
is licensed is per student. Thus, every student must have an account to access thecourse. TesetOuts provides special price for schools and special free access accounts forinstructors.RouterSim’s Network Visualizer 8.0The Network Visualizer 8.0 is a simulator where users can design, build, and configure their ownnetwork topologies with drag and drop design. It comes loaded with several pre-designednetwork layouts to choose. However, users can also create their own networks and labs. Usersare empowered to build, test and preview any type of network and environment they want. Thisfeature allows learners to experience how to connect different types of hardware interfaces suchas Fast Ethernet and Serial Interfaces. Figure 2 shows an example of a
eachcourse. In addition, the team will develop an evaluation process designed to ensure thestudent has mastered the course content. The outcome of the activities will produce amodel for each mathematics course. In conjunction with the classroom and supportactivities, the project will establish a computer laboratory with instructional andevaluation tools used within the mathematics community. The judicious integration ofexperienced teaching and available technology will develop the infrastructure needed toenhance teaching and student performance in mathematics at Prairie View A&MUniversity. A preliminary study revealed that introductory courses in mathematics(algebra and trigonometry) experience a failure rate of almost fifty percent each
Paper ID #11847Using Humor to Create a Positive Learning EnvironmentProf. Ralph Ocon, Purdue University Calumet (College of Technology) Page 26.1667.1 c American Society for Engineering Education, 2015 Using Humor to Create a Positive Learning EnvironmentAbstractHow to enhance student learning is a critical issue in academia. Throughout the author’sacademic career, teaching effectiveness has always been an on-going challenge.Consequently, he has experimented with different teaching techniques and approaches.The author’s
Paper ID #6117Mentoring Engineering Students: Realities, Challenges, and RewardsDr. Waddah Akili, Iowa State University Waddah Akili is an academician and a civil engineering consultant in Ames, Iowa. Has published in various fields including: geotechnical engineering, foundations, and pavement materials & design. He has been involved with contemporary engineering education issues, addressing a wide range of topics of interest and relevance to engineering institutions and practicing engineers, in the U.S. and abroad
AC 2007-1955: IPV6 COURSE DEVELOPMENT FOR INFORMATIONTECHNOLOGY CURRICULUMSJohn Pickard, East Carolina University John Pickard has more than 15 years in the Technical training profession and 9 years experience in the information technology field. John has held various positions and has experience involving management, designing, testing and teaching of data networks, enterprise networking systems, digital switching systems and transmission systems. Currently, John is a faculty member at East Carolina University and holds an instructor position in the Department of Technology Systems. John is also a senior trainer at Network Training and Consulting and teaches courses in networking
instructor feedback ofthose reflections in one of the engineering units that use LAs.The LA ProgramThe LA Program utilizes the three core elements suggested by the Learning Assistant Alliance(https://www.learningassistantalliance.org/). First, in the LA Pedagogy Seminar, LAs receivepedagogical development in in a formal class with their peers, generally in their first term as anLA. Second, LAs meet weekly with the instructor and the graduate teaching assistants as amember of the instructional team to prepare for active learning in class that week. While LAselsewhere are often used in large lecture sections, in the context of the unit studied, the LAsfacilitated learning in smaller studio or laboratory sessions (Koretsky, 2015; Koretsky et al
as well as interested EET faculty fromother colleges and universities. The faculty workshops are scheduled to be conducted for threeconsecutive years at Michigan Tech and in Year 2 and 3 at Bay College. These workshops areoffered to faculty members of two- and four year institutions and are designed to increasepractical experience in Industrial Robotics as well as renew the interest and empower thoseseeking to revamp existing courses or develop new courses in Industrial Robotics.These 2-day, 16 contact hour workshops are designed to be an intense, immersive experiencethat provide a broad spectrum of activities to participants. The workshop starts by conducting asurvey and pre-test. The survey, an anonymous questionnaire, is designed to
identify the various challenges in their analysis and design.Having introduced NCSs, we then present our main contribution: a conceptual framework basedon a system architecture known as Model-Based Networked Control Systems (MB-NCS).[4] Thestudy of MB-NCS has developed in an attempt to analyze and design control systems in thepresence of real-world constraints such as network usage, information delays, and limitedbandwidth. Through thorough analysis, we explain how these constraints map accurately to thereality of various educational processes, such as the way students learn and their interaction withfaculty. In particular, the case of MB-NCS with Intermittent Feedback becomes especiallyrelevant.[5] We provide an in-depth explanation of this
student in chemical engineering. As an undergraduate student, healong with several fellow students struggled with a lack of understanding in a requiredcourse in numerical and computational methods (NCM). Despite the fact that heobtained a good grade in this course, he did not retain or fully grasp much of theinformation taught in this course. He eventually learned computational methods whileworking at research laboratories and by doing some personal research on mathematicalmodeling. Thus, he is motivated to explore the literature on the topic of numerical andcomputational methods in engineering and computing education, which cansubsequently help to broaden the understanding of these methods and ensure that futurestudents have a better experience
field.Dr. LeAnn E Faidley, Wartburg College LeAnn Faidley is an Assistant Professor of Engineering Science at Wartburg College in Waverly, IA. She teaches the freshman engineering sequence, the mechanics sequence, the design sequence, and materials. She is interested in a number of pedagogical research questions including how students can be helped to better formulate questions, the development of scenario based laboratories, and the use of service based learning in the engineering classroom. Page 23.984.1 c American Society for Engineering Education, 2013 Problem Framing
- Once the team has revised the paper to “final” form, get at least onefresh set of eyes to read it. This will usually flush out any minor problems that the authors mightmiss. From personal experience, it is embarrassing to discover a typographical error in one ofyour published papers. Next, submit the paper ON TIME! The deadline could be set by a "callfor papers," or on a schedule originally agreed upon by the co-authors. If a target date is not set,the paper may not be written due to higher priorities. Papers received late are subject to reviewunder a limited time schedule. Again, because they are late, they may be more closelyscrutinized, or even rejected
) program at Savannah StateUniversity (SSU) and sponsored by the National Science Foundation (NSF). The goal ofMPACT is to support multi-disciplinary design and application experiences for Civil andElectrical Engineering Technology students. The collaborative team is to develop asimulation model to study the effects of movable loads on the abutments; and, shear andmoment at specified points on simply-supported and a single over-hanging bridge beamsusing the LabView software. The results of the simulation model are then compared withthe results obtained from the physical model. The physical model, called SupportReactions was developed by PASCO Engineering in cooperation with Professor MattOhland at Clemson University. The model consists of a steel
skills; foster a passion for teaching; and build a learningcommunity of civil engineering educators.The workshop activities can be sub-classified into seminars, demonstration classes, laboratoryexercises, and social events.Seminars: The course schedule for the 2004 ETW contained 13 Seminars which varied incontent and were designed to provide theoretical background, teaching hints, organizationalstructure, and communication techniques. A brief description of the seminars is offered in Table1. The format for the seminars is lecture, small group activities, and collaborative discussionwith an ExCEEd/ExcEEd faculty member acting as presenter and moderator.Demonstration Classes: ExCEEd/ExcEEd faculty members teach sample engineering classeswhere the
involvement in his or her academicwork, resulting in better retention of new knowledge and acquisition of desirable personal traits.Any such method that engages students in the learning process is labeled as: “active learning”method. In essence, active learning requires doing meaningful learning activities in groups underthe guidance of an informed and experienced teacher. As stated by Christensen et al (1991), “Toteach is to engage students in learning.” The main point is that engaging students in learning isprincipally the responsibility of the teacher, who becomes less an imparter of knowledge andmore a designer and a facilitator of learning experiences and opportunities. In other words, thereal challenge in college teaching today is not covering
technology. Dr. Bright is now a full time faculty for the Wireless Communications Master’s degree program. Michelle’s experience in Matlab/Simulink programming for real-time systems has allowed her to develop new laboratory based curriculum for the wireless program. She brings extensive knowledge of signal processing, device architecture, hardware design, and autonomous controls to her research. She is co-author of a NASA grant for encryption using nonlinear signal processing techniques. She is a recipient of numerous Air Force and DARPA funded research grants for flow control. Prior to joining the National University faculty, Dr. Bright has authored over 30 publications and journal articles
taken together they areintertwined, interactive, synergistic, and strike to the core of not only engineeringeducation around the world, but also of higher education in the new millennium.The economy“An investment bank has made a deal . . . that will have it pay for one-third of the cost of anew chemistry building in return for a share of the profits from any spin-off companies inthe next 15 years. … The bank . . . is confident that it is getting a good deal, on the basisof its own expertise and experience in advising high technology and biotechnologycompanies” (Digest 18 December 2000).Presumably, the university’s confidence was equal to that of the bank.This Digest article captures the changing scene of higher education, where, in the face
graduation, she spent five years as a Principal Scientist at Knolls Atomic Power Laboratory in Schenectady, NY researching welding and the thermal stability of structural alloys. In 2013, she joined the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University and was recently promoted to Full Professor. Dr. Tucker served as the Materials Science Interdisciplinary Graduate Program Director for five years and recently became the Director for the Design for Social Impact Program. Her research focuses on degradation of materials in extreme environments using both modeling and experimental approaches to gain fundamental understanding of materials performance.Dr. Milo Koretsky, Tufts University
). With the invention of the laser in 1960, coherentsources of electromagnetic radiation reached the visibleregion of the spectrum and attempts were made to use thelaser for communication purposes. The first experiments in-volved light transmission through the atmosphere. However,unlike radio systems at longer wavelengths, this system was 208severely limited by scattering of the light beam by fog,rain and snow. Only special applications in arid regionsof the world and in the vacuum of outer space seem promising.As Dr. Marcuse (1973) stated: "For reliable light communi-cation under terrestrial conditions, some type of light wave-guide is desirable to protect the light beam from atmosphericdisturbances" (p. 655
. I OPTIMIZATION PROBLEM IN Results using non-linear least squares (a raison d ‘6tre for -- ‘ CHEMICAL KINETICS the use of technology) produce a plot of the fit, with pa- rameter estimates on reaction rate constants in this case.We offer here an example of a complex problem in param- See Figure 2.eter e=imation for kinetics modeling which leads to opti- 1 ●mization. 0.8 A laboratory experiment is going on in the Projects
Paper ID #18800Utilizing the Chesapeake Bay as a Basis for a Place-based Multi-componentProject to Attain Earth Systems Engineering Course ObjectivesDr. Bradley A. Striebig, James Madison University Dr. Striebig is a founding faculty member and first full professor in the Department of Engineering at James Madison University. Dr. Striebig came to the JMU School of from Gonzaga University where he developed the WATER program in cooperation with other faculty members. Dr. Striebig is also the former Head of the Environmental Technology Group at Penn State’s Applied Research Laboratory. In addition to Dr’ Striebig’s
that are important for other institutions to consider when attempting toreplicate such a partnership.Overview of the ProgramBay College and Michigan Tech successfully collaborated on a grant proposal to the NSF fortheir Advanced Technological Education (ATE) grant, which was awarded for a total projectcost of $702,324. Much of these expenses were dedicated towards personnel costs to developrobotic simulation software, create curriculum, and design the articulation agreement betweenthe two institutions. Money was also reserved for stipends to be paid to workshop participants,travel to conferences and meetings, and instructor professional development. In order to trulyalign the curriculum, however, Bay College needed to purchase several robotic
) Page 22.1675.15 2005 2006 2007 2008 2009 Tag c Tag c Tag c Tag c Tag c assessment 114 simulation 77.5 concept 71.5 how people learn 53.5 survey 58 engagement 50 retention 74 knowledge 66 concept 51 discipline 53.5 laboratory 50 ethics 62 teamwork 55 active learning 44 teamwork 48.5 skill 48 survey 59 ethnography 53.7 design 39 women 47 experiment 47.5 model 48.5