applicationof modern modeling and simulation tools which are reasonably easy to use and could assiststudents in dealing with complex problems. An example of such a tool is theMatlab/Simulink/Simscape set of modeling and simulation tools that can model many complexphysical systems [7].The course that is discussed in this paper integrates fundamental ideas from integrativeexperiences and project based learning. The course builds on the material covered across anumber of different engineering and science courses, and extends student ability from dealingwith simple textbook problems to solving complex real world engineering problems. The courseis going through development stages and reflects a number of lessons learned that already havebeen integrated or
involving industry-like scenarios werelengthy and costly, and eventually were stopped or replaced with traditional lectures.Nonetheless, these studies and attempts had a significant contribution in underlying theimportance of practical approaches in conveying knowledge to students in heat transfer andthermodynamics courses, which traditionally are dry-lecture based. Moreover, the contributionof thermal-fluids energy systems performance in global sustainable development is substantialbut was not emphasized until recently. Therefore it may not be reflected in the already developedlearning modules for these traditional courses [1].In this paper we aim to present our efforts in re-developing our thermal-fluid related courses inDrexel University’s
% Faculty Grades of Student Work ….….. 84% Student Comment Faculty Comments The students worked through programming exercises to learn the basics of CANoe for CAN analysis and simulation.Part 2: Discussion Question Given a reasonable amount of time, do you feel comfortable in approaching a vehicle instrumentation or data acquisition problem that involves the use of CAN? Yes Yes, I believe I have a firm grasp of the fundamental concepts of CAN. Kind of difficult with the amount of time the professor was away. Given adequate time and resources (manual, examples, etc.), I feel that I could solve vehicle instrumentation problems using CAN.Summary:This paper reflects a portion of the content of a course that is meant to help
demonstrated some degree of naivet´e in thinking that the small size would automatically translate into afully accountable cohort without any social scaffolding by us. Future programming could help alleviate thisissue by adding in explicit cohort building activities such as social events at the beginning of the program.Improved tracking of attendanceWe largely view surveys as being reflective of the minimum number of attendees that are present. Duringthe 2014-2015 and 2015-2016 program years, attendance was tracked by the number of surveys completedthroughout the program. For 2016-2017 program, the introduction of the session surveys improved ourattendance record keeping. Figure 10 presents the change in attendance over the course of the
even further.AcknowledgementsThis material was supported by the National Science Foundation’s Research Experience forUndergraduate Education (REU) Program (Award no. 1263293). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author and do notnecessarily reflect the views of the National Science Foundation.Bibliography[1] https://www.nsf.gov/pubs/2013/nsf13542/nsf13542.pdf[2] Brownell, J.E., and Swaner, L.E.. Five High-Impact Practices: Research on Learning, Outcomes, Completion, and Quality; Chapter 4: "Undergraduate Research." Washington, DC: Association of American Colleges and Universities, 2010.[3] Crowe, M., and Brakke, D. "Assessing the Impact of Undergraduate-Research
usabilityassessment method 21. The subscales are defined in SUMI are namely; Efficiency: reflects thedegree to which the software helps the user accomplish their task. Affect: measures theemotional response of the user to the software. Helpfulness: indicates whether system isrelatively self-explanatory, and for which the help system and documentation are good or not.Control: shows the degree to which users feel in control of the software, rather than beingcontrolled by the software. Learn ability: measures how quickly and easily the users felt theycould master the software or a new feature of the software. According to these scales, a systemthat achieves a score in the range of 40-60 is comparable in usability to most of successfulcommercial software
skills. Students also learn to use Excel/Matlab for data analyses, plotting andstatistical methods.3.9 Ethics, Social and Environmental InjusticesOne of highlights of the project is the inclusion of progressive humanities and qualitative socialsciences. Students in teams are required to watch movies and documentaries that reflect onsocial/environmental injustices, breach of ethics along with gender biases in STEM fields, andsocial prejudices. Students also participate in debates that focus on public policy and arerequired to study the discussions and decisions of the Whitehouse Office of Science andTechnology Policy.3.10 WebsiteA website has been created for the Algae Grows the Future project to promote outreach andmake the project’s resource
improvement.AcknowledgementThis material is supported by the National Science Foundation under DUE Grant Numbers 1501952and 1501938. Any opinions, findings, conclusions, or recommendations presented are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References[1] Wang, J., Fang, A. & Johnson, M., (2008). Enhancing and assessing life long learning skills through capstone projects. ASEE Annual Conference and Exposition, Conference Proceedings. Pittsburgh, PA, 2008-324.[2] Shuman, L.J., Besterfield-Sacre, M. & Mcgourty, J., (2005). The abet "professional skills" — can they be taught? Can they be assessed? Journal of Engineering Education, 94 (1), 41-55.[3] Earnest, J., (2005). Abet
or agreed that they had the chance toupdate the writing instructional materials for their courses during this workshop. This feelingwas reflected in Figure 2(a) which shows the response to the statement “I had the chance toupdate the writing instructional materials for my courses during today’s sessions”. “I learned how to generate dimensions for my rubric” “I had the chance to update the materials for my own course” Engineering Engineering English English (a) Generating rubric dimensions (b) Updating
modelmanufacturing. In week six, sustainability is introduced with the three dimensions: economy,environment, and society. The product life-cycle perspective is introduced. Furthermore,pollutants, embodied energy, and impacts on workers are discussed. Embodied energy describesthe energy necessary to produce material and products including losses due to materialextraction, manufacturing, transport, process inefficiencies, electricity generation, and more. Theaccompanying homework assignment will have the students calculate material and labor costs ina given scenario and reflect on additional costs and sustainability factors.In the seventh week, product quality is reviewed in detail with regard to part dimension.Measurement frequency varies from 100% control
among university engineering faculty,practicing engineers, and the schools is necessary; it is important to demonstrate to youngpotential STEM professionals the relevance of STEM activities [6]. In addition to interactingwith practicing professionals, authentic experiential learning activities can promote STEMcareers. Experiential learning attempts to rectify what Kolb characterized as the “rejection” ofthe “real-world” by the educational establishment [7]. The key to experiential learning is thecreation of knowledge “through the transformation of experience” [7]. In this project, thisexperience will be the development of connected devices aimed at building automationapplications. This will allow students to experience, reflect, think, and act
through a flipped classroom approach. This result is seeminglycounterintuitive, especially given that the first-year faculty member had no prior exposure toflipped classroom model. Below we suggest a few possible explanations that could explain ourresults.In the faculty member’s reflection of the flipped classroom experience, it was noted that thispedagogical model more resembled that of a lab similar to one where a first year faculty memberhas just emerged from a multi-year research project. In many research labs it is common forsenior students to mentor and train the junior lab members. In that sense, working with smallergroups during instruction time did not seem foreign to the faculty member and put both thefaculty and students more at
(outer layer) and rubble (inner core) at the same time.The proposed construction sequence was also based on the assumption that it was a whollynew construction. Renovation or reconstruction would have different sequences, such asintegrating the old wall into the new wall. In addition, evidence of the key-in feature was onlyshown in eastern Jinshanling; this may or may not apply to all sections of the wall inJinshanling. If evidence is presented that the key-in was not used, the authors will update thedesign to reflect this.There was also an inaccuracy in Google Earth’s satellite images of the terrain and locationsof the Great Wall. When a placemark in Google Earth is placed in the center of the toweraccording to Google’s 2013 satellite image
form. Thequestions are also re-designed in order to attempt to maximize activation related to cryptographyconcepts by maximizing the effort subjects exert to answer the question. We expect that thesechanges to the fMRI methods will add to our understanding of where cryptography concepts areprocessed in the brain.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.1500046. 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.ReferencesAlvarez, J. A., & Emory, E. (2006). Executive function and the frontal lobes: a meta-analyticreview. Neuropsychology
presented is based upon work supported by the National Science FoundationDivision of Research on Learning under Grant No. DRL 1543175. Any opinions, findings andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation References[1] Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.[2] Ginsburg, H. P., Inoue, N., & Seo, K. H. (1999). Young children doing mathematics: Observations of everyday activities. Mathematics in the early years, 1, 88-99.[3] Hutchinson, E., & Pournara, C. (2014). Pre-school children's performance on repeat- pattern tasks
, and reflection. The collaboration between theEngineering Technology Center and the Creative Space enhances services offered by bothentities to ensure that students can fully explore all aspects of innovation by providingopportunities to tinker, explore, brainstorm, and create.AcknowledgmentsThank you to the Engineering Technology Center for all their support through this wholeprocess, including John Kostman, Matt McLaughlin, Tom Barnhart, Doug Eltoft, ChristopherFomon, Daniel Mentzer, and Danny Tang.Thank you to all those at the University of Minnesota (LATIS [Liberal Arts Technologies andInnovation Services], Medical Device Center, Walter Engineering Library, and DigiFabLab[College of Design]), University of Wisconsin – Madison (Wendt
Hispanic – 43%. Over 55% of LaGuardia’s students receivedfinancial aid in 2015 and over 55% of its students who were living with their parentsbelonged to homes with a family income of less than $25,000 while over 75 % of itsstudents who were living away from their parents belong to homes with a family incomeof less than $25,000. The lofty goal of joint/dual degrees is to bridge the gap that dividesthe number of students from underrepresented and underserved populations who canaccess and earn an engineering degree so that more engineering degrees can be earned tobetter reflect the nation's diversity.In the AS/BE program, the student spends two years at the community college, and uponreceiving an AS degree, enters our engineering program as a 3rd
audience time only masked the significance of the usability data with an activity thatdid not reflect usability, but merely represented passive reception. All tasks were re-analyzed and certainprocedures were modified to focus on activities that indicated differences in usability. The testing timeoverall has been reduced from the initial design of several hours per user (four platforms, nine tests) toabout 20 minutes per platform or about 45 minutes for a complete single user experience (two platforms,three tests). It would have been difficult and expensive to recruit a statistically significant number ofusers to complete a set of tasks lasting several hours per user.One of the difficulties of measuring cross-platform occurs when the app
carriedout in order to obtain refined velocity profiles to confirm the flow quality in the contraction andtest section. Furthermore, velocity profiles should be measured in different locations through thesection length and with different water levels to verify the flow quality along the channel is asdesired. Subsequently, the flow quality can be improved by screen mesh density and correctionsin the diffuser. The end tank will be also modified to avoid any flow reflection from the end wall.Despite the students spent a lot of time and effort on this project and they were very committedto its completion, they were not able to finish the construction in time. It was originally expectedthat the project could not be finished in two semesters because it
are those of the authorsand do not necessarily reflect the views of the National Science Foundation. The authors alsowould like to acknowledge the effort from Ms. Caroline Liron, Dr. Matthew Verleger, whohelped conduct the project in their classes, Dr. James Pembridge who offered suggestions on theproject design and implementation, and the support from the Institution Research at Embry-Riddle Aeronautical University who conducted and collected the survey data for this project.Bibliography1. Bualuan, R. (2006). Teaching Computer Programming Skills to First-year Engineering Students Using Fun Animation in MATLAB,” Paper presented at the 2006 American Society for Engineering Education Annual Conference & Exposition, Chicago, IL.2
methodology will not only improve students’ learningbut will also offer low-cost and flexible training platform necessary for 21st century students.Even though AUC is a preferable type of feedback compared to KCR, it is more complex andtherefore expensive to develop. Instructional designers are often interested in efficiency. It mightbe expected that the additional steps necessary for AUC would require more study time.References [1] Nahvi, M. (1996). Dynamics of student-computer interaction in a simulation environment: Reflections on curricular issues. Proceedings of the IEEE Frontiers in Education, USA, 1383-1386. [2] Hsieh, S., & Hsieh, P.Y. (2004). Integrating virtual learning system for programmable logic controller
scope isinterdisciplinary including design, development and research. The research paper is relevantto Chi Xu’s Ph.D. dissertation. Furthermore, the information is also used in a graduate levelpublic works engineering and management class that is offered each fall semester. Thismakes it relevant to the theme of the ASEE Graduate Studies Division.IntroductionThe solar energy is an ideal energy can gain from the sun, as a type of renewable energy, solarenergy has its advantage: widespread, low contamination and flexibility. High concentratedphotovoltaics is new solar technology which can produce electricity cost-effectively. Byusing a reflection system to concentrate solar radiation can decrease cost and increase theefficiency. HCPV uses cooling
product design, process selection, manufacturing system design, etc. affect the company's financial issues. To develop skills that extend the basic concepts to solve problems encountered in personal financial situations.The class involves lectures, quizzes, homework assignments, two midterm exams, in-classproblems, and a final exam. The course grade reflects the student performance in six quizzes(20%), two midterm exams (40%), in-class clicker questions (10%), and a final exam (30%). Theinstructor decided not to grade the homework assignments because these assignments proved tobe ineffective in enhancing students’ learning in previous semesters. The instructor noticed thatstudents would receive a high or perfect grade in the homework
nature. The final project report includes a section where the students areencouraged to reflect on the quality of their experience as it pertains to their understanding ofsystems engineering. Student surveys are also conducted in an effort to assess the impact of thecourse and elicit feedback on how the course may be improved.Previous Design Explorations in Engineering Education via Systems EngineeringCourses involving integration and testing of complex hardware systems are not new toengineering education. In 2012, faculty at St. Louis University reported on a systems engineeringcourse where students gained hands-on experience with the development of a small satellite.They claim, “It is very important to use real hardware for practicing the
finished their projects (see figures 2a and 2b). Participants were asked to reflect back tobefore the project began to rate their confidence on skills on a Likert scale, and then considertheir confidence at the conclusion of the project. In the future, a survey will be given to studentsat the first build session, and the same survey upon completion to measure competencies.A statistical analysis of the survey results was performed. For each category considered, the datawas first tested for normality. For normally distributed data sets, a paired t-test was used. For thedata that was not normal, the Wilcoxon R-S test was used to test for significance. A p-value lessthan 0.05 was considered statistically significant. Figure 2a: First part of survey
fact that SEEDS programs provide an immediate link to other underrepresented populationsin the Clark School of Engineering through LLCs and regular networking events.Regardless of the type of SEEDS program in which they participated (i.e., LLC, mentoring, orthe combination of LLC and mentoring), engineering undergraduates were more likely to beretained within engineering than peers who did not participate in SEEDS programming.Moreover, based on the study’s findings it appears that participation in the LLC programs (i.e.,Flexus and Virtus) in combination with the mentoring program may have the most positiveimplications for student retention. Reflected in the results, as a whole SEEDS students whoparticipated in the combination of living and
in fall 2016. The goal of the course was to providegraduate students who come with undergraduate degrees in engineering, plant sciences, or datasciences, with a common knowledge base in the area of predictive plant phenomics. The firstoffering of the course was successful, but areas for improvement were identified, and includebetter coherence between course topics and improved student assessment throughout the course.A revised course is now being planned for fall 2017.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber DGE-1545463. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of
material, withmany students viewing any given video multiple times. Students took advantage of the outcomebased assignments to progress at their chosen rate, with several students finishing the course oneor two weeks prior to the end of the term.IntroductionIf one is seeking information on the best teaching practices in higher education, or engineeringeducation, you do not need to go far to find a vast library of resources. Terms such as “activelearning”, “flipped classrooms”, “hybrid courses”, “reflective thinking”, “standards-based grading”,and others run through the literature (for examples see Felder et. al, 2011[1]). As an engineeringprofessor, I find the number of options and recommendations to be somewhat daunting. Myneeds are not for more
system to collect AssignmentReview data every fall and spring, but only on about 1/6 of our courses each semester. Wemodified the formal requirements for the Assignment Review to reflect this change. Theseprocedures are in effect for our 2016-2022 ABET cycle. With 1/3 of courses being reviewed each year (1/6 in fall, 1/6 in spring), the matchbetween assignments and targeted SOs are reviewed twice in the ABET accreditation cycle. Forthe Assignment Review assessment, the instructor is required to submit a copy of an assignment(+ solution) that targets each SO associated with his/her course. It is recommended that, ifpossible, one assignment be designed to target multiple student outcomes. This serves todiminish the volume of data collected
had observed from using TeachEngineering curricula;student engagement was commonly mentioned: “I am a physics teacher that has been looking for a more creative way to introduce vectors. My honors physics [students] are having a blast with the vector voyage activity!” “Students are engaged and thinking. That’s a definite plus!” “My students are engaged in critical thinking, they have a lot to say about it and my principal is impressed.” “My students have loved using this curriculum. They have been so engaged and excited. They meet me at the door asking what we’re going to do in science today!” “Students are more engaged and excited about learning. Their conversations reflect what they are