of Technology Transfer, 31(3), 367-375.Chubin, D. E., May, G. S., & Babco, E. L. (2005). Diversifying the engineering workforce. Journal of Engineering Education, 94(1), 73-86.Fussell, S. (2016). The alarming downsides to tech industry diversity reports. Retrieved from http://gizmodo.com/the-alarming-downsides-to-tech-industry-diversity- repor-1789797486Maranto, C. L., & Griffin, A. E. C. (2011). The antecedents of a ‘chilly climate’ for women faculty in higher education. human relations, 64(2), 139-159.McCandless, D. (2016). Diversity in tech. Retrieved from http://www.informationisbeautiful.net/visualizations/diversity-in-tech/McGee, E. O., Robinson, W. H., Bentley, L. C., & Houston II
were surveyed at the end of the first week of classes and again at the endof the semester. Surveys were developed using items from Dweck’s Implicit Theories ofIntelligence Scale, which has shown good internal consistency, α = .88 and test-retest reliability,α =.79 (Dweck, Chiu & Hong, 1995). We also used items from Pintrich’s Motivated Strategiesfor Learning Questionnaire, which has also shown good internal consistency, α = .89 (Pintrich,Smith, Garcia, & Mckeachie, 1993). The scales were adjusted to use a 7-point Likert scale (1 =not at all true of me to 7 = very true of me.). The number of items per scale were reduced to notoverburden participants. The students in the redesigned sections also completed a memo exercisewith open-ended
followingprocedure: 1. Review paper title. If obvious (e.g.: Understanding the Benefits of the Flipped Classroom in the Context of Sustainable Engineering) then create new code or fit into existing codes 2. If practice was not obvious from title move on to abstract and look for practices to code. 3. If practice was not obvious from abstract, open full document and scan article to determine practice. Code as above. 4. If no educational practice was evident after steps 1-3 leave code blank.Using the list of open codes, a process of axial coding11 was applied to categorize the differentopen codes. Categories were chosen based on the aspect of the practice (e.g. overall courseformat, specific technique
-solving, engage in discussion, and most importantly allow the instructor to workexample problems, answer questions, and/or introduce real world applications. A class can befully flipped, with all lecture-type content delivered outside of class, or a hybrid flipped, withpart of the lecture content delivered outside of class and part within class time [1]-[6].The revision of the junior-level Computer Aided Design and Manufacturing MFGE3316 wasdriven by three forces: ABET accreditation, keeping current on an ever-changing softwareprogram, and fostering classroom discussion. The impetus for researching a revision of thepedagogy for teaching this class was driven by an ABET outcomes annual review meeting, atwhich the consensus opinion was that the
dynamic view of how aFYE team changes in response to overarching course structures.Current Results and Discussion Student perceptions from feedback The student feedback (N=893 complete) consisted of traditional surveys of satisfactionwith the course, teacher competency, and chances for open response. So far, with N=80 of theessay responses fully coded and a preliminary coding structure for the others in development, thefollowing themes emerged: 1. Students are hyper-aware of circumstances of the class. Students had an implicit and explicit awareness of the course’s effect on the college and the greater context at the university itself. While no students indicated (so far in the analysis) the new program
College of Engineering and Technology for the Spring Semester 2017. c American Society for Engineering Education, 2017 Work in Progress: The Impact of a Self-Guided Assessment Tool on Success and Retention of At-Risk StudentsAbstractThis work-in-progress paper will describe an online self-guided goal-setting tool designed tohelp students retaking courses without a significant increase in advisor workload. The aim is toreduce the number of students requiring a third attempt of a course, thereby decreasing time tograduation and increasing retention, as emerging research on the “murky middle” has shown thatattrition is driven by the number of failed courses rather than overall decline in GPA [1
learning. The purpose of this paper aims to sustain a shiftin faculty beliefs and classroom practice towards student-centeredness whereby facilitatingprofessional development workshops with pairs of faculty members from multiple engineeringdisciplines.MethodsThis project is one in which assesses participants throughout multiple university semesters foridentification of trends and sustained gain for each faculty. Cohort 1 participants consisted of 3assistant professors, 2 associate professors, 1 professor, and 2 professors of practice. The completeproject timeline is displayed in Figure 11. During the first year of this project, Cohort 1, Tier 1Disciplinary LeaderPairs (DLPs) weretrained by JTFDproject faculty during atwo-semester program.The
learning, civic engagement and community. Laura holds a PhD in Sociology from the University of Illinois at Urbana-Champaign. c American Society for Engineering Education, 2017 WIP: The Impact of Project Based Service Learning on Students' Professional Identities and Career Readiness 1. Introduction Project based service-learning (PBSL), as an innovative pedagogy and strategy, has beenintegrated into engineering education through curricular, co-curricular and extra-curricularactivities in many universities to improve engineering education with many favorable impacts onstudents [1-10]. There is evidence that PBSL has a positive influence on student learningoutcomes, as well as on an
have a face-to-facecomponent as well as an online self-paced component using ALEKS R (Assessment and LEarningin Knowledge Spaces).Self-paced component: ALEKS RALEKS R is an online assessment and learning system that individualizes learning paths usinga proprietary web of conditional probabilities for topic acquisition 1 . ALEKS R includes contentinformation, practice problems, and integrated learning resources 1 . Each student takes an InitialKnowledge Check (IKC) in order for ALEKS R to determine what the student already knows andwhere to start the student’s individual path.ALEKS R can be configured in many ways to meet an institution’s specific instructional designneeds. At Clemson University the course content, ranging from adding fractions
proficiency from pre-production to advanced fluency and different teaching techniques work best at each level. Thisknowledge was translated and then applied to teaching a college-level, introductory computerprogramming class. Table 1 summarizes the levels of proficiency and then presents teachingstrategies applied at each level 18.Table 1A Comparison of Non-SLA-based and SLA-based Teaching Techniques Preproduction Early Speech Intermediate Advanced (minimal Production Emergence Fluency (very Fluency compre- (limited (increased good compre- hension) compre- compre- hension
thepreliminary item analysis results are reported for the multiple-choice portion of the assessment.The Rasch model11,12 was adopted as the framework for evaluating the psychometric propertiesof the modified ECA. The Rasch model is commonly applied in constructing and evaluatingattitudinal measures13,14,15 and content tests in STEM9 and provides information psychometricproperties that Classical Test Theory approaches lack16. Further, the Rasch model is not sampledependent like Classical Test Theory approaches16. The following research questions were themain focus of this study with questions one through four addressed in this paper and datacurrently being collected and analyzed to address questions five and six. 1. What support is there for the
in formal ways into engineering education. Many widely publicized failuresof complex engineering systems can be traced back to lapses in judgment on either ethical orsocietal impact axes, including the Volkswagen Diesel Engine scandal,1 the BP Gulf Oil Spill,2the Challenger3 and Columbia4 space shuttle disasters, and more recently, the Flint, MichiganWater Crisis.5In this work, the authors seek to explore the application of game-based and game-inspiredlearning to engineering ethics education. Giving students the opportunity during their educationto recognize the wider social and ethical impacts of the profession - through multimediasimulation, role-playing games, case-based learning, and review of other, fictionalized cases -can
for illumination and a camera with atelecentric lens to visualize the thermal boundary layer that forms around a heated copper tubeplaced in a tank containing cold still water. The video clearly shows the initial diffusive growthof the boundary layer and the subsequent onset of buoyant convection. Then when flow isinitiated, a thinning of the boundary layer on the upstream side of the cylinder is clearly visible.After showing video clips in two sections of an Introduction to Transport Phenomena course,student feedback was very positive; they found it interesting and helpful. We believe this visualrepresentation aids in learning and can actively engage students in the learning process. 1. IntroductionConcepts related to thermal boundary
process simulators.The information flow to and from the repository is shown in Figure 1. Problems can be developed basedon examples and textbook problems or screencasts such as LearnChemE16. The Governing Board willencourage problem contribution from a diverse group, including student groups, working professionals,and educators including teaching assistants. This encouragement could take the form of problem contestsor a “problem of the week” where a specific concept would be featured and working professionals couldcontribute problems from their workplace that test that concept.Figure 1 Overview of the system. The structure of the system hosted at www.ExcelProblemPedia.org is representedabove. This homework repository is crowd sourced and is
presenter as wellas with other student participants, etc.) Two key valuable features of the sessions were to targetthe quality of the delivery of the workshop and the potential acquisition of new concepts andskills acquired by the workshop participants. Thus, the research questions addressed include: 1. Were the individual invited presentations and professional development workshops presentations of highest quality and effectiveness as reported by the program participants and conference organizers, thus meeting organizers’ expectations? 2. Were individual conference participants able to report improvements on content knowledge, concepts, dispositions, and skills from each of the sessions and workshop
technology. The idea of rapid prototyping came to be from the need for quicker andcost-efficient design testing for product development within the manufacturing industry. It wasn’tuntil 2009, however, that 3D printers became commercially available. By 2012 several3D printer companies began to offer their products on the market either as an open or licensedsource [1].3D printing is also commonly known as additive manufacturing. There are couple of processingmethods for 3D printing, the printers that we currently are using would be Fused DepositionMaterial, trademarked by Stratasys (FDM); also commonly known as Fused Filament Fabrication,by RepRap (FFF). It consists of extruding thin layers of melted material, mostly plastic, onto alevel building
runoff, the top layer of the soil be removed and new soil added.Davis et al. contends the following with regard to rain garden soil design. “Selection of asuitable soil mix and depth includes consideration of a number of different objectives andparameters which include the following: 1. Ability to support and sustain the selected vegetation 2. Ability to dewater the ponded water in 24 Hr. 3. Ability to remove the projected hydrologic and pollutant load; 4. Life cycle and durability of the media; and 5. Media cost.”With this in mind the following amendments should be made to the rain garden. The top 3-4inches of soil must be amended with a mixture of peat moss and top soil and rototilled togetherto ensure that the new plants
perceptionsbased on their social demographic. To investigate this hypothesis, our research team collaboratedwith two university sponsored summer programs that taught engineering to young students. Before participating in these summer programs, 85 students were interviewed and asked“What do you think mechanical engineers do?” Participant responses and organized by thedemographic data of the students. Student responses fell into one of the following six categories:(1) Mechanical/Moving Things, (2) Computers/Electrical Technology, (3) Civil Engineering, (4)Manufacturing/Building, (5) "More than Engineering," and (6) I Don’t know. Results indicatethat across races and genders, students interviewed primarily associate mechanical engineeringwith
arecapable of being produced by direct 3D printing, and (ii) a remarkable dispersion of short carbonfibers in the polymer matrix, which displays relatively defect-free interfacial bonding. Through a10-week theoretically grounded, hands on undergraduate research experience, the communitycollege students were able to deepen their understanding of the mechanics and manufacturing ofcomposite materials, starting from scratch and against a steep learning curve, via meaningfulexperimentations, relentless trouble-shooting, and constant consultation with suppliers andindustry experts.1. IntroductionFiber-reinforced composite materials have gained popularity as a structural members in aerospace,automotive, construction, transportation, biomedical
the types of student projects observed in these lower-level courses beforeand after the redesign. Additional questions in the survey probed students’ perceived usefulnessof ME 100L in their entire engineering curriculum. The survey results show that students’ whotook the redesigned version of ME 100L have a much higher opinion of the course compared tothose who took the older version of ME 100L.1 BackgroundThis paper presents a retrospective assessment on a recent effort to redesign a freshman-levelmechanical engineering orientation course named ME 100L (Mechanical EngineeringOrientation) at California State Polytechnic University, Pomona (Cal Poly Pomona). Theredesign effort completely overhauled ME 100L in Fall 2014 as described in Section
processes, wherethousands of threads are executed in parallel by their high computational power andprogrammability 1. The power consumption of the processor increases drastically in order toaccommodate a high throughput demands 2. Thus, reducing the consumption of power is acrucial challenge for next-generation GPGPU systems 3. Research has shown that the GPGPUwith DRAM as global memory expends around 20%-40% of the aggregate power consumptionof GPGPU 4. And leakage power makes up to 70% of total memory power utilization 3.Currently the DRAM based GPGPU’s adopt many techniques to reduce the consumption ofpower and to increase the computational power, but it reduces the bandwidth 11. Thus, there is atrade of between bandwidth and consumption of
. This technology came about as a result of developments in a variety ofdifferent technology sectors. The seven main manufacturing steps of generation of an additivemanufacturing process2 are described below:1. Every AM process starts using any professional CAD solid model, with the obligation that the output must be a 3D solid or surface drawing. This project used reverse engineering equipment (laser scanning).2. AM machines accept the STL file format, which every CAD system can output such a file format. This file describes the external closed surfaces of the original CAD model and forms the basis for calculation of the slices.3. Sometimes, when the STL file is applied in the AM machine it may need some general manipulation of the
CAREER (2014) award, finalist of WTN (Energy) Award (2014) sponsored by FORTUNE and TIME and VEECO’s 2010 best nanotechnology innovation award c American Society for Engineering Education, 2017 An Exploration of Students’ Needs for an App Based Interactive Nanotechnology Education Si Jung Kim1*, Yi Liu2, Zenan Yu2, Hyoung Cho3, Lei Zhai2, Jayan Thomas2*1 Howard R. Hughes College of Engineering, University of Nevada Las Vegas, Las Vegas, Nevada 891542 NanoScience Technology Center, University of Central Florida, Orlando, Florida 328263 Dept. of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, Florida 32816E-mail: Si.Kim
between our digital course offerings underscore known problems with knowledgeretention by students.Our New Digital Design ParadigmFigure 1(a) shows our previous approach to modeling digital circuits, where we classify alldigital circuit signals as either inputs or outputs. Figure 1(b) and Figure 1(c) shows how we nowseparate digital modules into “controlled circuits” and “controller circuits”. Note in Figure 1(b)and Figure 1(c) that the control outputs of the controller circuit provide the control inputs to thecontrolled circuit. Similarly, the status outputs of the controlled circuit form the status inputs ofthe controller circuit. Standard digital circuits such as registers and multiplexors (MUXes) areexamples of controlled circuits while FSMs
Reactors: Examples in Air Pollutant Formation and Control Jean M. Andino1,2 and Thonya Otsengue1 1 Chemical Engineering; 2Civil, Environmental, and Sustainable Engineering Arizona State University, Tempe AZ 85287-6106Abstract Environmental and chemical engineering students are introduced to topics in chemicalkinetics, mechanisms, and reactors in many of their fundamental engineering classes. The use ofexample problems that enable students to better understand product formation from multi-stepreactions, as well as how the choice of a reactor (e.g. a batch versus a flowing reactor) influencesthe predicted product yields are important. Computational tools
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20705Broadening and deepening engineering students’ perspectives on moralityand ethicsDr. Jason Matteson, Northern Arizona UniversityMr. David M Richter, Northern Arizona University c American Society for Engineering Education, 2017 Broadening and Deepening Engineering Students’ Perspectives on Morality and Ethics Jason Matteson1 and David M. Richter2 1 Philosophy and 2Mechanical Engineering
efficiently, and working as teams in a competitive in-class environment. Theevaluation method is a function of accuracy and speed. The grades from the test reflect theparticipants’ knowledge on the content, their ability in team working and their skills for fastinvestigation. The results are discussed for three separate electrical engineering courses. Theproposed method added some enjoyment to the class and reduced the stress of the quiz. Becauseof its completive nature, it discourages possible cheating.Class work assessmentAssessment is one of the three major tasks of all educators [1]. The other two are “Motivation”and “Education”. The classical assessment is based on grading the knowledge, indifferent of thespeed. Considering the time given for a
receiving the material via the Internetvs. live in-person (whereas the present paper examines when both on-campus and off-campusstudents receive the course via online delivery). In a study similar to that undertaken in thispaper, Stack observed that the academic performance of 64 online and traditional students wasthe same in an online criminology course.9Present StudyThis paper investigates student performance in multiple offerings of two different senior-levelengineering technical electives taught by the same instructor: 1. EEE 460 Nuclear Power Engineering, and 2. EEE 463 Electrical Power Plants.In 2015, the first fully online versions of these three-semester-hour courses were offered. Theonline lectures are produced in a recording studio
familiar with. However, F2F instruction is not the most effective teaching strategies forengaging student learning (2014)1. This is because students learn from a variety of learning-styles based on how they receive and process information. Since the 1970’s research havelooked at various ways students learn and there are many models that can be used. To addressthe learning needs of engineering students Felder and Silverman (1988 and 1993)6,73 developed alearning style model (refer to Table 1).Table 1- Learning styles and definitions Category Preferred Learning Style Student Type Perception Sensory Concrete Thinkers, Practical, Oriented towards facts and
Design and Development II (alpha prototyping of a blood glucose meter), Biomedical Product Design and Develop- ment III (alpha, beta, and gamma prototyping of student designed projects), a course in biomedical ethics, and oversees an off-site undergraduate clinical experience. c American Society for Engineering Education, 2017 Curiosity and Connections (Entrepreneurial Mindset) in BME Sophomore DesignIntroductionA contemporary approach to meeting the educational needs of students focused primarily on jobprospects can potentially be enhanced by seeking to instill the entrepreneurial mindset.1 TheKern Foundation defines students as having the entrepreneurial mindset