0 1 2 3 4 5 6 Years Figure 3 - Number of years until tenure-track participants can apply for tenure (n=21)TeachingA teaching portfolio has many elements in common with the teaching section of a tenureportfolio, and in many cases, they are the same. At my university, the teaching section doesresemble a teaching portfolio. As such, all new faculty are provided a copy of The TeachingPortfolio by Peter Seldin, J. Elizabeth Miller, and Clement A. Seldin.5 The authors5 provide thefollowing steps for creating a teaching portfolio: 1. Planning, identify
opportunities for students to gain experience with pre-test planning anduncertainty estimation, with unanticipated situations that may arise during tests that mayintroduce measurement error, and with post-test statistical analysis of the derived pumpperformance parameters. As an example, in this experiment flow rate is determined bymeasuring the time it takes for a pump to discharge a measured volume of water at a fixedpumping height. The flow rate is thus derived from measurement of two variables, volume andtime, each prone to sources of experimental error that are easily visualized by the students. Suchtangible examples of experimental uncertainty go a long way in helping students to understandtechniques such as the Kline-McClintock method of
involving engineering dilemmas. Amajor course requirement is a capstone paper incorporating Social Impact Analysis (SIA). Thegeneral purpose of SIA is to identify and analyze the positive and negative social consequencesof engineering plans and projects. In students’ SIA papers, they identify and discuss acontemporary engineering technology (e.g., autonomous tractor trailers, fracking, drones, ethicalhacking). They are required to incorporate knowledge from one or more of the ethical theoriesinto their analyses.The goal of the present study was to use machine-learning to identify the ethical content in thecapstone papers submitted by students in the ethics course. In the two tests described in thispaper, we assessed whether Watson-NLC could
UniversityMatilde Luz Sanchez-Pena, Purdue University, West Lafayette (College of Engineering) Matilde Sanchez-Pena is a first year PhD student in the Engineering Education program at Purdue Uni- versity. Her research interests are diversity in engineering, education policy making and the effective teaching of statistics in engineering.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Dr. Ebony Omotola McGee, Vanderbilt University
, object recognition, computer vision, intelligent robot, and human–robot interaction. He has published 70+ SCI and EI papers and holds 10+ national patents. He is the PC member of several top international conferences, i.e. IJCAI. He is also the invited reviewer of several reputed international journals, i.e. IEEE Transactions on Fuzzy SystemsIEEE Transactions on Human-Machine Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, etc. He is also the associate editor of International Journal of Robotics and Automation Technology. He was granted a ”Talent of Qing Lan Project” award of Jiangsu province and a ”Six Major Top-talent Plan” award of Jiangsu province, China. He is a Standing member, the Specialty
. Minimum expectations of participation in the department include: • Active and regular participation in co-curricular initiatives (startup weekends, pitch competitions, business plan competition, hack-a-thon, etc.), • Contribution to the shared department’s scholarship, and/or, • Development and delivery of department curriculum. The distribution of faculty in the department by college at the time it was formed is shownin Table 2. All full-time faculty in the department have voting rights and they elected a chairwhose primary appointment is in the Department of Mechanical and Industrial Engineering. Inaddition to the chair, who guides curricular matters, a director, jointly appointed by the deans ofengineering and business, manages
. Thereflective comprehensive report challenges students to evaluate themselves against a benchmarkstudent—referred to as a "world-class" engineering student—based on the following objectives:1. Goal setting a. Setting your goal(s) i.e., major, time to graduation, GPA b. Strengthening and clarifying your commitment to your goal(s) c. Setting up a ‘Road Map’ – a plan to guide you over the next years to graduation d. Understanding the essence of engineering2. Community building a. Building relationships, and making effective use of your peers (help-seeking) b. Participating in co-curricular activities3. Academic development a. Navigating the university system, resources, and academic advising b
reflects the student’s attendance and performance inthe quizzes, lab assignments, industry project, and exams. Upon satisfactory completion of IE470course, students should be able to: o Understand the key performance measures of manufacturing systems. o Understand the different techniques and tools for manufacturing systems design and analysis. o Understand key techniques to improve manufacturing systems productivity and efficiency. o Be able to use process improvement methods in real manufacturing or service environments.The course includes the following topics: o Introduction to modern manufacturing o Basics of manufacturing systems o Manufacturing strategies o Demand planning and forecasting o Material
Denise Female 5 Evan Male Erin Female 6 Farrah Female Frank Male 7 Gary Male Genna Female 8 Hal Male Henry MaleContextPictureSTEM incorporates science, mathematics, engineering, technology, literacy, andcomputational thinking into three different lesson plans targeted at Kindergarten, first, andsecond grade students. The curriculum used in this study was the Kindergarten-focused lesson,Designing Paper Baskets. There are six main lessons as seen in Figure 1 in addition to anintroductory lesson that presents the engineering design challenge. The unit is centered aroundthe engineering problem presented by the two clients, Max and Lola. They are avid
accomplish this, outreach to other educational units across campus has proven to beextremely beneficial. The planned DCI curriculum has sought contributions from a group offaculty coming from four different departments (Construction Technology, Interior Design,Landscape Architecture, and Mechanical Engineering Technology), which are located withinthree different colleges (Liberal Arts, Agriculture, and Technology) of the same institution.These faculty members have collaborated to identify existing courses within their departmentsthat could provide the expected learning outcomes related to built environment design for DCIstudents. Through this collaboration, students would be able to choose a design concentrationthey prefer: Interior Design
participant.Due to the limited resources, we only plan to test our workshop with around 30 students. Sinceour goal is to help student with lower visuospatial skill, we chose students with relatively lowerscore in the pre-course PSVT:R test. In the end, we selected 30 of them with an average PSVT:Rscore of 21.3 (SD= 5.31) to join our online workshop. By the end of the semester, total of 17students completed our online workshop. Participants who completed the workshop received $50cash as compensation. Online Visuospatial Skill Workshop. The online workshop was adapted and modifiedfrom an existing visuospatial workshop in our university and contains a series of exercisesspanning seven diverse related topics (Sorby, 2011). Those topics included 1
. c American Society for Engineering Education, 2017A Tiered Mentoring Model for Deepening Student Learning AcrossUndergraduate and Graduate Design CoursesAbstractThe authors are experimenting with implementation of a tiered mentoring model acrossundergraduate and graduate-level concurrently-taught design courses.The undergraduate course is a senior-level design course in which students learn the fundamentalsof designing steel structures. It is structured around an authentic semester-long team-based designproject in which student design teams develop the structural plans for a real building based on anarchitectural concept. A series of intermediate project deliverables are sequenced throughout thesemester to ensure that the undergraduate
need for instructional resources and strategies to teachcommunication skills, engineering faculty at the University of New Haven have beencollaborating to develop technical communication curriculum, including a series of onlinemodules. The present study is a pilot study intended to evaluate the implementation of selectedinstructional resources and strategies integrated into a chemical engineering laboratory course,where students were required to write bi-weekly technical memos based on the results ofexperimental work.One innovative aspect of this pilot project was the team-taught approach to instruction. In thislaboratory course, the engineering instructor collaborated with a writing instructor to plan anddeliver instruction. Although team
-programBridgeValley Community and Technical College, Master Plan, Focusing on the Vision 2015-2020. http://www.bridgevalley.edu/2015-2020-strategic-planS-STEM Grant Research Study (2012), S-STEM Student data collection (2013-present) byBridgeValley Community and Technical College / M. Thompson.
introduce students to the project management process— including project initiation, planning, execution and closure—in a hands-on way. The curriculum of the graduate project management course (Fig. 1) was linked to that of an undergraduate biomedical engineering
Planning Monitoring Controlling Evaluating Figure 1: Conceptual Framework of Metacognition (reference removed for blind review)General Assessment of MetacognitionSimply put, metacognition is difficult to measure or assess though not for lack of appropriatetheory. Metacognition is studied directly as described by Veenman, Van Hout-Wolters, andAfflerbach (2006) or as a component of other frameworks such as self-regulated learning (Winne& Perry 2005), self-directed learning (Van Hout-Wolters 2000), and strategic learning(Weinstein, Husman, & Dierking 2005). Our brief review of current methods is informed by
. Ability to work in teams. Time management and planning. Engineering Professional Skills Professional skills for co-op (resume, interviews, etc.). Project management (manage tasks, budget, etc.). How to use research resources. How to critically evaluate information (found online, in books, articles, etc.). Ability to interact with a diverse audience. Understand societal factors impacting engineering (aesthetics, ethics, sustainability, manufacturability, etc
experience using SolidWorks and AutoCAD software to best place the newequipment in order to optimize the existing floor space. The students first obtained the overalldimensions of equipment, created the 3D model of the equipment and then placed eachequipment into the given space. Figure 3 shows the initial design of the AdvancedManufacturing Laboratory using SolidWorks software. Once all the equipment and the classroom space have been optimized, the final floor plan has been issued for renovation of the newlaboratory (see Figure 4). The laboratory has three sections: Subtractive Center: The 12 Lathes, 3 Drill Presses 5 Mills and a plethora of manual equipment afford students hands-on exposure to machining best practices. The OMAX
consortium 4) Addressing Critical Challenges4) Each Institute works on the industry priorities and big challenges only solvable by collaboration Innovative Foundry Models For WBG Semiconductors • Lower $/Amp • Better yield, higher reliability • Lower barriers for small companies to enter WBG markets due to lower capital equipment cost5) Each5)Institute Balancedmanages Portfolioaof balanced Projectsportfolio of real projects for industry • NIIMBL plans two project calls per year in ongoing operations,. • ‘Quick Start’ project
-intensive institution to build a robust teaching portfolio toprepare for a future academic role. The opportunities discussed in this document are basedlargely on personal anecdotes and are directed towards students that would not have theopportunity to take courses related to or invest significant doctoral research efforts inengineering pedagogy. Readers should take the suggestions as a buffet of possibilities and selectthose that are accessible at their current institution, that meet the time-constraints of theirschedule, and that will provide the most value for the type of institution they plan to join asfaculty.Capitalizing on the Teaching Assistant RoleThere are several major reasons that drive faculty to employ their graduate students as
learning using pre and post surveys, and student and instructor feedback. Weperformed assessment across all institutions where modules were deployed. We also discusslessons learned during development, and internal and external deployment of the e-learningmodules.IntroductionMore and more higher education institutions are trying to develop an entrepreneurial mindset instudents. Approaches for doing this include integrating entrepreneurship into the curriculum,structuring the physical environment to promote entrepreneurial minded learning (e.g., creatingmakerspaces), providing extracurricular activities and programs such as university innovationfellows, business plan and pitch competitions, and fostering student organizations that
engagement, preparedness, andconfidence in the lab. The following innovations were assessed by instructor observations,excerpts from student reflections, informal student feedback to instructor, and student commentsin end-of-course evaluations. Instructor prompts for each activity are shown in Table 1. 1) In pre-lab written reports, students are required to draw a figure similar to the “graphical Table of Contents consisting of a colorful figure that represents the topic of the review” required for reviews submitted to the American Chemical Society (pubs.acs.org).5 This “snapshot” conveys the student’s overall plan or strategy for the lab and notes any important volumes, time limits, etc. 2) The instructor provides guided
2001, Dr. desJardins c American Society for Engineering Education, 2017 Paper ID #19949 was a senior computer scientist at SRI International in Menlo Park, California. Her research is in arti- ficial intelligence, focusing on the areas of machine learning, multi-agent systems, planning, interactive AI techniques, information management, reasoning with uncertainty, and decision theory. She has men- tored 12 Ph.D. students, 27 M.S. students, and 90 undergraduate researchers. She is also active in the CS education community, chairs the Maryland Steering Committee for Computer Science Education, and
uses the space and diversity of use is growing. Integration into thecurriculum of several departments is planned as the space will grow into a resource tosupplement engineering design education. An iterative approach was used for the design of thespace, and this approach is continued as the community and culture of the makerspace develops.IntroductionUniversities in the United States and worldwide are investing heavily in the implementation ofmakerspaces as a key component to developing a mindset of innovation among students,enhancing their learning experience, in particular when it comes to engineering design skills, andpromoting interdisciplinary collaboration. The idea of a university innovation space is quiterecent, with the first one
attitude rather than project milestones. 5. Provide students with literature addressing team dynamics, project planning, etc. Students are very good at focusing on the task at hand and performing research on their topic of interest, but many have not yet recognized the necessity of addressing these other issues, or even realized that there is a methodical approach to working on a team with diverse personalities, work habits and skill sets.Project planning:Students need to engage immediately with mapping out their project and projecting it out tocompletion. Again, it is important for advisors to acknowledge immediately the factors thattraditionally trip up teams: 1. Not enough research and brainstorming in the beginning
Paper ID #18232A Classification System for Higher Education MakerspacesDr. Vincent Wilczynski, Yale University Vincent Wilczynski is the Deputy Dean of the Yale School of Engineering and Applied Science and the James S. Tyler Director of the Yale Center for Engineering Innovation & Design. As the Deputy Dean, he helps plan and implement all academic initiatives at the School. In addition, he manages the School’s teaching and research resources and facilities. As the James S. Tyler Director of the Center for Engineer- ing Innovation & Design he leads the School’s efforts to promote collaboration, creativity, design
include the following parameters: • Self-Perceptions: students provide opinions of how they expect to perform in science and math courses, plans for future course taking, and expectations for future career plans. • Envisioning Future: Students provide their interest level in various career fields using a Likert scale. • Attitudes about STEM: Student self-perceptions and attitudes about STEM. • Personal Characteristics and Engineering: Student self-perceptions and attitudes about engineering & technology. • Awareness of Sustainability & Green Energy: Student self-perceptions and attitudes about sustainability and green energy.Survey ProceduresAll students and their professors were provided an
extent to which the three strategies are (1) currently being implemented, and (2)are planned to be implemented. The supposition was that those scoring higher on VECTERS’value and expectancy items would be more likely to currently be integrating a classroom strategyand would be more likely to plan on using the strategy in the future (either initiating orcontinuing to use). Regarding costs, a cost-increases-with-usage hypothesis was supposed bysome on the research team even though expectancy theory supported the cost-decreases-with-usage hypothesis.Construct validity was further examined by applying orthogonal (varimax) rotation factoranalysis. Analysis was applied to VECTERS’ three sub-tests (formative feedback, real-worldapplications, and
university in In- donesia. He has developed and delivered numerous international workshops on student-centered learning and online learning-related topics during his service. Dr. Lawanto’s research interests include cognition, learning, and instruction, and online learning. c American Society for Engineering Education, 2017Students’ Self-Regulation in a Senior Capstone Design Context: A Comparison between Mechanical and Biological Engineering Design ProjectsAbstract Self-regulated learning (SRL), which is often called self-regulation, is a complexrepository of knowledge and skills for planning, implementing, monitoring, evaluating, andcontinually improving the learning process. Studies suggest
eschew methods that predict the likelihood of certain events (i.e., predictiveapproaches), and instead focused on pursuing opportunities where they are able to exert a higherlevel of control on the outcome (i.e., effectual approaches)15.Effectuation builds on work by Simon16 and others17, proposing the bounded rational model ofhuman cognition and identifying heuristics that humans use to make decisions. Sarasvathyproposed five heuristics that represent thinking in the effectual style of logic and situates them inopposition to what are referred to as ‘causal’ heuristics that aid decisions through predictiveapproaches and planning. The two sets of heuristics are reproduced in Table 1 below. Table 1 Table of effectual heuristics adapted from