Nursing faculty at FGCU and Duke University collaborated todevelop a high school program that introduced STEM topics in health care in a setting thatstudents may not have otherwise considered or experienced as a teenager. Faculty at FGCUwere awarded a four-year grant from Global Public Service Academy (GPSA), to teach elementsof nursing and engineering to high school students from the United States in a setting thatprovided a unique cultural experience for the student. The program, which took place in thechosen community of Calhuitz, Guatemala, had two over-arching objectives: (1) to broaden highschool students exposure not only to traditional health care careers in medicine, but also to theintegration of health care in the sciences, engineering
“enduringunderstandings” that learners should adopt from any learning experience 1 . This step is thenfollowed by identifying ways of student learning attainment and appropriate mechanisms thatwill allow conveying concepts of these kinds.The purpose of this research study is to explore the development of a quality curriculum in high-performance CG (HPCG) education coupled with data describing how students in such coursesperceived the content, assessment, and pedagogy they experienced. We utilized Wiggins andMcTighe’s backward design (1997) 1 as a framework for designing this study. Their backwarddesign process (p.9) is composed of three main stages: (a) identifying the desired learningoutcomes - the content of the lesson, (b) determining the acceptable evidence
asoftware solution to the same algorithm. An image rotation algorithm was chosen for tworeasons; the first being that the results can initially be measured qualitatively by observation. Abigger reason for choosing image rotation is that it is an application that students are familiarwith. They are exposed to image rotation daily on their phones and mp3 players, but have neverconsidered the processing behind it prior to starting this lab.Like all lab projects, this lab starts with an introduction to the theory behind the exercise. Theequation for rotating an image about its center is given in Figure 1, where Xsource and Ysource is thepixel location in the original image, Xdest and Ydest is the corresponding pixel locations in therotated image and
learning and the use of concept maps for teaching. We provide our“common concept map,” we detail several ways in which we’ve used the heuristic, and finallydescribe preliminary results assessing its efficacy.Index Terms – Concept Map, Heuristic, Mechanics of Materials, Mind Map, Solid Mechanics,Strength of Materials, Undergraduate Mechanics.Introduction Mechanics of Materials is widely considered “difficult” by students. Many educators overthe past two decades have attempted to improve Mechanics of Materials learning throughendeavors such as the following: (a) development of physical demonstration models or video forclassroom use,1-2 (b) development of computer programs to assist, encourage and facilitateindependent learning by students,3-7 (c
data fields for both the sponsoring agency reporting purposes and thesuperior camp execution and satisfaction such as a preferred project ranking. The information onresearch topics, camp schedule and application was also made available to public on the campwebsite.Interested high school students submitted a hard copy of the application package including theapplication forms, his/her transcript, a school attendance record, and an educational goalstatement. Applications were evaluated and ranked by the summer camp leadership team (Dr.Muhittin Yilmaz, Dr. Jianhong Ren, Dr. Carlos Garcia, Dr. David Ramirez, Sheryl Custer) interms of the ESF camp selection criteria as described in Table 1. Table 1. The ESF Camp Student
. 1. IntroductionOur daily life is closely connected to communication devices such as iPods, smart phones,Netbooks, laptops, etc., only to name a few. The rapidly changing modern world has drivenmany people to base their social agendas on communication devices. These devices are soubiquitous that is getting harder and harder to even imagine our lives without communicationdevices. Hence, as a communication systems engineer/technologist it is essential to have anunderstanding of communication systems’ basic concepts and principles. To provide thisunderstanding in the classroom, theoretical concepts are introduced in the typical communicationsystems class. Among the various topics, it is essential to learn modulation and demodulation ofanalog
also stimulate further long-term interest in ECE andRobotics. On the other hand, the systematic study of digital fundamentals in the intro class maynot be possible as it would require a significant extension of an already tight syllabus. Whatcould be done to resolve this dilemma?This paper reports on our pedagogic method of introducing the microprocessor material on oneparticular class laboratory in an engaging yet technically correct way that is particularlyappealing to non-major students. The laboratory syllabus includes the following steps: 1. The base circuit is a single power MOSFET connected in series with a small DC motor and a protection diode. 2. A PIC microcontroller is the source of control signals for the power MOSFET
engineering later – but since they are not currentlyclassified as seniors they were not considered in the current study.The students' responses were grouped into 14 different categories and tallied. The categoriesused were “Math/Science,” “Better World,” “Problem Solving,” “Build Things,” “Practicality,”“Specific Field,” “Prepare for Other Career,” “Family,” “Broad,” “Groups,”Innovative/Creative,” “Previous Experience,” “Good Career,” and “How things Work.” The restof this section is dedicated to defining these groups, shown in Table 1. Table 1. Coding for Student Motivation EssaysCategory Description ExampleMath/Science Indicate aptitude or enjoyment of a math
material integration within linked courses2, 5, 6 to fully integratedcurricula for the first year students7, 8 and living learning communities9. Most learningcommunities focus on the first-year cohorts where the attrition rates are the highest. A learningcommunity can be functionally defined as “a broad structural innovation that can address avariety of issues from student retention to curriculum coherence, from faculty vitality to buildinga greater sense of community within our colleges.”1 Learning communities are more sustainablethan many other educational reforms10.High attrition rates are even more pronounced among low-income, first-generation collegestudents (which closely resemble the student demographics at Colorado State University -Pueblo
everyone who uses those rooms, to our surprise. It is a very popular feature. The remaininggroup study room is slightly smaller, only holding a table that seats four. All three group studyrooms also feature a large white-board on one of the walls, along with three glass walls whichallow for marker writing (and are also used heavily). The rooms check out for four hours, andwe have students lining up at our door before we open to grab them. They are in constant usethroughout the day until we close. There are ten desktop computers on a high counter that is a comfortable height for walk-up use. However, for each computer there is a comfortable chair that is raised for the counterheight (See Fig. 1). The computers are managed by our campus
guided this evaluation at this early stage: RQ1: What are the socio-demographic, academic, and cognitive characteristics of PLTW students and what characteristics are associated with PLTW participation? RQ 2: Do PLTW students take more math and science courses than non-PLTW students? RQ3: Is the cognitive improvement for PLTW students greater than that for non- PLTW students?DataThese three research questions were investigated using merged datasets, which are maintained bythe Iowa Department of Education. This merged PLTW dataset currently includes two datasources. These are: 1) Project EASIER, which includes PK-12 data, including PLTW status, standardized test
” perspective [5]. Theconceptualization of transfer shifts away from the expert’s viewpoint to an actor’s or learner’sviewpoint. In this approach, the goal is to understand the “relations of similarities created” by thelearner and how they are supported by the environment. The focus is not on whether the righttype of transfer is obtained but rather on determining what kind of similarities the students see.Another modern approach to transfer has been proposed by Bransford & Schwartz [1]. Transferstudies in their view have relied too much on “sequestered problem-solving”, in which a studentis explained a problem then asked “cold” to solve a similar problem thus giving negative results.They promote an approach using “preparation for future learning
with manyuniversity-level educators, and, in turn, stimulate education researchers to re-evaluate thepotential of current STEM initiatives to reverse the declining trend in STEM education in theU.S.A.1. IntroductionThe needs related to science, technology, engineering and mathematics (STEM) education in theUSA are many. A well-recognized need is for more K-12 students to pursue STEM disciplines atthe university level. It is the acknowledgement of this need that is central to the various STEMinitiatives at the National Science Foundation (NSF), as well as other funding agencies. Thereare a wide variety of reasons responsible for the increased lack of interest in STEM subjectsamong younger (K-12) students. Based on the proposals that were funded
quantitativequestions include those with multiple choice answers or data that was easy to measure, while thequalitative questions include those with open-ended responses. The survey questions aregrouped into five sections pertaining to 1) Instruction, 2) Course Description, 3) StudentPerception, 4) Course Material and Content, and 5) Teaching Methods. Presented in this paperare the major findings from the quantitative survey questions. See Figure 1 for a list of thesequestions. A forthcoming paper will report on the full survey results. Page 22.58.2 Instructor What is the highest degree you obtained? What
andTechnology Gateway Ohio (SETGO) Summer Research Program at Bowling Green StateUniversity which facilitated undergraduate research and was sponsored by the National ScienceFoundation.1Solar Cell I-V Characteristic CurvesSolar cells are characterized by their current-voltage (I-V) characteristic curves.2,3 An exampleof one is shown in green in Fig. 1. This curve shows how the voltage generated by the solar cellvaries with the current drawn from it. The I-V curve shows how the solar cell will operate undervarying parameters such as light intensity and temperature. Ironically, the hotter the solar cellgets, the less efficient it becomes. With the solar cell being underneath the sun all day, thisbecomes an issue.Two important points on the I-V
. Page 22.60.3Force Table: Workbenches and ordinary classroom tables were made into force tableswith some common hardware as seen in Figure 1. Pulley supports were made in a varietyof ways starting with steel angle braces, eye hooks, and C-clamps. (See Figure 2.)Students were required to hang different masses on two the three strings shown and bringthe system into equilibrium by pulling on the third string with a force gauge; pulleypositions and masses were adjusted as needed such that the knot was over the table. A360 degree protractor was then used to identify directions for each string. Starting with aFBD, students were to add the three applied forces confirm that the net force was zero.Graphical, trigonometric, and components solutions were
the robot’s functionality from within MATLAB’spowerful integrated development environment, which already includes numerical solvers, imageprocessing routines, neural network libraries, and control system design tools. We describe thedevelopment process and the toolbox’s features; and illustrate its capabilities with some projectsfrom our own Introductory Robotics class where it was beta tested. A student opinion surveyindicated that the toolbox was well received, but suggests its stability could be improved.1. IntroductionIt has been widely noted that engineering students benefit from a variety of teaching approaches,in particular visual and experiential learners prefer hands on laboratory experiences [1].Teaching robotics is no exception [2
Materials and Manufacturing. Even if produced elsewhere, the cost,quality and speed to market are not guaranteed unless products are designed for bothfunctionality and manufacturability by engineers trained to work in a team environment1,2.This paper describes one of the laboratory experiments developed for the ManufacturingProcesses class in the Mechanical Engineering Program at Texas A&M University-CorpusChristi. This four-credit-hour junior-level course is offered along with the following fourlaboratory experiments:1) Aluminum casting of multiple parts shaped as tensile testing specimens: Students evaluate thequality of these parts through visual inspection and destructive testing. This is the most involvedexperiment of all four and the main
training team were shared with their counterparts from the Affiliate Universities.Meetings were then held to obtain input and feedback on the lesson plans and assessments,discuss the structure and frequency of the training, address past challenges and successes, andprepare the new teams for implementation of the professional development model. The firstround of training sessions was conducted between September and November 2010 forapproximately 80 teachers, and was met with high teacher satisfaction as evidenced by thesurvey ratings and comments, and a documented increase in teacher knowledge. Scores on thestandardized assessments increased 28% for CEA, 23% for Inventor Level 1, 62% for InventorLevel 2 questions and 25% for Inventor Level 2
chatsessions for student help, student study group areas, and individual and private student grading. Video of Professor Powerpoint slides or Professor’s writing here Figure 1: DEDP screen shotFigure 1 is a screen shot of a typical DEDP course. Students see video and hear the audio of theprofessor’s lecture as he or she displays the presentation slides (or writing on the board) duringthe on-campus lecture. The presentation slides comprise most of the screen. In addition,professors use tablet monitors to ‘write’ electronically on the presentation slides to highlightimportant information, all of which is captured digitally. Thus, distance-education students willview
9.10% Mechanical Engineering Electrical Engineering 2.90% Industrial Distribution 2.90% 2.90% Industrial Engineering Industrial Engineering Mechanical Engineering Freshmen (N=12) Sophomore and Juniors (N=34) Seniors (N=15)Figure 1. Engineering majors of 2009 SEI program
the undergraduate curriculum) in terms ofcredit hours in these programs ranged from 74.0% to 89.8%1. Core courses make up89.8% of the credit hour requirements at the University of British Columbia (UBC),which until 2010 was the only institution in British Columbia (B.C.) to offer anaccredited program in Civil Engineering. There is therefore limited opportunity to takespecialized and advanced optional technical structural engineering courses in the typicalCanadian undergraduate civil engineering program and in B.C. specifically.The practice of Professional Engineering in Canada is self-regulated by Provincial andTerritorial associations. Each of the associations’ Code of Ethics are modeled on those ofEngineers Canada, which contains an
prior theoretical knowledge and background of the students in power electronics,combines the sophisticated Texas Instruments (TI)’s hardware tools with MATLAB/Simulinksoftware tools to design, test, and rapidly prototype power-electronic circuits. A detaileddescription of the tools along with their use in the developed laboratory is presented.Index Terms – Power electronics, digital control, micro-controller, MATLAB/Simulinkenvironment, MATLAB Real Time Workshop, rapid prototyping.IntroductionPower-electronic-based systems are being used in a wide range of applications includingvehicular propulsion systems, industrial applications and motor drives, electromechanical motioncontrol, and grid integration of renewable energy resources [1, 2]. The
projects in school year 2009-2010. It also shows qualitative assessment data that support following conclusions: 1) studentstook more ownership of their duties on the project through involvement in planning andmodules; 2) students implemented project scheduling and monitoring to their capstone projects,effectively beginning to develop related skills; and 3) faculty advisors were for most partfocusing only on the technical parts of the project, effectively leaving the management tostudents and a few in-class workshops. The paper also offers suggestions on how to motivateand train the students and faculty for future years.IntroductionAt Seattle University all engineering seniors are required to participate in a three quartercapstone senior design
student’s development over time.IntroductionResearch has shown that identifying with engineering contributes positively to students’persistence in earning an engineering degree.1, 2 While some students may enter engineeringprograms with the belief that he or she is “an engineering-type person,” this is not true for allstudents.3 Therefore, engineering educators and administrators need ways to encourage students’engineering identity development. However, current research lacks a clear understanding of howstudents’ develop identification with engineering and what universities can do to enhancestudents’ identification with the profession.To begin closing this gap, we designed a multi-institution study that enabled us to examine andcompare a military
. Page 22.70.2Research QuestionsThe research questions in this study are: 1) How do prediction performances of multi-outcome model compare with those of individual single-outcome models? 2) Do the important predictors identified by the multi-outcome models align with those identified by single-outcome models? 3) Are the important predictors of first-year retention the same as those of first-year GPA?Modeling Student Success in EngineeringFigure 1 shows the framework of our model of student success. The predictors, listed at the leftin the figure, can be grouped into two categories: the affective measures and the high schoolhistory matrix. Affective measures include nine factors: expectancy, leadership, meta-cognition,major
reporting only on the first stage of theproject.The curriculum team focuses on critique of current practices as well as the development ofknowledge for the Socially and Environmentally Just Engineer. They are considering thequestions below:1.What does engineering look like, now and in the past, which contributes to social andenvironmental justice/ injustice both locally and globally?2.What does / how should a post development critique of industrial development contribute toengineering practice in developing countries in a time of globalisation?3.Learning from history to avoid repeating the atrocities of the past. What examples are therenow and in the past of how engineering contributed to abuse of power and inequalities amongpeople? How can we
: Page 22.72.6 Table 1: Approximate Costs per Student $2,475 Program costs (housing, side trips, etc.) $1,000 Airfare $ 795 Tuition $ 500 Food $ 300 Books, passport, entry fees, other $5,070 TOTALFor most of our students, this cost is quite extensive. However, there is some financial aid atETSU which assist in these expenses. Every student at ETSU pays a $10 fee per semester forforeign travel. This money is made available in the form of scholarships to students who desireto travel abroad. For the ETSU at Rome Program, students can apply for up to
containing highly tensioned cords made ofsinew or hair. Figure 1 shows a 1/12 scale model of a 1 talent (58 lb stone) ballista built byone of the authors. The full size machine would top out at about 18 feet high. Page 22.73.2 Figure 1 The form of the ballista that is described by Heron and Philon.In this configuration wooden arms were inserted perpendicularly through the cord bundlesabout half way up the spring cylinders which were made up of the cords. The two outsideends of the arms were attached to a bowstring which was drawn back by a windlass and heldin place by a trigger device. Then the projectile, either an arrow or a stone sphere
computer engineering studentsinto the project. The main idea at that point was to attempt to form multidisciplinaryteams. The teams were multidisciplinary but there was little interdisciplinary interaction.Around 6 years ago, in 2004, standardization of the design practices was implementedand multidisciplinary interaction increased slightly. In 2005, further improvements weremade to the project that required more interdisciplinary design and testing effort. 4 Whilethese changes were effective, the mechanical engineering faculty involved with theproject deemed the required effort to be high for the 1 credit course. Subsequent surveydata showed that the level of interdisciplinary interaction decreased after the additionalrequirements were not