decrease in score (lab #2 tolab #3) and then minimal increase for the final lab assignment (lab #3 to lab #4). Whentransitioning from lab #2 to lab #3, students were required to write all sections of the lab, whichmay detract effort from other sections of the lab leading to the decrease in score. The minimalincrease we see in score from lab #3 to lab #4 may indicate growth in all sections. In the future, we plan to continue evaluating writing samples in our database, approximately120 so far, while adding more writing samples to the database from other courses utilizing thesame template. Once all samples are graded, we will be able to assess graduate student writingskills and undergraduate writing skills. Additionally, within our graduate
videoFigure 12: 3 Ask a questionFigure 13: 4 Write fileLessons Learned and Conclusions • Find the right balance of the output volume for the display. The users need to be able to hear the video, but the level should be respectful of nearby labs/offices. For this particular display, it is located amongst many research labs and so it was not too sound sensitive. Still, the sound was frequently adjusted by others through the TV volume controls. • Find a way to disable auto-updates on the host computer, instead make a plan to manually update software as needed. The auto-updates on this computer required the user to approve the update. As such, it stalled the video display by having the pop up window on the other
of this potential program that students will be moreinformed about the engineering profession and promote interest in pursuing an engineering andtechnology career in the future.Bibliography1 Ali, R. (2015) Trinidad and Tobago: Education Reform and Societal Mobilization. Accessed January 24th, 2016from http://www.coha.org/trinidad-and-tobago-education-reform-and-societal-mobilization/#_ftn12 Kassim, H., A.Dass, and T.Best (2015). Higher Education and Statistical Review: Issues and Trends in HigherEducation, 2013. The University of the West Indies, University Office of Planning and Development. AccessedJanuary 26th, 2016 from http://www.uwi.edu/sf-docs/default-source/uopd---general/hesr2013--issues-and-trends-in-higher-education-march2015
Partner interviews, we heard them talk about their work in ways that suggest thatboth scientific and engineering habits of mind, like observing, trying out different plans todetermine which is best, weighing different tradeoffs while developing a prototype, all as part oftheir making processes. These weren’t simply mindless activities, or things that people weredoing in the same way at all times; they were tinkering, experimenting, and working out the bestmethods to develop the best products possible given the materials they had on hand.Discussion: (M)aking vs (m)akingIn this paper, we have argued that while the Making has great potential to provide pathways toscience and engineering careers for many audiences, the ways in which the Maker
agenda. Our future work includes a means to have students systematicallyreflect on their engineering assets and connect these to their developing engineering identities.As we integrate new engineering design challenges into early coursework, we plan to explore theimpact of both of these efforts on student persistence.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC #1544233. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References1. Atman, C.J., et al., Moving from pipeline thinking to understanding pathways: Findings from the academic
improvement even thoughinteractive images was not provided.In addition to the interactive images, instructional videos have been developed so that anystudent can recreate the results shown in Figures 1 and 2, and apply the techniques to anymember and its particular loading condition. This will provide students with a betterunderstanding of the software, as engineering students need to use it frequently throughout theircourses, while encouraging them to develop these models for their own visual comprehension ofvarious concepts. Finally, these models are fantastic tools for verifying answers to homeworkproblems. The authors also plan to expand their library of members and loading conditions.Once the library of interactive images is fully developed, the
proficiency) to “10” (highlevel of proficiency) in…1. …handling laboratory equipment, measurement tools and software for experimentation. (1)2. …identifying strengths and weaknesses of engineering specific theoretical models as a predicator for real material behavior. (2)3. …planning and executing common engineering experiments. (3)4. …converting raw data from experimentation to a technical meaningful form. (4)5. …applying appropriate methods of analysis to raw data. (4)6. …designing technical components or systems on Basis of experiments results. (5)7. …recognizing whether or not experiment results or conclusions based on them “make sense”. (6)8. …improving experimentation processes on basis of
participating in the course was obtained from formal interviews at theconclusion of the course. The interviews were conducted by the adjunct professor responsible forteaching the course and the associate professor responsible for the course origination.Course feedback from the coordinators and instructors indicated that close, positive collaborationwas experienced throughout the course planning and teaching phases. Persistent efforts by theOEM professional engineer to visit the experimental lab frequently to work with studentsassigned to setup the experimental hardware enhanced course collaboration and allowed foraccurate experiments to be completed. The same engineer presented two guest lectures to theclass, further enhancing student-sponsor
: Medical Electronics in ElectricalEngineering Department. The course has 48 hours of instruction spanning over 16 weeks. This isa senior undergraduate course open to senior undergraduate students and masters students as anelective course. Prerequisite courses are Electronic Devices & Circuits, Signal Processing,Instrumentation and High School Biology (one week remedial lectures are planned to overcomethis deficiency, in case).4.1 Course DescriptionThe short introductory description provided to students is as follows:“This course provides an introduction to the emerging field of Medical Electronic i.e.application of Electronic System Designing for Medical Applications. These application rangesfrom diagnosis such as electrophysiological
Annual Conference in June 2015(Seattle, US). The second workshop was organized in Pnue, India, on January 10 during thethird International Conference on Transformation in Engineering Education (ICTIEE 2016).The next two workshops are planned for during the ASEE Annual Conference in June 2016(New Orleans, US) and in November 2016, during the World Engineering Education Forumin Seoul, Korea.3.4 Edited BooksIn 2011, members of GOLC published an edited book on online laboratories, titled InternetAccessible Remote Laboratories: Scalable E-Learning Tools for Engineering and ScienceDisciplines 3. The initiative was to document current developments in the multidisciplinarycreation of Internet accessible remote laboratories. This book offers
P kits havve been well--received byy students10.Plans forr the future are a four-fold. First, we will w evaluatee portable PL LC kits with the sensormodule. This will alllow students to see how sensors and switches aree incorporateed into real-lifeapplicatioons. Second, we will plaace some porrtable PLC kkits on reservve in the librrary so thatstudents can check th hem out as needed. n Thirdd, we will coontinue desiggning in-classs exercises andhomeworrk assignmen nts that inco o the PLC kkits with sennsor module to enhance orporate use ofexperienttial learning. Finally, wee will
categories; e.g., do not select affective as a learning domains category since it is a whole set if you also plan on selecting teamwork skills as a category. 4. A learning domain category could contain skills sets which will not be utilized for PIs classification; e.g., affective learning domain category containing leadership, teamwork and professional ethics skills sets; leadership, teamwork and professional ethics will NOT be a learning domain category but will be classified as affective domain skill sets.Bloom’s 3 domains, cognitive, affective and psychomotor, are not absolute subsets of one another.They contain skills sets as prescribed by the 11 EAC ABET SOs which are not learning domainscategories. Therefore
cycle with the two codebooks. Two researchers then reviewed the analysis tocorroborate its trustworthiness20. Plans to expand this work include potential quantitative analysisusing frequency counts25, and expansion of data analysis using multiple coders24. TABLE 2: Aggregate codebook using Deakin Crick Et al.’s seven Dimensions of Learning Power 6 and emergent categories • Circle bullet Indicates preliminary definition Ø Arrow bullet Indicates emerging definition 1. Change and Learning (as opposed to stuck & static) • The extent to which students see themselves grow as learners Ø Take steps to expand their repertoire of learning skills 2. Meaning Making (as opposed to data accumulation) • Links to prior learning (what
applicationsfrom our targeted institutions we are planning recruitment visits for each school, which hasworked well in the past. For the 2016 summer, we have visited three partner institutions and thefourth one is being scheduled. As seen in Table 2, the drop in the percentage of applicants fromour partner institutions can be explained by the increase in applicants in 2015. The actualnumber of partner institution applicants is similar.The preliminary data on home institution mentors is promising as students have found itbeneficial and have continued interactions beyond the summer program. Even though the 2014cohort had limited pre-program interactions, the quality of the mentoring relationship can be seenby the post-program response (three students
Paper ID #16951Teaching Engineering Design in an Academic Makerspace: Blending Theoryand Practice to Solve Client-based ProblemsDr. 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
fees – theSustainable Campus Environment Fee and the Cleaner Energy Technologies Fee. With the ultimate goalof making the University of Illinois at Urbana-Champaign a leader in campus sustainability, SSC reviews,recommends, and funds projects that increase environmental stewardship, inspire change, and impactstudents [4].” These two fees generate over $1.1 million annually, which is one of the largestsustainability fund of its kind in the United States [4]. Funds are made available for sustainabilityprojects proposed by the students. Participation in the SSC competition provided an ideal platform toorganize all of the goals of the one credit hour class—namely, group work, leadership, project planning,written and oral communication, etc—around
-the-art course sequence in ICs that produces technically-competent circuit designers must include exposure to real-world design experience withindustry-standard software and laboratories, and instruction that equips students to address futureneeds for reduced device size, weight, and power as well as the capacity to design increasinglycomplex integrated circuitry and modern computing systems of interest to the computingindustry, aerospace, and defense, as discussed in Report on Technology Horizons, LayeredSensing, DOD STEM Education & Outreach Strategic Plan, A National Action Plan, Constableand Somerville, and Examination of the U.S. Air Force’s Science, Technology, Engineering, andMathematics Workforce Needs.6-11 Such a course sequence
, comprehensive university. Proceedings of theAmerican Society of Engineering Education, New Orleans, LA.Shanker, T., and Cooper, H. (2014). Pentagon Plans to Shrink Army to Pre-World War II Level.The New York Times, February 23, 2014.University of North Carolina, “Military Credit Advisory Council,” available athttps://www.northcarolina.edu/councils-and-working-groups/military-credit-advisory-council-mcac.University of North Carolina System. (2016). Breakout Session Agenda for October 27, 2016.Western Carolina University. (2016). Western Carolina University Liberal Studies Program 2.0.Downloaded on February 4, 2017 from http://www.wcu.edu/learn/academic-enrichment/liberal-studies-program/liberal-studies-resources-for-faculty/index.asp.
. Assessment establishes thatraise in student engagement and learning is significant. Student engagement calculated for thetotal class registration against the actual number of students present for that day. Actualengagement will be little higher, if the student engagement is computed against the actualnumber of student present in the class. However, it is evident that student engagement andlearning improved, using above method to solve problems through active learning. As a futurework, authors plan to establish a method to measure and present the increased effectiveness ofactive learning in such courses.References[1] Jenny A. Van Amburgh, et al, A Tool for Measuring Active Learning in the Classroom,American Journal of Pharmaceutical Education 2007
seniors were very similar, which suggeststhat CNC Tutor is appealing to students regardless when they took the class. However, onquestion number #5, the average rating for seniors was 2% higher than for juniors. On question#4, the average rating for seniors was 4% higher than for juniors. On the other hand, on question#6, the average rating for seniors was 1% lower than for juniors. These data suggest that seniorsappreciated CNC Tutor more, perhaps because they had already taken the class. Both the juniorand senior ratings suggest that the practice questions need improvement. Possible enhancementsinclude the addition of more video and/or simulations to help learners to visualize abstractconcepts.Future plans include continuing to develop
; (1st year) Applications Processes Foundational Heat Power Fluid Power (2nd year) Applications Applied Applied Electrical 3rd year Thermodynamics Fluid Mechanics Energy Systems Career Capstone Co-Op & Internship Electives (4th year) HVAC Utilities Transportation Manufacturing Figure 1. Energy conversion modules are being integrated into the 4-year plan of study.Another aspect of Figure 1 is an effort to maintain continuity between the energy conversionmodules in different courses by creating an Energy
interrelationbetween design processes and products. The ability to utilize multiple representations has beendemonstrated to be effective in improving student learning in math education, a discipline thatcan be highly process-oriented. Similarly representational fluency impacts engineeringmodeling. In the context of teaching design the term representation here refers to a written orgraphical expression of some aspect of the design process and/or product. Ideally the set ofrepresentations would form a minimal and complete orthonormal basis set; that is the ensembleof representations captures the design in its entirety and the representations are not redundant.Since the design work of many engineers is a set of plans or diagrams (forms of representation)the
important because as an N/A (none) systems 17 engineer practicing, we need to think ahead and plan for environmental, systemic and social changes. Interpersonal Yes No, it is not important for all (none) skills 19, 20 CE… due to the lack of interaction for some computer jobs in CE but consulting is very interaction based Legal Yes… because every engineer must N/A
a commonpain point for faculty: despite providing copious feedback, student writing was not improving.Students complete four 1-credit laboratory courses in their junior and senior years. In this study,we report on changes to three of these courses. Each course included three complex experiments.To make our changes, we reduced this to two complex experiments, carefully considering whichexperiment to omit based on student feedback and outcomes. We then introduced variants offeedback and revision related to two short technical reports. Each lab includes a prelab with a jobsafety analysis (JSA) and experiment planning, as required by ABET. Students complete theexperiment as a team and turn in a draft of their methods during the experiment
and communication technologies have led to the development ofpowerful technological resources for teaching and learning. The 2017 Nation EducationTechnology Plan (NETP) of the U.S. Department of Education recommends that for every levelof education, institutions should utilize learning technologies to facilitate education anywhereand at any time [1]. Specifically, for the success of American postsecondary students includingstudents from diverse socioeconomic and ethnic backgrounds, genders, age-groups, and learningneeds, the supplement of the NETP report includes recommendations for using thesetechnologies to leverage student-centered approaches of teaching and learning [2]. Theseapproaches are beneficial to promote personalized learning
relates to the expandingemployment opportunities related to data analysis skills. Further, these results may help toinform potential programmatic evaluations and changes.BackgroundDuring the last three decades, there has been controversy about what data analysis knowledge isrequired by engineers in order to make sound decisions. An important precedent to the modernABET criteria asserted that engineers should appreciate five aspects of statistics [1]: • the omnipresence of variability, • the use of graphical tools such as histograms, scatterplots and control charts, • the concepts related to statistical inference, • the importance and elements of well-planned experimental designs, and • philosophies of data quality derived from
“there is a research consensus on themain features of professional development that have been associated with changes in knowledge,practice, and, to a lesser extent, student achievement” (p. 183). These features include: (1) afocus on subject matter content and how students learn that content; (2) opportunities forteachers to engage in active learning; (3) coherence, which includes consistency with bothteacher knowledge and beliefs, and school, district, and state policies; (4) sufficient duration, interms of number of hours and span of time; and (5) collective participation. The APRENDEProject professional development plan will address each of these five features using a researchdesign that privileges problem solving through iterative stages of
-year increase (M = 5.2%, S.D. = 9.4% vs. M =16.1%, SD = 21.6% percent of coding intervals) in the amount of time instructors use groupwork in the classroom [t(27) = 2.52, p =.02].Discussion. Gateways-ND will continue formally for one more year (through August 2020). At thistime, roughly 175 instructional faculty and staff will have completed the two-year program,which will, in turn, would have directly impacted the educational experiences of more than30,000 students during the five-year period. The ultimate goal of Gateways-ND is to maximizeinstructional effectiveness and student success in STEM disciplines.References.[1] Office of Planning, Evaluation and Policy Development, “Advancing diversity and inclusion in higher education
Frequency Problem Scoping – Teacher Teacher provides the context of the problem 9.9% Problem Scoping – Student Students define and/or identify problem context 1.4% Solution Formulation Students develop plans 12.7% Student Production and Students build their prototype 19.7% Performance Students test their prototype 8.5% Communication and Students evaluate their testing results 4.2% Documentation of Results Students communicate results with others 0% Optimization Students identify ways to improve their design 4.2% Engineering