and Development,Colonel, USAF, and even “Chief Skunk” (at the iconic Skunk Works at Lockheed Martin).Leaders from all but one but one of the ten companies participating in this study of innovation incorporations recommended that innovative engineering graduates have high levels of confidenceand/or attributes and behaviors that depend directly on such confidence. It is not enough that aninnovative engineer be competent. He/she must also have the confidence needed to behave andact in the following ways: Confidence-dependent Behavior/Attribute Mentioned by innovation leaders at: 1. Question the status quo enough to consider DuPont, IBM, Lockheed Martin, Pankow disruptive solutions
an introductory course for mechanical engineering majors.IntroductionEvery college of Engineering faces the challenge of recruiting and retaining students in theirmajors. 1 Midshipmen at the United States Naval Academy (USNA) face additional constraints,opportunities, and challenges in the form of a strict requirement to complete their course work infour years as well as myriad other demands on their time and attention.The Naval Academy uses an application process to select 2,500 highly qualified rising highschool seniors to participate in Naval Academy Summer Seminar (NASS) for a week-longimmersion in the unique requirements and academic opportunities available to our students. Theirtime on the Yard includes athletic, academic, leadership
for the globalworkforce is a national priority in the U.S.1 In order to address this need, educational institutionshave made great efforts to increase the recruitment and retention of students in engineering andimprove students’ professional skills through engagement in educational purposeful activities.Involvement in out of class activity has been believed as an effective way of promoting students’cognitive, affective, and career development in higher education.2, 3 The Final Report for theCenter for the Advancement of Engineering Education posits that research on student experienceis fundamental to informing the evolution of engineering education.4 College impact researchsuggests that focusing on what students do during college, both inside
phrases in the curricula referring to data or evidence withTAP’s data, and warrants included any reasoning beyond data (e.g., explanation, justification,rationale). The results section of this paper reflects both of these types of argumentationlanguage, the terms of TAP and those used by the teachers.Additionally, this work was guided by the Framework for Implementing Quality K-12Engineering Education31. This framework identifies nine key indicators that define thecharacteristics of K-12 engineering. Figure 1 provides a list of the key indicators and a shortdescription of each. When an element of argumentation was identified to be in an engineering
Jacobs Excellence in Education Award, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distinguished Award for Excellence in the cate- gory Inspiration through Leadership. Moreover, he is a recipient of 2014-2015 University Distinguished Teaching Award at NYU. In 2004, he was selected for a three-year term as a Senior Faculty Fellow of NYU-SoE’s Othmer Institute for Interdisciplinary Studies. His scholarly activities have included 3 edited books, 7 chapters in edited books, 1 book review, 55 journal articles, and 109 conference papers. He has mentored 1 B.S., 16 M.S., and 4 Ph.D. thesis students; 31 undergraduate research students and 11 under- graduate senior design project teams
interest in pursuing in college and as a career. But there is adichotomy - mathematics is a precise science, and any problem solving engineering paradigmprovides an optimal (or near optimal) solution. Anyone with an engineering perspective learns toappreciate this and continue to combine the two skills advantageously. However, not all studentssignificantly develop this skill when learning math in their curriculum as they may not see theconnection between the theoretical concepts in the subject and the practical problems associatedwith STEM fields. This lack of a connection could negatively affect the students’ performanceand interest in STEM. Our initial focus was to develop the robot as a tool for problem solving 1-3.We also made sure that it is
problem solving.1. IntroductionProblem solving is seen as a desirable skill for recent graduates1, and also for students ingeneral2–5. This paper analyses problem solving strategies of first year students in a newlydeveloped program. The program has been created to focus on developing students for a neweconomic and social reality, in which higher order thinking skills are the driving force. Higherorder skills, such as analysis, evaluation, and creation, are extremely important for criticalthinking and unstructured problem solving. Or-Bach6 indicates “…the retrieval and handling ofinformation; communication and presentation; planning and problem solving; and socialdevelopment and interaction…” (p. 17) are abilities much in demand by the general
. Page 26.1256.1 c American Society for Engineering Education, 2015 Problematizing Best Practices for Pairing in K-12 Student Design TeamsIntroductionResearch on group work in STEM education has documented that in some cases, students’relative expertise with respect to other group members can impact student participation in thediscipline: expert-like students can help novice-like students gain conceptual understanding,1 thesuccess of pairings depends on the complexity of the task at hand,2 and group dynamics and rolesimpact local equitable access to disciplinary knowledge and identities.3 Within engineeringeducation, Tonso highlights how roles and gender dynamics within
theirexperiences in engineering.Figure 1: Model of Achievement Goal Theory41.Figure 1 presents AGT as conceptualized by Wentzel and Wigfield41. The two elements of Page 26.1291.6mastery and performance are bridged to create a framework consisting of four overallachievement goals: mastery-approach (MAp), mastery-avoidance (MAv), performance-approach (PAp), and performance-avoidance (PAv)41. When a MAp goal is adopted, individualstry to build upon their competence by striving to master the skill. Approach and avoidance arefundamental distinctions applied to various types of goals. In educational psychology, thecommon goal used is achievement goal, which
Instructor Implements Project-Based Learning 1. Introduction & Objectives In the Faculty of Engineering at the University of Manitoba, Canada, a novice instructor with more than a decade of industry experience in consulting engineering practice re-designed a third-year structural engineering design course around a project- based instructional method. The impetus for changing the course was twofold: his own industry experience that drove his desire to educate students with the engineering knowledge and skills, and foster in them the engineering mind-set to succeed in industry; as well as the fact that the structural course that he was charged with teaching had
environment [1-9]. While theseoutcomes and their importance are widely articulated, there is less discussion about themechanisms by which these benefits actually develop. In other words, because the positiveoutcomes of a liberal education are often observed and articulated in retrospect, the pedagogicalconstructs and cognitive models that scaffold these later behaviours are often unexplored. Amore comprehensive understanding of how and why these skills develop can be gained byobserving the student behaviours and instructional practices that govern some studentexperiences in the liberal arts.Representing Science on Stage, a theatre elective for engineers at the University of Torontoprovides one space in which these interactions can be observed. In
the currentpaper.We embedded four first-year GTAs in a senior-level course for secondary mathematics educationmajors and used classroom mathematics case studies as a central component of the course. In thiscontext, we seek to answer these questions: 1. To what extent, and in what manner, did the nature of the graduate students’ comments during case analysis change over time? 2. To what extent, and in what manner, did the graduate students’ perceptions of teaching and of themselves as teachers shift over time? 3. How did the graduate participants perform as first-time teachers of record, compared to first-time teachers of record who were not embedded in the secondary education course?Two of our research questions are
occur. Higher alcohol or drug use might be potentialbehavioral outcomes of stress8. In this project, the Karasek stress model was used to describe how stressmight be generated in a Lean organization. Figure1 shows the stress implications as a result of workplacedemands and employee autonomy. Figure 1: Karasek’s Demand-Control Model of Job Stress13.In Karasek’s model, workplace stress is a function of how demanding a person’s job is and how muchcontrol, discretion, authority, or decision latitude the person has over his or her own responsibilities. Thiscreates passive jobs, active jobs, jobs with a lower stress level, and jobs with a higher stress level. Thefirst dimension, representing job demands, can be seen as the
coherentlyconceptualize and integrate research quality considerations in qualitative and mixed-methodsprojects and convey the trustworthiness and value of this type of work to others.In this paper we build on a prior parsimonious framework for interpretive research quality thatwas recently developed by Walther et al. 1.This framework, which is described in more detail inthe Theoretical Framework section below, offers a process view on research quality that spansthe entire research project (represented as the two phases of Making Data and Handling Data)and proposes six quality constructs (Theoretical, Procedural, Communicative, and PragmaticValidation and Process Reliability) to facilitate the exploration of quality issues and theapplication of quality strategies
integratedsystem (Figure 1), SiLaRR allows a user without programming skills can install a robotics orelectronic laboratory by pressing several "Ok" buttons and connecting hardware used an ArduinoUNO Figure 1. The architecture of SiLaRR system covers all the steps needed to deploy a laboratory easily and quickly. Page 26.1771.5 - Guided installation mechanism: The system has integrated an Installation Wizard will act as a path, asking you different questions and showing you screens that allow you to configure items such as database or access to laboratory. This mechanism installed on the PC
million for the USDA to support Catalyze Breakthroughs competitive bioenergy research for National Priorities ASEE /NSF Corporate Research Postdoctoral Fellowship for Engineers § 1 year research in corporate setting § 40 fellows § Shared stipend support § Corporate mentor § Entrepreneurship training Source: aseensfip.asee.org University of Utah Technology Commercialization • Univ. of Utah #2 in Startups in 2007 and 2008 • 35 College of Engineering Startups in 3 years Source: Richard Brown, Dean of Engineering, University of Utah Carnegie Mellon University
institution, what programs had you heard of?” Inresponse to this question, students ranked the entrepreneurship LLC fifth (n = 141) among thetop ten programs identified, Table 1. Table 1 Response to freshman questionnaire: “Prior to coming to our institution, what programs had you heard of?To amplify our in-person marketing effort, we plan to enlist current program participants asguides for tours with prospective students and parents. This may increase the eventual numberof applications if more students join our institution specifically because we have this program.The freshman survey sought to address the issue of program attractiveness with the question,“Which of the following programs had an impact on your decision
seeking careers in energy-related fields. In the Spring of 2015, we conducted a survey of 2nd year Electrical and ComputerEngineering students through our Fundamentals of Electrical Engineering courses to assessstudent interest in a laboratory class devoted to an energy-related topic.1 The results indicatedthat 80% were interested in learning about energy efficient systems design and would either be"very likely" or "absolutely certain" to take a laboratory course that illustrated how such systemsare designed and analyzed.Switching voltage regulators are at the heart of nearly all alternate energy system designs thatinvolve electrical machines and devices, thus motivating an introduction to the techniquesinvolved in realizing such devices; the
capacity in engineering institutions in Afghanistan.1. IntroductionIt is well known that educational institutions, like other institutions in war-affected countries,will be devastated by long wars. Rebuilding the countries’ infrastructure requires resources interms of finance as well as human resources. Within those human resources, well experiencedengineers and technicians are essential for vital sectors such as energy, transportation,telecommunication, agriculture, mining and construction.Afghanistan is regrettably one of those countries which have been affected by wars for nearlyfour decades. However, after the creation of the new government with the assistance from theinternational community in 2001, many public and private engineering
. in Bioengineering and Ph.D. in Engineer- ing and Science Education from Clemson University. c American Society for Engineering Education, 2016 CAREER: Informing Instructional Practice through the Study of Students’ Future Time Perspectives Lisa Benson1, Catherine McGough1, Justine Chasmar1 and Adam Kirn2 1 Department of Engineering and Science Education, Clemson University 2 Colleges of Engineering and Education, University of Nevada - RenoAbstractThis research seeks to help educators understand factors that contribute to engineering students’motivation and the relationship between those factors and their problem
picture of success in collaboration.21This paper provides an overview of the different styles of industry-university collaborativerelationships. Future work will include greater study of these relationships as well as the result ofthese programs on the student as they enter and navigate industrial careers.MethodsInformation on different forms of industry-academia collaboration was gathered from severalsources. These were: 1. Published literature on industry-academia collaborations 2. University websites 3. Websites for multi-university institutesWhile the primary focus for this paper was on industry-academia collaboration within the UnitedStates, much of the background literature originated outside of the United States. The
student organizations, perceptions of engineering, commitment to major,confidence in academic ability in engineering-preparation and engineering courses,stereotyping/harassment, experiences of transfer students, and demographic questions. Theinstrument is described in depth in Litzler and Young, 2012 20. In 2015, researchers for the current study obtained the most recent survey instrument thatwas used for the 2012 multi-site PACE data collection by the University of Washington.Changes made by the lead PACE team since 2008 were limited to adding several demographicquestions and the addition of items intended to more completely measure commitment to major.Researchers for the current study made the following additional minor changes: (1
identify three objectives of Hands-Oninstruction, 1) to apply instrumentation to make measurements of physical quantities, 2)to identify limitations of models to predict of real-world behavior, and 3) to develop anexperimental approach to characterize and explain the world. We have consulted withexperts to develop a list of common misconceptions students display in laboratoryinstruction. A unique feature in testing Hands-On concepts is that laboratory skills areinextricably tied to analytical concepts and therefore both analytical and hands-onconcepts have to be tested in order to distinguish the root cause of themisunderstanding. Based on these common misconceptions, test questions are beingdeveloped and data are being collected on their
. He is the author of numerous research and pedagogical articles in his areas of expertise.Prof. Sanjeev Arora, Fort Valley State University Dr. Arora holds a B.Sc. (Honors) and M.Sc. degree in Physics from University of Delhi, India, and a M.S. and Ph.D. degree in Physics from University of Delaware. Dr. Arora’s research interest is experimental atomic physics and he is well-versed in the use of the van de Graaff accelerator, scalars, MCAs, and other physics instrumentation. He has been instrumental in acquiring, through various grants, computers, and software for the physics laboratory at FVSU. Some of his funded grant proposals are as follows: 1) Establishing a Nuclear Science and Engineering Minor at Fort Valley
this course or the Biochemical Engineering course in order to receive their degree. Overthe last few years, there has been an increase in the number of seniors taking this class over theBiochemical Engineering course with nearly seventy students in the latest semester. In the pastdecade, undergraduate polymer processing courses have emerged across multiple engineeringdisciplines worldwide.1-3 Within these courses, very little development in promoting computersimulations have been discussed. Moreover, this work shows that students can benefit bycombining computational tools with hands-on laboratory exercises and that existing courses canreadily implement the strategies utilized in the Composite Materials Processing course.The class consists of
(IoT), the development of remote testbeds aregaining momentum with an intention to use them for teaching and for laboratory activities.Remote testbeds allow one to perform experiments on a real hardware over the Internet from aremote location. There are a number of software packages used in the design and developmentof remote testbeds. This paper will describe the use of Python for such a development. Todemonstrate Python’s effectiveness, the paper will describe two case studies. One of them is aremote vacuum cleaner and the other is an embedded processor system with remoteprogramming capability.1. IntroductionIt is vital to provide laboratory activities to maximize learning in STEM disciplines.Traditionally, students perform experiments
or leaveengineering altogether before they have taken even one engineering course. Students with fewerhigh school educational opportunities, such as students of color, disabled students, or lowsocioeconomic status students, in particular, are thwarted by the calculus sequence 1. Many aredoomed before they even begin, since the timing of engineering courses assumes that all studentsare entering college “calculus ready”.Given the barriers that the calculus sequence poses to engineering retention, we must criticallyexamine the rationale of faculty for requiring the calculus sequence. Why do engineering facultyrequire these courses? What do engineering faculty hope that their students will gain from thecalculus sequence? During the authors
existing engineering programs, we identified five key points ofdistinction for the program:Entrepreneurial Graduates. Despite consistent demand from industry for graduates withbetter business skills, there is no Australian Engineering School that makes this their key focus.CSU Engineering is housed within the Faculty of Business, and one of the research strengthsof the Faculty is entrepreneurship. This allows these skills to be made part of the core businessof the degree, rather than an add-on elective, or projects serviced by a central university unit.4 x 1 year work placements. A key driver of our program was to help solve a workforce needin regional Australia. Many engineering organisations are already employing cadet engineerson an ad hoc
mode of instruction has enjoyed significant press lately (e.g. Canino1, Swartz et al.2,Lape and Levy3). At least some of these studies were intended to compare, directly, the invertedmode with the conventional mode of course material delivery. In other words, attempts weremade to keep as much of the course experiences the same, while only inverting the mode ofdelivery. Results have varied somewhat, but many who have tried this mode have discovered: 1. Students like it; 2. Students do not perform significantly better or worse than in conventionally taught courses.In perhaps oversimplified terms, the only reason to invert a course based on the results of thesedirect comparisons appears to be because students like the inverted
, based on a 10-hr day and 50-hr week.To compare their priorities against the company’s collective representation of a successfulproject, they were also asked to rate a “perfect” job, one that would be most productive andenjoyable in their opinion. The overall goal of this exercise was to initiate discussion about howsuperintendents’ time is spent compared to what they prioritized. In the end, twenty surveyresponses were collected and analyzed.Figure 1 shows a comparison of the actual projects to the perfect project, showing the minimum,average and maximum of all twenty results. Consider that 10% is equivalent to an hourassuming a 10-hr workday. The minimums are generally 0 to 5% (less than ½-hr per day) andthe maximums vary widely. Highlights