,education.1 Technical skills are no longer sufficient to be prepared as a professional engineer.Twenty-first-century engineers must also now possess well-honed communication skills and thedisposition to fully engage and participate in global workforces. The necessity for engineers towork across cultures and disciplines has been increasingly spotlighted by engineeringprofessional and educational communities as reflected in recent national reports, conferences,and publications.2 The American Society of Mechanical Engineers brought to light acontemporary reality: “The economics of nations are becoming increasingly interconnected. Information technology and knowledge cross borders through international telecommunications and online
are those of the authors and do notnecessarily reflect the views of the sponsor.References1. Wang, B., “The future of manufacturing: A new perspective,” Engineering, 2018, vol. 4, pp. 722–728.2. Spak, G.T., “US advanced manufacturing skills gap: Innovation education solutions,” In Proceedings of the 4th International Conference on New Horizons in Education, Elsevier, 2013.3. Deloitte and The Manufacturing Institute, “The skills gap in U.S. manufacturing: 2015 and beyond,” 2015.4. Kimmel, H., and Carpinelli, J., Burr-Alexander, L., and Rockland, R., “Bringing engineering into K-12 schools: A problem looking for solutions,” In American Society for Engineering Education Annual Conference & Exposition, 2006.5. Kevin J. B
powerful tools for recovery.Beginning in mid-September 2001, the United States experienced unprecedented biologicalattacks involving the intentional distribution of Bacillus anthracis spores through the postalsystem [6]. The full impact of this bioterrorist activity has not been assessed, but already the tollis large. A total of 22 persons have developed anthrax and 5 have died as a direct result [6]. Morethan 10 000 people were advised to take post exposure prophylactic treatment because they wereconsidered to be at known or potential risk for inhalational anthrax; thousands more becamevictims of hoaxes or false alarms, and several coworkers, friends, and family members of thosedirectly affected developed severe anxiety attacks. The impact was
. This project allowed students an opportunity tofollow a process from design conception through prototyping and offer a hands-on opportunityfor final production. The general idea for the project, colloquially referred to as the “Cube ofKnowledge” was to provide a context to teach several aspects of engineering design, CAD andfabrication skills with a project that involved the whole class, but afforded individual studentsthe chance to run the machines and develop personal experience with the skills, technology, andeffort that is required to produce a precisely machined part.Project OverviewThe Cube of Knowledge project consists of a very simple overall design made up of sixrectangular pieces that are assembled to create an equilateral cube. The
requiringcooperative learning, research, synthesis and evaluation, and communication skills. Theproject also provided context and motivation for the subject matter in the respectivecourses. The paper describes the pedagogical framework and the assessment datagathered. In addition, attempts were made to facilitate effective group interactions and toform a “community of learners” beyond traditional class boundaries. These aspects arealso discussed. The paper concludes with a review of lessons learned.Project OverviewStudents in an undergraduate section of Engineering Thermodynamics II and a graduatesection of Advanced Thermodynamics were assigned to groups of five or six including atleast two students from the graduate course in each group. The overall learning
Paper ID #45806Exploring Undergraduates’ Experiences of a Two Day Quantum SummerSchoolNicholas Dang, Purdue Engineering EducationDr. Muhsin Menekse, Purdue University at West Lafayette (PWL) (COE) Muhsin Menekse is an Associate Professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research focuses on exploring K-16 students’ engagement and learning of engineering and science concepts by creating innovative instructional resources and conducting interdisciplinary quasi-experimental research studies in and out of
feel free to make our cases to become 'living documents' reflecting the changes in the way your team thinks and solves problems.)• To design and conduct physical and / or virtual laboratory experiments, as well as analyze and interpret real measured data.• To design and integrate systems, built of components and objects, to perform a desired process for a set of defined needs, or customer requirements within time, quality and cost constraints.• To understand the total quality rules and implications within and beyond the boundaries of the selected case.• To understand, evaluate, test, learn and apply various software packages for the sake of learning problem solving methods, versus just clicking on buttons offered
they had in mind.A study of the lessons provided suggests the hypothesis that faculty are interested inimprovements and indeed know what improvements are needed, but they lack a systematicinnovation cycle approach, a way to evaluate the scope of their projects, and means for assessingthe outcomes and then modify their innovations appropriately.Based on this, the TAMU RED project is focused entirely on culture change via facultydevelopment and partnership, eschewing prescriptive notions of curricular change entirely. Theaim is to create a culture that is faculty driven, encourages a sustained process of incrementalimprovement and responsiveness to student learning through experimentation, measurement, andsharing. Two key levers in this culture
of parallelism was successfully integrated intovarious undergraduate courses. Students’ feedback was positive. In the future, more courses areto be revamped and developed by infusing HPC contents. The results will be disseminatedthrough summer workshops. A two-day summer workshop will be organized each year duringthe? two project years. Sample topics covered in the workshops include: 1) current HPCdevelopment; 2) multi-core and pipelining to improve throughput; 3) parallelism and cloudcomputing; 4) energy saving simulation and solution through HPC; 5) applications in computervision and machine learning; 6) K-16 educators’ role in computing workforce shortage. Six to10 participants will be invited to attend each summer. All the teaching and
are needed for a good session, they just need to know if the service is ready to provide agood session.5. Data CollectionThe solution must take into consideration the typical management constraints of SaaS based services. Itcould not assume management access will be available to the actual WebEx board or the WebEx servicecontroller beyond being able to pull publicly available statistics. For this reason, the solution is an overlaywith monitoring endpoints mirroring the WebEx boards, connected to the same access networks.The relevant monitoring data can be collected in two distinct ways, each with its benefits and challengesas summarized in Table 3.Table 3. Data Collection Methods Data Collection Description Pros
sustainabledevelopment by addressing three sustainability decision-making challenges: interpretation,information structuring, and influence. They concluded however, that better practices and abroader shared understanding are still required. In addition, in their work, they framed sustainableassessment and sustainable indicators in the context of sustainable development as a decision-making strategy introducing both fields along with several essential aspects in a structured andcomparable manner.T. M. Koontz, A. Zwickle, K. M. Slagle, J. T. Bruskotter, [3], developed a 16-question assessmentwith multiple choice answers through soliciting expert input, focus groups, pilot testing,distribution via a large-scale online survey, and analysis using item response
modified to allow more academic credit to be assigned to either MAE 302L or MAE 402L (orboth).Evaluation of Student Preparedness — GradesOne of the most difficult instructor tasks involved in capstone laboratories is evaluating studentperformance and assigning grades. The difficulty is related to the unavoidable subjectivity of theevaluation and the intrinsic muting of individual contributions whenever students work in teams.In MAE 302L, individual contribution in the laboratory is assessed through peer reviews andevaluations9 (see Appendix C). MAE 402L has a more definitive individual component, in that35% of the final grade is attributed to the student’s individual lab plan. A grading rubric for bothcourses is provided in Appendix D.Table 1
intended to provide greater access to engineeringeducation in the state of North Carolina. Of special note, is the University of Colorado atPueblo, whose mechatronics program was featured in the June 2008 issue of MechanicalEngineering.4 At the time of publication, this program was one of only three mechatronicsprograms offered through engineering departments nationwide. Page 14.74.3In 2007 Southern Polytechnic State University started a Bachelor of Science in MechatronicsEngineering.5 In addition, Lawrence Technology University (in Michigan) now offers amaster’s degree in Mechatronic Systems Engineering.6Although the previous discussion is not an
addition, higher levels of retention were seen after pairprogramming was introduced. The instructor intends to continue using pair programming in thiscourse, and will attempt to improve student compliance in alternating roles.Bibliography 1. J. Bevan, L. Werner, C. McDowell, ‘Guidelines For the Use of Pair Programming In a Freshman Programming Class,’ Proceedings of IEEE-CS Conference on Software Engineering and Training, 2002. 2. S. F. Freeman, B. K. Jaeger, J. C. Brougham, ‘Pair Programming: More Learning and Less Anxiety in a First Programming Course,’ Proceedings of the ASEE Annual Conference and Exposition, June 2003. 3. E. F. Gehringer, ‘Is Pair Programming an Effective Way To Teach Computer Architecture
selection byasking a consultant, which increases the cost of the project. Having completed the WBS stage,students go through each activity and complete the sub-activities required. The main tasks that Page 26.1083.4for participants is to determining the amount of equipment, personnel and material for eachactivity. Resource selection is an iterative process whereby the program allows a range of valuesand methods. Selections outside of this range results in a call from the project managerrequesting another look. Options within the range have cost and schedule ramifications. Theyalso fill purchase orders based on their calculations. Each activity
Marshall University 2008 NA iLet’s summarize the data. Since Newberry and Farison’s survey, 13 schools have added generalengineering programs. Three of these are philosophical, three are flexible and seven areinstrumental. 28 of the 34 programs found in operation by Newberry and Farison were still inoperation in 2010/11. All six of the programs that disappeared were classified by Newberry andFarison as flexible programs. The total numbers and distributions of the programs are shown in Page 25.976.4Table 2. No significant shift in the statistics beyond a growth in total number of programs isapparent
have redeveloped our design studiocurriculum.The knowledge introduced and the skills developed in these classes include:• Critical thinking – using knowledge base to evaluate design solutions;• Problem definition – the ability to clearly understand and define what the problem is;• Problem solving – the ability to understand a given problem and develop appropriate solutions;• Presentation - emphasis is placed on communication, both oral and written;• Creativity – thinking beyond the ordinary and given path; to use your background and personal interpretation to put things together in new ways;• History/Theory – through lectures and exercises to explore precedence and understand the ideas behind them;• Documentation – further develop both
on to the survey. Were they just toobusy? Or worse—did they ever receive the survey in the first place? Sorting through a maze ofpublished and unpublished area code changes, we used the telephone to continue our pursuit ofaccurate contact information. Our inquiries revealed a variety of reasons for nonresponse suchas retiring PIs, alternate summer computer sites, and a fear of computer viruses. We ultimately engaged in additional communication with 66 percent of the surveyrecipient sites. These communications were beyond the initial survey preparation notice, theactivated survey itself, and/or routine follow-up reminder notices and are summarized in Table 1. The PI or other project representative of 30 percent of the total
time in a technical writing class can be used for not only providing students withmaterial to write about but also to help students become better engineers and to developskills that are part of the ABET Outcomes a-k. This paper mainly describes how a designcontest is incorporated into my technical writing class. But the assignments also include thedesign and presentation of an original experiment as well as summarizing talks by analumnus who works at an architectural design firm and an Industrial Advisory Board (IAB)member who is a group leader in a defense research laboratory. They come to answerstudents’ questions about industry; to discuss how they use writing in their jobs; and todiscuss how to successfully communicate in an interview and
activities.After determining the need for a sprint system, the sprint schedule was carefully deliberated. Asprint cycle with a two-week sprint cadence was designed to allow sufficient time for progresson complex tasks and to maintain frequent intervals for evaluation and adjustment. Performancetracking was implemented using Excel to log data across multiple sprints. This tracking systemprovides valuable insights into efficiency, enabling the identification of bottlenecks andopportunities for improvement through data-driven analysis.Figure 1: This sample is a mock-up of how multiple sprints are tracked for Category 3:Literature Review/Material Preparation.The metrics adopted for the sprint method are carefully chosen to ensure effective tracking of
activity exposurechallenge through the implementation of new educational science procedural standards thatincorporate engineering thinking such as SEPS (Scientific and Engineering Practices Standards).The challenge is that K-12 (high school focus) is still very siloed, so a difficult roll-out [1], [2].Some colleges are implementing pre-course trainings to help incoming students better preparefor college, such as summer bridge courses and pre-course preparation sessions [3], [4], [5], [6].These tend to focus on a particular topic and typically do not explore interdisciplinary elements[7], [8].Extracurricular student organizations and clubs are assembled to foster student engagement ofspecific topics. These are often student run with limited faculty
Fall 1999. Regardless of evaluation visit results, the educationalexperience for faculty and staff in going through the assessment model development process hasalready made the effort a success.The SJSU College of Engineering was recently reorganized into five engineering departmentshosting nine degree programs of which all but one has historically enjoyed continuousaccreditation. Also, the SJSU Department of Aviation and the Division of Technology wererecently transferred into the College. As technology programs, they are not involved in theaccreditation process incumbent on the engineering programs. Page 5.192.1Characteristics of the SJSU
student not only to develop an understanding ofspecific concepts, but also a way of thinking. In addition, in many learning environments,students are forced to learn a new tool, in the form of the programming environment being used,along with these concepts and patterns of thinking3. Because of this, many students will notdevelop a sufficient level of proficiency in programming, even after progressing through thetraditional two or three course introductory programming sequence4, 5. This is a significantproblem, especially in the engineering disciplines, where many students will be required to usesome form of programming during either their academic and/or professional career, but very fewreceive more than one or two semesters’ worth of
Principles of SustainableEngineering for application in civil and environmental engineering (CEE) courses, and wasrecently updated through systematic literature review to reflect a broader set of evaluationcriteria. The rubric’s constructs of sustainable design and their measures are being validated inthree phases consistent with the Benson model of construct validity.This paper will focus on efforts to iteratively validate the new rubric’s content by benchmarkingthe criteria against well-established sustainable development and design frameworks, includingthe UN Sustainable Development Goals, STAUNCH© (Sustainability Tool for Auditing forUniversity Curricula in Higher-Education), and the Envision™ Infrastructure Rating System.These three frameworks
learner. While studentsentering engineering programs tend to have higher SAT math scores [2] and a broader array ofprevious STEM education courses compared to other students in different majors, many studentsare still ill-prepared for the academic rigors of engineering programs, suggesting that otherfactors beyond broadly conceptualized intelligence make contributions to what comprises a“successful student.” One such factor is metacognition, broadly defined as one’s knowledge ofthe learning process, learning preferences, and conditions under which particular learningstrategies are best employed [3]. This knowledge component is combined with other factors,such as a student’s intrinsic interest and motivation to pursue academic interests, the
into the writing of the annotations) could lead to learning. Forexample, the students comments of “my chance to connect, “I’m doubting myself,” and “I don’tknow whether it’s a well written persona” each suggest specific ways in which the writing of theannotation in question might have triggered learning. In this paper, we tackle this link tolearning through theoretical analysis, comparing the types of content involved in writingeffective annotations (the product of our empirical analysis) with the range of ideas that theory Page 13.471.3tells us are important for reflecting from experience and promoting transfer of lessons to new
the course and stopworking prior to the completing R4. These students are also assigned a value of 1. Thus the MoSfor each student starts with a value of 0 that linearly approaches 1 until they complete (or fail tocomplete) the course. This metric addresses the fundamental risk that leaving even small tasks tothe last minute can lead to failure. It does not account for the difference between a studentmethodically progressing through the units and one who completes the majority near the end ofthe semester.Pacing Metric(s) - Pacing metrics discern between early and later procrastination by looking atthe completion dates for intermediary milestones as well as the date a student completes the lastunit. This strategy allows insight into general
about their research ideas, providing feedback on their proposal ideas, andhelping them navigate the NSF funding process. This position came with a certain amount ofpower, as I chose how to spend my allotted portfolio budget. I made the RIEF program a prioritybecause of its commitment to expanding research capacity in the field. I ran peer review panels,made funding decisions based on reviewers’ recommendations, and supported the work offunded RIEF projects through ongoing communication with investigators. Serving as a mentorfor a RIEF project is a natural next step for me now that I have returned to academia.My goals for working with Paul and Deepthi on our RIEF project are as follows:1. Improve and reflect on my mentoring.2. Use our mentoring
by as description of the labincluding a few technical details that are explained in the lectures but not in the body of the lab.This is followed by a description of a trial run through the lab with a group of three students.The results of the trial are assessed based on an assignment given after the first hour of the lab,and a survey given at the end of the class. This is followed by a summary and conclusions.Student OutcomesThe desired student outcomes are as follows: 1. Explain what a control system is and give examples 2. Analyze a control system and identify Plant, Input, Output, Feedback, Setpoint, Controller 3. Design and implement controls including Manual, Dead-band, Proportional, Proportional / integral and PID 4
Colorado in May 2011 and began doctoral work in the Higher Education Student Affairs Leadership program there in fall 2011.Dr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the engineering assessment specialist at the Integrated Teaching and Learning Pro- gram and Laboratory. He holds a BS in psychology from Louisiana State University, and an MS degree in industrial/organizational psychology and PhD degree in counseling psychology, both from the University of Tennessee. Prior to joining the University of Colorado at Boulder, he gained extensive experience in assessment and teamwork in an engineering education context through the development and evaluation of a team facilitation training course