inexpensive than the priorsystem, in particular, it is more multi-disciplinary, providing entirely new educational value. Thesystem allows students to more closely study principles involved in sampling and signalconditioning, as well as the opportunity to study data acquisition software, but without involvingintensive programming. These goals were achieved with an inexpensive acquisition systemalong with two software tools, namely Python and MATLAB.The overall system comprises the experimental apparatus, signal conditioning electronics, a dataacquisition module, and a host computer. The experimental apparatus includes a laser, reflectivefilm, and a position sensitive device (PSD), arranged as in Figure 1. A change in position dy ofthe reflective film
(without doing the calculations) and keep itinteresting?” The solution presented here is, “The addition of hands-on experiments thatreinforce the concepts and examples presented in class.” It is the goal of many teachers to weave hands-on experiences into the traditional lectureformat. It has been shown, that among other benefits, hands-on learning helps studentsremember what they are being taught [2-5]. It was clear (at least to me) that what the “Design ofExperiments” class needed was “EXPERIMENTS!” This sentiment is echoed in a paper byWilliam G. Hunter [1] , a noted statistical text book author. Hunter stated that students get plentyof practice analyzing data through homework, but little or no practice designing a realisticexperiment
from within the Matlab / Simulinkenvironment, and then to implement these designs directly on a hardware platform coupled to theKinect system. Students develop their designs using interconnected Simulink blocks andsubsystems, and the ‘build’ process automatically cross-compiles and downloads the model tothe target for execution. External mode capability can be used to monitor the target hardware asit executes in real time, enabling the user to tune model parameters and log data while theirapplication is running. An example showing how the Kinect can be integrated into a higher levelsystem design is shown as an example.1. IntroductionAdvances in low-cost, high-capability computing and sensing devices offer new opportunities forteaching
to provide a growing economy, strong health and human services, anda secure and safe nation depends upon a vibrant, creative, and diverse engineering and scienceworkforce”. 1 To contribute to technological advancements, engage in global collaboration,solve complex problems, encourage a more socially just profession, and respond to the predictedshortage of American engineers, it is necessary for this nation’s engineering workforce anduniversity student bodies to be more diverse in its racial, gender, and socioeconomic (SES)representation. The lack of representation in SES is the focus of this research.The purpose of this qualitative study was to give low-SES students an opportunity to share theirstories about the influences that prompted them
Tracking of students varies depending upon students classification as a Level 1 LSAMP student (i.e., fully engaged in the program) or Level 2 LSAMP student (i.e., engaged peripherally or minimally in the program) Budget needs fluctuate dependent upon the number of LSAMP-eligible students enrolled at each institutions Variances across campuses in administrative commitment and assessment and evaluation efforts. Varied responses by campuses to evaluation reports and a need to use these reports to inform practice.Opportunities Some opportunities include the following: Creation of a formal, longitudinal mechanism for tracking students throughout the program (activities they participate in
number of qualified professionals entering the engineering profession. Page 25.909.2Introduction The objective of the Committee on Evaluation of Engineering Education leading to the1955 Grinter report was to provide students a choice between scientifically-oriented andpragmatic, hands-on-oriented curricula. Although the majority of engineering faculties wereunable to agree in 1955 with the concept of “bifurcation of engineering curricula”, theCommittee’s objective was achieved 1, 2. The Grinter report coupled with the 1957 Sputniklaunch are seen as a transformational cornerstone prompting U.S. engineering (ENG) curricula toembrace a much
inventory scores another 10 percentage points over lecture alone. In the following paper, we will present a summary of each activity and its implementation, as well as further evidence for the effectiveness of the approach. Introduction Meaningful learning requires that students master concepts, not simply memorize facts. Understanding concepts and the connections among concepts is one of the primary distinctions between experts and novices [1, 2]. Conceptual understanding is also a prerequisite for transfer of classroom learning to new settings [1, 2]. While the importance of conceptual learning is widely recognized, an extensive body of
were analyzed. Using the results of this survey and related literature, this paperaddresses the following issues. 1. What are student perceptions of the impact of course delivery format (on-line or face-to- face) on their time management skills? 2. Do students perceive that there are factors of time management that influence their course performance? 3. How do student perceptions of time management in on-line and face-to-face courses vary among factions of the student population?Analysis of the survey results and implications for on-line delivery of courses are presented.BackgroundBooks, articles, and stories abound that offer advice to people about how to better manage timein order to achieve personal goals and reduce
AC 2012-5551: MANUFACTURING WORKFORCE: REPORT ON NSF-ATE PROJECT PERTAINING TO MECHATRONICS TECHNICIAN DE-VELOPMENTDr. Niaz Latif, Purdue University, Calumet Niaz Latif is the Dean of the School of Technology at Purdue University, Calumet (PUC). He is also the Interim Associate Vice Chancellor of Research and Graduate Studies at PUC. Latif served as an Assistant Dean for Statewide Technology Administration in the College of Technology at Purdue University, West Lafayette, before joining Purdue University, Calumet, on July 1, 2007. He is the Principal Investigator of the 2010 NSF-ATE grant ”Meeting workforce needs of Mechatronics Technicians.”Dr. Mohammad A. Zahraee, Purdue University, Calumet Mohammad A. Zahraee
entrepreneurial mindset.Entrepreneurially minded engineers (EMEs) are characterized as this emergent class of engineersand act as the drivers of U.S. innovation and competitiveness. EMEs have not necessarily starteda new business (although they may have), they are, most often, working in established small- andmedium-sized firms, many work in Fortune 1000 firms [1].The Kern Entrepreneurship Education Network (KEEN), a collection of twenty-one privateengineering schools across the US, in partnership with Target Training International (TTI), aworldwide leader in personal and professional assessments, is undertaking the KEEN – TTIPerformance DNA Assessment Project. Three well-known and vetted assessments are beingused to identify current students’ skills
new multidisciplinary approach, students first take a broad coursebased on the conservation and accounting approach applied to mass, energy, charge andmomentum (EAS211). Chemical engineering students follow this with a course that appliesmass and energy balances to more complex systems of particular interest to chemical engineers(CM220 – Process Analysis). The table below provides a comparison of the sophomore coursesin the old and new curriculum: Table 1 – comparison of multidisciplinary curriculum to traditional curriculum Old Curriculum New Curriculum CM201 Process variables, EAS211 Introduction to
information forthemselves and a parent, birth date, name of high school, etc.), their most recent grades inscience and math courses, and a statement of 100 words or more explaining why the studentwished to participate in Materials Camp. In the future, an additional question will be addedasking how applicants found out about the camp program.By the application deadline of June 1, 38 male and 19 female students from 34 different highschools had applied for Materials Camp. Based on their personal statement, teacherrecommendation and grades, thirty students were selected. Students and parents were notified Page 25.915.2via email, and those selected were
strategy GPMT Development of course Instructional Development of instructional contents and modules by Design model and design of POGIL approaches curriculum Analysis of the outcomes in student learning Assessment and evaluation experiences Figure 1: System approach in instructional designFigure 1 illustrates a system approach to developing an instructional model in green plasticsmanufacturing education. This model we developed draws on analysis of student’s learningoutcomes
and test virtual instrument module to find a rootof the equation f(x) = x – 0.2Sinx – 0.5 in the interval 0 to 1. The results of the module areconsistent with the theoretical calculations. Figure 1 shows the front panel and Figure 2 showsthe diagram panel of this module. Figure 3 shows the Mathscript code and result. Figure 1 – Front Panel of Bisection virtual instruments module Figure 2 – Front Panel of Bisection virtual instruments moduleMathscript m file for Bisection Methodfunction approx_root = bisect ( a, b )% bisect finds an approximate root of the function cosy using bisection Page 25.917.4 fa = a
; Inan,3 and Ulaby et al.4 considers that transmission line effects may besignificant for wire length-to-wavelength ratio as low as 0.01. In this paper, a MATLABdemonstration5 illustrates when a distributed transmission line must be used to model wireinterconnects.Figure 1(a) shows a load RL connected to a source (of voltage vs and source resistance RS) Page 25.918.2through a pair of connecting wires of length l. The voltage across the load, vL, is to be examined Figure 1: (a) Connecting wires between source and load are modeled by a length l of transmission line. (b) Equivalent circuit with input impedance Zin replacing
almostexactly like MatlabTM and MultiSimTM predictions) really does reinforce student learning.The lab procedure consists of four steps: (1) Students set the DSA to measure the open-loopfrequency response of the op-amp over two different frequency ranges. (2) Students thenmeasure the closed-loop frequency response of an inverting amplifier for two different gainsettings. (3) Students measure the output impedance of an inverting amplifier circuit as afunction of frequency. (4) Finally, they compare the Total Harmonic Distortion (THD) at theoutput and differential input, for unloaded and resistive load conditions. Frequency responsemeasurements are compared with theoretical expectations from MatlabTM and with MultiSimTMAC analysis simulations, thereby
, and parsimonious measure of the contextualcompetence of undergraduate engineering students.Introduction The practice of engineering requires more than solving for x. Engineers must be able tosolve real-world engineering problems while also understanding the range of their relevantcontexts. Projects such as the One Laptop per Child program, China’s Three Gorges Dam, andnew ultra skyscrapers illustrate the social, economic, environmental, political, and culturalchallenges of today’s engineering problems. The ABET program accreditation Criteria 3.c, 3.f,3.h, and 3.j promote contextualization of engineering practice [1]. The ABET criteria mandateoutcomes to ensure that engineering graduates cultivate the non-technical skills
919 first year engineering students. Open coding strategy wasused to analyze the patterns of students’ answers to open questions and to record frequencies.ANOVA as well as non-parametric statistic tests were used to identify the differences betweendifferent groups of students from the Likert-scale survey and frequencies from coding open-ended questions. Among all participants, 23 students expressed an interest in MSE as their firstchoice. Forty-five students identified MSE as their second choice. Sixty-eight students wererandomly selected from students who did not express their interest in MSE as a control group forthe qualitative content analysis. The results indicated that: 1) students who chose MSE as their1st or 2nd choice were
, respectively. The test administered was the Modified Purdue SpatialVisualization Test of Rotations with fifteen weeks passing between the pre- and post-tests. Bothtests had the same form to avoid issues pertaining to reliability. In addition, both tests had abalanced design between the experimental and control groups to equally distribute the impact Page 25.922.6effects of testing validity. Students were given 40 minutes to complete the 30 question test.Non-circular and demographic questions were inclusive to the post-test questions. 65 studentswere from the face-to-face sample while 57 students were from the distance education sample.Table 1
industrial and systems engineering and engineering manage- ment and a 2009-10 Gray Faculty Fellow at the University of Alabama, Huntsville. Her research interests are in applying statistical analysis and optimization to supply chain management, transportation man- agement, and engineering education. She holds a B.S. in industrial engineering (Lehigh University), a master’s in business administration (Penn State University), a M.S. in industrial engineering (University of Pittsburgh), and a Ph.D. in industrial engineering (University of Pittsburgh). Address: N149 Technol- ogy Hall, The University of Alabama in Huntsville, Huntsville, AL 35899; Phone: (+1) 256-824-6637; Fax: (+1) 256-824-6733; Email: gillian.nicholls
students who participated in the Bechtel K-5 Educational Excellence Initiative, whichwill be referred to as the treatment group. The second set of data was from elementary studentswho have not participated in the Bechtel K-5 Educational Excellence Initiative, which will bereferred to as the control group. Both the treatment and control consist of students from the sameschool district.Schools. As is reflected in Figure 1 and Figure 2 respectively, there were five schools and 12classrooms in the treatment group, and there were four schools and 11 classrooms in the controlgroup. All elementary schools are located in Adams County District 50. The total sample size forthe treatment group was 160 students, while the total sample size for the control
exists on the long-term effects of participation inPLTW. Tracking of the post-graduate experiences of alumni by PLTW found that they weremuch more likely to pursue majors in STEM fields than a matched group, and a very limitedsample of PLTW students at one institution found that students who participated in PLTWshowed greater persistence in engineering and slightly higher GPAs than students that did not7.However, virtually nothing is known about how university students perceive the benefits ofparticipation in PLTW. This study seeks to address this gap with the following researchquestions: 1. What are the demographics of PLTW students at Purdue University? 2. How do these students perceive their PLTW experiences, and how do these
phase atzero stress, a complete shape recovery is observed upon unloading to austenite. This SMAmaterial behavior is called the pseudoelastic effect12.One drawback of the SMAs is the relatively low actuation frequency of bulk SMA structures(typically <1 Hz) compared with other active materials. This low actuation frequency is due tothe generation of the latent heat of transformation. In order to allow fast phase transformationfrom austenite to martensite, SMAs need to have sufficiently high heat transfer rate to removethe latent heat of transformation. However, bulk SMA structures do not allow for a sufficientlyhigh heat transfer rate for quick release of the latent heat. One possible solution to the problem ofdissipation of heat is to
about their steps. At the same time,none of them offer an opportunity for students to solve the problem completely by themselves;all of them provide the students with partial solutions and ask them to determine some missingvalues, force directions, or calculate the failure point. They also provide feedback whether thestudents’ answer for the missing part is correct or not. None (but Newton’s Pen[1]) evaluate thestudent’s sketch of a FBD. Some of the existing software are discussed below.The Andes physics tutoring system [2] was designed with similar goals to Mechanix. The Andesinterface mimics pen and paper homework while providing extra features like immediatefeedback. Similar to Mechanix, Andes was intended as a drop-in replacement for pen
, Statistics, Systems Engineering andOperations Research. During Fall 2010, the School had a headcount enrollment of 4,287students;1 42% are enrolled at the graduate level.This paper describes the development and implementation of a successful textbook reservesprogram at a major university that targets graduate and upper-level undergraduate students in thetwo largest departments in the Volgenau School of Engineering: Computer Science andElectrical and Computer Engineering.Literature ReviewThe high cost of college textbooks has always been a concern to college students. Recently, thisconcern has grown even higher, and a number of researchers have studied the reasons for hightextbook costs as well as the strategies students use for coping with the
theclassroom drive their cognitive understandings of the engineering process, while the mentalmodels of this engineer/researcher/educator and the engineers in the video show that we perceivethat cognitive understandings of the engineering process drive the social and emotional roles andskills used in that process. This comparison of mental models with the process that professionaldesigners use defines a problem space for future studies that investigate how to incorporateengineering practices into elementary classrooms. Recommendations for engineering curriculumdevelopment and teacher professional development based on the results of this study arepresented.1
critical to academia success, and to explore multiple pathways to careers across differentfields.To allow our URM students from both REACH and AGEP programs to be prepared broadly formultiple career options, our research team developed a series of interactive learning modules thatexpose URM students to a variety of topics that are critical to students’ preparation for futurecareers. Initial interactive learning modules will focus on the following three topics: (1) being amentor and being mentored; (2) leadership and management; and (3) issues of diversity. Thedevelopment of each learning module is guided by supportive teaching and learning strategies inSTEM education, including the How People Learn framework by Bransford, Brown and Cocking(1999)1
research career pathway. This theoretical framework is important because itrecognizes the role of personal agency and personal characteristics in the career developmentprocess. The authors suggested that interventions to increase the number and effectiveness ofresearchers in an academic environment be focused on 1) reducing role conflicts imposed bymultiple environments, 2) providing continuity of training efforts, 3) creating a positive andrewarding mentoring culture, 4) and incorporating and evaluating efforts to increase one’sresearch self-efficacy beliefs.Not only must one be interested in a career pathway and provided with the optimal conditions topursue a career pathway, they must be supported in their work environments to achieve
technologists agree thatsocial media have good potential applications to support learning 1-3. Increasingly, abstractarguments about potential applications of social media are followed up with scholarship thatdocuments specific uses of Web 2.0 tools in education and the impact they have on students.This paper presents the results of an exploratory study that investigated the application of asocial medium – specifically, microblogging – in the large lecture classroom in order to assesswhether microblogging can make participation in the large lecture classroom more comfortablefor students with high communication apprehension. We present original data collected in thecontext of a freshman Technology large-lecture course in which microblogging service