interventions and engineering problem-solving in a well-balanced engagementand learning process, and the other two with a brief outline of the setup and pertinent engineeringprinciples.Escape: Designed from a first-person perspective, the game starts in a dark room where theplayer character wakes up and realizes that he is locked in the classroom (Fig. 3 (a)). While he isseeking a way out (e.g., typing the door key), a talking computer in the room asks him to conductseveral DC circuit analyses to be able to retrieve the correct door code (Fig. 3(b)). Meantime, thetalking computer provides some design guidance in a road map as seen in Fig. 1, showing thekey DC circuit fundamentals. The road map can then be deactivated and re-activated through themenu
algorithm visualizations. ACM SIGCSE Bulletin 32 (2000), 109-113.[11] R. Baecker. Sorting Out SORTING: A Case Study for Teaching Software Visualization in Computer Science, in: J. T. Stasko, M. H. Brown, and B. A. Price, editors. Software Visualization, MIT Press, Cambridge, MA, 1997[12] L. Stern, L. Naish, H. Sondergaard. Algorithms in Action. http://www.csse.monash.edu.au/˜dwa/Animations/index.html, 2000. Page 22.1621.14[13] B. Thompson, D. J. Pearce, C. Anslow, G. Haggard. Visualizing the computation tree of the Tutte polynomial. In SOFTVIS’08: Proceedings of the ACM Symposium on Software Visualization. Herrsching
22.1212.10Table 2, below, summarizes the performance in terms of the percentage of students whocompleted the problem perfectly or with one minor error. These students can be considered tohave firmly mastered the material, which is the desired level of competence for OrthographicProjection.Table 2. Percentage of students with zero errors or a minor error in test problems.TEST PROBLEM GROUP A GROUP B (CADD-intensive) (Drawing board-intensive)Test 1, Problem 5 59.2 50.0Test 1, Problem 6 25.9 62.5Test 1, Problem 7 25.9 37.5Test 2, Problem 2 39.1
box on a computer screenversion of the plot plan diagram shown in Appendix B. The box is located next to the vesselor location of the tag. In this case, it appeared next to vessel E808. When the worker scansthe access pass at Reader 2, which is located in the field near the entrance to the unit, the yel-low box turns green to indicate that someone is in the field working at that location.If the worker was to leave the unit (by scanning the access card again) to get a part or take abreak, the box turns yellow again. This acts an indicator to show that even though the workeris not in the field, their permit is still active. When the worker finally finishes their job for theday, he returns the tag to the Chief Operator. When the Chief is
, 3.12 and 2.89 respectively.In order to further assess the contribution of basic circuit knowledge on the lab practicum results,the control and solo groups were sub-divided into two partitions based on students' grades in thecompanion circuits lecture course. Students who earned an A or B in Circuits II were segregatedfrom those who earned a C or less. The A-B partitions consisted of 80% of the control group and60% solo groups. A comparison of the lab practicum grades between these two partitions of thecontrol group yielded no significant difference. However, in the solo group there was astatistical difference between the A-B and C or less partitions (D=0.33 and p<0.05). Thecumulative distribution functions for the combined control group and
are: (1) problem-solvers – able to frame and applyunderstanding to solve problems; (2) inter-disciplinary thinkers – able to think across disciplines;(3) self-reliant – able to set their own pace of study and work within specified time frames; and(4) technology-capable – able to understand and apply technology to master skills and to solveproblems. 11,12,13,14,15 These attributes parallel those of a successful engineering student.According to Wolff-Michael Roth, “The major educational goal in engineering design is thatstudents can develop two important kinds of knowledge necessary for making increasinglyintelligent choices and decisions: (a) deep familiarity within a specific domain [content]; and (b)strategies for bringing structure to
assessment of the presentations. The rubric used in theElectromagnetics course is included in Appendix B. A similar one was used in the Statics andDynamics course. The presentations were graded using the following criteria: • Organization • Grammar • Content • Eye contact • Creativity • Audience interaction, Q&A • Presentation style • Audience response • Use of language: word choice, voice • Length of presentationThis rubric is similar to the rubric used to assess traditional style presentations, except in thepresentation style criterion that was added to
22.1706.4Students reported substantial increases in their confidence in computing because of the CS-0 course. Forexample, 100% of students reported a slight or strong increase in confidence that they could excel in theirdiscipline over the next semester, complete all the math requirements for their major with a grade of B orhigher, and complete the upper-level courses in their major with a grade of B or higher. Almost allstudents also reported an increase in their confidence that they could program a computer—one studentreported a slight decrease in confidence.Students reported that the CS-0 course increased their interest in computing and technology applications.Fully 25% of students reported that they already had strong prior interest in computing and
API libraries to access andcontrol these blocks. The processor is programmed by using the API libraries and C Language.The boards that are used in this paper are shown in Figure 1. Figure 1(a) displays the PSoC1Evaluation board while Figure 1(b) shows the wireless PSoC1 Low Power RF node. Both boardsare Cypress Semiconductor products. Page 22.437.3 Figure 1(a): PSoC1 Evaluation Kit Figure 1(b): PSoC CYFI Low Power RF NodeIII. Pulse Width Modulation Fan Control ProjectAn instructional application of embedded systems is designing an efficient fan-basedtemperature controller. Van Ess et. al presented this design project in their
y Vin x PP 6 Bit 2 Vout Sense A AD 6 PP 5 Bit 3 Vout Sense B xAnalog input PP 4 Bit 4 GND signal Signal 68HC12 AD557 PP 3 Bit 5 GND 10 uF conditioning Microcontroller Ri Rf
Computing 2) Differentiation 3) Nonlinear Equations 4) Simultaneous Linear Equations 5) Interpolation 6) Regression 7) Integration 8) Ordinary Differential Equations 9) Partial Differential Equations 10) Optimization, and 11) Fast Fourier Transforms.At USF, the syllabus covers the first eight topics. As a pilot study, we developed endless online Page 22.1626.2quizzes (EOQs) for all the three subtopics of Topic#4: Simultaneous Linear Equations (SLE)taught in the class a) Background of Matrix Algebra, b) Gauss Elimination and c) LU Decomposition.All quizzes had 6-7 questions, and were of algorithmic form. This
c American Society for Engineering Education, 2011 Teaching-Learning Interviews to Understand and Remediate Student Difficulties with Fourier Series ConceptsAbstractTeaching-learning interviews have been used in education to identify students’ conceptualweaknesses and to improve learning. This effort utilized teaching-learning interviews in a Spring2010 linear systems course to (a) identify the conceptual difficulties that students face whenstudying Fourier series and (b) improve students’ understanding of this topic. These interviewsattempted to focus more on higher-level Fourier series concepts (consistent with levels 4 through6 in Bloom’s taxonomy) and less on the procedural calculations and plotting (levels 1
compete for a slot, take a college course and attend workshops thatshowcase STEM majors. Students earning a B or higher in their college course are automaticallyaccepted to Penn State Behrend. In 1996 a one day event was started for 7th and 8th grade girlscalled Math Options Career Day. Last year 38 and 243 students respectively attended theseevents. Also during this time period, engineering faculty would visit public schools as requestedby teachers. It was in 2006 that Penn State Behrend‟s outreach program blossomed. The majorityof the events developed focus on middle school and high school females. Students participate invarious hands-on activities that demonstrate to them how they could positively impact thesociety and community by choosing a
identified them. Theinstructor also used the overlay feature to overview the operation of a deep brain stimulationdevice (Fig. 2b) and illustrate the different phases of the neural action potential (Fig. 2c).Figure 2) The ability to overlay digital ink on prepared slides with biomedical engineeringrelated images aids the explanation of (a) various types of bioelectrical signals, (b) the basicoperation of a deep brain stimulation system, and (c) the process of generating a neural actionpotential.Share ControlNormally, the students’ monitors display what ever appears on the instructor’s panels. However, Page 22.571.4the instructor can grant to any
detailed description of thesoftware and hardware used in our test scenario are the following:The ImplementationThe Cloud is based on virtualization components [4]. It offers flexibility of resource useand installation of custom applications. The Cloud by his role allows users to connect toWeb services without installing or buy special equipment. This new concept of remotelaboratory in the Cloud Computing Era, instead of what we and all other involved inresearch on virtual learning environments are most of the time doing for years[1-3],mainly helps in three ways: a) no or little time and money is spent to set a sophisticatedlearning management environment; b) no more need to buy and install remote accessibledevices in a centralized laboratory and
for the first time, what he didn’t realize was that thereal challenge for the students was the difficulty in understanding the inner structure of thesedata tables. As a result, a few students failed to learn this course very well. The final exam scoresof the whole class are shown in Fig. 1(a). In the fall of 2010, the author taught this course for asecond time and issued a final exam which shared 90% of the problems used two years ago. Fig.1(b) shows the scores of this final exam, and it indicates that the students’ performance hasimproved significantly. 80 80 Fall 2008 Fall 2010 60
National Science Foundation (NSF).Sullivan8 advocated an integrated K-16 approach towards engineering education that establisheslong-term knowledge and skill building relationships between K-12 and higher-educationsettings.Recent science education reform focuses on the concerns that students are not gaining the skillsets necessary to maintain America’s economy.9 There has been a general call to change schoolexperiences to prepare students’ for life and work in today’s global economy.10 Meadows11stated that learning science by inquiry is central to these reforms as students will need skills for:(a) finding, organizing, and managing information; and (b) team working, oral communication,and print communication. To facilitate such changes educators
provides a summary of assessment results.Table II. Process Intensification Pre/Post Survey of Student Knowledge1. In Moving Bed Technology: a. the solid phase is stationary and the liquid phase moves b. both solid phase and liquid phase move c. the liquid phase is stationary and the solid phase moves2. In Simulated Moving Bed Technology: a. the solid phase is stationary and the liquid phase moves b. both solid phase and liquid phase move c. the liquid phase is stationary and the solid phase moves3. Moving Bed Reactor Technology and Simulated Moving Bed Reactor Technology both combine reaction with: a. distillation b. extraction c
http://engr.georgefox.edu/Chirps.Acknowledgements This material is based upon work supported by the National Science Foundation under GrantNo. 0720526. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Page 22.1432.12References1 G. Spivey, B. Harder, , “Starting a Multidisciplinary Senior Capstone Design Course”, 2007 Capstone Design Conference, June 2007, Boulder, CO.2 D. Heer , R. Traylor, T. Thompson., and T. Fiez,, “Enhancing the Freshman and Sophomore ECE Student Experience using a
')$! +78)'A'2'*1(!)*!3%$4!#$%6@71(0!(4),,!6'A',%#2'*10!+*6!,'+$*)*/.!!!! Page 22.328.4!Table 2. The IDEALS assessments and for each module family75B2>C% B-6=>&% 5!!&!!B&34%536%6&!2D42-3% 4#()E+0F%D*(1181G%H7I% 4#()E+0F% D$'+1'!+!7%*1$+71!$'/+$6)*/E!$%,'(0!$',+1)%*(8)#(0!!(@77'(('(0!78+,,'*/'(=!$'A)('6!1'+2!7%*1$+71.% 4#()E+0F%5.L8#9#O%H!I% 4#()E+0F% F+1'!+*6!+##%$1)%*!2'2;'$!7%*1$);@1)%*(=!6'(7$);'!2'2;'$!7%*1$);@1)%*(!+*6! 5.L8#9
Effective Teams. Journal of Student Centered Learning, 2: 9-34.4. R. Marra, K. Rodgers, D. Shen, and B. Bogue, 2009. Women Engineering Students and Self-Efficacy: A Multi- Year, Multi-Institution Study of Women Engineering Student Self-Efficacy. Journal of Engineering Education, 98: 27-38.5. A. Bandura, 1977. Self- Efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84: 191-215.6. A. Carberry, H-S Lee, and M. Ohland. 2010. Measuring Engineering Design Self-Efficacy. Journal of Page 22.739.8 Engineering Education, 99: 71-79.7. R. Felder, G. Felder, M. Mauney, C. Hamrin, and E
have been tailored for many subjectareas, but more work on adopting this approach for engineering education is warranted. Forinstance, because of the technical restrictions of the programming for such virtual worlds, theimplementation of realistic laboratory exercises has turned out to be very challenging.In this paper, the development of a classroom and a laboratory space with a number ofengineering experiments in Second Life/OpenSim 6.7 is described. The technical problemsencountered during this development can be divided into three main groups: (a) insufficientvisual appeal of the object models, (b) problems with the physics engine and (c) limitedprogramming capabilities. The object models are low in graphical quality, giving them
14% (Aerospace had onerespondent) with 18 non-engineering respondents. First generation college students comprised25% of the respondents (4 skipped the question), yet 81% of the respondents were firstgeneration engineering or science majors.Reflections are provided throughout the paper followed by the survey results and conclusions.Reflections are organized as follows:I. Opening a dialogue on diversity a. Developing a reputation for being approachable b. Talking with students about perceptions Page 22.1357.3 c. Obtaining feedback on climate in classes / departmental community d. Learning about
. Group B Group A (traditional students) Sophomore 1. Computer game Industrial process Power electronics (second semester) software control Junior 2. Multimedia Analog network Microcontroller (first semester) programming signal processing systems II Junior Real-time DSP Communication Technical (second semester) elective systems elective Figure 1
with a high score just based on academic intelligence, but toend up with a total high score only if a student assesses him or herself as strong in academics,comfortable with topics and skills that are foundational to the course at hand, and good atworking with teams. (An example of a team index sheet is included in Appendix B.) Whenstudents complete and turn in the index sheets, the groups are generally established immediatelyduring class by sorting the completed index scores from highest to lowest and then distributingthe sheets, based on index only, to form groups with roughly the same total index scores. Thisdistribution is accomplished by using the sorted stack of index sheets and distributing them intostacks (one stack per group) in an
variables were specificallyfocused on four perception skills that are the core topics in the entire course. Therefore, lookingat students’ drawing portfolio with assessment variables is very important and critical. Datawere drawn by histogram shown as the followings: Six Assessment Elements for Pencil Portforlio 100.00 Percentae of Grade 80.00 Grade A 60.00 Grade B 40.00
across campus.Prior to the first meeting, participants responded to three open-ended questions; Cohort memberswere asked to: (a) list what they hoped to gain from participation, (b) what topics they would liketo discuss and (c) what resources and skills are important for future career success. The mostprominent theme from the responses was the desire to enhance leadership skills. Also cited were:developing effective career management strategies, gaining professional advice throughmentoring, and learning new self improvement skills (see Table 1). In addition to leadership,participants wanted information about how to negotiate various aspects of the workplace tocreate an environment conducive to attain their goals. These included interpersonal
both Revit and Vico. Considering these factors, together with the ease ofavailability of the two software packages, it was decided to select Revit and Vico as the BIMsolutions under study.The Body of Knowledge (BOK) for ConE EducationLike any other pedagogical techniques, BIM technology should be integrated into ConEcurricula to accomplish their BOK requirements.Hildreth and Gehrig21 identified the following four principal knowledge areas and their subsetsof knowledge and skills to define the ConE BOK: I. The knowledge and skills associated with cost estimating include: a. understanding the requirements of the work based on the drawings and specifications; b. estimating work quantities; c. evaluating and selecting appropriate
AC 2011-1353: CREATING GREEN THINKING ENGINEERS THROUGHTHE CREATION AND USE OF AN INDUSTRIAL ENERGY MANAGE-MENT COURSEDonald C. Richter, Eastern Washington University DONALD C. RICHTER obtained his B. Sc. in Aeronautical and Astronautical Engineering from The Ohio State University, M.S. and Ph.D. in Engineering from the University of Arkansas. He holds a Pro- fessional Engineer certification and worked as an Engineer and Engineering Manger in industry for 20 years before teaching. His interests include project management, robotics /automation, Energy Manage- ment and air pollution dispersion modeling Page 22.394.1
2009-2010 30 25 20 % of Students 15 10 5 0 A B C D FWhile this is certainly not an unreasonable grade distribution, it does indicate that a majority ofthe students are missing, or only minimally grasping, important ideas central to the attainment oftechnological literacy.A closer review of student work during the first year of the course showed mixed results, withstudents generally able to explain a technology and the advantages and disadvantages of usingthe technology, but often showing weakness in differentiating between science and technology,explaining the scientific